Master Data Analytics in 8 Weeks

Transform raw data into business insights with our comprehensive, project-based program

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Practical Learning

Hands-on projects with real datasets from various industries

👨‍💻

Expert Mentors

Learn from industry professionals with 5+ years experience

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Job-Focused

Curriculum designed to make you interview-ready

CURRICULUM

What You'll Learn

Week 1

Introduction to Data Analytics & Excel

  • •What is Data Analytics? Real-life use-cases
  • •Types of Data Analytics: Descriptive, Diagnostic, Predictive
  • •Introduction to Excel
  • •Data cleaning techniques in Excel
  • •Common Excel functions: IF, COUNTIF, SUMIF, VLOOKUP/XLOOKUP
  • •Creating Pivot Tables and Charts
  • •Mini Project: "Sales Dashboard in Excel"
Week 2

Python Basics for Data Handling

  • •Setting up Python: Jupyter Notebook/Google Colab
  • •Basic Python syntax: variables, data types, lists, dictionaries
  • •Importing CSV/Excel files using pandas
  • •Introduction to DataFrames: viewing, filtering, sorting
  • •Handling missing data and duplicates
  • •Mini Project: "Netflix Watch History Analysis"
Week 3

Data Wrangling & EDA with Pandas

  • •Grouping, merging, and reshaping data in pandas
  • •Creating new columns, using lambda functions
  • •Descriptive statistics: mean, median, std, correlation
  • •Data visualization using matplotlib and seaborn
  • •Introduction to Exploratory Data Analysis (EDA)
  • •Mini Project: "Zomato Restaurant Ratings EDA"
Week 4

SQL for Data Analysis – Fundamentals

  • •Introduction to databases & RDBMS
  • •Writing SQL queries: SELECT, WHERE, ORDER BY
  • •Filtering and sorting records
  • •GROUP BY, HAVING, and aggregate functions
  • •Understanding INNER, LEFT, RIGHT JOINs
  • •Mini Project: "Customer Orders SQL Analysis"
Week 5

Advanced SQL + Python Integration

  • •Nested queries and Subqueries
  • •CTEs (WITH statements)
  • •Window functions: RANK, ROW_NUMBER, LAG, LEAD
  • •Connecting SQL with Python using sqlite3 or sqlalchemy
  • •Fetching and analyzing SQL data in pandas
  • •Mini Project: "Sales & Profit Trends (SQL + Python)"
Week 6

Power BI for Dashboarding

  • •Introduction to Power BI workspace
  • •Importing data from Excel and SQL
  • •Power Query Editor basics
  • •Creating visuals: bar, pie, line, maps, KPI cards
  • •Designing and publishing dashboards
  • •Mini Project: "HR Attrition Dashboard"
Week 7

Business Analytics Thinking

  • •Understanding KPIs and metrics
  • •Funnel and Cohort analysis
  • •Basics of A/B Testing
  • •Framing business questions from datasets
  • •Creating presentations with insights
  • •Mini Project: "Marketing Campaign Analysis"
Week 8

Capstone Project + Career Preparation

  • •Planning an end-to-end analytics project
  • •GitHub for portfolio hosting
  • •Resume building for Data Analyst jobs
  • •Interview prep: SQL queries, EDA walkthroughs, business case studies
  • •Capstone Project Options:
  • •→ E-commerce Product Sales Analysis
  • •→ Food Delivery Pattern Analysis
  • •→ Hospital Resource Utilization
  • •→ Retail Inventory & Forecasting
SUCCESS STORIES

What Our Students Say

AS
"This course transformed my career. Within 3 months of completing the program, I landed a job as a Junior Data Analyst. The hands-on projects were exactly what I needed in my portfolio."
- Akash Sharma
Data Analyst @ TechSolutions

Ready to Launch Your Data Career?

Join our next cohort and gain the skills that employers are looking for.

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