#data analytics in delhi

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Are you looking for Data Analytics Course in Delhi?

Discover top-notch Data Analytics courses in Delhi NCR designed to boost your career. Enroll now to gain hands-on experience with industry-leading tools and techniques from expert instructors. To know more visit our website.

[seenivasan]

Four Types of Data Analytics | IABAC

The four types of data analytics are Descriptive (what happened), Diagnostic (why it happened), Predictive (what might happen), and Prescriptive (what to do next). These help businesses analyze past data, find patterns, make forecasts, and take data-driven actions effectively. https://iabac.org/blog/types-of-data-analytics-in-data-science-and-its-applications

[dataly-data-science]

[summertrainingatcetpa]

CETPA Summer Training: Gain the Skills You Need to Excel in Your Career

CETPA's Summer Training program is designed to help you gain the skills you need to excel in your career. Whether you're an engineering student, a business student, or a recent graduate, CETPA's program can help you develop the skills you need to land your dream job.

Summer Training in Noida at CETPA covers a wide range of topics, including:

JAVA

Python

Machine Learning

Data Science

Data Analytics

Web Development

much more.

We also offer a variety of hands-on projects and case studies, so you can put your skills to the test and gain real-world experience.

In addition to the technical skills, our program also helps you develop soft skills, such as communication, teamwork, and problem-solving. These skills are essential for success in any career.

CETPA's Summer Training in Noida is taught by experienced industry professionals who are passionate about teaching. They will help you master the skills you need to succeed in your career.

If you're looking for a Summer Training in Noida that will help you gain the skills you need to excel in your career, CETPA Infotech is the perfect choice for you.

Benefits of attending CETPA's Summer Training :

Gain the skills you need to excel in your career

Get ahead of the competition

Network with industry professionals

Learn from experienced industry professionals

Gain real-world experience

Develop soft skills

For more information:

Visit:https://www.cetpainfotech.com/summer-training

Contact:+91-9212172602

[govind-singh]

Launch Your Career with the Best Data Analyst Course in Delhi & Gurgaon

In a world driven by data, organizations across all industries are looking for professionals who can make sense of numbers and uncover insights that lead to smart decisions. That’s exactly where data analysts come in — and why skilled data analysts are in huge demand today.

If you're based in Delhi NCR and are ready to start or upgrade your career in data analytics, then choosing the right course is your first step. In this blog, we’ll walk you through the best data analyst course in Delhi and highly rated options for a data analyst course in Gurgaon, including key features, benefits, and how to choose the ideal course for your goals.

Why Choose a Career in Data Analytics?

Let’s start with the obvious question — why data analytics?

Massive Demand: From tech giants to startups, every business needs data-driven insights.

High-Paying Jobs: Entry-level data analysts can earn ₹4-6 LPA, while experienced analysts easily cross ₹10+ LPA.

Endless Opportunities: You can work in finance, healthcare, marketing, retail, logistics, and more.

Career Growth: This field offers clear upward mobility into roles like Business Analyst, Data Scientist, or Analytics Manager.

What Makes a Good Data Analyst Course?

Before choosing a course, make sure it checks all these boxes:

✅ Hands-on Training with real-time projects and case studies ✅ Expert Faculty with industry experience ✅ Industry Tools like Excel, SQL, Python, Tableau, Power BI ✅ Placement Assistance and resume building support ✅ Certifications recognized by employers

Best Data Analyst Course in Delhi

Delhi offers a wide range of institutes offering data analytics training, but not all of them offer job-oriented, up-to-date content. Here are the top picks:

1. TechStack Academy – Advanced Data Analytics Course

Duration: 6 Months

Mode: Classroom + Online

Tools Covered: Excel, SQL, Python, Power BI, Tableau

Projects: 10+ Live Projects & Capstone Project

Internship: Yes

Placement Support: 100% Assistance

Located in Saket, TechStack is a go-to choice for freshers and working professionals looking for a strong foundation and hands-on learning.

2. Digital Vidya – Certified Data Analytics Course

Mode: Instructor-Led Online

Features:

Joint certification with NASSCOM

Mentorship from analytics experts

Weekend classes available

Best For: Professionals wanting flexibility and industry-aligned training

Top Data Analyst Course in Gurgaon

Gurgaon, being home to major corporates and startups, offers excellent training opportunities. Here are the best courses to consider:

1. AnalytixLabs – Data Analytics Course

Location: Sector 18, Gurgaon

Duration: 5-6 Months

Tools Taught: R, Python, SQL, Tableau

USP: Founded by IIT and IIM alumni

Career Support: Resume review, interview training, job referrals

AnalytixLabs has a strong placement track record and is known for building job-ready skills.

2. IMS Proschool – Business Analytics Program

Mode: Offline (Gurgaon Centre) + Online Hybrid

Features:

Training on Excel, R, Python, SQL

Certification from NSE Academy

Guidance from industry professionals

Perfect for beginners aiming for structured learning with national-level certification.

Final Thoughts

Whether you're a graduate, IT professional, or someone planning a career switch — data analytics can be your gateway to success. Both Delhi and Gurgaon offer top-rated courses that cover everything from basic tools to advanced analytics.

Tip: Always compare curriculum, faculty, tools, reviews, and placement support before enrolling. And if you can, opt for a course that includes internship opportunities — it adds major value to your resume.

Start your journey today — enroll in the best data analyst course in Delhi or Gurgaon and prepare for a future-proof, rewarding career in analytics.

[brillica-design]

What is Direct Lake Mode in Power BI? Pros and Cons

In the evolving landscape of data analytics, Microsoft Power BI continues to introduce innovative features to enhance performance and flexibility. One such advancement is Direct Lake Mode, a storage mode that bridges the gap between import mode and DirectQuery. Power BI can get data directly from a lakehouse or data lake without needing to import it or use the usual DirectQuery method.

This article explores what Direct Lake Mode is, its key benefits, limitations, and when to use it, helping you decide if it’s the right approach for your Power BI implementation.

What is Direct Lake Mode in Power BI?

[sumitkanth7]

Data Analytics Courses in Delhi NCR – NEW DELHI YMCA IMS

Advance your data skills with the data analytics courses in Delhi NCR at NEW DELHI YMCA IMS. This 6-month certification program covers Excel, Power Pivot, RDBMS, Python (NumPy, Pandas), data visualization with Matplotlib, and machine learning techniques. Designed for 12th pass students, the course offers practical, project-based learning to prepare you for roles in data analysis. Admissions are open for the upcoming batch; apply now to secure your spot.

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Analytics Shiksha’s data analytics training in Delhi is more than just a course—it’s a career-transforming experience. With a focus on practical learning, real-world business problems, and AI-powered skill tracking, we help you become a top data analyst in just 6 months.

[imarticuslearning-course]

Essential Data Science Tools to Master in 2025

Data science tools are the foundation of analytics, machine learning, and artificial intelligence of today. In 2025, data professionals and wannabe data scientists need to be aware of the best data science tools to excel in this competitive area. There are so many tools arising every year that it gets confusing to select the best ones. The following blog deconstructs the best data science course that every data enthusiast should enroll.

Why Learning Data Science Tools is Important

In today's data-rich environment, organisations lean on the insights gathered from large amounts of data when making decisions. In order to analyze, extract, process and visualize their data properly, you must have knowledge and experience with many tools for machine learning and analytics. Knowing the appropriate data analytics tools not only allows you to perform tasks more effectively; but also access to greater, higher-paying opportunities in tech.

Top Programming Languages in Data Science

Programming languages form the base of all data science operations. The most common debate? Python vs R in data science. Here's a simple comparison to help:

Python vs R in Data Science – What's Better?

Python and R both serve different purposes, but here’s a short overview:

Python

Easy to learn and versatile

Supports machine learning libraries like Scikit-learn, TensorFlow

Widely used for production-ready systems

R

Great for statistical analysis

Preferred for academic or research work

Has powerful packages like ggplot2 and caret

Most professionals prefer Python because of its vast ecosystem and community support, but R remains essential for deep statistical tasks.

Top Data Analytics Tools You Should Know

Analytics tools help you take unrefined data and convert it into actionable insights. They have an important role in business intelligence and proactively recognising trends. 

Before we jump into the list, here's why we care about them in business: they expedite data processing, improve reporting, and surface collaboration on projects with teams.

Popular Data Analytics Tools in 2025:

Tableau – Easy drag-and-drop dashboard creation

Power BI – Microsoft-backed tool with Excel integration

Excel – Still relevant with new data plug-ins and features

Looker – Google’s cloud analytics platform

Qlik Sense – AI-powered analytics platform

These tools offer powerful visualizations, real-time analytics, and support big data environments.

Best Tools for Data Science Projects

When handling end-to-end projects, you need tools that support data collection, cleaning, modelling, and deployment. Here are some essentials:

Understanding which tool to use at each stage can make your workflow smooth and productive.

Best Tools for Data Science Workflows:

Jupyter Notebook – Ideal for writing and testing code

Apache Spark – Handles massive datasets with ease

RapidMiner – Drag-and-drop platform for model building

Google Colab – Free cloud-based coding environment

VS Code – Lightweight IDE for data science scripting

These platforms support scripting, debugging, and model deployment—everything you need to execute a full data science pipeline.

Must-Know Tools for Machine Learning

Machine learning involves building algorithms that learn from data. So, you need tools that support experimentation, scalability, and automation.

The following tools for machine learning are essential in 2025 because they help create accurate models, automate feature engineering, and scale across large datasets.

Most Used Machine Learning Tools:

TensorFlow – Deep learning framework by Google

Scikit-learn – For traditional machine learning tasks

PyTorch – Popular among researchers and developers

Keras – Simplified interface for deep learning

H2O.ai – Open-source platform with AutoML features

These tools support neural networks, decision trees, clustering, and more.

Top AI Tools 2025 for Data Scientists

AI technologies are rapidly advancing and keeping up to date with the best AI tools of 2025 is essential to not fall behind. 

AI tools are advancing by 2025 to help automate workflows, creating synthetic data, and building smarter models of all kinds. Let's take a look at the most talked about tools.

Emerging AI Tools in 2025:

ChatGPT Plugins – AI-powered data interaction

DataRobot – End-to-end automated machine learning

Runway ML – Creative AI for media projects

Synthesia – AI video creation from text

Google AutoML – Automates AI model creation

These tools are reshaping how we build, test, and deploy AI models.

Choosing the Right Tools for You

Every data science project is different. Your choice of tools depends on the task, data size, budget, and skill level. So how do you choose?

Here’s a simple guide to picking the best tools for data science based on your use case:

Tool Selection Tips:

For beginners: Start with Excel, Tableau, and Python

For researchers: Use R, Jupyter, and Scikit-learn

For AI/ML engineers: Leverage TensorFlow, PyTorch, and Spark

For business analysts: Try Power BI, Looker, and Qlik

Choosing the right tools helps you finish projects faster and more accurately.

Conclusion

In today's data-driven society -knowing the right data science tools to use is vital. Whether you're evaluating trends, designing AI models, synthesizing reports - the right tools will enable you to work more efficiently. From different data analytics tools to the best AI tools 2025, this list has everything needed to get started. Discover, experiment, and grow with these incredible platforms and watch your career in data science blossom.

FAQs

1. What are some of the more commonly used tools for data science in 2025? 

Popular tools are Python, Tableau, TensorFlow, Power BI, and Jupyter Notebooks. These tools are used for analytics, modelling, and deployment.

2. Is Python or R better for data science? 

Python is preferable because of its flexibility and libraries; R is used primarily for statistics and research applications.

3. Can I use Excel for data science? 

Yes. Excel is still used commonly for elementary analysis, reporting, and as a stepping stone to a more advanced tool like Power BI.

4. What are the best tools for machine learning beginners?

Start with Scikit-learn, Keras, and Google Colab. They offer easy interfaces and great learning resources.

5. Are AI tools replacing data scientists?

No – AI tools assist with automation, but human insight & problem-solving are still crucial in the data science process.

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Unlock Your Future with the Top Data Analytics Program in Kochi – Join Techmindz

In today’s data-driven world, businesses are looking for professionals who can turn raw numbers into actionable insights. If you're eager to enter this high-demand field, enrolling in a Data Analytics Program in Kochi is your best starting point. Techmindz, based in the thriving IT hub of Infopark, offers a comprehensive and industry-aligned data analytics training course designed to help students and professionals become job-ready from day one.

🎯 Why Choose a Data Analytics Career?

Data analytics is no longer a buzzword—it’s a necessity. From finance and healthcare to marketing and retail, every industry relies on data-driven decisions. The demand for data analysts, data scientists, and business intelligence professionals has skyrocketed in recent years.

Key advantages of a data analytics career:

High-paying job opportunities

Applicable across multiple industries

Strong career growth and stability

Opportunities to work with cutting-edge technologies

📍 Why Techmindz is the Best Choice for a Data Analytics Program in Kochi

At Techmindz, we understand that success in the data analytics field requires a blend of technical expertise, practical experience, and industry exposure. Our program is thoughtfully designed to meet these expectations.

✔️ Program Highlights:

Structured Curriculum: Covers Python, SQL, Excel, Tableau, Power BI, and Machine Learning.

Industry-Relevant Projects: Learn through real-time case studies and datasets.

Expert Faculty: Trained instructors from top MNCs with hands-on experience.

Soft Skills & Interview Training: Resume writing, mock interviews, and communication workshops.

100% Placement Support: Connect with our hiring partners across Kerala and India.

🧠 What You Will Learn

Our Data Analytics Program in Kochi focuses on both the foundations and the advanced elements of analytics. You will gain skills in:

Data cleaning and preparation

Exploratory data analysis

Statistical analysis and hypothesis testing

Data visualization using tools like Tableau and Power BI

Building predictive models with Python and machine learning libraries

Communicating insights for business decision-making

👥 Who Should Enroll?

This program is ideal for:

Fresh graduates seeking to enter the analytics field

Working professionals looking to upskill or switch careers

Entrepreneurs wanting to leverage data for business decisions

Students with a background in IT, engineering, mathematics, or statistics

🌐 Why Kochi is the Right Place to Study Data Analytics

Kochi is fast becoming a technology and innovation hub in Kerala, with top companies and startups investing in data capabilities. Studying in Kochi not only provides quality education but also places you close to potential employers looking for analytics talent.

🏁 Take the First Step Toward a Data-Driven Career

The future belongs to those who can understand and act on data. Enrolling in Techmindz’s Data Analytics Program in Kochi gives you the tools, training, and support you need to thrive in this exciting field. Whether you're a student or a professional, this is your chance to become a data-driven decision maker.

📞 Get in Touch Today!

Contact Techmindz to know more about the course structure, fees, and batch schedules. Let your data analytics journey begin with the most trusted name in Kochi.

[eduacations-blog]

How to Start a Career in Data Analytics Without a Tech Background.

Let’s be honest—"data analytics" sounds like something only coders and spreadsheet wizards can do, right?

But here’s the truth: you don’t need to be a tech genius to start a career in data analytics. In fact, some of the best data analysts come from fields like marketing, finance, education, or even hospitality. What they all have in common? A curiosity to understand data and a willingness to learn.

This essay is for you if you've ever wondered, "I like solving problems, but I don't know where to start."

🧠 What Is Data Analytics, Really?

Think of data analytics as detective work with numbers. Businesses generate tons of data—sales numbers, website clicks, customer feedback—and they need someone to find the patterns, answer questions, and help them make better decisions.

A data analyst’s job is to: Collect and clean data Analyze trends Create reports and dashboards Help teams make smarter choices No complex coding needed to start—just clear thinking, basic tools, and some practice.

🌱 Step-by-Step Guide to Get Started Without a Tech Background

Start with the Mindset, Not the Tools First, believe this: you belong in data. Don’t let jargon intimidate you. You don’t need a computer science degree. What you do need is:

Curiosity Problem-solving skill A love for learning That’s your foundation.

Learn the Basics (One Step at a Time) Start small. You don’t need to jump into Python or SQL on Day 1.

Begin with:

Excel/Google Sheets – Learn formulas, pivot tables, basic charts.

Data literacy – Understand terms like KPI, metric, dashboard, etc.

Free courses – Try YouTube tutorials or beginner courses on platforms like Coursera, Udemy, or LinkedIn Learning.

📌 Tip: Try analyzing your own budget or workout data to practice.

Master Key Tools Slowly Once you’re comfortable, move on to the key tools data analysts use:

Tool Why Learn It? Excel Industry standard for data cleaning SQL Helps you pull data from databases Power BI / Tableau Used for creating visual reports and dashboards Python (optional) Helpful, but not required initially

Don’t try to learn everything at once—pick one and stick with it until you're comfortable.

Work on Real-Life Projects You don’t need a job to get experience. Use free datasets from sites like:

Kaggle.com Data.gov OurWorldinData.org

Start a project like: Analyzing COVID data in your region Creating a dashboard of your expenses Studying trends in Netflix shows or YouTube videos

Then write about your process on LinkedIn or Medium. It shows initiative and builds your portfolio.

Get Certified (Optional but Helpful) Certifications can give you a confidence boost and look great on a resume. Look into:

Google Data Analytics Certificate Microsoft Power BI Certification Coursera / Udemy beginner courses

They’re not required, but they help you stand out.

Apply for Entry-Level Roles (Even if You Don’t Tick Every Box) You don’t need to meet 100% of the job description to apply.

Look for roles like:

Junior Data Analyst Business Analyst Reporting Analyst Operations Analyst

Highlight your soft skills: communication, problem-solving, and attention to detail. Show how you’re learning the tools. That matters more than a perfect résumé.

💬 Real Talk: What Makes a Good Data Analyst (That Has Nothing to Do With Tech)? You ask “why” a lot

You enjoy making sense of chaos You’re patient with details You like telling stories with numbers Sound like you? Then you're already halfway there.

🎯 Final Words Starting a data analytics career without a tech background isn't just possible—it’s happening every day. With the right mindset, consistent effort, and a little curiosity, you can absolutely break in.

And remember: everyone was a beginner once.

If you’re ready to take the first step, our Data Analytics program at Ntech Global Solutions is built for career changers just like you. We teach you real-world skills, not just theory—so you can go from “I don’t know where to start” to “I got the job!”

[analyticstraininghub]

Best Data Analysis Courses Online [2025] | Learn, Practice & Get Placement

Surely, in this era where data is considered much more valuable than oil, data analytics must not be considered a hobby or niche skill; it must be considered a requisite for careers. Fresh graduates, current workers looking to upgrade, and even those wishing to pursue completely different careers may find that this comprehensive Master's in Data Analytics study-thorough training in the use of tools like Python, SQL, and Excel, providing them with greater visibility during applications in the competitive job market of 2025.

What is a Master’s in Data Analytics?

A Master's in Data Analytics is comprehensive training crafted for career advancement, with three primary goals for attaining expertise in:

·       Data wrangling and cleaning

·       Database querying and reporting

·       Data visualization and storytelling

·       Predictive analytics and basic machine learning

What Will You Learn? (Tools & Topics Breakdown)

1. Python for Data Analysis

·       Learn how to automate data collection, clean and preprocess datasets, and run basic statistical models.

·       Use libraries like Pandas, NumPy, Matplotlib, and Seaborn.

·       Build scripts to analyze large volumes of structured and unstructured data.

2. SQL for Data Querying

·       Master Structured Query Language (SQL) to access, manipulate, and retrieve data from relational databases.

·       Work with real-world databases like MySQL or PostgreSQL.

·       Learn advanced concepts like JOINS, Window Functions, Subqueries, and Data Aggregation.

 3. Advanced Excel for Data Crunching

·       Learn pivot tables, dashboards, VLOOKUP, INDEX-MATCH, macros, conditional formatting, and data validation.

·       Create visually appealing, dynamic dashboards for quick insights.

·       Use Excel as a lightweight BI tool.

 4. Power BI or Tableau for Data Visualization

·       Convert raw numbers into powerful visual insights using Power BI or Tableau.

·       Build interactive dashboards, KPIs, and geographical charts.

·       Use DAX and calculated fields to enhance your reports.

 5. Capstone Projects & Real-World Case Studies

·       Work on industry-focused projects: Sales forecasting, Customer segmentation, Financial analysis, etc.

·       Build your portfolio with 3-5 fully documented projects.

 6. Soft Skills + Career Readiness

Resume assistance and LinkedIn profile enhancement.

Mock interviews organized by domain experts.

Soft skills training for data-storied narrations and client presentations.

Any certification that counts toward your resume.

100% Placement Support: What Does That Mean?

Most premium online programs today come with dedicated placement support. This includes:

Resume Review & LinkedIn Optimization

Mock Interviews & Feedback

Job Referrals & Placement Drives

Career Counseling

Best Data Analytics Jobs in 2025 in Top Companies

These companies are always on the lookout for data-savvy professionals:

·       Google

·       Amazon

·       Flipkart

·       Deloitte

·       EY

·       Infosys

·       Accenture

·       Razorpay

·       Swiggy

·       HDFC, ICICI & other financial institutions and many more companies you can target

Why Choose Our Program in 2025?

Here's what sets our Master's in Data Analytics course apart:

Mentors with 8-15 years of industry experience

Project-based curriculum with real datasets

Certifications aligned with industry roles

Dedicated placement support until you're hired

Access from anywhere - Flexible for working professionals

Live doubt-solving, peer networking & community support

[brillica-design]

Explore the Best Data Analytics Training in Delhi and get the skills to transform raw data into valuable insights that drive decision-making across industries. Whether you’re starting your career or looking to upskill, our comprehensive Data Analytics certification program is designed to make you an industry-ready data expert.