Data Science & Visualization

Categories: Development
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About Course

Explore the data-driven world by mastering data collection, cleaning, analysis, and visualization. This course covers tools like Pandas, NumPy, Matplotlib, and Seaborn, helping you build insights and predictive analytics.

Course Content

Introduction to Data Science

  • Lesson 1: What is Data Science?
  • Lesson 2: Data Science Lifecycle
  • Lesson 3: Setting Up Python Environment
  • Lesson 4: Working with Jupyter Notebooks
  • Lesson 5: Introduction to Numpy
  • Lesson 6: Introduction to Pandas
  • Lesson 7: Importing and Exporting Data
  • Lesson 8: Exploratory Data Analysis
  • Lesson 9: Data Cleaning Basics
  • Lesson 10: Real-World Data Science Projects

Data Preprocessing

Data Visualization

Statistics & Probability

Predictive Analytics