Data Analyst
&
Data Science

A Data Analyst collects, cleans, and studies data to find useful patterns and trends.

A Data Scientist does all of that — and also uses advanced tools like machine learning and algorithms to predict future outcomes

DATA ANALYST

ChatGPT said:

A Data Analyst is a professional who collects, processes, and analyzes data to help businesses make informed decision

A Data Analyst is a professional who collects, organizes, and analyzes data to help companies make informed decisions. They turn raw numbers into meaningful insights by identifying trends, patterns, and problems. Data Analysts use tools like Excel, SQL, Python, and visualization software (such as Tableau or Power BI) to present data in clear and understandable ways.

DATA SCIENCE

Data Science is the field of using data to solve problems, find patterns, and make predictions using advanced tools and techniques.

Data Science is the field of extracting knowledge and insights from structured and unstructured data using scientific methods, algorithms, and advanced analytics. It combines programming, statistics, and machine learning to understand trends, make predictions, and support decision-making

89%

Innovations

Are you looking for trust who are ready to.

90%

Action Plans

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69%

Big Projects

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86%

Great Tests

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Ready to get started?

It's fast, free and very easy!

Why Learn Data Analytics?

  • Data Analysts are needed in every industry
  • High-paying career with strong job growth
  • Turn raw data into meaningful insights for businesses
  • No coding background required to star

Course Highlights:

  • Duration: 3 or 6 Months

  • 100% Practical + Theory

  • Live Projects & Case Studies

  • Tools: Excel, SQL, Python, Tableau / Power BI

  • Resume Building + Interview Preparation

4. What You’ll Learn:

ModuleTopics
📊 Excel for AnalysisPivot Tables, Formulas, Dashboard Creation
🗂️ SQL BasicsQueries, Joins, Subqueries
🐍 Python for DataPandas, NumPy, Data Cleaning
📈 VisualizationPower BI / Tableau, Dashboard Design
🧠 StatisticsBasic to Intermediate Concepts
📁 Projects

Real-Time Projects using Data Sets

. Who Should Join:

  • Students (Commerce, Science, Engineering)

  • Working Professionals & Job Seekers

  • Beginners interested in data & tech careers

6. Career Opportunities:

  • Data Analyst

  • Business Analyst

  • Junior Data Scientist

  • MIS Executive

  • Reporting Analyst

7. Student Reviews / Testimonials

“The best place to learn Data Analytics. I got placed after the course!” – Priya S.
“Loved the practical approach and job support!” – Kunal M.

8. Course Duration Options:

  • 3-Month Fast Track – Ideal for quick learners or job-ready professionals

  • 6-Month Advanced Course – In-depth with extra projects and tools

9. Why Choose Us:

  • Industry Expert Trainers

  • Small Batch Sizes

  • Placement Assistance

  • Weekend / Weekday Batches

10. Call to Action (Bottom):

  • WhatsApp Integration

  • Enquiry Form

  • Download Brochure

  • “Talk to Counselor” Button

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