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Introduction to Data Science for Educators
University of California, Riverside via FutureLearn
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Overview
Learn how to apply data science to different teaching disciplines This eight-week course will you grasp the core concepts of data science. With this knowledge, youll be able to understand and teach more specialised topics to your students. Youll also gain a deep understanding of the application of data science in STEM disciplines, learn how to teach similar courses, and discover how you can utilise data science in your curriculum. Delve into database management, data mining, and integration Raw data...
Syllabus
- Introduction to Data Science
- Introduction to Data Science
- What You Need to Know to Become a Data Scientist
- Examples of Data Science
- The Data Science Process
- Data Science Process: The Beginning
- Data File Formats
- Processes Involved in Data Science
- Introduction to Machine Learning
- What is Machine Learning?
- Types and Examples of Machine Learning
- Statistics & Probability - Introduction of Bayes Probability and K-Nearest Neighbors
- Probability: An Introduction and Bayes Probability
- K-Nearest Neighbors (KNN)
- Statistics & Probability - Introduction of Regression and Gradient Descent
- Statistics: An Introduction
- Regression
- Gradient Descent
- Logistic Regression
- Introduction of Data Mining
- Data Mining: An Introduction
- Tools in Data Mining
- Examples of Data Mining
- Introduction of Big Data
- Big Data: An Introduction
- Market for Big Data
- Efficient Management of Big Data
- Big Data Tools
- Visualization in Data Science
- Understanding Data through Visualization
- Aesthetics of Visualization
- Types of Visualization
- What We've Learned
University of California, Riverside via FutureLearn
2 hours
$134.00 Certificate Available
English
On-Demand
Beginner
Instructor
University of California, Riverside
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