Course curriculum

  • 1

    Python Powers and Limitations

    • Where Excel stops and Python begins

    • Approaching Python from the programmer’s perspective

    • Using Python for data analysis
  • 2

    Everything you do in Excel but Faster and with Bigger Data

    • Setting up your development environment

    • What we’re going to use and when you might want to skip this…

    • The Power of Pandas

    • Loading in data

    • Filtering your data

    • Aggregating your data
  • 3

    Exploring Data with Python

    • Sizing up your data

    • Identifying the types of variable and data types

    • Getting summary statistics about your data sets

    • Visualizing your data

    • Data gaps and what to do with them
  • 4

    Getting Into Modelling

    • Linear regression and other common techniques

    • Learning about libraries

    • Learning from the data science community

    • Demystifying Big Data and Machine Learning

    • Deciding how far you want to go with modelling and machine learning
  • 5

    Working with your data experts

    • Setting the right expectations and business objectives