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You’ll master the skills necessary to become a successful Data Scientist. You’ll work on projects designed by industry experts, and learn to run data pipelines, design experiments, build recommendation systems, and deploy solutions to the cloud.
If you already have experience with machine learning, take this program.
Solving Data Science Problems
Learn the data science process, including how to build effective data visualizations, and how to communicate with various stakeholders.
Software Engineering for Data Scientists
Develop software engineering skills that are essential for data scientists, such as creating unit tests and building classes.
Data Engineering for Data Scientists
Learn to work with data through the entire data science process, from running pipelines, transforming data, building models, and deploying solutions to the cloud.
Experiment Design and Recommendations
Learn to design experiments and analyze A/B test results. Explore approaches for building recommendation systems.
Data Science Projects
Leverage what you’ve learned throughout the program to build your own open-ended Data Science project. This project will serve as a demonstration of your valuable abilities as a Data Scientist.
Who is this course for?
Business Analytics ? Predictive Analytics for Business
This path is for anyone who wishes to pursue career roles in data, without adding and/or relying on programming skills to do so. This path targets one specific role: Business Analyst.
Programming for Data Science ? Data Analyst ? Data Scientist ? Data Engineer
These paths for anyone who wishes to pursue career roles in data, and who wants to incorporate relevant programming skills into their skill set. There are three career roles you target here: Data Analyst, which is a two-step path, Data Scientist, which is a three-step path, and Data Engineer, which is a two-step path.
We recommend students are familiar with machine learning concepts, like those in the Intro to Machine Learning Nanodegree Program. In addition, students should be familiar with Python programming, probability, and statistics.
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