Advanced Data Analytics using Python

Master Advanced Data Analytics by solving Real-Life Analytics Problems using Python. Learn by doing!

Details

What you'll learn-
✔ Learn about python variables and data types.
✔ Learn about loops and conditionals in python.
✔ Learn about the different data structures of python.
✔ Learn about the creation of functions in python.
✔ Learn about object oriented programming using python.
✔ Learn about searching, sorting and time complexity in python.
✔ Learn about Regular expressions and date time objects in Python.
✔ Learn about the Numpy and the Pandas library.
✔ Learn exploring data using Dabl and Sweetviz library.
✔ Learn probability concepts such as Conditional probability, bayes theorem.
✔ Learn about descriptive and inferential statistics.
✔ Learn the concept of normal distribution.
✔ Learn about the different hypothesis tests- T test, Z test, Anova Test and Chi Squared
test
✔ Learn about the different hypothesis tests- T test, Z test, Anova Test and Chi Squared
test.
✔ Learn how to handle missing values and outliers.
✔ Learn the basics as well as advanced visualization techniques.
✔ Learn how to use of group by functions, pivoting functions.
Quizzes and exercises
✔ Use Python to solve real-world tasks
✔ Learn how to code in Python
✔ Learn to program in Python at a good level


Curriculum

An Google, Facebook, Kaggle Grandmasters team

Data is Good
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