Advanced Data Analytics Training using Python
Master Advanced Data Analytics by solving Real-Life Analytics Problems using Python. Learn by doing!
What you’ll learn
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Learn about python variables and data types.
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Learn about loops and conditionals in python.
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Learn about the different data structures of python.
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Learn about the creation of functions in python.
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Learn about object oriented programming using python.
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Learn about searching, sorting and time complexity in python.
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Learn about Regular expressions and date time objects in Python.
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Learn about the Numpy and the Pandas library.
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Learn exploring data using Dabl and Sweetviz library.
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Learn probability concepts such as Conditional probability, bayes theorem.
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Learn about descriptive and inferential statistics.
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Learn the concept of normal distribution.
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Learn about the different hypothesis tests- T test, Z test, Anova Test and Chi Squared test
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Learn about the different hypothesis tests- T test, Z test, Anova Test and Chi Squared test.
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Learn how to handle missing values and outliers.
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Learn the basics as well as advanced visualization techniques.
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Learn how to use of group by functions, pivoting functions.
Requirements
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Basic data analysis skills
Who this course is for:
- Data Analysts
- Business Analysts
- Data Scientist