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Our Courses
Digital Humanities in Practice: From Research Questions to Results
Combine literary research with data science to find answers in unexpected ways. Learn basic coding tools to help save time and draw insights from thousands of digital documents at once.
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Course by
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Self Paced
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14
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English
MLOps2 (AWS): Data Pipeline Automation & Optimization using Amazon Web Services
Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how to automate your pipeline’s functions and continuously optimize its performance, which is why we developed this course - MLOps2 (AWS): Data Pipeline Automation & Optimization using Amazon Web Services.
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Course by
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English
MLOps1 (GCP): Deploying AI & ML Models in Production using Google Cloud Platform
Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how data engineers can effectively work with data scientists to monitor and iterate on model performance, which is why we developed this course: MLOps1 (GCP) - Deploying AI & ML Models in Production using Google Cloud Platform
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Course by
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Self Paced
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26
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English
MLOps1 (Azure): Deploying AI & ML Models in Production using Microsoft Azure Machine Learning
Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how data engineers can effectively work with data scientists to monitor and iterate on model performance, which is why we developed this course: MLOps1 (Azure) - Deploying AI & ML Models in Production using Microsoft Azure Machine Learning
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Course by
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Self Paced
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28
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English
MLOps1 (AWS): Deploying AI & ML Models in Production using Amazon Web Services
Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how data engineers can effectively work with data scientists to monitor and iterate on model performance, which is why we developed this course: MLOps1 (AWS) - Deploying AI & ML Models in Production using Amazon Web Services.
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Course by
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35
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English
Data Science for Construction, Architecture and Engineering
This course introduces data science skills targeting applications in the design, construction, and operations of buildings. You will learn practical coding within this context with an emphasis on basic Python programming and the Pandas library.
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Course by
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5
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English
Ethics in AI and Data Science
Learn how to build and incorporate ethical principles and frameworks in your AI and Data Science technology and business initiatives to add transparency, build trust, drive adoption, and lead with trust and responsibility.
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18
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English
R Data Science Capstone Project
Apply various data analysis and visualization skills and techniques you have learned by taking on the role of a data scientist working with real-world data sets.
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21
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English
SQL for Data Science with R
Build a baseline understanding about relational database concepts and learn how to apply foundational knowledge of the SQL and R languages through a series of hands-on labs to practice building and running SQL queries.
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21
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English
R Programming Basics for Data Science
This course introduces you to R language fundamentals and covers common data structures, programming techniques, and how to manipulate data all with the help of the R programming language.
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13
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English
Python Basics for Data Science
This Python course provides a beginner-friendly introduction to Python for Data Science. Practice through lab exercises, and you'll be ready to create your first Python scripts on your own!
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English
Data Science and Machine Learning Capstone Project
Create a project that you can use to showcase your Data Science skills to prospective employers. Apply various data science and machine learning techniques to analyze and visualize a data set involving a real life business scenario and build a predictive model.
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Course by
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28
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English
Data Science Tools
Learn about the most popular data science tools, including how to use them and what their features are.
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7
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English
The Data Science Method
Learn about the methodology, practices and requirements behind data science to better understand how to problem solve with data and ensure data is relevant and properly manipulated to address a variety of real-world projects and business scenarios.
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English
Introduction to Data Science
Learn about the world of data science first-hand from real data scientists.
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Self Paced
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33
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English
SQL for Data Science
Learn how to use and apply the powerful language of SQL to better communicate and extract data from databases - a must for anyone working in the data science field.
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Course by
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27
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English
Introduction to SQL
Learn how to use and apply the powerful language of SQL to better communicate and extract data from databases - a must for anyone working in Data Engineering, Data Analytics or Data Science.
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15
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English
Introduction to Designing Data Lakes on AWS
In this class, we will help you understand how to create and operate a data lake in a secure and scalable way, without previous knowledge of data science!
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Course by
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Self Paced
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6
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English
Collaborative Data Science for Healthcare
Data and learning should be at the front and center of healthcare delivery. In this course, we bring together computer scientists, health providers and social scientists collaborating to improve population health by analyzing and mining data routinely collected in the process of patient care.
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English
Introduction to Computational Thinking and Data Science
6.00.2x is an introduction to using computation to understand real-world phenomena.
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English
Principles, Statistical and Computational Tools for Reproducible Data Science
Learn skills and tools that support data science and reproducible research, to ensure you can trust your own research results, reproduce them yourself, and communicate them to others.
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25
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English
Data Science: Capstone
Show what you've learned from the Professional Certificate Program in Data Science.
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44
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English
Data Science: Machine Learning
Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.
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25
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English
Data Science: Linear Regression
Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science.
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35
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English
Programming for Data Science
Learn how to apply fundamental programming concepts, computational thinking and data analysis techniques to solve real-world data science problems.
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English