Practical Predictive Analytics: Models and Methods
Master statistical experiment design and machine learning methods for effective predictive analytics and data science.
Course Cost
Free course
Intermediate
Skill Level
7 Hours
Self-paced lessons
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Data Science at Scale Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
What you'll learn
Design and analyze statistical experiments effectively
Apply resampling methods for robust statistical analysis
Implement classification methods of varying complexity
Master supervised and unsupervised learning techniques
Understand optimization methods including gradient descent
Skills you'll gain
This course includes:
4.83 Hours PreRecorded video
1 quiz
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate

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There are 4 modules in this course
This comprehensive course focuses on practical applications of statistical experiment design and analytics in data science. Students learn to design effective experiments, analyze results using modern methods, and apply machine learning techniques to real-world problems. The curriculum covers statistical inference, supervised and unsupervised learning, and optimization methods. Through hands-on exercises in R programming, learners develop skills in implementing predictive analytics solutions and understanding common pitfalls in statistical arguments.
Practical Statistical Inference
Module 1 · 2 Hours to complete
Supervised Learning
Module 2 · 2 Hours to complete
Optimization
Module 3 · 41 Minutes to complete
Unsupervised Learning
Module 4 · 1 Hours to complete
Fee Structure
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.




