Design Thinking and Predictive Analytics for Data Products
Learn the design thinking and predictive analytics process for data products by joining Coursera.
Intermediate
Online
5 Weeks
1,699 INR Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
Design Thinking and Predictive Analytics for Data Products is an intermediate-level programme designed and offered entirely in online mode. The online certification programme is the second programme in the four-course Python Data Products for Predictive Analytics Specialization. Offered by Coursera, the Design Thinking and Predictive Analytics for Data Products Certification Course will discuss the fundamentals of designing predictive models in Python, the design thinking process, design thinking methodology, predictive analytics algorithms, predictive analytics tools, the basics of statistical learning and various methods of building predictive models.
Design Thinking and Predictive Analytics for Data Products Training is prepared and tutored by Julian McAuley and Ilkay Altintas, faculty members of the University of California San Diego. Design Thinking and Predictive Analytics for Data Products Certification by Coursera can also be pursued by learners who hail from non-English speaking backgrounds as the subtitles are available in the languages of Arabic, Vietnamese, German, Russian, French, Portuguese (European), Italian and Spanish. The practical exposure through the final projects also will be given to the students in the Design Thinking and Predictive Analytics for Data Products online course.
The Highlights
- Provided by Coursera
- Offered by the University of California San Diego
- Intermediate-level course
- Self-Paced Learning Option
- 100% Online Course
- Around 8 Hours to Complete
- Flexible Deadlines
- Shareable Certificate
- Financial Aid Available
Programme Offerings
- English videos with multiple subtitles
- Shareable Certificate
- Financial aid available
- Shareable Certificates
- Self-Paced Learning Option
- Course Videos & Readings
- practice quizzes
- Graded Assignments with peer feedback
- graded Quizzes with feedback.
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | UC San DiegoCoursera |
The fees for the course Design Thinking and Predictive Analytics for Data Products is -
| Head | Amount in INR |
| 1 month | Rs. 1,699 |
| 3 month | Rs. 3,499 |
| 6 month | Rs. 5,199 |
What you will learn
Design Thinking and Predictive Analytics for Data Products Certification Syllabus will render the learners the understanding of designing predictive models in Python and methods of building predictive models. Plus, the students will also be given practical insight into the topics through the financial project assigned as part of the programme.
Who it is for
Design Thinking and Predictive Analytics for Data Products Classes can be taken by anyone who wants to learn and explore the topics and aspects including the professionals like Managers, Entrepreneurs, Project Managers, Business Analysts, and whatnot.
Admission Details
Step 1 - Browse the official URL
https://www.coursera.org/learn/design-thinking-predictive-analytics-data-products
Step 2 - Start taking the course by choosing ‘Enroll Now’.
The Syllabus
Videos
- Introduction to Supervised Learning
- Supervised Learning: Regression
- Regression in Python
- Time-Series Regression
- Autoregression
Readings
- Syllabus
- Course Materials
- Set Up Your System
- Recap: Mathematical Notation
Practice Exercises
- Review: Supervised Learning
- Review: Regression
- Supervised Learning & Regression
Videos
- Features from Categorical Data
- Features from Temporal Data
- Feature Transformations
- Missing Values
Reading
- Supplementary Notebook for Features
Practice Exercises
- Review: Getting Features
- Review: Working with Features
- Features
Videos
- Supervised Learning: Classification
- Classification: Nearest Neighbors
- Classification: Logistic Regression
- Introduction to Support Vector Machines
Practice Exercises
- Review: Classification and K-Nearest Neighbors
- Review: Logistic Regression and Support Vector Machines
- Classification
Videos
- Classification in Python
- Introduction to Training and Testing
- Gradient Descent in Python
- Gradient Descent in TensorFlow
- Livecoding: Tensorflow
Practice Exercises
- Review: Classification and Training
- Review: Gradient Descent
- More on Classification
Readings
- Project Description
- Where to Find Datasets
Instructors
UC San Diego Frequently Asked Questions (FAQ's)
The online certification course was developed and offered by the University of California San Diego.
The instructors of the programme are Julian McAuley and Ilkay Altintas.
The online certification can be pursued by intermediate-level learners and audiences.
The online certification is part of Python Data Products for Predictive Analytics Specialization.
The subtitles for the online course content are available in languages of Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, and Spanish.