Skip main navigation
Home Microsoft Future Ready: Data Science Research Methods on Python Programming Page 2

Course: Microsoft Future Ready: Data Science Research Methods on Python Programming

Module 5 Labs

Module 5 Labs: Mod 5 Lab 1 – Correlation (Mod5_Lab1_-Correlation.ipynb) NOTE Ignore that this is called “Mod3_Lab1” Mod 5 Lab 2 – Regression (Mod5Lab2_-Regression.ipynb) NOTE Ignore that this is called …

Module 4 Lab

This lab is for reference only – you will not be assessed on this for your gradde. Module 4 Lab: Lab 1 – Reliability (Mod4_Lab1_-_Reliability.ipynb)

Section 3 Labs

In Module 2, we now begin applying the concepts learned in Module 1 and 2 to real data sets. In Module 0, you should have set up your lab environment …

Section 4 Labs

Module 3 Labs: Lab 1 – Frequency (Mod3_Lab1_-_Frequency.ipynb) Lab 2 – Association (Mod3_Lab2_-_Association.ipynb) Lab 3 – Causal (M3_Lab3_-_Causal_Claim.ipynb)

Causal Claims

Overview This is an additional video, hosted on YouTube. Analysis Considerations This is an additional video, hosted on YouTube. Interpretations This is an additional video, hosted on YouTube.

Association Claims

Conceptual Overview This is an additional video, hosted on YouTube. Analysis Considerations This is an additional video, hosted on YouTube. Interpretation This is an additional video, hosted on YouTube.

Frequency Claims

Conceptual Overview This is an additional video, hosted on YouTube. Analysis Considerations This is an additional video, hosted on YouTube. Interpretation This is an additional video, hosted on YouTube.

Power

Part I This is an additional video, hosted on YouTube. Part 2 This is an additional video, hosted on YouTube.
These articles are from the online course:

Microsoft Future Ready: Data Science Research Methods on Python Programming

Join Now