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Digital Transformation: Advanced Data Science Course (3 Modules)
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Digital Transformation: Advanced Data Science Course Program Overview
Module 12: Advanced Big Data Analysis & Analytics
Module 12 Overview
Module 12 Symbol Legend
Lesson 1: The Big Data Analysis Lifecycle (18:58)
Exercise 12.1
Lesson 2: Statistical Analysis (12:21)
Lesson 3: Visual Analysis (16:19)
Lesson 4: Machine Learning (17:01)
Lesson 5: Semantic Analysis (9:24)
Exercise 12.2
Lesson 6: Big Data Technology Mechanisms (25:23)
Exercise 12.3
Module 13: Advanced Machine Learning
Module 13 Overview
Module 13 Symbol Legend
Lesson 1: Data Exploration Patterns (6:06)
Exercise 13.1
Lesson 2: Data Reduction Patterns (3:18)
Exercise 13.2
Lesson 3: Data Wrangling Patterns (9:00)
Exercise 13.3
Lesson 4: Supervised Learning Patterns (3:50)
Exercise 13.4
Lesson 5: Unsupervised Learning Patterns (6:06)
Exercise 13.5
Lesson 6: Model Evaluation Patterns (7:46)
Exercise 13.6
Lesson 7: Model Optimization Patterns (8:52)
Exercise 13.7
Supplement: Machine Learning Patterns and Mechanisms Mapping Reference Matrix
Module 14: Advanced Artificial Intelligence
Module 14 Overview
Module 14 Symbol Legend
Lesson 1: Data Wrangling Patterns (16:50)
Exercise 14.1
Lesson 2: Supervised Learning Patterns (16:53)
Exercise 14.2
Lesson 3: Unsupervised Learning Patterns (16:55)
Exercise 14.3
Lesson 4: Model Evaluation Patterns (12:10)
Exercise 14.4
Lesson 5: Model Optimization Patterns (14:54)
Exercise 14.5
Supplement: Artificial Intelligence Systems Neural Networks and Design Patterns Mapping Reference Matrix
Supplement: Artificial Intelligence Systems Problem Types and Design Patterns Mapping Reference Matrix
Supplement: Artificial Intelligence Systems Practices and Design Patterns Mapping Reference Matrix
Become a Certified Digital Transformation Data Scientist
Step 1 - Take the Self-Test (Optional)
Step 2 - Order and Schedule the Exam
Step 3 - Purchase Exam Prep Kit (Optional)
Add-Ons
Instructor-Led Training & Coaching Information
Online Coaching Order
Digital Training Badge (Acclaim/Credly)
Downloadable Digital Course Materials (PDFs)
Printed Course Materials
eLearning Study Kit Account
Supplement: Machine Learning Patterns and Mechanisms Mapping Reference Matrix
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