Course
Data Analytics Bootcamp
A complete practical program covering Excel, SQL, Power BI, and Python — from data preparation to dashboards, analysis, and final projects.
Who this is for
Designed for anyone who wants to build a career in Data Analytics or develop practical data skills from scratch. Suitable for students, recent graduates, business professionals, engineers, finance specialists, marketers, and anyone interested in working with data. Whether you are changing careers or improving your current skills, this bootcamp provides a complete learning path from Excel fundamentals to SQL, Power BI, and Python. No prior programming experience is required.
The Data Analytics Bootcamp is a complete practical program designed to take learners from the foundations of working with data to real analytical projects. The program follows a clear step-by-step path: Excel helps you organize, clean, and summarize data; SQL teaches you how to query databases and work with structured data; Power BI helps you turn results into interactive dashboards and reports; and Python adds deeper analysis, automation, and data processing capabilities. Throughout the bootcamp, you will work with realistic datasets, practical exercises, and project-based tasks. You will learn how to prepare data, ask the right analytical questions, build meaningful reports, visualize insights, and present results clearly. By the end of the program, you will have hands-on experience across the main tools used in data analytics and a final project that demonstrates your skills.
What you'll learn
Excel
Data preparation, formulas, logical functions, PivotTables, charts, dashboards, and reporting.
SQL
Relational database concepts, querying, filtering, joins, aggregation, subqueries, and analytical functions.
Power BI
Data transformation, data modeling, DAX, interactive reports, dashboards, and business intelligence.
Python
Programming fundamentals, NumPy, Pandas, data cleaning, visualization, exploratory data analysis (EDA), and statistics.
Capstone Project
Solve a real business problem by combining Excel, SQL, Power BI, and Python in an end-to-end analytics workflow.
Career Preparation
Portfolio development, interview preparation, and best practices for working as a Data Analyst.
20 weeks
