Course curriculum

    1. Segment - 01 - Course Introduction

    2. Segment - 02 - Anaconda

    3. Segment - 03 - Get Started With the Python Data Science Environment: Anaconda

    4. Segment - 04 - Anaconda for Mac Users

    5. Segment - 05 - The iPython Environment

    1. Segment - 06 - What are Pandas?

    2. Segment - 07 - Read CSV Data

    3. Segment - 08 - Read Excel Data

    4. Segment - 09 - Read in HTML Data

    5. Segment - 10 - Basic Data Exploration With Pandas

    6. Segment - 11 - Basic Data Handling With Conditional Statements

    7. Segment - 12 - Drop Column/Row

    8. Segment - 13 - Merging and Joining Data

    1. Segment - 14 - What is Data Visualization?

    2. Segment - 15 - Some Theoretical Principles Behind Data Visualization

    1. Segment - 16 - Histograms-Visualize the Distribution of Continuous Numerical Variables

    2. Segment - 17 - Boxplots-Visualize the Distribution of Continuous Numerical Variables

    3. Segment - 18 - Scatter plot-Relationship Between Two Numerical Variables

    4. Segment - 19 - Barplot

    5. Segment - 20 - Pie Chart

    6. Segment - 21 - Line Charts

    1. Segment - 22 - The Rationale Behind the Grammar of Graphics

    2. Segment - 23 - Getting Started - Part 1

    3. Segment - 24 - Getting Started - Part 2

    1. Segment - 26 - Basic Spatial Concepts

    2. Segment - 27 - Visualize Shapefiles With Python

    3. Segment - 28 - More Shapefile Visualizations with Geopandas

    4. Segment - 29 - Some In-Built GIS Datasets

    5. Segment - 30 - Introduction to Choropleth Mapping

    6. Segment - 31 - Choropleth Mapping - Part 2

About this course

  • Free
  • 35 lessons
  • 5 hours of video content