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

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Complete Guide to Python Data Analysis with Real Datasets
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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

642 Reviews

43,864 Students

32 Courses

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