Programming / Coding is one of the most important skills for a data scientist. Having a great foundation can increase your value over the course of your career. In this video I talk about the 5 essential programming concepts that will give you the biggest boost for a data career.
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0:00 Intro
1:10 Control Flow Structures
3:47 Data Structures
5:56 Data Types
7:45 Functions & Methods
9:40 Libraries
11:49: Debugging
12:20 Object Oriented Programming
12:52 Learning Framework
Tuples Vs Arrays Vs Lists: https://www.geeksforgeeks.org/python-list-vs-array-vs-tuple/
Python Sets: https://www.w3schools.com/python/python_sets.asp
Documentation for libraries
- Pandas Docs: https://pandas.pydata.org/docs/
- Numpy Docs: https://numpy.org/doc/
- Scikit Learn Docs: https://scikit-learn.org/0.21/documentation.html
- Matplotlib Docs: https://matplotlib.org/stable/index.html
- Seaborn Docs: https://seaborn.pydata.org/
- Plotly Docs: https://plotly.com/python/
- Tensorflow Docs: https://www.tensorflow.org/api_docs
- Pytorch Docs: https://pytorch.org/docs/stable/index.html
- Keras Docs: https://keras.io/
Other Resources/ projects:
- Project Example Using Many of These Tools:
https://www.youtube.com/watch?v=I3FBJdiExcg&ab_channel=KenJee
#datascience #KenJee #coding
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My Playlists
Data Science Beginners: https://www.youtube.com/playlist?list=PL2zq7klxX5ATMsmyRazei7ZXkP1GHt-vs
Project From Scratch:
https://www.youtube.com/watch?v=MpF9HENQjDo&list=PL2zq7klxX5ASFejJj80ob9ZAnBHdz5O1t&ab_channel=KenJee
Kaggle Projects: https://www.youtube.com/playlist?list=PL2zq7klxX5AQXzNSLtc_LEKFPh2mAvHIO