Data Science

Learn how to collect, clean, analyze, and visualize data to drive decisions. Build models that uncover patterns and deliver predictions with real-world datasets.

  • Python, NumPy, Pandas, and data cleaning
  • Visualization with Matplotlib and Seaborn
  • Statistics, A/B testing, and reporting
Data science
What you will learn

Data wrangling, EDA, dashboards, and building insights that teams can use.

Browse Courses
Data basics
Data Basics

Understand data types, cleaning workflows, and exploratory analysis.

Visualization
Visualization

Create clear charts and dashboards for business reporting.

Machine learning
Modeling

Build predictive models and evaluate them with proper metrics.

Tools You Will Use

Jupyter, SQL, Power BI/Tableau basics, and Git for projects.

  • Data pipelines and ETL
  • Business storytelling
  • Portfolio-ready case studies
Data projects
Project Based Learning

Work on datasets from marketing, finance, and operations.

By Instructor User

Web developer
HighestRated

Updated November 2025

  • 23 total hours
  • advance

Software Developer

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By Instructor User

Full Stack Developer
Featured

Updated January 2026

  • 23 total hours
  • beginer

Full Stack Developer

  • first
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  • nine
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By Instructor User

CCNA Networking
Featured

Updated January 2026

  • 23 total hours
  • advance

CCNA Networking

  • first
  • Second
  • Third
  • Forth
  • Fifth

By Instructor User

Software Testing
Bestseller

Updated January 2026

  • 23 total hours
  • beginer

Testing Software

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  • Course Goals forth
  • fifth Course Goals first

By Instructor User

Digital Marketing
Featured

Updated January 2026

  • 23 total hours
  • medium

Digital Marketing

  • first
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  • third
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By Instructor User

Software Developer
Bestseller

Updated January 2026

  • 23 total hours
  • advance

Software Developer

  • First ssss
  • Second
  • Third
  • Forth
  • Fifth