About this Course

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100% online
Start instantly and learn at your own schedule.
Intermediate Level
Approx. 13 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.

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

  • Develop a predictive model using various regression methods.

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

Skills you will gain

Data ScienceStatistical AnalysisR ProgrammingData AnalysisData 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.
Intermediate Level
Approx. 13 hours to complete
English

Offered by

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IBM

Syllabus - What you will learn from this course

Week
1

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
Week
2

Week 2

2 hours to complete

Data Wrangling

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

Week 3

2 hours to complete

Exploratory Data Analysis

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

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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