About this Course

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Intermediate Level
Approx. 8 hours to complete
English
Subtitles: English

Skills you will gain

Artificial Intelligence (AI)Machine LearningFeature EngineeringStatistical Hypothesis TestingExploratory Data Analysis
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 8 hours to complete
English
Subtitles: English

Offered by

IBM logo

IBM

Syllabus - What you will learn from this course

Week
1

Week 1

1 hour to complete

A Brief History of Modern AI and its Applications

1 hour to complete
8 videos (Total 47 min), 2 readings, 3 quizzes
8 videos
Introduction to Artificial Intelligence and Machine Learning5m
Machine Learning and Deep Learning10m
History of AI7m
History of Machine Learning and Deep Learning5m
Modern AI6m
Applications3m
Machine Learning Workflow6m
2 readings
Course Prerequisites4m
Summary/Review3m
3 practice exercises
Check for Understanding5m
Check for Understanding5m
Module 1 Quiz5m
3 hours to complete

Retrieving Data, Exploratory Data Analysis, and Feature Engineering

3 hours to complete
15 videos (Total 138 min), 5 readings, 5 quizzes
15 videos
Demo: Reading Data Demo Jupyter Notebook7m
Lab Solution: Reading in Database Files5m
Data Cleaning6m
Handling Missing Values and Outliers10m
EDA - Part 15m
EDA - Part 212m
Solution: EDA Notebook - Part 15m
Solution: EDA Notebook - Part 210m
Solution: EDA Notebook - Part 36m
Solution: EDA Notebook - Part 48m
Feature Engineering and Variable Transformation - Part 18m
Feature Engineering and Variable Transformation - Part 211m
Solution: Feature Engineering Lab - Part 111m
Solution: Feature Engineering Lab - Part 212m
5 readings
Demo: Reading in Database Files (Activity)10m
Lab: Reading in Database Files (Activity)10m
Exploratory Data Analysis Lab (Activity)10m
Feature Engineering Demo (Activity)10m
Summary/Review3m
5 practice exercises
Check for Understanding5m
Check for Understanding5m
Check for Understanding5m
Check for Understanding5m
Module 2 Quiz5m
Week
2

Week 2

3 hours to complete

Inferential Statistics and Hypothesis Testing

3 hours to complete
10 videos (Total 83 min), 2 readings, 4 quizzes
10 videos
Estimation and Inference - Part 210m
Estimation and Inference - Part 35m
Hypothesis Testing8m
Type 1 vs Type 2 Error9m
Significance Level and P-Values - Part 17m
Significance Level and P-Values - Part 25m
Hypothesis Testing Demo - Part 15m
Hypothesis Testing Demo - Part 210m
Correlation vs Causation9m
2 readings
Hypothesis Testing Demo (Activity)10m
Summary/Review3m
3 practice exercises
Check for Understanding5m
Check for Understanding5m
Module 3 Quiz5m

About the IBM Introduction to Machine Learning Specialization

This specialization will help you realize the potential of machine learning in a business setting. There will be a focus on helping you gain the skills that will help you succeed in a career in machine learning and data science. You will be able to realize the potential of machine learning and artificial intelligence in different business scenarios. You will also be able to identify when to use machine learning to explain certain behaviors and when to use it to predict future outcomes. You will also learn how to evaluate your machine learning models and to incorporate best practices....
IBM Introduction to Machine Learning

Frequently Asked Questions

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  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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