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: www.geeksforgeeks.org/python-list-vs-array-vs-tupl…
Python Sets: www.w3schools.com/python/python_sets.asp

Documentation for libraries
Pandas Docs: pandas.pydata.org/docs/
Numpy Docs: numpy.org/doc/
Scikit Learn Docs: scikit-learn.org/0.21/documentation.html
Matplotlib Docs: matplotlib.org/stable/index.html
Seaborn Docs: seaborn.pydata.org/
Plotly Docs: plotly.com/python/
Tensorflow Docs: www.tensorflow.org/api_docs
Pytorch Docs: pytorch.org/docs/stable/index.html
Keras Docs: keras.io/

Other Resources/ projects:
Project Example Using Many of These Tools:    • Beginner Kaggle Data Science Project ...  

#datascience #KenJee #coding


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