TRAINING + INTERNSHIP PROGRAM
Data Analytics
Unlock the power of data. Learn to clean, analyze, and visualize data to derive meaningful insights and make smarter business decisions using Excel, SQL, and Tableau.
4 MonthsDuration
5+Real-world Dashboards
100%Placement Assistance
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Tools You Will Master
Advanced Excel
SQL
Tableau
Power BI
Python
Pandas
NumPy
Looker Studio
Detailed Weekly Syllabus
- Introduction to Data Analytics.
- Advanced Excel: Formulas, Functions, and Data Cleaning.
- Creating Pivot Tables and Charts for Analysis.
- Introduction to Statistics for Analytics.
- Understanding Relational Databases.
- Writing Basic to Advanced SQL Queries (SELECT, JOINs).
- SQL for Data Analysis: Aggregations & Subqueries.
- Solving Business Problems with SQL.
- Introduction to Data Visualization with Tableau.
- Building Interactive Dashboards and Storytelling.
- Introduction to Microsoft Power BI.
- Creating Reports and using DAX basics in Power BI.
- Introduction to Python for Data Analytics.
- Data Manipulation with Pandas Library.
- Capstone Project using a real-world dataset.
- Career Prep, Portfolio Building, and Internship.
Learn From Industry Experts
Our trainers are industry professionals with 5 to 10+ years of experience. You will work under their guidance and get direct mentorship. If you have any doubts, you can connect with them anytime.
RN
Sayali Ghatge
Senior Data Analyst
SK
Sneha Kumari
Business Intelligence Lead
AM
Amit Mishra
Tableau & SQL Expert
Frequently Asked Questions
Do I need a technical background for this course?+
No! This course is perfect for beginners from any background (Commerce, Arts, Science). We start from the absolute basics of Excel and SQL.
Is Python mandatory for a Data Analyst role?+
While Excel, SQL, and a visualization tool like Tableau are the primary skills, knowing Python gives you a significant advantage. Our course covers the essentials of Python for data manipulation to make you a stronger candidate.
What job roles can I get after this course?+
You will be prepared for roles like Data Analyst, Business Analyst, Business Intelligence (BI) Analyst, and Marketing Analyst.