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Manan Modi
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Work flow for week 1 and Week 2
Setting Up the Environment:
Anaconda Distribution for python by following steps from the link given below:
1)For Windows users:
Windows Installation : https://www.anaconda.com/distribution
2)For Ubuntu users:
Ubuntu Installation : https://www.digitalocean.com/community/tutorials/how-to-install-the-anaconda-python-distribution-on-ubuntu-18-04
3)For Mac OS users:
Mac OS Installation : https://www.datacamp.com/community/tutorials/installing-anaconda-mac-os-x
(PS: Python 3.7 version is preferable)
Make Sure you make notes! Making Notes are one of the most efficient form of learning.
We'll be using Jupyter notebook throughout this course. https://www.youtube.com/watch?v=CwFq3YDU6_Y Watch this for better understanding.
WEEK 1:
Enroll for free into "Python for Data Science and AI"
Day 1
1.Python Basics(Complete Week 1) - https://www.coursera.org/learn/python-for-applied-data-science-ai
Day 2
1.Python Data Structure( Complete Week 2) - https://www.coursera.org/learn/python-for-applied-data-science-ai
Day 3
1.Python Programming Fundamentals(Week 3 Before Objects) - https://www.coursera.org/learn/python-for-applied-data-science-ai
List Comprehensions - https://www.youtube.com/watch?v=AhSvKGTh28Q
Day 4
1.Intro to Numpy - https://www.youtube.com/watch?v=a8aDcLk4vRc
https://www.youtube.com/watch?v=QUT1VHiLmmI
Day 5:
1. Numpy Refresher - https://cs231n.github.io/python-numpy-tutorial/
https://www.youtube.com/watch?v=8JfDAm9y_7s
Week 2:
Day 1:
1. First step to Data Analysis Using Pandas in Python:[ Video 1 - 9 ] - https://www.youtube.com/watch?v=yzIMircGU5I&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=1
Day 2:
1. Data Analysis in Python[Video 10 - 21] - https://www.youtube.com/watch?v=B-r9VuK80dk&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=10
Day 3:
1. Data Analysis in Python[ Video 24 - 30 ] - https://www.youtube.com/watch?v=B-r9VuK80dk&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=10
Day 4:
1. Introduction to Web Scrapping using Python: https://www.youtube.com/playlist?list=PL5-da3qGB5IDbOi0g5WFh1YPDNzXw4LNL
Day 5:
1. More into Web Scrapping:https://www.youtube.com/watch?v=mKxFfjNyj3c
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