Introduction to Statistics for Data Science using Python
Quick Facts
particular | details | ||||
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Medium of instructions
English
|
Mode of learning
Self study
|
Mode of Delivery
Video and Text Based
|
Learning efforts
3-4 Hours Per Week
|
Course and certificate fees
Type of course
Free
certificate availability
Yes
certificate providing authority
IBM
certificate fees
₹7,472
The syllabus
Calculate and apply measures of central tendency and measures of dispersion to grouped and ungrouped data
Summarize, present, and visualize data in a way that is clear, concise, and provides a practical insight for non-statisticians needing the results
Identify appropriate hypothesis tests to use for common data sets
Conduct hypothesis tests, correlation tests, and regression analysis
Demonstrate proficiency in statistical analysis using Python and Jupyter Notebooks
Instructors
Articles
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