1.4 - Applications of Advanced Data Science
Enroll to start learning
You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
Practice Questions
Test your understanding with targeted questions
What is disease prediction in healthcare?
💡 Hint: Think about previous data and patient history.
What role do recommendation systems play in retail?
💡 Hint: How do these systems personalize shopping experiences?
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
Which of the following is an application of advanced data science in healthcare?
💡 Hint: Think about what industry utilizes data science for patient care solutions.
True or False: Algorithmic trading solely relies on human judgment.
💡 Hint: Consider how trading decisions are made in high frequency settings.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Design a marketing campaign for a new product using data science insights. Discuss how you would use customer segmentation in your strategy.
💡 Hint: Consider how past customer behavior informs future marketing approaches.
Evaluate the potential ethical challenges that arise with the use of sentiment analysis in social media — how can these challenges be addressed?
💡 Hint: Think about feelings vs. data representation and user consent.
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.
- Introduction to Machine Learning in Finance
- The Role of Data Science in Healthcare
- How Data Science is Transforming Retail
- Using Data Science to Optimize Logistics
- The Importance of Cybersecurity in the Data-Driven World
- Sentiment Analysis Explained
- Big Data and Machine Learning for Transportation
- Machine Learning for Self-Driving Cars