This course focuses on Python specifically for data science, and will introduce data manipulation and cleaning techniques using the popular python pandas data science library, will continue with NumPy adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
Every student has assigned to him his own virtual lab environment setup.
To attend this course, Python for Data Science, you need to have:
• PC/Laptop with internet access
• Updated web browser
Module 1
Module 2
Module 3
Module 4
Module 5
Module 6
Module 7
What you'll learn
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