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Data Science and Analytics in Context

Learn the foundations of statistical thinking, the power of machine learning, and enabling technolog

Earn a Certificate

  • XSeries via edX and Columbia University
  • $347 for 3-4 months
  • 7-10 hours a week of effort
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Title
Data Science and Analytics in Context
Rating
☆☆☆☆☆ (0 Reviews)
Overview
Learn the foundations of statistical thinking, the power of machine learning, and enabling technologies for data science.
Credential Type
Provider
Institution
Cost
$347
Effort
7-10 hours a week
Duration
3-4 months

XSeries Program Overview

Data science is revolutionizing our world. In the Data Science and Analytics XSeries you will learn how statistics plays a central role, explore the principles of machine learning and importance of algorithms, and discuss enabling technologies including the rapidly growing Internet of Things. 

You should take this XSeries if you are seeking career advancement, want to understand what data science might do for your enterprise, or are just interested in learning how data is transforming society.

What You'll Learn

  • How data science is impacting our world
  • Probability and statistics
  • Data visualization
  • Algorithms
  • Machine learning
  • The Internet of Things
  • Natural language processing
  • Audio and video processing
★★☆☆☆ (18) Self paced
<p>This statistics and data analysis course will pave the statistical foundation for our discussion on data science.</p> <p>You will learn how data scientists exercise statistical thinking in designing data collection, derive insights from visualizing data, obtain supporting evidence for data-based decisions and construct models for predicting future trends from data.</p>
★★★☆☆ (15) 53 weeks Self paced
<p>Machine Learning is a growing field that is used when searching the web, placing ads, credit scoring, stock trading and for many other applications.</p> <p>This data science course is an introduction to machine learning and algorithms. You will develop a basic understanding of the principles of machine learning and derive practical solutions using predictive analytics. We will also examine why algorithms play an essential role in Big Data analysis.</p>
★☆☆☆☆ (5) 5 weeks Self paced
<p>The Internet of Things is rapidly growing. It is predicted that more than 25 billion devices will be connected by 2020.</p> <p>In this data science course, you will learn about the major components of the Internet of Things and how data is acquired from sensors. You will also examine ways of analyzing event data, sentiment analysis, facial recognition software and how data generated from devices can be used to make decisions.</p>
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