About this Course

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100% online
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Intermediate Level
Approx. 14 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 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.
Intermediate Level
Approx. 14 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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