About this Course

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Flexible deadlines
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Shareable Certificate
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Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Intermediate Level
Approx. 26 hours to complete
English

What you will learn

  • Write a web scraping program to extract data from an HTML file using HTTP requests and convert the data to a data frame.

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

  • Interpret datawithexploratory data analysis techniques by calculating descriptive statistics, graphing data, and generating correlation statistics.

  • Build a Shiny app containing a Leaflet map and an interactive dashboard then create a presentation on the project to share with your peers.

Skills you will gain

  • Data Science
  • R Programming
  • Data Visualization (DataViz)
  • Linear Regression
  • Exploratory Data Analysis
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. 26 hours to complete
English

Offered by

Placeholder

IBM Skills Network

Syllabus - What you will learn from this course

Week1
Week 1
4 hours to complete

Module 1 - Capstone Overview and Data Collection

4 hours to complete
2 videos (Total 4 min)
Week2
Week 2
4 hours to complete

Module 2 - Data Wrangling

4 hours to complete
1 video (Total 3 min)
Week3
Week 3
4 hours to complete

Module 3: Performing Exploratory Data Analysis with SQL, Tidyverse & ggplot2

4 hours to complete
1 video (Total 2 min)
Week4
Week 4
6 hours to complete

Module 4: Predictive Analysis

6 hours to complete
1 video (Total 2 min)

Frequently Asked Questions

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