About this Course

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Coursera Labs
Includes hands on learning projects.
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Approx. 14 hours to complete
English

What you will learn

  • Write Python code to conduct various statistical tests including a T test, an ANOVA, and regression analysis.

  • Interpret the results of your statistical analysis after conducting hypothesis testing.

  • Calculate descriptive statistics and visualization by writing Python code.

  • Create a final project that demonstrates your understanding of various statistical test using Python and evaluate your peer's projects.

Skills you will gain

  • Probability And Statistics
  • Regression Analysis
  • Data Visualization (DataViz)
  • Statistical Hypothesis Testing
  • Basic Descriptive Statistics
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Approx. 14 hours to complete
English

Offered by

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IBM Skills Network

Syllabus - What you will learn from this course

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Week1
Week 1
1 hour to complete

Course Introduction and Python Basics

1 hour to complete
2 videos (Total 6 min), 2 readings, 1 quiz
Week2
Week 2
1 hour to complete

Introduction & Descriptive Statistics

1 hour to complete
4 videos (Total 19 min)
Week3
Week 3
1 hour to complete

Data Visualization

1 hour to complete
4 videos (Total 19 min)
Week4
Week 4
2 hours to complete

Introduction to Probability Distributions

2 hours to complete
5 videos (Total 21 min), 2 readings, 3 quizzes

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About the Data Science Fundamentals with Python and SQL Specialization

Data Science Fundamentals with Python and SQL

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