Become a Python Data Analyst [Video]
The Python programming language has become a major player in the world of Data Science and Analytics. This course introduces Python’s most important tools and libraries for doing Data Science; they are known in the community as “Python’s Data Science Stack”.
This is a practical course where the viewer will learn through real-world examples how to use the most popular tools for doing Data Science and Analytics with Python.Style and Approach
This course introduces the viewer to the main libraries of Python’s Data Science stack. Taking an applied approach, it provides many examples using real-world datasets to show how to effectively use Python’s tools to process, visualize and analyze data. It contains all you need to start analyzing data with Python and provides the foundation for more advanced topics like Predictive Analytics.
|Course Length||4 hours 30 minutes|
|Date Of Publication||30 May 2017|
|Main Properties, Operations and Manipulations|
|Answering Simple Questions about a Dataset – Part 1|
|Answering Simple Questions about a Dataset – Part 2|
|Alcohol Consumption – Confidence Intervals and Probability Calculations|
|Hypothesis Testing – Does Alcohol Consumption Affect Academic Performance?|
|Hypothesis Testing – Do Male Teenagers Drink More Than Females?|
|The Scikit-Learn Library – Building a Simple Predictive Model|
|Classification – Predicting the Drinking Habits of Teenagers|
|Regression – Predicting House Prices|