Data Science Companion at Coursera Overview
Data Science Companion
at Coursera
Duration | 1 hour |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Data Science Companion
Table of content
- Overview
- Highlights
- Course Details
- Curriculum
Data Science Companion at Coursera Highlights
Data Science Companion
at Coursera
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Beginner Level No background required.
- Approx. 1 hour to complete
- English Subtitles: English
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Data Science Companion at Coursera Course details
Data Science Companion
at Coursera
Skills you will learn
More about this course
- 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 will 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 at Coursera Curriculum
Data Science Companion
at Coursera
Background
Why Do You Need Data Science?
Introduction to Regression
Evaluating Regression Models
Introduction to Classification
Evaluating Classification Models
Low Code Solutions
Handling Missing Data
Plotting Geographic Data on Maps
Performing Group Calculations
Integrating with Other Tools
Using MATLAB with Python
Importing Spreadsheets with MATLAB
Scaling to the Cloud
Cloud Computing for Engineers and Scientists
Using Cloud Resources for Processing Data with MATLAB
Machine Learning with Parallel Computing
Final Knowledge Check
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