python level II

A continuation from our Fundamentals of Python (A103) lecture series, Python in Practice (A104) supercharges your ability to rapidly attain insight from data using the Python programming language.

In this course, we show you how easy it is to use Python to quickly get to grips with data using its extensive libraries. From descriptive statistics to data visualisations, you'll begin to learn how to explore data in a a much more efficient and robust manner that will ultimately speed up your time to insight and save you hours wrangling data.

Upon completing this course, participants will leave with an understanding of how to use Python to bolster their insight generation and will appreciate why Python is the preferred programming language for data scientists across all sectors. Most importantly, you will have taken your first step in creating an Artificial Intelligence / Machine Learning solution which is a prerequisite for our Business Intelligence: Deploying AI / ML Methodologies with Python (A106).

Course Agenda

Session 1: Dataframes with Pandas

Session 2: Renaming, Indexing, Slicing and Boolean Indexing within Dataframes

Session 3: Manipulating, Sorting, Merging and Exporting Dataframes

Session 4: Descriptive Statistics and Data Auditing with Python

Session 5: Visualisations with Matplotlib and Seaborn

Session 6: Exploratory Data Analysis Use Case