Description

30-Day Data Analytics Full Course

From Scratch to Advanced with Hands-On Projects

Course Overview

Unlock the world of Data Analytics with our 30-day instructor-led program designed for beginners and aspiring professionals. This course takes you from the basics of Excel and SQL to advanced visualization tools like Tableau, Power BI, and Python for analytics. Through hands-on practice and real-world projects, you’ll gain the skills to analyze, visualize, and present data-driven insights effectively.

💡 What You’ll Learn

• Fundamentals of Excel for Data Analytics (functions, PivotTables, Power Query).

• SQL for business insights – queries, joins, aggregations, and data cleaning.

• Python for Analytics – data handling, Pandas, and visualization.

• Data Visualization & BI Tools – Tableau, Power BI, Google Data Studio.

• Advanced concepts like Forecasting, A/B Testing, Customer & Marketing Analytics.

• Build and present real-world projects to strengthen your portfolio.

Course Modules

Module 1: Introduction to Data Analytics & Excel Foundations

• What is Data Analytics? Roles, tools, and real-world applications.

• Excel basics: formatting, formulas, sorting & filtering.

• Hands-on: Build a sales summary with Excel functions.

Module 2: Advanced Excel for Analytics

• VLOOKUP, INDEX-MATCH, conditional formatting.

• PivotTables, PivotCharts, slicers for dashboards.

• Power Query for data cleaning & transformations.

• Hands-on: Create a customer sales dashboard in Excel.

Module 3: SQL Foundations

• Databases overview, SELECT, WHERE, ORDER BY.

• Joins (INNER, LEFT, RIGHT), GROUP BY & HAVING.

• Hands-on: Write queries on a sales database.

Module 4: Advanced SQL for Business Insights

• Subqueries, Common Table Expressions (CTEs), window functions.

• Case statements, cohort analysis, retention metrics.

• Data cleaning with SQL (NULLs, duplicates, string functions).

• Hands-on: Rank customers, clean datasets, perform cohort analysis.

Module 5: Python for Data Analytics

• Python basics: data types, loops, functions.

• Pandas for data handling: filtering, merging, GroupBy.

• Data visualization basics with Matplotlib & Seaborn.

• Hands-on: Analyze sales trends with Pandas.

Module 6: Data Visualization & Business Intelligence

• Principles of effective dashboards.

• Tableau basics & advanced (calculated fields, parameters).

• Power BI basics & advanced (DAX, Power Query, interactive dashboards).

• Google Data Studio / Looker for real-time dashboards.

• Hands-on: Build business dashboards across BI tools.

Module 7: Advanced Analytics Concepts

• Business Analytics: KPIs, OKRs, case studies.

• A/B Testing: experiment design, significance testing.

• Forecasting & Trend Analysis with Excel/Python.

• Data Storytelling: presenting insights effectively.

• Hands-on: Marketing campaign metrics & forecasting.

Module 8: Case Studies & Capstone Project

• Case Study 1: Marketing Analytics.

• Case Study 2: Customer Analytics (RFM analysis).

• Final Project: End-to-end Data Analytics project using Excel, SQL, Python & BI tools.

• Portfolio & Career Prep: GitHub, dashboards, resume guidance.