Price 15,000.00 GST

Course Features
language
Language: English
access_time
40 hours
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Study Level: Intermediate
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Certificate of Completion
About this Course

WHAT YOU WILL LEARN

  • Describe common Python functionality and features used for data science

  • Explain distributions, sampling, and t-tests

  • Query DataFrame structures for cleaning and processing

  • Understand techniques such as lambdas and manipulating csv files

SKILLS YOU WILL GAIN

Python ProgrammingNumpyPandasData Cleansing

Syllabus – What you will learn from this course

3 hours to complete

Week 1

In this week you’ll get an introduction to the field of data science, review common Python
functionality and features which data scientists use, and be introduced to the Cou
3 hours to complete

Week 2

In this week of the course you’ll learn the fundamentals of one of the most important toolkits
Python has for data cleaning and processing — pandas. You’ll learn how to read in .
3 hours to complete

Week 3

In this week you’ll deepen your understanding of the python pandas library by learning how to
merge DataFrames, generate summary tables, group data into logical pieces, 

6 hours to complete

Week 4

In this week of the course you’ll be introduced to a variety of statistical techniques such a
distributions, sampling and t-tests. The majority of the week will be dedicated 
  • Introduction1m
  • Distributions4m
  • More Distributions8m
  • Hypothesis Testing in Python10m

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