About this Course
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Flexible deadlines

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Beginner Level

Approx. 6 hours to complete

Suggested: 3 weeks of study, 2 - 3 hours/week...

English

Subtitles: English

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 6 hours to complete

Suggested: 3 weeks of study, 2 - 3 hours/week...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
3 hours to complete

From Problem to Approach and From Requirements to Collection

In this module, you will learn about why we are interested in data science, what a methodology is, and why data scientists need a methodology. You will also learn about the data science methodology and its flowchart.You will learn about the first two stages of the data science methodology, namely Data Requirements and Data Understanding. Finally, through a lab session, you will learn how to complete the Business Understanding and the Analytic Approach stages as well Data Requirements and Data Collection stages pertaining to any data science problem.

...
5 videos (Total 19 min), 1 reading, 4 quizzes
5 videos
Business Understanding5m
Analytic Approach3m
Data Requirements3m
Data Collection2m
1 reading
Syllabus10m
2 practice exercises
From Problem to Approach10m
From Requirements to Collection10m
Week
2
3 hours to complete

From Understanding to Preparation and From Modeling to Evaluation

In this module, you will learn what it means to understand data, and prepare or clean data. You will also lean about the purpose of data modeling and some characteristics of the modeling process. Finally, through a lab session, you will learn how to complete the Data Understanding and the Data Preparation stages as well as the Modeling and the Model Evaluation stages pertaining to any data science problem.

...
6 videos (Total 21 min), 1 reading, 4 quizzes
6 videos
Data Preparation - Concepts3m
Data Preparation - Case Study4m
Modeling - Concepts2m
Modeling - Case Study3m
Evaluation3m
1 reading
Correction10m
2 practice exercises
From Understanding to Preparation10m
From Modeling to Evaluation10m
Week
3
3 hours to complete

From Deployment to Feedback

In this module, you will learn about what happens when a model is deployed and why model feedback is important. Also, by completing a peer-reviewed assignment, you will demonstrate your understanding of the data science methodology by apply it to a problem that you define.

...
3 videos (Total 10 min), 1 reading, 2 quizzes
3 videos
Feedback3m
Course Summary3m
1 reading
IBM Digital Badge2m
1 practice exercise
From Deployment to Feedback20m
4.6
395 ReviewsChevron Right

30%

started a new career after completing these courses

36%

got a tangible career benefit from this course

12%

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Top reviews from Data Science Methodology

By AGMay 14th 2019

This is a proper course which will make you to understand each and every stage of Data science methodology. Lectures are well enough to make you think as a data scientist. Thank you fr this course :)

By SJAug 9th 2018

This is my favourite in the series, the 10 questions to be answered were mind opening. The repetition after every video makes easier for important points to stick to the brain. Very good indeed...

Instructors

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Alex Aklson

Ph.D., Data Scientist
IBM Developer Skills Network
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Polong Lin

Data Scientist
IBM Developer Skills Network

About IBM

IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame....

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Certificate, 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.

More questions? Visit the Learner Help Center.