Free Udemy Course __ Complete Guide to Python Data Analysis with Real Datasets

Learn Python Programming, Data Analysis, and Machine Learning Techniques to Solve Real World Business Challenges with AI

4.5 (730 students students enrolled) English
back-end Python
Complete Guide to Python Data Analysis with Real Datasets

What You'll Learn

  • Overview of Python in Data Science
  • Variables, Data Types, Lists, Dictionaries
  • Control Structures (if/else, loops)
  • Functions and Modules
  • Introduction to Key Libraries:NumPy, Pandas, Matplotlib
  • Data Selection and Filtering
  • Handling Missing Data
  • Data Transformation and Aggregation
  • Descriptive Statistics: Mean, Median, Mode, Variance, Standard Deviation
  • Encoding Categorical Variables
  • Feature Scaling and Normalization
  • Merging and Joining DataFrames
  • Introduction to Matplotlib: Line Plots, Bar Charts, Pie Charts
  • Introduction to Seaborn: Heatmaps, Pairplots, Violin Plots
  • Customizing Visualizations: Titles, Labels, Legends, Colors
  • Correlation and Regression Analysis

Requirements

  • No prior experience is needed.

Who This Course is For

  • Anyone curious about data and looking to explore data-driven problem solving.
  • Students and professionals who want to add Python and data analysis skills to their toolkit.
  • Who want to start a career in data analysis or data science.
  • Business professionals who want to use data for decision-making and insights.

Your Instructor

Brighter Futures Hub

Instructor at Udemy

4.0 Instructor Rating

234 Reviews

23,320 Students

32 Courses

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