IBM
Applied Data Science with R Specialization
IBM

Applied Data Science with R Specialization

Build Your Data Science Skills with R & SQL. Master the ability to transform data into information and insights.

Rav Ahuja
Saishruthi Swaminathan
Yan Luo

Instructors: Rav Ahuja

5,996 already enrolled

Included with Coursera Plus

Get in-depth knowledge of a subject
4.5

(155 reviews)

Beginner level

Recommended experience

2 months
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.5

(155 reviews)

Beginner level

Recommended experience

2 months
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Perform basic R programming tasks like working with data structures, data manipulation, using APIs, webscraping, and using R Studio and Jupyter.

  • Create relational databases and tables, load them with data from CSV files, and query data using SQL and R using JupyterLab.

  • Complete the data analysis process, including data preparation, statistical analysis, and predictive modeling.

  • Communicate data analysis findings with data visualization charts, plots, and dashboards using libraries such as ggplot, leaflet and R Shiny.

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English

See how employees at top companies are mastering in-demand skills

Placeholder

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from IBM
Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

Specialization - 5 course series

Introduction to R Programming for Data Science

Course 110 hours4.5 (523 ratings)

What you'll learn

  • Manipulate primitive data types in the R programming language using RStudio or Jupyter Notebooks.

  • Control program flow with conditions and loops, write functions, perform character string operations, write regular expressions, handle errors.

  • Construct and manipulate R data structures, including vectors, factors, lists, and data frames.

  • Read, write, and save data files and scrape web pages using R.

Skills you'll gain

Category: Data Science
Category: Linear Regression
Category: Data Visualization
Category: R Programming
Category: Exploratory Data Analysis

SQL for Data Science with R

Course 227 hours4.3 (159 ratings)

What you'll learn

  • Create and access a database instance on the cloud

  • Compose and execute basic SQL statements - SELECT, INSERT, UPDATE, DELETE, CREATE, DROP

  • Construct SQL statements to filter, sort, group results, use built-in functions, compose nested queries, access multiple tables

  • Analyze data from Jupyter using R and SQL by combining SQL and R skills to query real-world datasets

Skills you'll gain

Category: Data Science
Category: R Programming

Data Analysis with R

Course 316 hours4.7 (321 ratings)

What you'll 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'll gain

Category: Data Science
Category: Data Analysis
Category: Statistical Analysis
Category: Data Visualization
Category: R Programming

Data Visualization with R

Course 412 hours4.6 (247 ratings)

What you'll learn

  • Create bar charts, histograms, pie charts, scatter plots, line graphs, box plots, and maps using R and related packages.

  • Design customized charts and plots using annotations, axis titles, text labels, themes, and faceting.

  • Create maps using the Leaflet package for R.

  • Create interactive dashboards using the Shiny package for R.

Skills you'll gain

Category: Data Science
Category: Data Analysis
Category: Data Visualization
Category: R Programming

Data Science with R - Capstone Project

Course 524 hours4.5 (83 ratings)

What you'll 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'll gain

Category: Data Science
Category: Data Analysis
Category: Select (Sql)
Category: Relational Databases (RDBMS)
Category: R Programming

Instructors

Rav Ahuja
IBM
53 Courses3,110,887 learners
Saishruthi Swaminathan
IBM
2 Courses319,437 learners

Offered by

IBM

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

New to Data Analysis? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions