Today we continue our Data Analyst Portfolio Project Series. In this project we will be working in Python to find correlations between variables.

Please remember to save this project and add it to your GitHub once you are done!

LINKS:
Project Dataset: https://www.kaggle.com/danielgrijalvas/movies

Python IDE: https://www.anaconda.com/products/individual

Link to Python Code: https://github.com/AlexTheAnalyst/PortfolioProjects/blob/main/Movie%20Portfolio%20Project.ipynb

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RESOURCES:

Coursera Courses:
Google Data Analyst Certification: https://coursera.pxf.io/5bBd62
Data Analysis with Python - https://coursera.pxf.io/BXY3Wy
IBM Data Analysis Specialization - https://coursera.pxf.io/AoYOdR
Tableau Data Visualization - https://coursera.pxf.io/MXYqaN

Udemy Courses:
Python for Data Analysis and Visualization- https://bit.ly/3hhX4LX
Statistics for Data Science - https://bit.ly/37jqDbq
SQL for Data Analysts (SSMS) - https://bit.ly/3fkqEij
Tableau A-Z - http://bit.ly/385lYvN

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Patreon Page - https://www.patreon.com/AlexTheAnalyst

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Websites:
GitHub: https://github.com/AlexTheAnalyst
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*All opinions or statements in this video are my own and do not reflect the opinion of the company I work for or have ever worked for*

0:00 Introduction
0:58 Download Dataset
1:45 Download Python IDE
3:16 Import Python Libraries
4:38 Read in Data using Pandas
8:43 Look for Missing Data
12:30 Data Cleaning
25:08 Finding Correlations in the Data
54:21 Saving and Uploading to GitHub