#What Excel skills do data analysts need?

[dataanlystcoursetip]

Essential Excel Skills Every Data Analyst Should Master

Excel is a cornerstone tool in the world of data analysis. Its versatility, combined with powerful features, makes it invaluable for professionals working with data every day. If you want to thrive as a data analyst, developing strong Excel skills is not just beneficial — it’s essential.

Whether you’re just starting or looking to level up your expertise, focusing on the right Excel capabilities can make your work faster, more accurate, and insightful.

In this article, we’ll explore the key Excel skills data analysts classes should master, along with practical tips on how to apply them effectively.

Data Import and Cleaning: Preparing Your Data for Analysis

Before you can analyze data, you need to get it into Excel and ensure it’s clean and reliable. Data import involves bringing information from various sources — CSV files, databases, web pages, or other software — into your workbook.

Once imported, cleaning the data is crucial. This means handling missing values by deciding whether to fill, ignore, or remove them. Removing duplicates keeps your dataset accurate, while correcting errors like inconsistent formatting or typos prevents misleading results.

Using Excel’s built-in features such as Text to Columns, Find & Replace, and Data Validation can speed up this process and improve data quality.

Data Transformation: Shaping Your Data to Tell a Story

Raw data often isn’t ready for analysis. You’ll need to transform it by manipulating and reshaping to answer your questions better. Excel functions like CONCATENATE help you combine text fields, while LEFT and RIGHT extract specific parts of strings, such as area codes from phone numbers.

VLOOKUP is a classic function for merging data from different tables, but learning INDEX-MATCH can give you more flexibility and reliability.

PivotTables allow you to pivot your data, meaning you can rearrange rows and columns quickly to summarize and explore your data from multiple angles.

Data Analysis Functions: Extracting Meaning from Numbers

A solid understanding of Excel’s data analysis functions is a must. Functions like SUMIFS and COUNTIFS let you sum or count data conditionally — for example, calculating total sales for a particular region or counting customers by segment.

AVERAGEIFS works similarly, enabling you to find average values based on multiple criteria. MAX and MIN help identify extremes, while SUMPRODUCT allows for weighted calculations that can combine multiple arrays logically.

Logical functions such as IF, AND, and OR help create dynamic formulas that change results based on conditions, essential for scenario analysis and decision-making.

Data Visualization: Making Your Insights Visible

Numbers tell a story, but visualizing those numbers makes the story easier to understand. Creating charts like bar charts, line charts, or scatter plots helps reveal trends, comparisons, and outliers.

Excel’s chart customization options allow you to adjust colors, add labels, titles, and legends, and format axes for clarity and appeal. Well-designed charts make reports more engaging and accessible to stakeholders.

Statistical Analysis: Unlocking Deeper Insights

For more advanced data work, Excel offers statistical functions to calculate measures like mean, median, and standard deviation quickly. These descriptive statistics give you a snapshot of your data’s distribution and variability.

Excel’s Data Analysis ToolPak adds capabilities for hypothesis testing, regression, and ANOVA, allowing you to perform basic statistical analysis without needing separate software.

Advanced Formulas: Taking Your Analysis Further

Once you’re comfortable with basics, exploring advanced formulas can dramatically enhance your efficiency. Array formulas, for example, perform calculations on multiple values at once, reducing the need for repetitive tasks.

The combination of INDEX and MATCH is a powerful alternative to VLOOKUP, especially for large datasets where performance and flexibility matter.

Data Validation and Error Handling: Keeping Your Data Reliable

To ensure the integrity of your data, learn to implement data validation rules. These rules restrict inputs to expected formats or ranges, preventing incorrect or inconsistent data from entering your sheets.

Equally important is setting up error handling within formulas using IFERROR or ISERROR functions, which help manage and display meaningful messages instead of cryptic error codes. This practice makes spreadsheets more user-friendly and trustworthy.

Time Series Analysis: Working with Dates and Trends

If your data involves dates, mastering Excel’s date and time functions will help you analyze trends over time effectively. Calculating moving averages smooths out fluctuations, highlighting underlying trends.

You can also explore seasonality by comparing data across different time periods, helping businesses plan better and forecast accurately.

Quick Recap: Key Excel Skills for Data Analysts

Import and clean data from diverse sources to ensure quality

Transform and manipulate data using functions like CONCATENATE and VLOOKUP

Use conditional functions such as SUMIFS and IF to analyze data effectively

Visualize data with charts for clear, impactful storytelling

Apply statistical tools for deeper data understanding

Build advanced formulas including array functions and INDEX-MATCH

Maintain data integrity with validation and error handling

Analyze time-based data for trend and seasonality insights

Conclusion

Excel remains a fundamental skill for any data analyst aiming to deliver actionable insights. From importing raw data to creating advanced visualizations and statistical analysis, mastering these core Excel skills will boost your confidence and effectiveness.

Start by practicing with your own datasets, experiment with the features highlighted here, and seek out tutorials or courses to deepen your knowledge. With steady practice, Excel will become your trusted partner in turning data into decisions.

If you want recommendations for beginner-friendly Excel courses or project ideas to get hands-on experience, feel free to ask.

[gnh5blog]

A TURN FROM B.Com OR BBA GRADUATE TO 

DATA ANALYST

The business world is changing, and so are the opportunities within it. If you've finished your studies in Bachelor of Commerce (B.Com) or Bachelor of Business Administration (BBA), you might be wondering how to switch into the field of data analysis. Data analysts play an important role these days, finding useful information in data to help with decisions. In this blog post, we'll look at the steps you can take to smoothly change from a B.Com or BBA background to the exciting world of data analysis.

What You Already Know:

Even though it might feel like a big change, your studies in B.Com or BBA have given you useful skills. Your understanding of how businesses work, finances, and how organisations operate is a great base to start from.

Step 1: Building Strong Data Skills:

To make this change, you need to build a strong foundation in data skills. Begin by getting to know basic statistics, tools to show data visually, and programs to work with spreadsheets. These basic skills are like building blocks for learning about data.

I would like to suggest the best online platform where you can learn these skills. Lejhro bootcamp has courses that are easy to follow and won't cost too much.

Step 2: Learning Important Tools:

Data analysts use different tools to work with data. Learning how to use tools like Excel, SQL, and Python is really important. Excel is good for simple stuff, SQL helps you talk to databases, and Python is like a super tool that can do lots of things.

You can learn how to use these tools online too. Online bootcamp courses can help you get good at using them.

Step 3: Exploring Data Tricks:

Understanding how to work with data is the core of being a data analyst. Things like looking closely at data, testing ideas, figuring out relationships, and making models are all part of it. Don't worry, these sound fancy, but they're just different ways to use data.

Step 4: Making a Strong Collection:

A collection of things you've done, like projects, is called a portfolio. You can show this to others to prove what you can do. As you move from B.Com or BBA to data analysis, use your business knowledge to pick projects. For example, you could study how sales change, what customers do, or financial data.

Write down everything you do for these projects, like the problem, the steps you took, what tools you used, and what you found out. This collection will show others what you're capable of.

Step 5: Meeting People and Learning More:

Join online groups and communities where people talk about data analysis. This is a great way to meet other learners, professionals, and experts in the field. You can ask questions and talk about what you're learning.

LinkedIn is also a good place to meet people. Make a strong profile that shows your journey and what you can do. Follow data analysts and companies related to what you're interested in to stay up to date.

Step 6: Gaining Experience:

While you learn, it's also good to get some real experience. Look for internships, small jobs, or freelance work that lets you use your skills with real data. Even if the job isn't all about data, any experience with data is helpful.

Step 7: Updating Your Resume:

When you're ready to apply for data jobs, change your resume to show your journey. Talk about your B.Com or BBA studies, the skills you learned, the courses you took, your projects, and any experience you got. Explain how all of this makes you a great fit for a data job.

Using Lejhro Bootcamp:

When you're thinking about becoming a data analyst, think about using Lejhro Bootcamp. They have a special course just for people like you, who are switching from different fields. The Bootcamp teaches you practical things, has teachers who know what they're talking about, and helps you find a job later.

Moving from B.Com or BBA to a data analyst might seem big, but it's totally doable. With practice, learning, and real work, you can make the switch. Your knowledge about business mixed with data skills makes you a special candidate. So, get ready to learn, practice, and show the world what you can do in the world of data analysis!

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[onlineprofessionalcourse]

Power Up Your Career with Online Power BI Certification Training

In the data-driven world of today, the ability to transform data into actionable insights is a skill that holds immense value. Microsoft Power BI, a powerful business analytics tool, allows you to do just that. With the right training, you can become proficient in Power BI and take your career to new heights. This article introduces you to the world of Power BI and how online certification training can be a game-changer for your career.

The Significance of Microsoft Power BI

Unleashing Data Insights

Microsoft Power BI is a leading business intelligence and data visualization tool. It enables users to connect to various data sources, transform data, and create interactive, shareable dashboards and reports. With Power BI, you can unearth insights, make informed decisions, and drive business growth.

In-Demand Skill

As organizations increasingly rely on data-driven strategies, the demand for professionals who can harness the power of Power BI has surged. Companies across industries seek individuals with the ability to analyze data and communicate insights effectively. Therefore, learning Power BI is not just a career choice; it's a strategic move.

The Power of Online Certification Training

Online Learning Advantage

Online certification training offers a convenient and flexible way to acquire new skills. You can access high-quality training programs from the comfort of your home or office, allowing you to learn at your own pace. This flexibility is especially valuable for those with busy schedules.

Hands-On Experience

Effective learning requires practical experience. Quality online Power BI certification training includes hands-on exercises and real-world projects that enable you to apply your knowledge in a practical context. You won't just learn theory; you'll gain practical skills.

Expert Guidance

Certification courses are often created and taught by experts in the field. These instructors bring their real-world experience to the table, sharing insights, best practices, and industry trends. Learning from experts can fast-track your journey to becoming a Power BI pro.

What You'll Gain

Course Content

In a comprehensive Power BI certification course, you will explore various aspects of the tool, including:

1. Data Transformation

Learn how to connect to data sources, clean and transform data, and create data models. Data preparation is a critical step in the data analysis process.

2. Visualization

Discover the art of creating compelling visualizations. You'll understand how to design interactive reports and dashboards that effectively convey data insights.

3. Data Analysis

Master the techniques of data analysis. You'll be able to identify trends, anomalies, and correlations in data, enabling data-driven decision-making.

4. Power BI Service

Explore the features of the Power BI Service, which allows you to share and collaborate on reports and dashboards securely.

Elevate Your Career

Powering up your career with online Power BI certification training is a wise investment. As a certified Power BI professional, you'll be equipped with the skills and knowledge needed to excel in data analytics and visualization. You can pursue a variety of roles, such as Data Analyst, Business Intelligence Analyst, or Data Visualization Specialist. These roles offer not only competitive salaries but also the opportunity to influence business strategies and outcomes.

Don't miss the chance to take your career to the next level. Enroll in an online Power BI certification training program and unlock a world of opportunities. Elevate your career, seize data-driven success, and make a significant impact in the data-centric business landscape.

Source:- https://skillup.online/courses/microsoft-pl-300-power-bi-data-analyst/

[dayisfading]

okay, this week. good god.

alright, so a little context because i don't really talk much in detail here: just under a year ago i was hired for my first job out of grad school, after looking for almost a year. the role seemed kind of below what i SHOULD be able to do with a master's degree but i was also coming up empty for several months and the role was at a nonprofit doing super important, really interesting things so i was like alright cool.

my job description was vague in part because it was a new role being added to support this huge federally-funded initiative (none of which i knew when i was hired). but pretty soon into it i got an idea of what i'd be doing, mostly working in excel, helping to compile data for analysis, doing some quality assurance work for other departments, and other miscellaneous stuff.

currently, however, i am mostly doing data analysis with the datasets i build/help build, and this data analysis is ongoing as we are working with education data with multiple schools in this initiative. the more time has gone on, the more i have been confused as to actual role delineation in my team, because aside from some specialized skills that each member of my team has and their longer tenure with the organization (literally between 3 and 12 years), we are all doing data analysis, and we currently have multiple data automation projects going on that will ideally eliminate the need for someone in my role who has to export/upload and cobble together data from different sources.

a member of our team is probably going to leave to join, funnily enough, our main partner organization in this initiative because they are hiring a director. this person is trying to use that as leverage to increase their pay and obtain a promotion here, but so far it's been clear that our organization isn't that interesting in promoting them (for reasons unknown to me -- they have an incredible skillset that will be very difficult to replace at nonprofit pay rates). so, they'll probably be leaving within the month.

anyway, they called me today in part to talk about work stuff and then gave me an update on that situation. but in that conversation, they also mentioned to me a conversation they had with our boss that circled back to a member of leadership that basically concerned my pay and my role and basically reiterated the question i have been asking myself for months and stated earlier: why exactly is my role different from the others on my team when we are doing similar work and have the same level of education? i didn't know what the analysts on my team make but i could sort of ballpark it based on what i know about pay for some other roles at the organization, and today in this convo they confirmed that they make around $12k+ more a year than i do. import to note that a few months into my work here the organization rolled out these surveys to assess things like culture, compensation, etc., and now they're beginning to put those findings into action. so compension is a noted Issue across the board, and it seems like from that convo that me getting an equitable raise/potentially promotion should be in the pipeline?

i was literally just crying to my therapist yesterday about how i can't afford rent. like i could probably barely afford a really shitty studio somewhere that i really wouldn't want to live and would probably be harmful to my health. i have some truly exorbitant living costs because my food options are so fucking expensive and i need supplements to function because the things i am prescribed don't work. i told her, like, i am living at home and saving money, but i have no fucking clue what i'm saving that money for. i had a map in my head that went undergrad -> grad school -> full-time job and just naively expected that i would eventually be able to -> move out after acquiring one. and now i can't, so i'm just sorta like. well. fuck is the point of all this.

it was so incredibly meaningful to hear someone not just demonstrate that they are advocating for me but to literally say it, like, say that i am valued, that i am doing good work, that i deserve more, because these are things i am questioning every single day. i am constantly wondering what more i would have to do, if i need to get some sort of data science certificate, or do extra courses in a specific program. and on top of that, my self doubt, social anxiety, and imposter syndrome constantly trying to discern whether or not people like me, or think i'm stupid, or think i'm not working hard enough, completely had me convinced that all those things are probably true even if people aren't saying it or doing anything to suggest it.

i have had more kind things said to/about me in the last week than i feel like i have in the whole duration of this job, to the point that it is almost dizzying. because i was literally talking to my therapist last week about this duality of problems i am currently facing which is that i have school brain, so i don't know how to measure success without a literal letter grade or mark of satisfaction, and in absence of that, i am in utter freefall and convinced that i must be failing.

i need to put this somewhere in part so that i don't forget! my brain is exceptional at holding on to negatives and discarding positives, and i need to get better balancing that.

[shivam1605]

Master Financial Analysis with KPMG's Industry-Endorsed Course

If your goal is to learn more about numbers, drive strategic decision-making, or propel yourself higher within the finance funnel, then this program is for you. With a curriculum based on leading industries, the Financial Analysis Prodegree (endorsed by KPMG) in partnership with Imarticus Learning, will provide you with just that.

What Is Financial Analysis?

Financial analysis is evaluating companies, budgets, and projects to assess financial health and long-run viability. Financial analysis is a major part of corporate finance, investment banking, consulting, etc.

Key aspects of financial analysis include:

Ratio analysis

Cash flow analysis

Trend analysis

Forecasting, financial modelling

A structured curriculum in financial analysis will help learners make decisions based on evidence, assess risk, and ultimately, contribute.

Why Choose the KPMG Financial Analysis Prodegree?

KPMG is bringing its global heritage in audit, tax, and advisory to the classroom through this program, making it more than a course, but a pathway to actual finance careers.

What makes this program unique:

Industry-Approved Curriculum: Created with KPMG experts and contains actual case studies, projects, and assessments.

Recognised Certification: Internationally recognised certification to build credibility and employability.

Flexible Learning: 100% online with self-paced learning—great for all students and working professionals.

Practical, Job-Ready Tools: Learn practical knowledge in Excel, Power BI, and SQL - the skills that recruiters want.

Who Should Enroll?

This program is ideal for

Students who graduated with a degree in commerce, finance, or economics

Professionals at the beginning of their careers in finance

Professionals in their careers who are re-skilling to become analytical

Entrepreneurs who make decisions about finances for their businesses. 

If you aim to learn more about numbers, drive strategic decision-making, or push yourself up in the finance funnel, then this program is for you.

What You’ll Learn

Excel for financial modelling

Power BI for data visualisation

Google Sheets for collaborative financing tasks

SQL for basic extraction and analysis of financial data

These tools are embedded into real-world scenarios, solving business problems, not just learning theory.

Career Outcomes

After course completion, you will be ready for roles like:

Financial Analyst

Business Analyst

Investment banker

Budget Analyst

Equity research analyst

Risk manager

Graduates of the course have progressed to working in banks, MNCs, fintech startups, and global consultancies.

Salary Insights

Based on market data:

Entry-Level: ₹4–6 LPA

Mid-Level: ₹8–12 LPA

Senior Roles: ₹15–20 LPA+

Your actual remuneration will depend on your experience, skill set, and what company you join.

Why Financial Analysis is More Crucial Than Ever

Businesses are operating in more volatile and complex circumstances. It can serve to:

Maximise profitability

Reduce costs

Ensuring compliance

Driving growth strategies

It’s no wonder that skilled financial analysts are in high demand across industries.

Getting Started

Enrolling is simple:

Visit the official Imarticus Learning website

Sign up with your details

Choose a payment plan

Join the orientation webinar

Most learners complete the course in 3 to 6 months at their own pace.

FAQs

Do I need to have a finance background?

No. This course is supported for beginners. You will be guided from the basics to the advanced stuff.

What certification will I get?

A globally recognised certification from KPMG. 

Is there placement support?

Yes. You will have a deep recruitment network and job support.

Is the course entirely online?

Yes. The course involves live sessions and recordings, and you will have the help of an online community.

Conclusion

If you’re ready to future-proof your career and learn the language of business and finance, there’s no better starting point than the KPMG-endorsed Financial Analysis Prodegree with Imarticus Learning.

With experiential learning, world-class expertise, and international accreditation, you’ll not only have in-demand skills but also have the confidence to reach evidence-based conclusions for your organisation.

Explore the program today at Imarticus Learning, and take that initial step on the journey to being a high-impact financial professional.

[biittech]

No.1 Data Analytics Course | Designed for Tech Graduates

Data analytics is the backbone of modern decision-making. In an age where data drives industries, understanding how to interpret and leverage this information can set you apart from the competition. Enrolling in a top-notch program can be transformative for tech graduates looking to enhance their skill sets. But with countless options available, how do you find the No.1 Data Analytics Course that suits your needs? This blog will guide you through everything you need to know about diving into data analytics and why it's an essential step for your career advancement. Get ready to unlock new opportunities and elevate your professional journey!

Importance of Data Analytics in Today's World

Data analytics has become a crucial element in today’s decision-making processes. Organizations harness vast amounts of data to gain insights that drive strategic initiatives. Businesses are increasingly relying on data-driven decisions rather than gut feelings. This shift leads to more accurate projections and better resource allocation. Moreover, industries such as healthcare, finance, and marketing leverage analytics for improved outcomes. By predicting trends and understanding customer behavior, companies can tailor their services accordingly. In the age of information overload, making sense of data is essential for remaining competitive. Those who master analytical skills position themselves as valuable assets in any organization. From enhancing operational efficiency to boosting customer satisfaction, the impact of data analytics is profound and far-reaching. As technology evolves, so does the significance of these skills across all sectors.

What to Expect from a Data Analytics Course

When you enroll in a data analytics course, prepare for an immersive experience. The curriculum is designed to blend theory with hands-on practice. You’ll dive into essential tools like Python, R, and SQL. Expect engaging lectures that cover statistical concepts and data visualization techniques. Real-world case studies will be integral, helping you connect the dots between academic knowledge and industry applications. Interactive projects are common. You'll analyze datasets from various fields, enhancing your problem-solving skills while working collaboratively with peers. Guest speakers from leading companies may share insights about current trends in the field. This exposure can deepen your understanding of practical applications and emerging technologies in data analytics. Many programs incorporate mentorship opportunities to guide your journey towards becoming proficient in this exciting discipline.

The Top Skills You Will Learn in a Data Analytics Course

A Data Analytics Course equips you with vital skills that are in high demand across industries. You’ll delve into data manipulation, gaining proficiency in tools like Excel, SQL, and Python. These are essential for transforming raw data into actionable insights. Understanding statistical analysis is another key component. You'll learn how to interpret complex datasets and derive meaningful conclusions from them. This skill empowers you to make informed decisions based on solid evidence. Data visualization techniques also play a critical role. Mastering platforms such as Tableau or Power BI enables you to present your findings visually, making it easier for stakeholders to grasp intricate concepts quickly. Additionally, you'll develop problem-solving abilities tailored for real-world challenges. This holistic approach helps you think critically about business issues while leveraging data-driven strategies effectively. Each of these skills enhances your profile as a capable analyst ready for the workforce.

Why Tech Graduates Should Consider a Data Analytics Course

Tech graduates are uniquely positioned to excel in the field of data analytics. With strong foundations in programming and technology, they can quickly grasp analytical concepts. This advantage allows them to leverage tools and techniques that drive insights from complex datasets. The demand for data analysts is skyrocketing across industries. Companies seek individuals who can interpret data trends and make informed decisions. As a tech graduate, entering this booming sector opens up numerous career opportunities. Furthermore, data analytics combines creativity with technical skills. It encourages problem-solving through innovative approaches—something many tech graduates thrive on. By enhancing their skillset with a specialized course, they stand out in job applications. Pursuing a top-notch program ensures access to networking opportunities and industry connections. Engaging with experienced professionals can lead to mentorships or internships that pave the way for future success in the field of data analytics.

Top Data Analytics Courses for Tech Graduates

For tech graduates eager to dive into data analytics, numerous outstanding courses stand out. The No.1 Data Analytics Course often emphasizes practical experience and real-world applications. You'll engage with projects that reflect industry challenges. Institutes like the No.1 Data Analytics Institute offer immersive programs tailored for those with a technical background. Their curriculum combines statistical skills with programming languages such as Python and R. Additionally, platforms providing online learning options cater to flexibility without sacrificing depth. Courses available nearby can help facilitate hands-on workshops and networking opportunities. Job placement rates of 100% are a common feature among top-tier courses, ensuring that graduates step confidently into the workforce equipped with in-demand skills. Embrace this transformative journey where your passion for technology meets the power of data analysis!

Conclusion

Data analytics has transformed the way businesses operate and make decisions. The growing importance of data means that individuals with analytical skills are in high demand. For tech graduates, pursuing a specialized course can open doors to exciting career opportunities. The best data analytics courses not only equip you with essential skills but also provide real-world experience that employers value. With hands-on training, you'll learn how to interpret complex datasets and present findings effectively. This is crucial for making informed business strategies. Choosing the right program is important. Look for institutes known as the No.1 Data Analytics Institute, which offer a cutting-edge curriculum and have strong industry connections, leading to 100% job placement rates after graduation. If you're a tech graduate eager to dive into this field, consider enrolling in a comprehensive data analytics course near you today. Your future could very well depend on it!

[techit-rp]

Financial Modeling in the Age of AI: Skills Every Investment Banker Needs in 2025

In 2025, the landscape of financial modeling is undergoing a profound transformation. What was once a painstaking, spreadsheet-heavy process is now being reshaped by Artificial Intelligence (AI) and machine learning tools that automate calculations, generate predictive insights, and even draft investment memos.

But here's the truth: AI isn't replacing investment bankers—it's reshaping what they do.

To stay ahead in this rapidly evolving environment, professionals must go beyond traditional Excel skills and learn how to collaborate with AI. Whether you're a finance student, an aspiring analyst, or a working professional looking to upskill, mastering AI-augmented financial modeling is essential. And one of the best ways to do that is by enrolling in a hands-on, industry-relevant investment banking course in Chennai.

What is Financial Modeling, and Why Does It Matter?

Financial modeling is the art and science of creating representations of a company's financial performance. These models are crucial for:

Valuing companies (e.g., through DCF or comparable company analysis)

Making investment decisions

Forecasting growth and profitability

Evaluating mergers, acquisitions, or IPOs

Traditionally built in Excel, models used to take hours—or days—to build and test. Today, AI-powered assistants can build basic frameworks in minutes.

How AI Is Revolutionizing Financial Modeling

The impact of AI on financial modeling is nothing short of revolutionary:

1. Automated Data Gathering and Cleaning

AI tools can automatically extract financial data from balance sheets, income statements, or even PDFs—eliminating hours of manual entry.

2. AI-Powered Forecasting

Machine learning algorithms can analyze historical trends and provide data-driven forecasts far more quickly and accurately than static models.

3. Instant Model Generation

AI assistants like ChatGPT with code interpreters, or Excel’s new Copilot feature, can now generate model templates (e.g., LBO, DCF) instantly, letting analysts focus on insights rather than formulas.

4. Scenario Analysis and Sensitivity Testing

With AI, you can generate multiple scenarios—best case, worst case, expected case—in seconds. These tools can even flag risks and assumptions automatically.

However, the human role isn't disappearing. Investment bankers are still needed to define model logic, interpret results, evaluate market sentiment, and craft the narrative behind the numbers.

What AI Can’t Do (Yet): The Human Advantage

Despite all the hype, AI still lacks:

Business intuition

Ethical judgment

Client understanding

Strategic communication skills

This means future investment bankers need a hybrid skill set—equally comfortable with financial principles and modern tools.

Essential Financial Modeling Skills for 2025 and Beyond

Here are the most in-demand skills every investment banker needs today:

1. Excel + AI Tool Proficiency

Excel isn’t going anywhere, but it’s getting smarter. Learn to use AI-enhanced functions, dynamic arrays, macros, and Copilot features for rapid modeling.

2. Python and SQL

Python libraries like Pandas, NumPy, and Scikit-learn are used for custom forecasting and data analysis. SQL is crucial for pulling financial data from large databases.

3. Data Visualization

Tools like Power BI, Tableau, and Excel dashboards help communicate results effectively.

4. Valuation Techniques

DCF, LBO, M&A models, and comparable company analysis remain core to investment banking.

5. AI Integration and Prompt Engineering

Knowing how to interact with AI (e.g., writing effective prompts for ChatGPT to generate model logic) is a power skill in 2025.

Why Enroll in an Investment Banking Course in Chennai?

As AI transforms finance, the demand for skilled professionals who can use technology without losing touch with core finance principles is soaring.

If you're based in South India, enrolling in an investment banking course in Chennai can set you on the path to success. Here's why:

✅ Hands-on Training

Courses now include live financial modeling projects, AI-assisted model-building, and exposure to industry-standard tools.

✅ Expert Mentors

Learn from professionals who’ve worked in top global banks, PE firms, and consultancies.

✅ Placement Support

With Chennai growing as a finance and tech hub, top employers are hiring from local programs offering real-world skills.

✅ Industry Relevance

The best courses in Chennai combine finance, analytics, and AI—helping you become job-ready in the modern investment banking world.

Whether you're a student, working professional, or career switcher, investing in the right course today can prepare you for the next decade of finance.

Case Study: Using AI in a DCF Model

Imagine you're evaluating a tech startup for acquisition. Traditionally, you’d:

Download financials

Project revenue growth

Build a 5-year forecast

Calculate terminal value

Discount cash flows

With AI tools:

Financials are extracted via OCR and organized automatically.

Forecast assumptions are suggested based on industry data.

Scenario-based DCF models are generated in minutes.

You spend your time refining assumptions and crafting the investment story.

This is what the future of financial modeling looks like—and why upskilling is critical.

Final Thoughts: Evolve or Be Left Behind

AI isn’t the end of financial modeling—it’s the beginning of a new era. In this future, the best investment bankers are not just Excel wizards—they’re strategic thinkers, storytellers, and tech-powered analysts.

By embracing this change and mastering modern modeling skills, you can future-proof your finance career.

And if you're serious about making that leap, enrolling in an investment banking course in Chennai can provide the training, exposure, and credibility to help you rise in the AI age.

[gvtacademy]

Career Boost 2025: Why Recruiters Love Data Analysts Who Know VBA and AI

In today's data-driven economy, companies are constantly searching for professionals who can turn raw information into meaningful insights — and do it quickly. But there's a secret weapon that makes candidates stand out: a powerful combination of VBA (Visual Basic for Applications) and Artificial Intelligence (AI).

At GVT Academy, we understand the market’s pulse. That’s why we’ve designed the Best Data Analyst Course with VBA using AI in Noida, tailored to meet real-world industry needs. But why exactly are recruiters so eager to hire analysts with these skills? Let’s break it down.

Why VBA Still Matters in 2025

Despite the surge in new technologies, VBA remains an essential tool in the data analyst’s toolkit. It enables professionals to automate Excel tasks, clean data efficiently, and build custom functions — all without needing to jump to heavier platforms.

Companies still rely heavily on Excel for their day-to-day operations. Automating reports, dashboards, or reconciliation using VBA saves both time and human effort. Recruiters appreciate candidates who don’t just work harder, but work smarter.

The Rise of AI in Data Analytics

Now add AI to the mix. Artificial Intelligence helps analysts go beyond descriptive statistics and dive into predictive and prescriptive analytics. Machine learning, pattern recognition, and AI-driven forecasting give businesses a competitive edge — and they need professionals who can implement these strategies.

Recruiters today are actively searching for hybrid-skilled data analysts — those who understand the structure of traditional tools like Excel and VBA, while also navigating AI models and automation.

What the Job Market Says

According to recent LinkedIn and Naukri hiring trends:

Data Analyst roles demanding AI skills have seen a 40% rise in listings compared to the previous year.

Excel VBA continues to appear as a top preferred skill in mid-level analytics roles.

Companies offering higher salary packages look for candidates who can automate, analyze, and interpret data — all in one.

This clearly shows the industry’s need for professionals with both practical automation (VBA) and analytical intelligence (AI) skills.

How GVT Academy Prepares You for Success

Our Best Data Analyst Course with VBA using AI in Noida is crafted with one goal: to make you job-ready from day one.

Here’s what you’ll master:

Excel and VBA: Streamline your reports, develop macros, and enhance productivity with automated workflows.

AI Tools & Techniques: Learn Python basics, data visualization, and machine learning algorithms.

SQL & Power BI: Learn how to manage data with SQL and create interactive reports using Power BI to master both data analysis and visualization.

Real-World Projects: Work on capstone projects that simulate actual industry challenges.

Interview & Placement Prep: Get trained in resume building, mock interviews, and job portal strategies.

We go beyond theory — we prepare you to excel in interviews and impress recruiters.

Give Your Career a Boost in 2025

Whether you're a graduate, a professional switching careers, or someone looking to upskill, now is the best time to invest in your future.

The Best Data Analyst Course with VBA using AI in Noida at GVT Academy is your launchpad to exciting opportunities in data analytics. You’ll gain the skills recruiters want and the confidence to stand out in interviews.

Enroll Today — Seats Are Limited!

2025 is all about speed, automation, and intelligence. Companies don’t want just number crunchers. They want data analysts who can automate with VBA and think with AI.

Join GVT Academy and become one of them.

📞 Call us now or visit our official website to learn more about upcoming batches, course fees, and free demo sessions.

1. Google My Business: http://g.co/kgs/v3LrzxE

2. Website: https://gvtacademy.com

3. LinkedIn: www.linkedin.com/in/gvt-academy-48b916164

4. Facebook: https://www.facebook.com/gvtacademy

5. Instagram: https://www.instagram.com/gvtacademy/

6. X: https://x.com/GVTAcademy

7. Pinterest: https://in.pinterest.com/gvtacademy

8. Medium: https://medium.com/@gvtacademy

[careerthirstts]

Confused Between B.Tech and BBA? Here's How to Decide in 2025

In 2025, the higher education landscape in India is rapidly evolving, and students now face more choices than ever before. Among the most common dilemmas students face after completing Class 12 is choosing between B.Tech (Bachelor of Technology) and BBA (Bachelor of Business Administration). Both degrees offer promising careers, but the right choice depends on your interests, strengths, and long-term goals.

If you're a student in Noida or Greater Noida and searching for the best career counseling or admission guidance, you've come to the right place. In this comprehensive blog, we'll compare B.Tech and BBA to help you make an informed decision. We'll also explore the top BBA colleges in Noida, career counseling options in Greater Noida, and  B.Tech/BBA admission guidance in Noida.

Understanding the Courses: B.Tech vs. BBA

B.Tech (Bachelor of Technology)

Duration: 4 years

Focus: Engineering, technology, applied sciences

Popular Streams: Computer Science, Mechanical, Electrical, Civil, Electronics & Communication

Ideal For: Students with strong analytical and problem-solving skills who are interested in science and mathematics

BBA (Bachelor of Business Administration)

Duration: 3 years

Focus: Business management, finance, marketing, human resources

Ideal For: Students interested in business, management, communication, and leadership roles

Key Differences Between B.Tech and BBA

Feature

B.Tech

BBA

Duration

4 Years

3 Years

Focus Area

Engineering & Technology

Business & Management

Entrance Exams

JEE Main, CUET, State-level exams

CUET, University-level exams

Career Paths

Software Engineer, Data Analyst, Civil Engineer

Marketing Manager, HR Executive, Business Analyst

Future Scope

M.Tech, MBA, Research, Tech Startups

MBA, Entrepreneurship, Corporate Sector

Average Package (Freshers)

INR 3-10 LPA

INR 2-7 LPA

Choosing the Right Path: Questions to Ask Yourself

Are you good at Mathematics and Science?

Go for B.Tech if problem-solving, coding, or technical challenges excite you.

Do you enjoy organizing, leading, or working in teams?

BBA might be your calling if you're more inclined towards leadership and business roles.

What are your long-term goals?

If you want to work in the IT, manufacturing, or engineering industry, B.Tech is more suitable.

For corporate careers, management, or starting your own business, BBA is a better fit.

Do you want a degree with technical or managerial expertise?

B.Tech gives you in-depth technical knowledge.

BBA helps develop managerial and business skills.

Top BBA Colleges in Noida (2025)

If you're leaning toward a BBA and are based in or near Noida, consider these reputed colleges:

Amity University, Noida

Known for excellent infrastructure and placement support

Offers BBA with specializations like Finance, Marketing, International Business

Sharda University, Greater Noida

Industry-driven curriculum, experienced faculty

Campus life encourages innovation and leadership

Jaypee Business School, Noida

Renowned for corporate tie-ups and industry exposure

GL Bajaj Institute of Management and Research

Strong focus on industry integration and soft skills

Noida International University

Affordable fee structure and career-oriented programs

These BBA colleges in Noida offer diverse specializations, hands-on experience, and strong placement records.

B.Tech Admission Guidance in Noida – What You Need to Know

CareerThirst offers expert B.Tech admission guidance in Noida. Whether you’re targeting top engineering colleges or specialized programs, the process can feel overwhelming. Here's how we simplify it:

Exam Preparation: Support for JEE Main, CUET, and state entrance exams

College Shortlisting: Based on rank, budget, and preferences

Application Assistance: From document upload to form submission

Scholarship Support: Help identify eligible scholarships and apply on time

Admission Tracking: Real-time updates on counseling rounds and seat allotment

BBA vs. B.Tech: Career Opportunities

Career Paths After B.Tech

Software Developer

Civil Engineer

Data Scientist

Robotics Engineer

Embedded Systems Designer

Research Scientist

PSU or Government Engineer

Career Paths After BBA

Business Development Manager

HR Executive

Digital Marketing Manager

Financial Analyst

Entrepreneur

Sales and Marketing Executive

MBA aspirant

How Career Counseling Can Help in 2025

Choosing between BBA and B.Tech is a big decision, and it's okay to feel confused. This is where career counseling for students in India comes into play. Especially if you're based in Greater Noida, you can benefit from professional career counseling in Greater Noida offered by platforms like CareerThirst.

Benefits of Counseling:

Helps identify strengths, interests, and ideal career paths

Clarifies the pros and cons of each course based on individual aptitude

Offers psychometric tests for better career alignment

Guidance on exams, college admissions, and scholarship opportunities

What About BCA? An Alternate Option

Many students consider BCA (Bachelor of Computer Applications) as a blend between technical and business-oriented careers.

Highlights of BCA:

Duration: 3 years

Focus: Computer applications, programming, IT systems

Career Paths: Web Developer, Software Tester, IT Analyst, System Administrator

Higher Studies: MCA or MBA

If you're interested in tech but not hardcore engineering, BCA admission guidance in Noida can help you discover colleges offering strong IT-based programs.

Final Thoughts: B.Tech or BBA – What’s Best for You?

There's no one-size-fits-all answer. Both B.Tech and BBA open doors to successful careers. The key lies in understanding what excites you and where your strengths lie. Talk to mentors, attend webinars, and most importantly, get professional guidance before making a decision.

At CareerThirst, we offer personalized career counseling for students in India, expert-led B.Tech admission guidance in Noida, and up-to-date resources on BBA colleges in Noida. Whether you want to pursue BBA, B.Tech, or BCA, we’re here to guide you every step of the way.

FAQs

Q: Which has better scope – B.Tech or BBA? A: Both have great scope. B.Tech is best for those interested in technology, while BBA suits those inclined towards business management.

Q: Is BBA easier than B.Tech? A: Generally, yes. BBA is less technical and more theory-based compared to B.Tech.

Q: Can I switch to MBA after B.Tech? A: Yes, many B.Tech graduates pursue MBA to move into managerial roles.

Q: Which are the best BBA colleges in Noida? A: Amity University, Sharda University, Jaypee Business School, and GL Bajaj are top options.

Q: Where can I get B.Tech admission guidance in Noida? A: CareerThirst offers comprehensive B.Tech admission support in Noida.

Need Help Choosing the Right Path? Contact CareerThirst today for expert career counseling and admission guidance in Noida and Greater Noida. Let us help you turn your aspirations into reality.

📞 +91 8299251579 📧 info@careerthirst.com 🌐 www.careerthirst.com

[aust-lebanon]

Why Digital Advertising is the Future: Skills Every Communication Graduate Needs

In today’s hyper-connected world, digital advertising isn’t just a trend—it’s the future of communication. Whether you're scrolling through Instagram, watching a YouTube video, or reading an online article, chances are you're being engaged by some form of digital advertising. As traditional media makes way for digital-first strategies, there’s an urgent demand for creative professionals who understand how to connect brands with audiences in real, measurable ways.

That’s where AUST’s BA in Communication Arts – Digital Advertising Track comes in. This future-ready program is designed to prepare students not just to keep up with the digital age—but to lead it.

Why Study Digital Advertising?

Digital advertising is more than placing ads on social media. It’s about building brand stories, analyzing user behavior, understanding data, creating visual content, and executing strategic campaigns that deliver results. Brands today want more than just visibility—they want engagement, loyalty, and conversions.

Students in the Digital Advertising Track at AUST gain hands-on experience in:

Social Media Strategy: Learn how platforms like Instagram, TikTok, LinkedIn, and Facebook serve different marketing goals.

Content Creation: Develop multimedia content that is visually appealing and message-driven.

Analytics and Insights: Understand key performance metrics and how to optimize campaigns for better ROI.

Campaign Planning: From ideation to execution, manage full-scale advertising campaigns using industry-standard tools.

Digital Branding: Learn how to build and maintain a brand identity across online platforms.

A Curriculum That Bridges Theory and Practice

What makes AUST’s program unique is its perfect blend of academic theory and real-world application. Students are not just taught “what” digital advertising is, but “how” to do it—through workshops, projects, and collaborations with industry professionals.

The curriculum also evolves to meet changing digital trends. From influencer marketing to programmatic advertising, students graduate with a skill set that is relevant and immediately applicable in the job market.

Career Opportunities in Digital Advertising

Graduates from the Digital Advertising Track at AUST can pursue a wide range of careers in the communication and media industries. Potential roles include:

Digital Marketing Specialist

Content Strategist

Social Media Manager

Brand Strategist

SEO/SEM Analyst

Campaign Manager

Creative Director

These roles exist across various sectors—from advertising agencies and media houses to startups, tech companies, and multinational corporations.

Why AUST?

Choosing to study at the American University of Science & Technology (AUST) means gaining access to experienced faculty, state-of-the-art labs, and a vibrant learning community. The university emphasizes hands-on learning, innovation, and international exposure, ensuring that graduates are competitive not just locally, but globally.

Moreover, AUST’s commitment to academic excellence, industry partnerships, and career development support makes it one of Lebanon’s top choices for students interested in communication and media studies.

Final Thoughts

As the digital world continues to evolve, so does the need for creative, tech-savvy professionals who can navigate this space with confidence and strategy. AUST’s BA in Communication Arts – Digital Advertising Track In lebanon offers the tools, training, and inspiration you need to launch a successful career in this exciting field.

Whether you dream of working for a global brand, running your own agency, or becoming a social media strategist, your journey starts here.

[slacourses]

AI and Automation in Data Analyst: Why You Still Need an "Best Data Analyst Course" in 2025, 100% Job in MNC, Excel, VBA, SQL, Power BI, Tableau Projects, "Data Analyst Training Certification Course" in Delhi, 110097 - Free Alteryx, Python Data Science Certification, By SLA Consultants India,

AI and automation are dramatically reshaping the data analytics profession in 2025, but rather than making data analysts obsolete, these technologies are elevating the role and changing the essential skill set required for success. AI excels at automating repetitive tasks—such as data cleaning, basic reporting, and even some aspects of visualization—allowing analysts to focus on higher-value activities like interpreting results, influencing business strategy, and communicating insights to stakeholders. As AI-driven analytics platforms become standard in MNCs, the need for professionals who can bridge the gap between automated outputs and actionable business decisions is greater than ever.

Data Analyst Course in Delhi

Despite the speed and efficiency of AI, core technical skills remain non-negotiable for data analysts. Mastery of tools like Excel, VBA, SQL, Power BI, and Tableau continues to be in high demand, with these skills referenced in a significant share of job postings for 2025. Additionally, proficiency in advanced platforms such as Alteryx and programming languages like Python is increasingly valuable, enabling analysts to automate complex workflows and perform sophisticated analyses that go beyond what AI can do out-of-the-box. Real-world project experience—such as building dashboards, automating reports, and developing predictive models—remains a key differentiator for candidates seeking 100% job placement in top MNCs. Data Analyst Training Course in Delhi

This evolving landscape underscores the importance of enrolling in a Data Analyst Certification Course in Delhi especially those that blend foundational analytics training with exposure to AI and automation. For learners in Delhi’s 110097 area, the "Data Analyst Training Certification Course" by SLA Consultants India stands out for its comprehensive curriculum covering Excel, VBA, SQL, Power BI, Tableau, and free modules in Alteryx and Python for data science. The course emphasizes hands-on, project-based learning, ensuring students build a robust portfolio and develop the practical skills that employers value most. Moreover, strong placement support and interview preparation further increase the likelihood of securing high-paying roles in MNCs.

Data Analyst Training Course Modules Module 1 - Basic and Advanced Excel With Dashboard and Excel Analytics Module 2 - VBA / Macros - Automation Reporting, User Form and Dashboard Module 3 - SQL and MS Access - Data Manipulation, Queries, Scripts and Server Connection - MIS and Data Analytics Module 4 - MS Power BI | Tableau Both BI & Data Visualization Module 5 - Free Python Data Science | Alteryx/ R Programing Module 6 - Python Data Science and Machine Learning - 100% Free in Offer - by IIT/NIT Alumni Trainer

Ultimately, while AI and automation are transforming the data analytics field, they are also creating new opportunities for those who are adaptable, tech-savvy, and committed to continuous learning. Certification from a reputable institute like SLA Consultants India not only validates your technical expertise but also demonstrates your ability to leverage the latest tools and methodologies in a rapidly changing environment. By mastering both classic analytics tools and emerging AI-driven platforms, you can future-proof your career, secure 100% job placement in leading organizations, and play a pivotal role in shaping the data-driven strategies of tomorrow. For more details Call: +91-8700575874 or Email: hr@slaconsultantsindia.com

[swissmotehiring]

Why Experience Is the New Degree in Tech Hiring (And What to Do About It)

It wasn’t too long ago that a degree in computer science or engineering was your golden ticket into tech. But times have changed. The rise of automation, AI tools, remote-first hiring, and cost-cutting in Big Tech has shifted the hiring landscape. Today, a degree isn’t enough—it’s real-world experience that separates job seekers from hires.

If you’re a recent graduate, freelancer, or someone switching careers into tech, here’s the reality: Experience is the new currency.

In this blog, we’ll break down:

Why degrees don’t carry the same weight they used to

What counts as “experience” in today’s tech hiring market

How platforms like Swissmote can fast-track your entry into real-world projects

The exact steps to turn your skills into experience employers want to pay for

Let’s dive in.

🎓 Degrees No Longer Guarantee Jobs—Here’s Why

In a saturated job market, a degree is now a baseline, not a standout. Hiring managers are no longer looking for academic excellence alone—they want to see proof that you can solve real problems.

Here’s why:

Entry-level roles are shrinking, especially after the pandemic

AI tools can now perform basic developer tasks

Hiring teams are leaner, with no time for lengthy onboarding

Global hiring pools mean more competition for fewer roles

Translation: A piece of paper doesn’t prove you can code, collaborate, or ship products. But a portfolio or project does.

💼 What Counts as “Experience” in 2025?

The definition of experience has evolved. You no longer need years in a corporate job to prove your value. In fact, companies now look at:

Freelance gigs

Open-source contributions

Internships (paid or unpaid)

Startup involvement

Personal or side projects

Hackathon participation

Client projects from platforms like Swissmote

What matters is proof of execution. If you’ve shipped a web app, optimized a UI/UX design, or deployed an AI model—even outside a company—you’re building experience.

Need a place to get started? Swissmote connects skilled candidates with high-growth startups and SMEs looking to hire software engineers, freelancers, and product managers ready to hit the ground running.

🔍 The Shift in Tech Hiring Standards

Today’s job descriptions are a paradox. Roles labeled “entry-level” now ask for:

2–3 years of experience

A strong GitHub portfolio

Hands-on knowledge of real-world tools like Docker, AWS, or TensorFlow

Experience with AI, ML, or automation

This is frustrating—but not impossible to navigate. The real trick? Show that you can work independently, solve problems, and deliver value.

With Swissmote, you can find roles across specialties:

Hire Fullstack Developers

Hire Frontend Developers

Hire Data Analysts

Hire AI/ML Developers

These roles aren’t just jobs—they’re stepping stones to build experience fast.

🚀 Why Real-World Projects Beat Certifications

While certifications and bootcamps are useful, hands-on projects are what hiring managers love to see.

Let’s compare: ✅ You Have a Certificate✅ You Built a Working ProductShows theoretical knowledgeProves you can deliverGreat for entry into learningGreat for entry into jobsEveryone has oneFew build and launch projectsPassive learningActive problem-solving

[ckgupta07]

Data Analyst Interview Questions: A Comprehensive Guide

Preparing for an interview as a Data Analyst is difficult, given the broad skills needed. Technical skill, business knowledge, and problem-solving abilities are assessed by interviewers in a variety of ways. This guide will assist you in grasping the kind of questions that will be asked and how to answer them.

By mohammed hassan on Pixabay

General Data Analyst Interview Questions

These questions help interviewers assess your understanding of the role and your basic approach to data analysis.

Can you describe what a Data Analyst does? A Data Analyst collects, processes, and analyzes data to help businesses make data-driven decisions and identify trends or patterns.

What are the key responsibilities of a Data Analyst? Responsibilities include data collection, data cleaning, exploratory data analysis, reporting insights, and collaborating with stakeholders.

What tools are you most familiar with? Say tools like Excel, SQL, Python, Tableau, Power BI, and describe how you have used them in past projects.

What types of data? Describe structured, semi-structured, and unstructured data using examples such as databases, JSON files, and pictures or videos.

Technical Data Analyst Interview Questions

Technical questions evaluate your tool knowledge, techniques, and your ability to manipulate and interpret data.

What is the difference between SQL's inner join and left join? The inner join gives only the common rows between tables, whereas a left join gives all rows of the left table as well as corresponding ones of the right.

How do you deal with missing data in a dataset? Methods are either removing rows, mean/median imputation, or forward-fill/backward-fill depending on context and proportion of missing data.

Can you describe normalization and why it's significant? Normalization minimizes data redundancy and enhances data integrity by structuring data effectively between relational tables.

What are some Python libraries that are frequently used for data analysis? Libraries consist of Pandas for data manipulation, NumPy for numerical computations, Matplotlib/Seaborn for data plotting, and SciPy for scientific computing.

How would you construct a query to discover duplicate values within a table? Use a GROUP BY clause with a HAVING COUNT(*) > 1 to find duplicate records according to one or more columns.

Behavioral and Situational Data Analyst Interview Questions

These assess your soft skills, work values, and how you deal with actual situations.

Describe an instance where you managed a challenging stakeholder. Describe how you actively listened, recognized their requirements, and provided insights that supported business objectives despite issues with communication.

Tell us about a project in which you needed to analyze large datasets. Describe how you broke the dataset down into manageable pieces, what tools you used, and what you learned from the analysis.

Read More....

[lifestagemanagement]

How to Become a Career Coach in India: A Complete Guide

Do you enjoy guiding students and professionals towards a meaningful career path? If the answer is yes, then becoming a career coach could be the perfect profession for you.

As a career coach, you play a pivotal role in helping individuals navigate their professional journey—from selecting the right career path to making informed decisions for long-term success.

Who Can Become a Career Coach?

One of the most common questions aspiring mentors ask is: How can I become a career coach? What qualifications do I need? Can I practice independently?

Step-by-Step: How to Become a Career Coach

The Certified Career Analyst (CCA) Program by Edumilestones is one of India’s most trusted and recognized certifications for aspiring career coaches. With over 14 years of credibility, this program trains individuals in global best practices and proven career guidance frameworks.

✅ Eligibility Criteria:

Any postgraduate professional with corporate experience

Professionals from domains like psychology, education, training, or HR

Anyone with a strong desire to help others make informed career choices

No matter your background, if you’re passionate about coaching and have strong communication and listening skills, this career path is open to you.

Can I Start My Own Career Coaching Practice?

Absolutely! In fact, over 60% of career coaches who complete the CCA program go on to launch their own independent practice.

Here are the 5 essentials to establish a successful career coaching business:

Domain Knowledge – Understanding career guidance tools and industry trends

Certification & Empanelment – A globally recognized credential builds trust

Initial Hand-Holding – Mentorship and guidance in the early stages

Technology Platform – Essential for assessments and career planning

Leads & Marketing Support – To grow and scale your practice

The Certified Career Analyst Program covers all of the above, providing a robust foundation for your coaching journey.

Why a Career Coaching Technology Platform Matters

To provide effective guidance, career coaches require access to advanced technology platforms, psychometric assessments, and data-driven analysis tools.

Edumilestones offers one of the most award-winning career guidance platforms in India. Recognized in 2022, 2023, and 2024 for excellence in technology, their platform helps coaches design personalized 20-year career plans using accurate assessments and insightful reporting.

With a network of 9000+ coaches across 45+ countries, Edumilestones is a global leader in career counselling technology.

What Qualities Do You Need to Succeed?

While qualifications matter, being a successful career coach also requires:

Passion for helping others

Strong listening and empathy skills

A growth mindset and willingness to keep learning

The ability to build trust and rapport with clients

Over the years, professionals from diverse industries have successfully transitioned into this fulfilling career path, making a real impact on people's lives.

Conclusion

Becoming a career coach in India is more than just a profession—it’s a purpose-driven journey. With the right training, tools, and mentorship, you can transform lives and build a thriving practice.If you're ready to take the leap, the Certified Career Analyst Program by Edumilestones can equip you with everything you need to succeed.

[lakshmisssit]

Data Scientist vs Data Analyst vs ML Engineer: What’s the Difference?

As the demand for data professionals continues to rise, many aspiring tech enthusiasts are exploring career paths like Data Scientist, Data Analyst, and Machine Learning (ML) Engineer. While these roles may seem similar, each one has its own focus and required skill set. If you're planning to enter the data field and looking for the best data science training in KPHB, it's important to understand the differences between these roles to make an informed decision.

Who is a Data Scientist?

A Data Scientist is often considered the "problem-solver" in a data team. They use advanced techniques in statistics, programming, and machine learning to analyze large volumes of data and extract actionable insights. Data Scientists build predictive models, identify patterns, and help organizations make data-driven decisions. They frequently use tools like Python, R, SQL, and machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch.

What Does a Data Analyst Do?

A Data Analyst plays a crucial role in analyzing and visualizing data to help stakeholders make informed decisions. Unlike Data Scientists, they focus more on historical data to identify trends and patterns. Their responsibilities include creating dashboards, generating reports, and using tools like Excel, Power BI, Tableau, and SQL. While their work may not involve heavy machine learning, it's essential for strategic planning and business intelligence.

Role of a Machine Learning Engineer

In the field of machine learning, a machine learning engineer connects data science with software development.Their main task is to take machine learning models created by Data Scientists and turn them into scalable, deployable systems. They write efficient code, optimize algorithms, and work with APIs, cloud platforms, and DevOps tools. Strong programming skills in Python, Java, or C++, along with knowledge of deployment tools like Docker or Kubernetes, are often required.

Key Differences

Data analysts interpret and report existing data, while all three roles work with data.

Data Scientists build models and generate predictive insights.Analyzing data and building models is the responsibility of Data Scientists.

Engineers who work on machine learning systems deploy and maintain them.

Conclusion

Choosing between these roles depends on your interests—whether it's analyzing data, building models, or creating production-ready systems. To gain the skills needed for any of these careers, enroll at SSSIT Computer Education, where expert-led, hands-on training can help you succeed in the dynamic world of data science.

[nikhilvaidyahrc]

The Most Underrated Tech Careers No One Talks About (But Pay Well)

Published by Prism HRC – Leading IT Recruitment Agency in Mumbai

Let’s be real. When people say “tech job,” most of us instantly think of software developers, data scientists, or full-stack engineers.

But here's the thing tech is way deeper than just coding roles.

There’s a whole world of underrated, lesser-known tech careers that are not only in high demand in 2025 but also pay surprisingly well, sometimes even more than the jobs people brag about on LinkedIn.

Whether you’re tired of following the herd or just want to explore offbeat (but profitable) options, this is your roadmap to smart career choices that don’t get the spotlight — but should.

1. Technical Writer

Love explaining things clearly? Got a thing for structure and detail? You might be sitting on one of the most overlooked goldmines in tech.

What they do: Break down complex software, tools, and systems into user-friendly documentation, manuals, tutorials, and guides.

Why it’s underrated: People underestimate writing. But companies are paying top dollar to folks who can explain their tech to customers and teams.

Skills:

Writing clarity

Markdown, GitHub, API basics

Tools like Notion, Confluence, and Snagit

Average Salary: ₹8–18 LPA (mid-level, India)

2. DevOps Engineer

Everyone talks about developers, but DevOps folks are the ones who actually make sure your code runs smoothly from deployment to scaling.

What they do: Bridge the gap between development and operations. Automate, monitor, and manage infrastructure.

Why it’s underrated: It’s not flashy, but this is what keeps systems alive. DevOps engineers are like the emergency room doctors of tech.

Skills:

Docker, Jenkins, Kubernetes

Cloud platforms (AWS, Azure, GCP)

CI/CD pipelines

Average Salary: ₹10–25 LPA

3. UI/UX Researcher

Designers get the spotlight, but researchers are the ones shaping how digital products actually work for people.

What they do: Conduct usability tests, analyze user behavior, and help design teams create better products.

Why it’s underrated: It's not about drawing buttons. It's about knowing how users think, and companies pay big for those insights.

Skills:

Research methods

Figma, heatmaps, analytics tools

Empathy and communication

Average Salary: ₹7–18 LPA

4. Site Reliability Engineer (SRE)

A hybrid of developer and operations wizard. SREs keep systems reliable, scalable, and disaster-proof.

What they do: Design fail-safe systems, ensure uptime, and prepare for worst-case tech scenarios.

Why it’s underrated: It’s a high-responsibility, high-reward role. Most people don’t realize how crucial this is until something crashes.

Skills:

Monitoring (Prometheus, Grafana)

Cloud & infrastructure knowledge

Scripting (Shell, Python)

Average Salary: ₹15–30 LPA

5. Product Analyst

If you're analytical but not super into coding, this role is the perfect balance of tech, data, and strategy.

What they do: Track user behavior, generate insights, and help product teams make smarter decisions.

Why it’s underrated: People don’t realize how data-driven product decisions are. Analysts who can turn numbers into narratives are game-changers.

Skills:

SQL, Excel, Python (basics)

A/B testing

Tools like Mixpanel, Amplitude, GA4

Average Salary: ₹8–20 LPA

6. Cloud Solutions Architect (Entry-Mid Level)

Everyone knows cloud is booming, but few realize how many roles exist that don’t involve hardcore backend coding.

What they do: Design and implement cloud-based solutions for companies across industries.

Why it’s underrated: People assume you need 10+ years of experience. You don’t. Get certified and build projects you’re in.

Skills:

AWS, Azure, or GCP

Virtualization, network design

Architecture mindset

Average Salary: ₹12–22 LPA (entry to mid-level)

Prism HRC’s Take

At Prism HRC, we’ve seen candidates with these lesser-known skills land incredible offers, often outpacing their peers who went the “mainstream” route.

In fact, hiring managers now ask us for “hybrid profiles” who can write documentation and automate deployment or those who blend design sense with behavioral insight.

Your edge in 2025 isn’t just what you know; it’s knowing where to look.

Before you go

If you’re tired of chasing the same roles as everyone else or feel stuck trying to “become a developer,” it’s time to zoom out.

These underrated careers are less crowded, more in demand, and often more stable.

Start learning. Build a project. Apply smartly. And if you need guidance?

Prism HRC is here to help you carve a unique path and own it. Based in Gorai-2, Borivali West, Mumbai Website: www.prismhrc.com Instagram: @jobssimplified LinkedIn: Prism HRC