duration
duration
Full day or
two half-days
Virtual or in-person
certification
certification
afterskills Python II
practitioner
Awarded upon completion
course description_
course description_
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 extensive dataframe manipulation, you'll begin to learn how to explore data in a much more efficient and robust manner that will ultimately speed up your time to insight and save you hours of data wrangling.
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.
agenda
Topic 1: Course Introduction & Dictionaries
Topic 2:
Dataframes with Pandas
Topic 3:
Renaming, Indexing, and Slicing within Dataframes
Topic 4:
Manipulating, Sorting, Merging and Exporting
Topic 5:
Descriptive Statistics and Data Auditing with Python
Topic 6:
Group By