Data Analytics

Turn data into
useful decisions.

Learn the tools and skills used by modern data analysts. From Excel and SQL to Power BI and Python, build practical skills through real-world projects.

Learn the Tools

Build your analytics toolkit.

These are some of the most useful technologies and skills to develop when starting a career in data analytics.

📗

Excel

Master formulas, functions, PivotTables, charts, dashboards and data cleaning.

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🗄️

SQL

Learn how to query databases, filter data, join tables and extract useful insights.

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📊

Power BI

Create interactive dashboards, reports and business intelligence solutions.

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🐍

Python

Use Python and libraries such as Pandas to analyze and manipulate data.

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Career Roadmap

Your path to becoming a Data Analyst.

You don't need to learn everything at once. Follow a structured path and build your skills step by step.

01

Learn Excel

Start with spreadsheets, formulas, functions, PivotTables and basic data visualization.

02

Learn SQL

Understand databases and learn to retrieve and analyze data using SQL queries.

03

Learn Power BI

Turn raw data into interactive dashboards and meaningful business reports.

04

Build Projects

Work with real-world datasets and create projects that demonstrate your skills.

05

Prepare for Jobs

Create your resume, prepare for interviews and start applying for analyst positions.

Core Skills

More than just tools.

A good data analyst doesn't simply know software. You also need analytical thinking, communication and the ability to turn numbers into useful business insights.

Data Cleaning
Data Visualization
SQL
Excel
Power BI
Statistics
Problem Solving
Business Analysis

Practice

Build projects, not just certificates.

Real projects are one of the best ways to demonstrate your ability to analyze data and solve practical problems.

Sales Dashboard

Analyze a realistic dataset and create a professional dashboard or analytical report.

Employee Analytics

Analyze a realistic dataset and create a professional dashboard or analytical report.

E-commerce Analysis

Analyze a realistic dataset and create a professional dashboard or analytical report.

Ready to start learning?

Start with Excel, move to SQL and Power BI, build projects and gradually become job-ready.

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