About this Professional Certificate
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.
What you'll 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.
| From | IBM via edX |
|---|---|
| Hours | 62 |
| Instructors | Rav Ahuja, Gabriela de Queiroz, Tiffany Zhu, Yiwen Li, Saishruthi Swaminathan, Yan Luo, Jeff Grossman |
| Language | English |
| Subjects | Data Science |
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Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
AD, Data Science $47k
Associate Data Science Supervisor $55k
Science writer / data analyst $63k
Genomic Data Science Programmer $75k
Volunteer Director of Data Science $78k
Expert Data Science Supervisor $79k
Supervisor 1 Data Science Supervisor $91k
Guest Director of Data Science $101k
Data Science Architect $105k
Head of Data Science $131k
Assistant Director 1 of Data Science $133k
Owner Director of Data Science $149k
Courses in this Professional Certificate
Listed in the order in which they should be taken
| Starts | Course Information | |
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On Demand |
A majority of the world's data resides in databases. SQL (or Structured Query Language) is a powerful language for communicating with and extracting data from databases. A working... edX | IBM |
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On Demand |
The R programming language is purpose-built for data analysis. R is the key that opens the door between the problems you want to solve with data and the answers you need to meet... edX | IBM |
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On Demand |
In this course, you will learn about the Grammar of Graphics, a system for describing and building graphs, and how the ggplot2 data visualization package for R applies this... edX | IBM |
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On Demand |
R Data Science Capstone Project In this capstone course, you will apply various data science skills and techniques that you have learned as part of the previous courses in the IBM Data Science with R or IBM Data... edX | IBM |
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On Demand |
R Programming Basics for Data Science The R language plays a critical role in data analysis and a common programming language when working in the field of data science & analytics. This course will introduce you to R... edX | IBM |
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| From | IBM via edX |
|---|---|
| Hours | 62 |
| Instructors | Rav Ahuja, Gabriela de Queiroz, Tiffany Zhu, Yiwen Li, Saishruthi Swaminathan, Yan Luo, Jeff Grossman |
| Language | English |
| Subjects | Data Science |
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
AD, Data Science $47k
Associate Data Science Supervisor $55k
Science writer / data analyst $63k
Genomic Data Science Programmer $75k
Volunteer Director of Data Science $78k
Expert Data Science Supervisor $79k
Supervisor 1 Data Science Supervisor $91k
Guest Director of Data Science $101k
Data Science Architect $105k
Head of Data Science $131k
Assistant Director 1 of Data Science $133k
Owner Director of Data Science $149k
Similar Courses
Sorted by relevance
