📚 Phase 1 | Introduction to Data Analytics
Kickstart your data journey by understanding what data analytics is, the role of a data analyst, and essential tools used in the industry.
Your Learning Journey Roadmap
🧮 Phase 2 | Mastering Excel & Google Sheets
Learn essential Excel and Google Sheets skills for data analysis, including formulas, pivot tables, data cleaning, dashboards, and automation.
🗄️ Phase 3 | SQL & Databases
Master the fundamentals of SQL and relational databases — from writing queries and joining tables to advanced transformations and performance optimization.
🐍 Phase 4 | Python for Data Analysis
Learn Python for Data Analysis — from data cleaning and manipulation to visualization and exploratory insights using Pandas, NumPy, Matplotlib, and Seaborn.
📊 Phase 5 | Data Visualization & Storytelling
Learn how to turn data into impactful visual stories using tools like Power BI, Tableau, and Google Data Studio.
🔍 Phase 6 | Statistics & Data Interpretation
Learn how to use statistics to analyze data, interpret results, and make confident decisions using hypothesis testing, A/B testing, and regression models.
🎓 Phase 7 | Capstone Project & Job Readiness
Complete a real-world data project, build your portfolio, and prepare for job applications with resume support, mock interviews, and job search strategies.