Description
Gain the career-building Python skills you need to succeed in the exciting field of data science—from data manipulation to machine learning! In this track, you’ll learn how this versatile language allows you to import, clean, manipulate, and visualize data—all integral skills for any aspiring data professional or researcher.
Through interactive exercises, you’ll get hands-on with some of the most popular Python libraries, including pandas, NumPy, Matplotlib, and many more. You’ll then work with real-world datasets to learn the statistical and machine learning techniques you need to perform hypothesis testing and build predictive models. Start this track, grow your Python skills, and begin your journey to becoming a confident data scientist.
Topics Covered
Introduction to Python
Intermediate Python
Data Manipulation with pandas
Joining Data with pandas
Introduction to Data Visualization with Matplotlib
Introduction to Data Visualization with Seaborn
Introduction to NumPy
Python Data Science Toolbox (Part 1)
The Android App Market on Google Play
Python Data Science Toolbox (Part 2)
Intermediate Data Visualization with Seaborn
Data Communication Concepts
Data Manipulation with Python
Introduction to Importing Data in Python
Intermediate Importing Data in Python
Cleaning Data in Python
Working with Dates and Times in Python
Importing & Cleaning Data with Python
Writing Functions in Python
Python Programming
Exploratory Data Analysis in Python
Introduction to Regression with stats models in Python
Sampling in Python
Hypothesis Testing in Python