The Data Science Companion provides an introduction to data science. You will gain a quick background in data science and core machine learning concepts, such as regression and classification. You’ll be introduced to the practical knowledge of data processing and visualization using low-code solutions, as well as an overview of the ways to integrate multiple tools effectively to solve data science problems. You will then leverage cloud resources from Amazon Web Services to scale data processing and accelerate machine learning model training. By the end of this short course, you will have a high-level understanding of important data science concepts that you can use as a foundation for future learning.
Data Science Companion
Data Science Companion
Taught in English
Beginner level
Recommended experience
1 hour to complete
Flexible schedule
Learn at your own pace
What you'll learn
Background in data science & core machine learning concepts, such as regression & classification, data processing, & visualizations
Ways to integrate multiple tools effectively to solve data science problems
Leverage cloud resources from AWS to scale data processing & accelerate machine learning model training
Skills you'll gain
Details to know
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Assessments
1 quiz
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There are 4 modules in this course
Explore or refresh your knowledge of the core purpose of data science and the two main categories of machine learning models, regression and classification.
What's included
5 videos
Perform core tasks in data processing and visualization, experimenting with different options with the help of interactive, graphical tools, before committing to a solution in code.
What's included
3 videos
Leverage the benefits of combining multiple tools to solve a data science problem.
What's included
2 videos
Scale the processing of large data sets and speed up the training time of machine learning models in MATLAB by using cloud resources available from Amazon Web Services.
What's included
3 videos1 quiz
Instructor
Offered by
Recommended if you're interested in Data Analysis
Coursera Project Network
SkillUp EdTech
University of California San Diego
Johns Hopkins University
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Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.