Design Thinking and Predictive Analytics for Data Products
This is the second course in the four-course specialization Python Data Products for Predictive Analytics, building on the data processing covered in Course 1 and introducing the basics of designing predictive models in Python. In this course, you will understand the fundamental concepts of statistical learning and learn various methods of building predictive models. At each step in the specialization, you will gain hands-on experience in data manipulation and building your skills, eventually culminating in a capstone project encompassing all the concepts taught in the specialization.
Monthly Subscription Starting at AED 99 + VAT
- Level Professional
- المدة 8 ساعات hours
- الطبع بواسطة University of California San Diego
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Offered by
عن
This is the second course in the four-course specialization Python Data Products for Predictive Analytics, building on the data processing covered in Course 1 and introducing the basics of designing predictive models in Python. In this course, you will understand the fundamental concepts of statistical learning and learn various methods of building predictive models. At each step in the specialization, you will gain hands-on experience in data manipulation and building your skills, eventually culminating in a capstone project encompassing all the concepts taught in the specialization.الوحدات
Course Information
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3
Readings
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1
Discussion
1
Discussions
- What do you hope to get out of taking this course?
3
Readings
- Syllabus
- Course Materials
- Set Up Your System
Recap: Mathematical Notation
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1
Readings
1
Readings
- Recap: Mathematical Notation
Supervised Learning
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2
Videos
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1
Assignment
1
Assignment
- Review: Supervised Learning
2
Videos
- Introduction to Supervised Learning
- Supervised Learning: Regression
Regression
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3
Videos
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1
Assignment
1
Assignment
- Review: Regression
3
Videos
- Regression in Python
- Time-Series Regression
- Autoregression
Week 1 Assessment
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1
Discussion
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1
Assignment
1
Assignment
- Supervised Learning & Regression
1
Discussions
- What are some applicable uses of regression in the world today?
Features
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4
Videos
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1
Readings
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2
Assignment
2
Assignment
- Review: Getting Features
- Review: Working with Features
4
Videos
- Features from Categorical Data
- Features from Temporal Data
- Feature Transformations
- Missing Values
1
Readings
- Supplementary Notebook for Features
Week 2 Assessment
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1
Assignment
1
Assignment
- Features
Classification
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4
Videos
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2
Assignment
2
Assignment
- Review: Classification and K-Nearest Neighbors
- Review: Logistic Regression and Support Vector Machines
4
Videos
- Supervised Learning: Classification
- Classification: Nearest Neighbors
- Classification: Logistic Regression
- Introduction to Support Vector Machines
Week 3 Assessment
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1
Discussion
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1
Assignment
1
Assignment
- Classification
1
Discussions
- What are some applicable uses of classification in the world today?
More on Classification
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2
Videos
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1
Assignment
1
Assignment
- Review: Classification and Training
2
Videos
- Classification in Python
- Introduction to Training and Testing
Gradient Descent
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3
Videos
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1
Assignment
1
Assignment
- Review: Gradient Descent
3
Videos
- Gradient Descent in Python
- Gradient Descent in TensorFlow
- Livecoding: Tensorflow
Week 4 Assessment
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1
Assignment
1
Assignment
- More on Classification
Project 2: Making Predictions From Data
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2
Readings
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1
Discussion
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1
PeerReview
1
Peer Review
- Project Submission
1
Discussions
- What is something you learned from doing this final project?
2
Readings
- Project Description
- Where to Find Datasets
Auto Summary
Enhance your data science skills with "Design Thinking and Predictive Analytics for Data Products." This professional-level course, led by Coursera, dives into designing predictive models using Python. Over 480 minutes, you'll explore statistical learning, data manipulation, and hands-on model building. Ideal for individuals aiming to advance in predictive analytics, with subscription options available for both Starter and Professional levels.
Julian McAuley
Ilkay Altintas