Professional Certificate in Data Science
Course Features
Duration
17 months
Delivery Method
Online
Available on
Limited Access
Accessibility
Desktop, Laptop
Language
English
Subtitles
English
Level
Beginner
Effort
3 hours per week
Teaching Type
Self Paced
Course Description
Course Overview
International Faculty
Case Based Learning
Post Course Interactions
Case Studies,Instructor-Moderated Discussions
Case Studies, Captstone Projects
Skills You Will Gain
Prerequisites/Requirements
There are no prerequisites for the first course, but the later courses assume knowledge from the prior courses in the series
What You Will Learn
Fundamental R programming skills
Statistical concepts such as probability, inference, and modeling and how to apply them in practice
Gain experience with the tidyverse, including data visualization with ggplot2 and data wrangling with dplyr
Become familiar with essential tools for practicing data scientists such as Unix/Linux, git and GitHub, and RStudio
Implement machine learning algorithms
In-depth knowledge of fundamental data science concepts through motivating real-world case studies
Course Instructors