Big Data: How It Helps, How It Hurts
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Big Data: How It Helps, How It Hurts

Learn how big data helps and how It hurts.
3.5 (5 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
101 students enrolled
Created by The Great Courses
Last updated 5/2015
English
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Includes:
  • 1.5 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Discover just how big the world of data is and how data analysis impacts us in surprising and unprecedented ways.
  • Learn how data analysis enables us to predict, with better accuracy and higher probability, many aspects of the future.
  • Understand the basic stages of data analysis and see how this knowledge benefits not only large corporations but also your personal life.
  • Get a better understanding of the immense power and infinite possibilities of data analysis as it gives us insight into the real world in ways that were never possible before.
  • Debunk myths and clear up misconceptions that many people have about big data and data analysis.
View Curriculum
Requirements
  • No prior knowledge is required
Description

Data is everywhere, shedding light on all aspects of life. Retailers know what's selling and who's buying. Pollsters test opinions on everything from candidates to consumer goods. Doctors follow their patients' vital signs. Social networks register the interactions of millions. Sensors measure the changing weather. And as athletes play, fans collect exhaustive statistics on their performance.

Big Data: How Data Analytics Is Transforming the World introduces you to the key concepts, methods, and accomplishments of this versatile approach to problem solving. Taught by Professor Tim Chartier, an award-winning Associate Professor of Mathematics and Computer Science at Davidson College, these lessons give you the big picture on big data, highlighting the crucial role of data analytics in today's world and the even greater impact it will have in the future.

Who is the target audience?
  • People in business, government, science, and other endeavors, who want a view into what data analytics can do for them.
  • People considering, or already pursuing, work with data and aspiring to explore the full scope of their remarkable field
  • Anyone who relies on the Internet, smart phones, social media, or other tools that make them a participant in the data analytics revolution.
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Curriculum For This Course
Expand All 24 Lectures Collapse All 24 Lectures 01:40:57
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Data Analytics – What’s the Big Idea?
7 Lectures 29:58

The world is already producing a terabyte of new data, per person, every year? That's Big Data! In this video, Prof. Chartier introduces you to the world of Big Data and explains how the field of data analysis impacts us in unprecedented ways.

Preview 03:20

In the Digital Age, data analysis is our window to the unknown. It enables us to predict, with better accuracy and higher probability, many aspects of the future. Watch to learn more.

Preview 05:36

The size of big datasets has created the need for new data analysis methods. This is because Big Data is often defined as having 3 Vs: volume, velocity, and variety. In this video, Prof. Chartier speaks about two of them—volume and velocity.

Preview 04:04

In this video, Prof. Chartier speaks about the final V of big data—variety. Watch the video to learn more about variety and its significance in the context of historical data.
Variety: The Final V that defines Big Data
03:30

In the real world, we can't easily compute optimal solutions for complex problems. However, data analysis holds immense power and infinite possibilities. This video explains how data analysis helps us in the real world.
Data Analysis in the Real World—Complex Problems and Optimal Solutions
04:37

Does data analysis give you AN answer or THE answer? There are several misconceptions about data analysis. In this video, Prof. Chartier shares a few common misconceptions.
The Top Three Misconceptions about Data Analysis
04:14

We often expect to obtain data in the format required for our analysis, but our expectation may be unrealistic. This video sheds light on some other misconceptions about data analysis.
Notable Misconceptions about Data Analysis
04:37
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Got Data? What Are You Wondering About?
6 Lectures 24:09
Data analysis benefits not only large organizations but also individuals. Watch as Prof. Cartier explains personal data analysis and its advantages.
How Data Analysis Benefits You
04:34

While gathering data is worthwhile, data automatically does not mean insight. Having a clear goal makes a huge difference! This video sheds light on this critical aspect of data analysis.
Having a Clear Goal: The Key to Data Analysis
04:01

Today, several devices give us information, such as our heart rate, and generate data for analysis. In this video, Prof. Chartier shares the example of Stephen Wolfram—CEO, Wolfram Research—who used simple techniques to gather data about his own life, gain insight, and make necessary changes.
Applying Data Analysis to Personal Life: The Story of Stephen Wolfram
03:47

Data Analysis can be applied to anything that interests you. For instance, watch this video to see how your social network on Facebook can be analyzed.
Surprising Social Insights: Analyzing the Data from Your Social Network
03:22

This video presents another striking example of the power of data analysis. Watch the video to learn how the gathering and analyzing data helped the coaching staff of the men's basketball team at Davidson College.
Benefits of Data Analysis in Sports
03:59

In this video, Prof. Chartier discusses the basic stages of data analysis. Watch the video to learn how this knowledge can be applied to your personal life.

The Stages of Data Analysis and You
04:26
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Quantifying Quality on the World Wide Web
5 Lectures 21:21
Have you wondered how Google analyzes data to form its search results? In this video, Prof. Chartier explains Google's underlying algorithm, PageRank, which has revolutionized the Internet and helped us find accurate information online.
PageRank: Google’s Revolutionary Search Algorithm Explained
04:22

How did the founders of Google create an intelligent search engine? In this video, Prof. Chartier answers this question by discussing the idea of endorsement, interconnectedness of online pages, and data analytics.

Google’s Measure of Data Quality for Search Results
04:07

Does Google's PageRank work for any data on the web? In this video, Prof. Chartier puts to rest all burgeoning doubts by explaining Perron's Theorem and the idea of teleportation.

Google’s PageRank for Big Data, the Idea of Teleportation, and Perron’s Theor
04:39

How did JC Penny outperform other competitors in the market? Can big data be exploited for vested interests? Watch the video to understand how some businesses have exploited Google's algorithm for their own benefits.

JC Penney and Google: A Case Study on Big Data
03:07

This video shows how “Internet politics” can alter the information we find online. Learn about link farms and Google bombing in the complex world of data analytics and search engine results.
Link Farms and Google Bombing: Influencing Data Analytics
05:06
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Challenges of Privacy and Security
6 Lectures 25:29
Is it difficult to keep personal data secure? What can be done to improve security? In this video, Prof. Chartier asks basic questions about data security, and cites the example of Netflix who shared the personal data of its customers and compromised their privacy.
The Netflix Issue: How Secure Is Our Personal Data on the Internet?
04:48

What is Facebook doing with our data anyway? In this video, Prof. Chartier explores Facebook's 2007 feature Beacon, data security issues, the advantages of procuring big data, and the tangible benefits to businesses.

Facebook, Big Data, and Benefits to Businesses
04:36

Prof. Chartier discusses the US National Security Agency and data security issues. He also informs us about the consequences of classified information disclosures.

The Snowden Effect: Data Security, Espionage, and the US National Security Ag
03:26

Your first step to ensuring data security is to create a strong password. Watch this video to learn why it is important to create strong, secure passwords.

Strong Passwords: The First Line of Defense in Data Security
04:38

Companies are constantly finding new ways to keep their data secure. In this video, you will learn about a few new security approaches: virtual private networks (VPN), cryptography, and anonymity.
Companies and Data Security in the Digital Age
04:22

In 2014, President Barack Obama announced a comprehensive review of big data and privacy. A few critical questions were: How much data should businesses share with each other or the government? How much data should businesses or the government share with the rest of us? This video sheds light on the government's policy review of big data and privacy.

How Does the Government Make Your Data More Secure?
03:39
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