Data Analytics

Turn raw data into decisions. Learn to collect, clean, analyze, and visualize data using Excel, SQL, Python, and Power BI — the toolkit every modern analyst needs.

2–3 Months
All Levels Welcome
Real Business Datasets
Certificate Included
Course Overview
From Data to Decisions

Excel & Advanced Formulas

PivotTables, VLOOKUP, Power Query — go from spreadsheet basics to advanced data modeling in Excel.

SQL — Query Mastery

Joins, subqueries, CTEs, window functions — write queries that answer real business questions fast.

Power BI Dashboards

Build interactive, stunning dashboards that communicate insights to stakeholders at a glance.

Python for Analysis

Pandas and Matplotlib for data wrangling and visualization — automate analysis that takes hours in Excel.

Tools & Platforms
Your Analytics Toolkit
📊
Microsoft Excel

Advanced formulas, PivotTables, Power Query

🗄️
SQL (MySQL)

Querying, joins, aggregations, subqueries

📈
Power BI

DAX, interactive dashboards, reports

🐍
Python (Pandas)

Data wrangling, EDA, automation

📉
Tableau

Visual analytics and storytelling

☁️
Google Sheets

Collaboration, QUERY function, Apps Script

Module Breakdown
1
Excel for Data Analytics
7 Topics
  • Data Cleaning & Formatting Best Practices
  • Advanced Formulas: IF, VLOOKUP, INDEX-MATCH, XLOOKUP
  • PivotTables & PivotCharts
  • Conditional Formatting & Data Validation
  • Power Query: ETL in Excel
  • What-If Analysis & Solver
  • Project: Sales Performance Dashboard in Excel
2
SQL for Data Analysis
8 Topics
  • SELECT, WHERE, ORDER BY, GROUP BY
  • Joins: INNER, LEFT, RIGHT, FULL OUTER
  • Aggregate Functions & HAVING
  • Subqueries & Nested Queries
  • CTEs (Common Table Expressions)
  • Window Functions: RANK, ROW_NUMBER, LAG/LEAD
  • Stored Procedures & Views
  • Project: E-commerce Database Analysis
3
Power BI & Data Visualization
6 Topics
  • Power BI Desktop Interface & Data Import
  • Data Modeling & Relationships
  • DAX Formulas: Calculated Columns & Measures
  • Interactive Visuals: Charts, Maps, KPIs
  • Report Design Principles & Storytelling
  • Project: Business Intelligence Dashboard
4
Python for Analytics & Capstone
6 Topics
  • Pandas: Load, Clean, Transform Data
  • Exploratory Data Analysis (EDA)
  • Matplotlib & Seaborn Visualizations
  • Automating Repetitive Reports with Python
  • Introduction to Statistical Analysis
  • Capstone: End-to-End Analytics Project with Presentation
What You'll Be Able to Do
Analyze large datasets using SQL, Excel, and Python
Build compelling Power BI dashboards for any business
Write complex SQL queries including window functions and CTEs
Present data stories that influence business decisions
Clean and transform messy real-world data efficiently
Be job-ready as a Data Analyst or Business Analyst