About This Course
This program is designed to turn beginners and working professionals into job-ready Data Analysts who can work confidently with real business data.
Prerequisites
- No prior coding or analytics background required
- Basic computer skills
- Willingness to learn step by step
What You'll Learn
Advanced Excel for data analysis and reporting
SQL for querying, joining, and optimizing databases
Power BI for dashboards, data modeling, and business reporting
Python for data analysis and automation
Problem-solving frameworks used by analysts and managers
AI tools to speed up analysis and productivity
Resume building, interview preparation, and personal branding
Real projects that match actual job roles
8 key skills covered
5-6 Months intensive training
100% Job-ready curriculum
Course Curriculum
8 modules • 56 lectures
01
Module 1: Advanced MS Excel for Data Analytics
10 lectures
Mathematical & logical formulas
Text, date & time functions
IF, AND, OR conditions
Lookup functions (VLOOKUP, HLOOKUP, INDEX, MATCH, OFFSET)
Pivot Tables & Slicers
Data cleaning & transformation
Conditional formatting
Charts & visualizations
Excel–SQL database connectivity
Dashboards & reports
02
Module 2: SQL for Data Analysis
10 lectures
RDBMS concepts
SQL commands (DDL, DML, DQL, TCL, DCL)
Filtering, sorting, grouping & aggregation
Joins (Inner, Left, Right, Full, Self, Cross)
Subqueries & CTEs
Window functions (ROW_NUMBER, RANK, LAG, LEAD, NTILE)
Views, indexes & stored procedures
Performance optimization
SQL automation & job monitoring
PostgreSQL exposure
03
Module 3: Power BI for Business Intelligence
11 lectures
Power BI Desktop & Service
Power Query for data cleaning
Data modeling (Star, Snowflake, Hybrid)
DAX formulas (20+ most used)
Filters & slicers
Advanced visualizations
Dashboard design & beautification
Row-Level & Object-Level Security
Power BI Service & publishing
Python integration
Gateways (On-Prem & Local)
04
Module 4: Python for Data Analytics (20 Days)
4 lectures
Python fundamentals
NumPy for numerical analysis
Pandas for data manipulation
Matplotlib for data visualization
05
Module 5: Problem-Solving Frameworks (5 Days)
7 lectures
Pareto Analysis
Six Sigma (LEAN basics)
SMART Framework
SWOT Analysis
NPS
Eisenhower Matrix
Performance & productivity models
06
Module 6: AI Tools for Analysts
5 lectures
ChatGPT
Google Gemini
Query writing
Analysis assistance
Explanation & documentation
07
Module 7: Personal Branding & Job Portals
3 lectures
LinkedIn profile optimization
Naukri profile setup
Recruiter-friendly positioning
08
Module 8: Interview Preparation & Placement Readiness
6 lectures
Resume building (ATS score 90+)
Resume vs CV clarity
Case studies for interviews
Technical, HR & managerial questions
Mock interviews
Interview checklists (Before / During / After)
Who Should Join This Course
Graduates from any background (Arts, Commerce, Science, Engineering)
Working professionals looking to switch into analytics roles
Excel or MIS professionals wanting career growth
IT and non-IT professionals moving into data-driven roles
Freshers preparing for Data Analyst jobs
Professionals aiming for reporting, BI, or analytics positions
No IT background? No problem – we start from basics!
Course Description
You won't just learn tools. You'll learn how data is used inside companies to answer questions, track performance, identify problems, and support decision-making.
From Excel and SQL to Power BI, Python, and AI tools — this course covers the entire analytics workflow: collecting data, cleaning it, analyzing it, visualizing it, and presenting insights in a way businesses understand.
By the end of the program, you'll be able to work on real datasets, build dashboards, write complex queries, automate analysis, and confidently face analytics interviews.