Big Data: How Data Analytics Is Transforming the World

Overview

Investigate the information revolution that is changing everything from marketing to medical care, and learn how to leverage big data in your business and personal life. This course, offered in 24 insightful lectures, introduces key concepts, methods, and successful applications of data analytics, making it accessible to everyone regardless of mathematical background. Led by Professor Tim Chartier, learn how data analysis can have a transformative impact.

Course Instructor

Professor Tim Chartier, a professor of mathematics and computer science, shares his passion for data analytics, providing engaging case studies that illustrate the concepts and practical applications of data analysis in various fields.

Video Lessons

1. Data Analytics-What’s the “Big” Idea?
   • Duration: 36 min
   • Description: Explore the transformative power of data analytics and common misconceptions.

2. Got Data? What Are You Wondering About?
   • Duration: 32 min
   • Description: Learn how to utilize data analysis in everyday life.

3. A Mindset for Mastering the Data Deluge
   • Duration: 32 min
   • Description: Discover strategies to effectively manage overwhelming amounts of data.

4. Looking for Patterns-and Causes
   • Duration: 29 min
   • Description: Study pattern recognition and the significance of correlations.

5. Algorithms-Managing Complexity
   • Duration: 31 min
   • Description: Understand how algorithms simplify problem-solving in data analysis.

6. The Cycle of Data Management
   • Duration: 29 min
   • Description: Learn the stages of data management from gathering to action.

7. Getting Graphic and Seeing the Data
   • Duration: 28 min
   • Description: Explore the importance of effective graphics in presenting data.

8. Preparing Data Is Training for Success
   • Duration: 30 min
   • Description: Learn how to prepare data accurately to ensure reliable outcomes.

9. How New Statistics Transform Sports
   • Duration: 33 min
   • Description: Discover the role of data analytics in sports using the Moneyball case.

• Political Polls-How Weighted Averaging Wins
  • Duration: 32 min
  • Description: Explore how big data is used to predict election outcomes.

11. When Life Is (Almost) Linear-Regression
    • Duration: 30 min
    • Description: Learn about linear regression analysis and its applications.

12. Training Computers to Think like Humans
    • Duration: 31 min
    • Description: Delve into AI and how computers learn to make human-like decisions.

• Anomalies and Breaking Trends
  • Duration: 32 min
  • Description: Understand the significance of outliers in data analysis.

14. Simulation-Beyond Data, Beyond Equations
    • Duration: 30 min
    • Description: Explore simulations as a method for modeling complex behaviors.

• Overfitting-Too Good to Be Truly Useful
  • Duration: 31 min
  • Description: Learn about the dangers of overfitting in predictive models.

16. Bracketology-The Math of March Madness
    • Duration: 31 min
    • Description: Use mathematical strategies to excel in NCAA tournament predictions.

17. Quantifying Quality on the World Wide Web
    • Duration: 30 min
    • Description: Discover how search engines revolutionized internet navigation.

• Watching Words-Sentiment and Text Analysis
  • Duration: 34 min
  • Description: Analyze text data for cultural and business insights.

19. Data Compression and Recommendation Systems
    • Duration: 33 min
    • Description: Study data compression techniques and their role in recommendation algorithms.

20. Decision Trees-Jump-Start an Analysis
    • Duration: 31 min
    • Description: Explore decision trees through analysis of Titanic survival data.

• Clustering-The Many Ways to Create Groups
  • Duration: 32 min
  • Description: Investigate clustering techniques to uncover relationships in data.

• Degrees of Separation and Social Networks
  • Duration: 31 min
  • Description: Test the theory of six degrees of separation using social networks.

23. Challenges of Privacy and Security
    • Duration: 33 min
    • Description: Examine privacy concerns in the age of big data and surveillance.

• Getting Analytical about the Future
  • Duration: 35 min
  • Description: Focus on predictive analytics and formulate future forecasts based on learned tools.