Data Science Professional Certificate
Learn key data science essentials, including R and machine learning, through real-world case studies to jumpstart your career as a data scientist
This course is part of The Professional Certificate® Programme in Data Science. The courses in this series are:
Data Science R Basics:
Build a foundation in R and learn how to wrangle, analyze, and visualize data.
Data Science Visualisation:
Learn basic data visualization principles and how to apply them using ggplot2.
Data Science Probability:
Learn probability theory — essential for a data scientist — using a case study on the financial crisis of 2007–2008.
Data Science Inference and Modelling:
Learn inference and modeling, two of the most widely used statistical tools in data analysis.
Data Science Productivity Tools:
Keep your projects organized and produce reproducible reports using GitHub, git, Unix/Linux, and RStudio.
Data Science Wrangling:
Learn to process and convert raw data into formats needed for analysis.
Data Science Linear Regression:
Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science.
Data Science Machine Learning:
Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.
Data Science Capstone:
No Need to Travel
1 April 2019
1-2 hrs effort per week/course
- 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
This course is part of The Professional Certificate® Programme in Digital Marketing. The courses in this series are:
Fundamentals of Digital Marketing, Social Media, and E-Commerce
Build the marketing skills you need to succeed in the Digital Economy from Wharton, consistently ranked #1 globally for marketing education.
Marketing Analytics: Data Tools and Techniques
Learn how to measure, manage and analyse customer data to make effective marketing decisions.
Managing the Value of Customer Relationships
Learn how to identify your most valuable customers to develop and implement customer-centric strategies and maximize their strategic value.
Selling Ideas: How to Influence Others, and Get Your Message to Catch On
Learn how to use social media and word of mouth to spread your message and grow your business.