About this Course

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Shareable Certificate
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Coursera Labs
Includes hands on learning projects.
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Intermediate Level
Approx. 16 hours to complete
English

What you will learn

  • Prepare data for analysis by handling missing values, formatting and normalizing data, binning, and turning categorical values into numeric values.

  • Compare and contrast predictive models using simple linear, multiple linear, and polynomial regression methods.

  • Examine data using descriptive statistics, data grouping, analysis of variance (ANOVA), and correlation statistics.

  • Evaluate a model for overfitting and underfitting conditions and tune its performance using regularization and grid search.

Skills you will gain

  • Data Science
  • Statistical Analysis
  • R Programming
  • Data Analysis
  • Data Visualization (DataViz)
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
Intermediate Level
Approx. 16 hours to complete
English

Offered by

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IBM Skills Network

Syllabus - What you will learn from this course

Week1
Week 1
2 hours to complete

Introduction to Data Analysis with R

2 hours to complete
6 videos (Total 24 min), 1 reading, 3 quizzes
Week2
Week 2
2 hours to complete

Data Wrangling

2 hours to complete
6 videos (Total 26 min), 1 reading, 3 quizzes
Week3
Week 3
2 hours to complete

Exploratory Data Analysis

2 hours to complete
5 videos (Total 27 min), 1 reading, 3 quizzes
Week4
Week 4
2 hours to complete

Model Development in R

2 hours to complete
7 videos (Total 38 min), 1 reading, 3 quizzes

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