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Course Description
This course will guide you through the basics of Python required for working with financial data
Training 2 or more people?
Get your team access to the full DataCamp platform, including all the features.- 1
Python Basics
FreeAn introduction to the basic concepts of Python. Learn how to use Python both interactively and through a script. Create your first variables and acquaint yourself with Python's basic data types.
- 2
Python Lists
FreeLearn to store, access and manipulate data in lists: the first step towards efficiently working with huge amounts of data.
- 3
Functions and Packages
FreeTo leverage the code that brilliant Python developers have written, you'll learn about using functions, methods and packages. This will help you to reduce the amount of code you need to solve challenging problems!
- 4
NumPy
FreeNumPy is a Python package to efficiently do data science. Learn to work with the NumPy array, a faster and more powerful alternative to the list, and take your first steps in data exploration.
Your First NumPy Array100 xpBaseball players' height100 xpBaseball player's BMI100 xpLightweight baseball players100 xpNumPy Side Effects50 xpSubsetting NumPy Arrays100 xpYour First 2D NumPy Array100 xpBaseball data in 2D form100 xpSubsetting 2D NumPy Arrays100 xp2D Arithmetic100 xpAverage versus median100 xpExplore the baseball data100 xpBlend it all together100 xp - 5
Python Dictionary Comprehension
FreeLearn all about Python dictionary comprehension- how you can use it to create dictionaries and loops and conditionals
- 6
Introduction to Pandas
FreePandas is one of the most widely used Python libraries in data science. It is one of the most powerful and flexible open source data analysis and manipulation tool available in any language.
Creating a Dataframe100 xpIndex and Columns in DataFrames50 xpDataFrame Shape100 xpSelecting an Index or Column From a Pandas DataFrame100 xpAdding an Index to a DataFrame100 xpAdding Rows to a DataFrame100 xpAdding a Column to Your DataFrame100 xpResetting the Index of Your DataFrame100 xpDelete Indices, Rows or Columns From a Pandas Data Frame100 xpRename the Index or Columns of a Pandas DataFrame100 xp - 7
Advanced Pandas
FreeNow that you have an introduction to Pandas, it’s time to go beyond the basics and get our hands dirty for real. Because there is far more to DataFrames than what you have seen in the first section.
Format Data: Replacing All Occurrences of a String in a DataFrame100 xpRemoving Parts From Strings in the Cells of Your DataFrame100 xpReshape Pandas DataFrame100 xpSplitting Text in a Column into Multiple Rows in a DataFrame100 xpInitializing an Empty DataFrame100 xpImporting Data (especially with dates)100 xpIterate Over a Pandas DataFrame100 xp
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