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Rav Ahuja, Yan Luo, Saishruthi Swaminathan, Tiffany Zhu, Yiwen Li, Gabriela de Queiroz, and Jeff Grossman

Prepare for the in-demand field of data analytics. In this program, you’ll learn high valued skills like Excel, Cognos Analytics, and R programming language to get job-ready in less than 3 months.

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Prepare for the in-demand field of data analytics. In this program, you’ll learn high valued skills like Excel, Cognos Analytics, and R programming language to get job-ready in less than 3 months.

Data analytics is a strategy-based science where data is analyzed to find trends, answer questions, shape business processes, and aid decision-making. This Professional Certificate focuses on data analysis using Microsoft Excel and R programming language. If you’re interested in using Python, please explore the IBM Data Analyst PC.

This program will teach you the foundational data skills employers are seeking for entry level data analytics roles and will provide a portfolio of projects and a Professional Certificate from IBM to showcase your expertise to potential employers.

You’ll learn the latest skills and tools used by professional data analysts and upon successful completion of this program, you will be able to work with Excel spreadsheets, Jupyter Notebooks, and R Studio to analyze data and create visualizations. You will also use the R programming language to complete the entire data analysis process, including data preparation, statistical analysis, data visualization, predictive modeling and creating interactive dashboards. Lastly, you’ll learn how to communicate your data findings and prepare a summary report.

This program is ACE® and FIBAA recommended—when you complete, you can earn up to 15 college credits and 4 ECTS credits.

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What's inside

Five courses

Introduction to R Programming for Data Science

(0 hours)
When working in the data science field, you will definitely become acquainted with the R language and the role it plays in data analysis. This course introduces you to the basics of the R language such as data types, techniques for manipulation, and how to implement fundamental programming tasks.

SQL for Data Science with R

(0 hours)
Much of the world's data is stored in databases. SQL (Structured Query Language) is a powerful language for communicating with and extracting data from databases. A working knowledge of databases and SQL is essential for data scientists.

Data Analysis with R

The R programming language is purpose-built for data analysis. This course starts with a question and then walks you through the process of answering it through data. You will learn important techniques for preparing your data for analysis and gain a better understanding of your data through exploratory data analysis. Once your data is ready to analyze, you will learn how to develop your model and evaluate and tune its performance.

Data Visualization with R

In this course, you will learn the Grammar of Graphics, a system for describing and building graphs, and how the ggplot2 data visualization package for R applies this concept to basic bar charts, histograms, pie charts, scatter plots, line plots, and box plots. You will also learn how to further customize your charts and plots using themes and other techniques.

Data Science with R - Capstone Project

In this capstone, you will apply data science skills and techniques to real-world datasets. You will collect, analyze, and model data, create visualizations, and build an interactive dashboard. The project culminates with a presentation of your data analysis report.

Learning objectives

  • Master the most up-to-date practical skills and knowledge data analysts use in their daily roles
  • Learn how to perform data analysis, including data preparation, statistical analysis, and predictive modeling using r, r studio, and jupyter
  • Utilize excel spreadsheets to perform a variety of data analysis tasks like data wrangling, using pivot tables, data mining, & creating charts
  • Communicate your data findings using various data visualization techniques including, charts, plots & interactive dashboards with cognos and r shiny

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