Python For Data-Science

Python for Data Science (PY0101EN) is an online course offered by IBM. Completing this course will count towards learning Data Science fundamentals with Python and SQL.

Pasted below is the certificate an badge I attained for completing the course:

In this course I learn:

1. What is Python and why is it useful
2. The application of Python
3. How to define variables
4. Sets and conditional statements in Python
5. The purpose of having functions in Python
6. How to operate on files to read and write data in Python
7. How to use pandas

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The following are links to notebooks showcasing my hands-on labs in Python:

Module 1 - Python Basics

• Introductory Python Code: https://gist.github.com/6e969cb1337af7eca8da6f4b1e44b4b5

• String Operations: https://gist.github.com/fb25f4353e31cbd799949a6961d50921

Module 2 - Python Data Structures

• Tuples in Python: https://gist.github.com/80df1fe07c06663debbc3d251ad7923c

• Lists in Python: https://gist.github.com/f0b2fabe7fb248b09ac130438eb12a39

• From Lists to Set: https://gist.github.com/c7e018f22bae7d2ab054dfe68b8cd2b3

• Sets in Python: https://gist.github.com/08cb1544a1891bb06df3c9128469f25a

• Dictionaries: https://gist.github.com/5b199bdc9af5e19c9471c4258db4929d

Module 3 - Python Programming Fundamentals

• Introduction to Conditions and Branching: https://gist.github.com/91288c5282a03108f59e05d310cfe277

• Conditions and Branching: https://gist.github.com/4a0c5062aefbc130f57f1a941046b1c4

• Introduction to Loops https://gist.github.com/dc019f75da053c8bc112a8e832685de3

• Loops in Python: https://gist.github.com/9f1fc083c9519eb6bc4e32126810926c

• Introduction to Functions: https://gist.github.com/8961a8c1d69d08cdbe089bf0a21d7e1c

• Functions in Python: https://gist.github.com/fd344de74fb0e48ca1575b74a12d1373

• Introduction to Objects and Classes: https://gist.github.com/21f652d7ebb238802451d152b12b16e8

• Objects and Classes in Python: https://gist.github.com/0f23f926b2f1d2be9037ae6d58e2c874

• Exception Handling: https://gist.github.com/02569e7f8e1f1df98264205c9670f2a0

Module 4 - Working with Data in Python

• Reading Files in Python: https://gist.github.com/e20bd1140e898b090422018eef91f4c6

• Write and Save Files in Python: https://gist.github.com/e126b6bea57b4a28b5680c87288f63e9

• Get to Know a Pandas Array 1: https://gist.github.com/5739b9c052f985b6048f8b814d8d4afb

• Get to Know a Pandas Array 2: https://gist.github.com/74f577dd424f4745b1ad3189af3b1091

• Loading and Viewing Data: https://gist.github.com/67fff30229390e23104365d1c2d6e251

• API - Watson Speech to Text Translator: https://gist.github.com/9112411e9dad03c63b784241cb6f7e6c

Module 5 - Working Numpy Arrays

• Introduction to 1D Numpy Array: https://gist.github.com/30c0d7f36cc8002eecd4878895429d1d

• 1D Numpy in Python: https://gist.github.com/75545a54b7c876baae06bc3a8ae89e49

• Get to Know 2D Numpy Array: https://gist.github.com/256d87d4cabf737bfced834ef675fb45

• 2D Numpy in Python: https://gist.github.com/af6bd45c0cd216f3d8eeba56f7b845c1

• HTTP and Requests: https://gist.github.com/7c5e1ecbe49dad9122c56f12630706b8