Data Analytics

Categories: Data & AI
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About Course

Learn Data Analytics from beginner to practical level. This free course covers Python for Data Analysis, NumPy, Pandas, data cleaning, exploratory data analysis (EDA), data visualization, statistics, SQL, Power BI, web scraping, and real-world data analytics projects.

What Will You Learn?

  • Write Python code for data analysis
  • Clean and prepare datasets
  • Analyze data using Pandas
  • Create effective visualizations
  • Understand statistical concepts
  • Build basic machine learning models
  • Interpret and communicate insights
  • Complete end-to-end data projects

Course Content

Python for Data Analysis
Learn the Python fundamentals necessary for working with data and preparing datasets for analysis.

Data Cleaning & Visualization
Learn how to prepare messy datasets and create visualizations that communicate meaningful insights.

Introduction to Machine Learning
Understand how machines learn from data and build your first predictive models.