Big Data: How Data Analytics Is Transforming the World

Description
Discover how big data is reshaping industries, decision-making, and everyday life. This course explores the foundations of data analytics, from algorithms and visualization to privacy, prediction, and machine learning. Learn practical strategies to harness data effectively for business, science, and personal growth.

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Lessons Included

01: Data Analytics – What’s the “Big” Idea?
Explore the scope and power of data analytics across science, business, and medicine. Learn why this revolution is happening now and clear common misconceptions.
36 min

02: Got Data? What Are You Wondering About?
Learn how data analysis benefits not just corporations but individuals—improving health, finances, and daily choices.
32 min

03: A Mindset for Mastering the Data Deluge
Develop strategies to manage overwhelming information and filter what is most useful for effective decisions.
32 min

04: Looking for Patterns – and Causes
Understand how to distinguish real patterns from coincidences in large datasets.
29 min

05: Algorithms – Managing Complexity
Learn the power of algorithms, from simple sorting to web search applications.
31 min

06: The Cycle of Data Management
Follow the full lifecycle of data: storage, organization, integration, and analysis.
29 min

07: Getting Graphic and Seeing the Data
Master visualization techniques for uncovering insights while avoiding misleading graphics.
28 min

08: Preparing Data Is Training for Success
Discover the importance of data cleaning, using USPS as a case study.
30 min

09: How New Statistics Transform Sports
See how analytics changed baseball in “Moneyball” and its role in modern sports.
33 min

10: Political Polls – Weighted Averaging
Understand how poll aggregators like Nate Silver achieve accuracy in elections.
32 min

11: When Life Is (Almost) Linear – Regression
Explore regression analysis with Olympic sprint data and performance predictions.
30 min

12: Training Computers to Think like Humans
Learn how neural networks drive machine learning and AI applications.
31 min

13: Anomalies and Breaking Trends
Study anomaly detection in fraud prevention and trend analysis.
32 min

14: Simulation – Beyond Data, Beyond Equations
Explore simulation models in science, engineering, and entertainment.
30 min

15: Overfitting – Too Good to Be Useful
Avoid the pitfalls of overly complex models that mislead conclusions.
31 min

16: Bracketology – Math of March Madness
Apply data analytics to predict NCAA basketball outcomes.
31 min

17: Quantifying Quality on the Web
Learn how search engines evaluate web pages and fight ranking manipulation.
30 min

18: Watching Words – Sentiment & Text Analysis
Explore text mining in social media and literature for cultural insights.
34 min

19: Data Compression & Recommendation Systems
See how compression drives efficiency and improves online personalization.
33 min

20: Decision Trees – Jump-Start Analysis
Analyze Titanic survival data with decision tree models.
31 min

21: Clustering – Creating Groups
Discover clustering techniques with music datasets and beyond.
32 min

22: Degrees of Separation & Social Networks
Use graph theory to analyze human connections and networks.
31 min

23: Challenges of Privacy & Security
Understand the privacy risks of surveillance, internet use, and data misuse.
33 min

24: Getting Analytical About the Future
Learn predictive analytics to forecast trends and prepare for the future.
35 min