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Applied Data Science with R

IBM via Coursera Specialization


This Specialization is intended for anyone with a passion for learning who is seeking to develop the job-ready skills, tools, and portfolio to have a competitive edge in the job market as an entry-level data scientist. Through these five online courses, you will develop the skills you need to bring together often disparate and disconnected data sources and use the R programming language to transform data into insights that help you and your stakeholders make more informed decisions. By the end of this Specialization, you will be able to perform basic R programming tasks to complete the data analysis process, including data preparation, statistical analysis, and predictive modeling. You will also be able to create relational databases and query the data using SQL and R and communicate your data findings using data visualization techniques.


Course 1: Introduction to R Programming for Data Science
- Offered by IBM Skills Network. When working in the data science field you will definitely become acquainted with the R language and the role ... Enroll for free.

Course 2: SQL for Data Science with R
- Offered by IBM Skills Network. Much of the world's data resides in databases. SQL (or Structured Query Language) is a powerful language ... Enroll for free.

Course 3: Data Analysis with R
- Offered by IBM Skills Network. The R programming language is purpose-built for data analysis. R is the key that opens the door between the ... Enroll for free.

Course 4: Data Visualization with R
- Offered by IBM Skills Network. In this course, you will learn the Grammar of Graphics, a system for describing and building graphs, and how ... Enroll for free.

Course 5: Data Science with R - Capstone Project
- Offered by IBM Skills Network. In this capstone course, you will apply various data science skills and techniques that you have learned as ... Enroll for free.


Taught by

Gabriela de Queiroz, Rav Ahuja, Saishruthi Swaminathan, Yan Luo and Yiwen Li


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