#Dataanalyst

[scopethings-blog]

Scope Computers

🚀 Become a Data Science Expert – From Basics to Breakthroughs! Step into one of the most in-demand careers of the 21st century with our cutting-edge Data Science Course. Whether you're starting fresh or upskilling, this course is your gateway to mastering data analysis, machine learning, and AI-powered insights.

🔍 What You’ll Learn:

Programming with Python – from zero to hero

Data wrangling & visualization with Pandas, Matplotlib, and Seaborn

Machine Learning algorithms with Scikit-learn

Deep Learning with TensorFlow & Keras

Real-world projects & case studies from finance, healthcare, and e-commerce

Tools like Power BI, SQL, and more

🎯 Why This Course Stands Out: ✔ Beginner-friendly with step-by-step guidance ✔ Taught by experienced data scientists ✔ Project-based learning to build your portfolio ✔ Interview prep, resume building, and placement assistance ✔ Recognized certification upon completion

💼 Whether you aim to become a Data Analyst, Data Scientist, or AI Developer, this course equips you with the practical skills and confidence to succeed in today’s data-driven world.

✨ Start your journey today—no prior coding experience needed!

[womaneng]

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A post shared by Zeynep Küçük Woman Engineer (@woman.engineer)

ou can become a data analyst ⤵️📈📊💯 Here’s what you need to do: - believe in yourself - learn Excel -learn SQL - learn Tableau - build Portfolio - update Linkedin - optimize Resume - Use Network -apply for jobs That’s the way. . . .

[anandshivam2411]

What Drives Data Analyst Salaries? An In-Depth Analysis

Educational Background: Higher degrees (master's or Ph.D.) often lead to better salaries than a bachelor’s.

Experience Level: More years of experience typically result in higher compensation.

Industry: Analysts in finance, healthcare, and technology generally earn more than those in retail or education.

Location: Salaries vary by geographic area, with major cities typically offering higher pay.

Skills and Specializations: Proficiency in data visualization tools (like Tableau or Power BI), programming languages (Python, R), and machine learning boosts earning potential.

Certifications: Relevant certifications, including PMP certification and other project management certifications, can enhance salaries.

Company Size: Larger firms often provide better salaries and benefits.

Market Demand: Increased demand for data analysts typically drives up salaries.

In conclusion, several key factors influence data analyst salaries, including educational background, experience level, industry, geographic location, skills and specializations, certifications, company size, and market demand. By understanding these elements, aspiring data analysts can strategically focus on enhancing their qualifications and expertise to improve their earning potential.

[coursecorrect-fyi]

7 Best Data Analyst Courses That You Shouldn't Miss!

Hello learners,

We, at CourseCorrect have selected the best courses for becoming a Data Analyst.

Have a look at them in our latest blog here

[gradsireninc]

𝐃𝐞𝐦𝐲𝐬𝐭𝐢𝐟𝐲𝐢𝐧𝐠 𝐀𝐩𝐩𝐫𝐞𝐧𝐭𝐢𝐜𝐞𝐬𝐡𝐢𝐩𝐬: 𝐔𝐧𝐯𝐞𝐢𝐥𝐢𝐧𝐠 𝐭𝐡𝐞 𝐁𝐞𝐧𝐞𝐟𝐢𝐭𝐬 𝐨𝐟 𝐀𝐩𝐩𝐫𝐞𝐧𝐭𝐢𝐜𝐞𝐬𝐡𝐢𝐩𝐬

[tccicomputercoaching]

📊 Want to become a data analyst?

SQL is your superpower — and these 4 basic commands are where it starts:

1️⃣ SELECT → Choose the columns you want 2️⃣ WHERE → Filter results by condition 3️⃣ GROUP BY → Aggregate your data into categories 4️⃣ ORDER BY → Sort your results for clarity

📌 Whether you're studying or working with data, these commands are essential.

📍 From TCCI – Tririd Computer Coaching Institute | Bopal Ahmedabad 💡 Learn smart. Learn SQL. Build your tech future.

[examstdy001]

What Makes the C_SAC_2501 Exam Essential for Data Analysts?

The C_SAC_2501 exam validates your skills in SAP Analytics Cloud (SAC), a leading platform for data analytics, visualization, and predictive modeling. For data analysts, passing this certification proves your ability to work with real-time insights, dashboards, and data models using SAC tools. It enhances your credibility and opens doors to high-demand analytics roles. With businesses relying heavily on data-driven decisions, certified analysts in SAP Analytics Cloud are becoming vital. If you're serious about excelling in analytics and BI, the C_SAC_2501 certification is a strong asset in your career toolkit.

[pythonjobsupport]

How much a Data Analyst makes #DataAnalyst #career #salary

source

[ccourse]

The Job Description of a Data Analyst: Roles, Responsibilities, and Career Path

In today’s data-driven world, organizations across industries rely on data analysts to interpret complex datasets and extract meaningful insights. As businesses strive to make informed decisions, the demand for skilled data analysts continues to rise. 

This article explores the job description of a data analyst, key responsibilities, required skills, career growth opportunities, and how aspiring professionals in Malaysia can gain expertise through 360DigiTMG’s training programs. 

What is a Data Analyst? 

A data analyst is responsible for collecting, processing, and analyzing data to help organizations optimize their operations, improve decision-making, and drive business growth. They work with structured and unstructured data to identify trends, patterns, and insights that can influence company strategies. 

Industries Hiring Data Analysts 

Finance and Banking 

Healthcare and Pharmaceuticals 

E-commerce and Retail 

Marketing and Advertising 

Government and Public Services 

Telecommunications 

Manufacturing and Supply Chain 

Key Responsibilities of a Data Analyst 

The day-to-day duties of a data analyst vary depending on the industry and company. However, some common responsibilities include: 

1. Data Collection and Cleaning 

Gather raw data from multiple sources such as databases, surveys, and APIs. 

Ensure data accuracy by removing inconsistencies, duplicate entries, and missing values. 

Maintain data integrity for effective analysis. 

2. Data Analysis and Interpretation 

Utilize statistical methods and machine learning models to analyze large datasets. 

Identify patterns, trends, and correlations within the data. 

Provide actionable insights to help businesses improve decision-making. 

Click here to learn more about the: Data Analytics Course.

3. Data Visualization and Reporting 

Use Power BI, Tableau, or Excel to create visually appealing dashboards and reports. 

Present findings to stakeholders and senior management in a clear and understandable manner. 

Assist in data-driven storytelling for decision-makers. 

4. Business Strategy and Decision-Making 

Help companies understand customer behavior, market trends, and operational efficiencies. 

Support product development, marketing campaigns, and financial planning using data-driven insights. 

Make recommendations based on data analysis to improve business performance. 

5. Automation and Optimization 

Develop automated processes for data extraction and reporting. 

Improve efficiency by streamlining repetitive tasks through programming (Python, SQL, R). 

Optimize data management and storage solutions. 

Essential Skills for a Data Analyst 

To succeed as a data analyst, professionals need a combination of technical expertise and soft skills. 

1. Technical Skills 

Programming Languages: Proficiency in Python, R, and SQL for data manipulation. 

Data Visualization Tools: Experience with Power BI, Tableau, and Excel to create dashboards. 

Statistical Analysis: Knowledge of hypothesis testing, regression analysis, and data modeling. 

Database Management: Understanding of MySQL, PostgreSQL, and NoSQL databases. 

Big Data & Cloud Computing: Familiarity with Google Cloud, AWS, and Hadoop is a plus. 

2. Soft Skills 

Critical Thinking: Ability to derive meaningful insights from complex datasets. 

Problem-Solving: Identifying solutions based on data-driven evidence. 

Communication: Presenting data findings to non-technical stakeholders effectively. 

Attention to Detail: Ensuring data accuracy and consistency. 

Teamwork: Collaborating with data scientists, engineers, and business leaders. 

How to Become a Data Analyst in Malaysia 

Malaysia has seen rapid growth in digital transformation, making data analytics one of the most in-demand fields. If you are an aspiring data analyst, follow these steps to enter the profession: 

Step 1: Get the Right Education 

A degree in data science, computer science, statistics, or business analytics is beneficial. 

If you have a non-technical background, consider enrolling in a professional data analytics certification course. 

Step 2: Learn Essential Tools and Technologies 

Gain hands-on experience in SQL, Python, Power BI, and Excel. 

Work on real-world datasets and case studies to improve practical skills. 

Step 3: Work on Practical Projects 

Participate in Kaggle competitions, GitHub projects, and internships. 

Create a portfolio showcasing data analysis and visualization projects. 

Step 4: Earn an Industry-Recognized Certification 

Certifications improve employability and provide industry-recognized validation of skills. 

360DigiTMG Malaysia offers specialized data analytics training programs covering data visualization, machine learning, and SQL. 

Step 5: Apply for Data Analyst Roles 

Build a strong resume highlighting technical skills, certifications, and projects. 

Apply for entry-level data analyst jobs in Malaysia’s top industries. 

Career Growth and Future Opportunities 

A career as a data analyst can lead to higher-level roles in data science and business intelligence. 

Career Path for Data Analysts 

Junior Data Analyst – Entry-level position focused on data cleaning and basic reporting. 

Data Analyst – Works on advanced analytics, visualization, and business reporting. 

Senior Data Analyst – Leads analytics projects, mentors junior analysts. 

Business Intelligence Analyst – Focuses on strategic data insights for business decisions. 

Data Scientist – Uses machine learning and AI for predictive analytics. 

Data Engineer – Specializes in data infrastructure, pipelines, and storage. 

Chief Data Officer (CDO) – Oversees company-wide data strategy. 

With continuous learning and industry experience, data analysts can transition into higher-paying, specialized roles in the data field. 

Future of Data Analytics in Malaysia 

The future of data analytics in Malaysia looks promising, with businesses increasingly adopting AI, machine learning, and big data technologies. Companies are investing in data-driven decision-making, making data analysts one of the most sought-after professionals. 

Government initiatives, such as MyDigital and the National Fourth Industrial Revolution (4IR) Policy, are further accelerating the demand for skilled data professionals. By upgrading their skills through 360DigiTMG Malaysia, aspiring data analysts can secure opportunities in top multinational companies, financial institutions, and tech firms. 

Why Choose 360DigiTMG for Data Analytics Training in Malaysia? 

For those looking to enter the data analytics field in Malaysia, 360DigiTMG offers comprehensive, industry-oriented training programs. 

Key Features of 360DigiTMG’s Data Analytics Course 

Hands-On Training – Practical exposure to real-world datasets and case studies. 

Expert Mentors – Learn from industry professionals with years of experience. 

Global Certifications – Recognized by top organizations worldwide. 

Placement Assistance – Career support, resume building, and interview preparation. 

Flexible Learning Options – Online and classroom training available. 

By enrolling in 360DigiTMG’s data analytics course, students in Malaysia can gain the necessary skills and practical knowledge to secure high-paying jobs in data analytics. 

Navigate To:

Name: 360DigiTMG — Data Science, IR 4.0, AI, Machine Learning Training in Malaysia

Address: Level 16, 1 Sentral, Jalan Stesen Sentral 5, Kuala Lumpur Sentral, 50470 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Phone: +60 19–383 1378

[pangaeax]

Infographic - Freelance Data Analyst vs. Data Scientist Who Delivers Better ROI?

Thinking about hiring a freelance data expert?

Before you pick between a Data Analyst and a Data Scientist, you should really ask:

Who gives you more ROI for the project you’re working on?

Dashboards vs. predictions. Speed vs. complexity. $5K vs. $50K pipelines. Here’s a visual comparison to help you decide wisely 👇

TL;DR:

Analysts = great for fast, visual insights and tight budgets

Scientists = great for complex ML models and predictive workflows

Right choice = more ROI, fewer delays, and less burn

Best Use Cases:

Hire a Freelance Data Analyst if:

You need dashboards, reports, or cleaned-data insights

Your budget is under $5,000

You want something shipped this week

Hire a Data Scientist if:

You're building ML systems or predictive engines

You’ve already got structured data pipelines

You’re looking to automate, not just analyze

Need Help Finding the Right One?

Check out Pangaea X — the only platform just for Data Analytics & AI freelancers.

[innozantsblog]

Hiring Trends 2025

[shivam1605]

Khushi Sachdeva’s Inspiring Journey: From BBA to Data Analyst at IndiGo

Khushi Sachdeva, a driven and ambitious professional with a background in Business Administration (BBA), always believed that the future belonged to those who could interpret data and turn it into actionable insights.

With a strong desire to pivot into the world of data analytics, Khushi enrolled in the Postgraduate Program in Data Science and Analytics at Imarticus Learning. The program provided her with hands-on training, real-world case studies, and the industry exposure she needed to bridge the gap between business acumen and technical expertise.

Fueled by determination and equipped with the right skills, Khushi made a successful transition and now works as a Data Analyst at IndiGo, one of India’s leading airlines. Her journey is a true example of how upskilling and perseverance can transform dreams into reality.

[gradsireninc]

𝐀 𝐠𝐫𝐞𝐚𝐭 𝐜𝐡𝐚𝐧𝐜𝐞 𝐭𝐨 𝐚𝐜𝐤𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐭𝐡𝐞 𝐬𝐢𝐠𝐧𝐢𝐟𝐢𝐜𝐚𝐧𝐜𝐞 𝐨𝐟 𝐚𝐩𝐩𝐫𝐞𝐧𝐭𝐢𝐜𝐞𝐬𝐡𝐢𝐩𝐬 𝐢𝐧 𝐟𝐨𝐫𝐦𝐢𝐧𝐠 𝐭𝐡𝐞 𝐰𝐨𝐫𝐤𝐟𝐨𝐫𝐜𝐞 𝐨𝐟 𝐭𝐡𝐞 𝐟𝐮𝐭𝐮𝐫𝐞 𝐢𝐬 𝐝𝐮𝐫𝐢𝐧𝐠 𝐍𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐩𝐩𝐫𝐞𝐧𝐭𝐢𝐜𝐞𝐬𝐡𝐢𝐩 𝐖𝐞𝐞𝐤.

[govind-singh]

Join the Best Data Analyst Course in Delhi & Gurgaon – Start Your Career in Data Today!

Looking to build a career in data analytics? Enroll in the best data analyst course in Delhi or data analyst course in Gurgaon and master the skills that top companies demand! Get hands-on training, real-world projects, expert mentorship, and a job-ready certification. Whether you're a fresher or a working professional, this course is your gateway to a rewarding career in analytics.

[icedq-toranainc]

iceDQ Training: Learn ETL Testing and Data Governance

Manual testing won’t cut it in today’s high-volume data environments. The Introduction to iceDQ v1.0 course introduces you to a smarter way to manage quality across your entire data stack.

What’s inside the course:

🧠 Deep dive into the logic of rule creation

🔄 Understand execution and test cycles

📊 Learn to audit BI dashboards and warehouse data

🛠️ Discover scalable data QA strategies

Ideal for:

QA professionals tired of writing SQL scripts for validation

Analysts needing reliable reporting

Developers building ETL pipelines

Businesses requiring continuous data monitoring

Top skills you’ll gain:

Automated data validation

Data observability implementation

Data governance fundamentals

📚 Let automation handle your data quality. Start the Introduction to iceDQ v1.0 Course today and streamline your testing.