Data Analysis with Pandas and Python

Beginner
9 sections
40 topics
Duration: 10 weeks

N80000

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What you'll learn

A step by step approach to learning Data Analysis with Pandas and Python

Course content

  • Overview of Data Analysis
  • Importance of Data Analysis
  • Applications in various industries
  • Introduction to Python for Data Analysis
  • Setting up Python environment (Anaconda, Jupyter)
  • Python fundamentals (variables, data types, loops, and functions)

  • Introduction to Pandas Library
  • Installing and importing Pandas
  • Pandas data structures (Series, DataFrame)
  • Data Manipulation with Pandas
  • Indexing and selecting data
  • Data cleaning and preprocessing
  • Handling missing data

  • Understanding the Dataset
  • Descriptive statistics
  • Summarizing data using Pandas
  • Data Visualization with Matplotlib and Seaborn
  • Plotting basics
  • Creating informative visualizations

  • Merging and Concatenating DataFrames
  • Grouping and Aggregating Data
  • Pivoting and Melting DataFrames

  • Working with DateTime objects in Pandas
  • Resampling and frequency conversion
  • Time series visualization

  • Statistical Analysis with Pandas
  • Hypothesis testing
  • Correlation and regression analysis
  • Machine Learning with scikit-learn and Pandas
  • Data preprocessing for machine learning
  • Building simple predictive models

  • Applying Data Analysis to Business Problems
  • Case Studies and Projects
  • Analyzing real-world datasets
  • Presenting findings and insights

  • Code optimization for large datasets
  • Best practices in data analysis with Pandas
  • Version control and collaboration with Git

  • Developing a Data Analysis Project
  • Presenting and sharing the project results

Requirements

  • Basic programming knowledge: You should have a good understanding of programming fundamentals, especially in Python.
  • Familiarity with data types, variables, loops, and conditional statements in Python.


Description

A step by step approach to learning Data Analysis with Pandas and Python. This course is for anyone interested in the field of Data Analysis.

Who this course is for:

Anyone interested in the field of Data Analysis