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Digital Transformation: Fundamental Data Science Course (3 Modules)
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Digital Transformation: Fundamental Data Science Course Program Overview
Module 9: Fundamental Big Data Analysis & Analytics
Module 9 Overview
Module 9 Symbol Overview
Lesson 1: Understanding Data (5:39)
Exercise 9.1
Lesson 2: Introducing Big Data (12:31)
Exercise 9.2
Lesson 3: Understanding Data in Big Data Environments (6:41)
Lesson 4: Traditional Enterprise Technologies that Process Big Data (6:53)
Lesson 5: Introduction to Big Data Analysis (7:08)
Lesson 6: Introduction to Big Data Analytics (12:05)
Exercise 9.3
Lesson 7: Business Intelligence & Big Data (4:33)
Lesson 8: Data Visualization & Big Data (2:57)
Exercise 9.4
Lesson 9: Big Data Adoption & Planning Considerations (9:30)
Supplement: Big Data Science Fundamental Big Data Science & Analytics
Module 10A: Fundamental Machine Learning
Module 10A Overview
Module 10A Symbol Overview
Lesson 1: Understanding Machine Learning (20:09)
Exercise 10A.1
Lesson 2: Fundamental Terms and Concepts (8:03)
Exercise 10A.2
Lesson 3: How Machine Learning Works (4:22)
Exercise 10A.3
Lesson 4: Machine Learning Algorithms and Practices (24:43)
Exercise 10A.4
Lesson 5: How Machine Learning Systems Work (12:44)
Exercise 10A.5
Lesson 6: Machine Learning in the Industry (4:29)
Supplement: Machine Learning Algorithms and Practices Reference Supplement
Supplement: Patterns and Mechanisms Mapping Reference Matrix
Module 10B: Fundamental Predictive AI
Module 10B Overview
Module 10B Symbol Overview
Lesson 1: Understanding Predictive AI
Exercise 10B.1
Lesson 2: AI Functional Designs
Exercise 10B.2
Lesson 3: Data Fundamentals
Exercise 10B.3
Lesson 4: Models, Algorithms and Neural Networks
Exercise 10B.4
Lesson 5: Understanding Feedforward Neural Networks (FFNNs)
Lesson 6: Understanding Convolutional Neural Networks (CNNs)
Lesson 7: Understanding Recurrent Neural Networks (RNNs)
Lesson 8: Building Predictive AI Systems
Lesson 9: Predictive AI System Best Practices
Module 11: Fundamental Generative AI
Module 11 Overview
Module 11 Symbol Overview
Lesson 1: Understanding Generative AI
Exercise 11.1
Lesson 2: Models, Algorithms and Neural Networks
Exercise 11.2
Lesson 3: Training Generative Models
Exercise 11.3
Lesson 4: Understanding Generative Adversarial Networks (GANs)
Exercise 11.4
Lesson 5: Understanding Variational Autoencoders (VAEs)
Lesson 6: Understanding Transformers
Lesson 7: Building Generative AI Systems
Lesson 8: Generative AI Systems Best Practices
Become a Certified Digital Transformation Data Science Professional
Step 1 - Take the Self-Test (Optional)
Step 2 - Order the Certification Exam
Step 3 - Pass the Certification Exam
Add-Ons
Instructor-Led Training
Virtual Coaching
Printed Course Materials
Digital Transformation: Fundamental Data Science Course Program Overview
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