Data Analyst Program

Become a Data Analyst Workshop in Tamil

Join the Data Analyst workshop gain hands-on expertise in data collection, analysis, visualization, and reporting. Learn Excel, SQL, Python, and Power BI.

Limited Seats!

★★★★★

2,000+ Happy Students 😊

GR Network Data Analyst

For working professionals, career switchers & graduates

Attendance Options:
🎥 Online: Via ZOOM
📍 Offline: [Coimbatore]

Your Mentor

Gowtham Raj

Gowthamraj Network India Private Limited
Senior Software Engineer at F5 Networks India
Anna University CEG Campus Alumni

Who Can Attend This Workshop

This workshop is designed for anyone curious about **Data Analysis** and its applications.

Working Professionals

From IT or Non-IT backgrounds and Looking to switch careers or upskill for better job roles in data analysis

Career Switchers

People from non-tech fields (like Mechanical, Civil, BPO, Sales, etc.) who want to move into data-driven roles

Freshers & Recent Graduates

Those who have completed degrees (B.E, B.Tech, B.Sc, MCA, etc.) and want to become job-ready with practical data analysis skills

Business Owners & Managers

Who want to leverage data for better decision-making and business growth

College Students

Our programs can help you learn data analysis, providing practical skills and a significant advantage for your career after graduation.

Key Takeaways From Our Data Analyst Workshop

Understand Data Analysis Fundamentals

Learn what data analysis is, its critical importance, and how it's driving insights in today's data-rich world.

Career Clarity in Data

Understand the difference between roles like Data Analyst, Data Scientist, Business Analyst, and how to carve your path.

Essential Data Analysis Skills

Get a clear roadmap of the tools (Excel, SQL, Python, Power BI/Tableau) and statistical concepts you need for a data analyst career.

Industry Insights & Best Practices

Learn what top companies seek when hiring Data Analysts and understand real-world application of data analysis techniques.

Start Your Data Journey Easily

Discover how you can begin your data analysis journey even with zero prior experience – we teach from the basics!

Smooth Career Transition

Find out how professionals from non-technical backgrounds can seamlessly switch to rewarding Data Analyst roles.

Meet Your Mentor

Mr Premanand Sethurajan holding tablet wearing black shirt smiling engaging

Mr.Gowtham Raj

Founder Chairman CEO President and Director ;
Gowthamraj Network India Private Limited

Gowtham Raj Sir, an Anna University CEG Campus Alumni and Senior Software Engineer at F5 Networks India with over 7+ years of experience, is a seasoned expert in Data Analytics and software development. His passion for transforming raw data into actionable insights has been instrumental in the success of multiple projects.

In this workshop, GR will share his deep expertise and practical insights on how Data Analysis can revolutionize industries, streamline business processes, and open doors to exciting career opportunities. Learn directly from a visionary leader who has empowered countless professionals to launch and accelerate their tech careers.

FAQs:

How can I attend this workshop? +

You can attend the workshop online through the Zoom platform. The sessions are scheduled on Sundays as per the mentioned timetable.

Can students register for this workshop? +

Yes, students are welcome to register and gain valuable hands-on data analysis expertise through this workshop.

What do I need to attend the workshop? +

A stable internet connection, a computer or laptop, and a willingness to learn data analysis are essential.

I'm from a non-IT background. Can I still attend? +

This workshop is designed for all backgrounds, including non-IT professionals wanting to transition into data roles.

How do I register for this workshop? +

Click on the "Register Now" button above to proceed with the payment and secure your spot.

Can I share this workshop with my friends? +

Yes, feel free to inform your friends and colleagues who would benefit from this training.

1. Introduction to Data Analytics

What is Data Analytics?
Lifecycle of Data Analysis
Roles & Responsibilities of a Data Analyst
Career paths and industry use cases

2. Excel for Data Analysis

Basic to Advanced Excel Functions (VLOOKUP, INDEX/MATCH, etc.)
Pivot Tables and Charts
Data Cleaning and Validation
Excel Dashboards

3. Statistics & Probability

Descriptive Statistics: Mean, Median, Mode, Std. Dev.
Probability concepts
Distributions (Normal, Binomial, etc.)
Hypothesis Testing & Confidence Intervals

4. SQL for Data Analysis

Relational Databases Concepts
SELECT, WHERE, JOIN, GROUP BY, HAVING
Subqueries, CTEs, and Window Functions
Data Cleaning with SQL

5. Data Visualization Basics

Principles of effective data visualization
Introduction to tools: Tableau / Power BI
Creating bar charts, line charts, scatter plots, and maps

Data Analyst Course Level 2 Syllabus: Intermediate (Tooling + Applied Skills)

6. Python for Data Analysis

Python basics (data types, loops, functions)
Pandas for data manipulation
NumPy for numerical computation
Data Cleaning and Preprocessing
Exploratory Data Analysis (EDA) with Matplotlib and Seaborn

7. Data Wrangling & Transformation

Handling missing data and outliers
Feature engineering
Date and time manipulation
String manipulation

8. Databases & Big Data Introduction

Data warehousing concepts (OLAP vs OLTP)
Introduction to BigQuery, Snowflake, or Redshift
Basics of NoSQL (MongoDB)

9. Tableau / Power BI Advanced

Interactive dashboards
Calculated fields and Parameters
Data blending and joins
Dashboard optimization and storytelling

10. Capstone Project 1

Real-world dataset
End-to-end analysis using Excel, SQL, Python
Dashboard presentation

11. What are the prerequisites for Data Analysis course?

Basic understanding of mathematics and statistics.
Familiarity with Excel or spreadsheets is helpful.
No prior programming experience is required (unless specified).

12. What topics are covered in the course?

Introduction to Data Analysis
Data Cleaning and Preprocessing
Exploratory Data Analysis (EDA)
Statistical Analysis
Data Visualization
SQL for Data Analysis
Python/R for Data Analysis
Excel and Spreadsheets
Dashboarding (e.g., Power BI/Tableau)
Capstone Project

13. Which tools and software will I learn?

Excel/Google Sheets
SQL (MySQL, PostgreSQL, or similar)
Python (Pandas, NumPy, Matplotlib, Seaborn)
Power BI or Tableau
Jupyter Notebooks
Git/GitHub (optional)

14. How is the course structured?

Weekly modules with video lessons, readings, and quizzes.
Hands-on labs and mini-projects.
Final capstone project to apply all skills learned.

15. Is this course beginner-friendly?

Yes. It is designed for learners with little to no background in data analysis, though familiarity with basic computer operations is expected.

16. Will I get a certificate after completion?

Yes, a certificate of completion will be awarded if you successfully complete all course requirements and projects.

17. How much time do I need to commit per week?

On average, 5–8 hours per week, depending on your pace and familiarity with the material.

💼 Prerequisites for this Course:

Able to come to the offline classes (or) Access to Smart Phone / Computer

Dedication and confidence to clear any exam or Interview

Good Internet Speed (Wifi/3G/4G)

Good Quality Earphones / Speakers

Basic Understanding of English & Tamil