Foundations of Data Science: Prediction and Machine Learning

Online Course

edX
Foundations of Data Science: Prediction and Machine Learning

What is the course about?

Foundations of Data Science: Prediction and Machine Learning
The course Foundations of Data Science: Prediction and Machine Learning is an online class provided by University of California, Berkeley through edX. The skill level of the course is Introductory. It may be possible to receive a verified certification or use the course to prepare for a degree.
Learn how to use machine learning, with a focus on regression and classification, to automatically identify patterns in your data and make better predictions.
Course description
One of the principal responsibilities of a data scientist is to make reliable predictions based on data. When the amount of data available is enormous, it helps if some of the analysis can be automated. Machine learning is a way of identifying patterns in data and using them to automatically make predictions or decisions. In this data science course, you will learn basic concepts and elements of machine learning.The two main methods of machine learning you will focus on are regression and classification. Regression is used when you seek to predict a numerical quantity. Classification is used when you try to predict a category (e.g., given information about a financial transaction, predict whether it is fraudulent or legitimate).For regression, you will learn how to measure the correlation between two variables and compute a best-fit line for making predictions when the underlying relationship is linear. The course will also teach you how to quantify the uncertainty in your prediction using the bootstrap method. These techniques will be motivated by a wide range of examples. For classification, you will learn the k-nearest neighbor classification algorithm, learn how to measure the effectiveness of your classifier, and apply it to real-world tasks including medical diagnoses and predicting genres of movies. The course will highlight the assumptions underlying the techniques, and will provide ways to assess whether those assumptions are good. It will also point out pitfalls that lead to overly optimistic or inaccurate predictions.

Prerequisites & Facts

Foundations of Data Science: Prediction and Machine Learning

Course Topic

Computer Science, Data Analysis and Statistics

University, College, Institution

University of California, Berkeley

Course Skill Level

Introductory

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

Degree & Cost

Foundations of Data Science: Prediction and Machine Learning

To obtain a verified certificate from edX / University of California, Berkeley you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate (99.00 USD) or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
University of California, Berkeley
Foundations of Data Science: Prediction and Machine Learning
provided by edX

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School: University of California, Berkeley
Topic: Computer Science, Data Analysis and Statistics
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