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Professional Certificate in
Applied Data Science with R

What you will learn

  • Perform basic R programming tasks such as using common data structures, data manipulation, using APIs, webscraping, and working with R Studio and Jupyter.
  • Create relational databases and query the data using SQL and R from JupyterLab.
  • Complete the data analysis process, including data preparation, statistical analysis, and predictive modeling.
  • Communicate data findings using data visualization charts, plots, and dashboards using libraries such as ggplot, leaflet and R Shiny.
  • Demonstrate data analysis and visualization skills by completing a project that requires data collection, analysis, basic hypothesis testing, visualization, and modelling performed on real-world datasets.

Data Science and Data Analytics skills are in high demand and R is the programming language of choice for many data professionals. This Applied Data Science with R program emphasizes a hands-on approach to developing job-ready skills for analyzing and visualizing data using R.

You will start the program by learning the fundamentals of R language, including common data types and structures, and utilize it for basic programming and data manipulation tasks.

As you progress in the program, you will learn about relational database concepts and gain a foundational knowledge of the SQL language. You will access and analyze data in databases using R and SQL through Jupyter notebooks.

You will learn various data analysis techniques – from cleaning and refining data to developing, evaluating, and tuning , data science models. You will also learn how to tell a compelling story with data by creating graphs, visualizations, dashboards and interactive data applications.

In each course you will complete hands-on labs and projects to help you gain practical experience with data manipulation, analysis and visualization using a variety of datasets. You will work with tools like R Studio, Jupyter Notebooks, Watson Studio and related R libraries for data science, including dplyr, Tidyverse, Tidymodels, R Shiny, ggplot2, Leaflet, and rvest.

By the end of the program you will be able to apply the data science skills and techniques that you have accumulated and show case those skills in the R Data Science Capstone Project. involving a real-world dataset, and inspired by a real business challenge. This project will culminate in a presentation for reporting the results of data analysis with stakeholders.

A program subscription gives you full verified access to all courses and materials within the program you’ve enrolled in, for as long as your subscription is active. Monthly subscription pricing can help you manage your enrollment costs — instead of paying more up front, you pay a smaller amount per month for only as long as you need access. You can cancel your subscription at any time for no additional fee.

Expert instruction
5 skill-building courses
Progress at your own speed
6 months
1 - 2 hours per week
After 7-day free trial

Courses in this program

  1. IBM's Applied Data Science with R Professional Certificate

  2. 1–2 hours per week, for 5 weeks

    This course introduces you to R language fundamentals and covers common data structures, programming techniques, and how to manipulate data all with the help of the R programming language.

  3. 2–3 hours per week, for 6 weeks

    Build a baseline understanding about relational database concepts and learn how to apply foundational knowledge of the SQL and R languages through a series of hands-on labs to practice building and running SQL queries.

  4. 2–3 hours per week, for 6 weeks

    R is the key that opens the door between the problems you want to solve with data and the answers you need. This course walks you through the process of answering questions through data.

  5. 1–2 hours per week, for 4 weeks

    Learn about the ggplot2 data visualization package for R, creating map plots with geolocation data using Leaflet, and interactive dashboards to display your work on the web using the R Shiny package!

  6. 1–2 hours per week, for 4 weeks

    Apply various data analysis and visualization skills and techniques you have learned by taking on the role of a data scientist working with real-world data sets.

    • Data Analysts and Data Scientists are in demand, with 20% growth expected through 2028 (U.S. Bureau of Labor Statistics).
    • Over 2.5 Million jobs in data science and related professions (Burning glass).
    • Data Science and Analytics professionals earn average starting salaries of over $80,000 in the US.
    • R is the preferred programming language for statistical analysis in many organizations. More than 400,000 open job postings required R programming skill in the last two years.

Meet your instructors
from IBM

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$39/month USD

After a 7-day full access free trial. Cancel at any time.
This program subscription includes:
  • Immediate access to all 5 courses in this program
  • Course videos, lectures, and readings
  • Practice problems and assessments
  • Graded assignments and exams
  • edX learner support
  • Shareable verified certificates after successfully completing a course or program
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