Data Analytics
Learn Statistics, Excel, SQL, Python, and Data Visualisation for a Career in Data Analytics in 36 Live Sessions
- Certification on successful completion of the program.
- Live instructor-led sessions with real-time doubt solving and feedback.
- Complete data analytics training covering statistics, Excel, SQL, Python, and data visualisation tools in one structured program.
- Hands-on assignments and a final project to build a job-ready data analytics portfolio.
Select Mode:
Online
30 Days
June 15, 2026
₹5,999 (Inc. GST)
What you'll learn
- Understand the data analytics lifecycle, types of analytics, career paths, and the tools and technologies used across the industry.
- Apply core statistical concepts including mean, median, standard deviation, probability distributions, hypothesis testing, correlation, regression, and A/B testing to real data problems.
- Use advanced Excel features including Power Query, Power Pivot, pivot tables, VLOOKUP, and INDEX-MATCH for data cleaning, preparation, and analysis.
- Write SQL queries to extract, filter, join, and aggregate data from relational databases and apply window functions and CTEs for advanced data manipulation.
- Use Python with NumPy and Pandas to clean, manipulate, and preprocess datasets, work with APIs, perform web scraping, and handle CSV, Excel, and JSON files.
- Build compelling data visualisations using Matplotlib, Seaborn, and Plotly, and apply dashboard design principles and data storytelling techniques to communicate insights effectively.
Skills you'll gain
Tools








Live, Instructor-Led Training Across Every Module
Learn directly from an expert with live, interactive sessions - ask questions in real time and get instant feedback.
Complete Data Analytics Coverage in 30 Days
Master everything from statistics and SQL to Python, Excel, and data visualisation tools in one structured program.
Assignments and Final Project for Job-Ready Skills
Work on practical assignments and a final project to build real-world data analytics skills and a strong portfolio.


