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Course Content
Course Overview
0/2
Overview
03:14
Course Notes
Section 1: Introduction to Data Science
0/6
Lesson 1. Who can pursue this course?
12:06
Lesson 2. What is Data Science?
11:09
Lesson 3. Evolution of Data Science.
07:02
Lesson 4. Big Data vs Data Science
10:01
Lesson 5. Data Science vs Business Analytics
06:32
Lesson 6. Applications
09:32
Section 2: Introduction to Artificial Intelligence
0/4
Lesson 1. What is AI?
13:14
Lesson 2. Types of AI
10:06
Lesson 3. Branches of AI
11:33
Lesson 4. Pros and Cons of AI
11:38
Section 3: Machine Learning (ML)
0/4
Lesson 1. What is Machine Learning?
08:18
Lesson 2. Types of Machine Learning
15:23
Lesson 3. Supervised ML Algorithms
21:30
Lesson 4. Unsupervised ML Algorithms
13:16
Section 4: Applications of Data Science
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Lesson 1. Data Science Industry Applications
22:35
Lesson 2. Data Science Workflow
10:02
Lesson 3. Data Science Roles
12:51
Section 5: Data Science Tools
0/2
Lesson 1. What are the data science tools
06:57
Lesson 2. Different Data Science Tools
09:30
Final Exam
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Final exam
Fundamentals of Data Science and Machine Learning
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