Despite the recent increase in computing power and access to data over the last couple of decades, our ability to use the data within the decision making process is either lost or not maximized at all too often, we don't have a solid understanding of the questions being asked and how to apply the data correctly to the problem at hand.
Offered By
IBM
About this Course
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Learner Career Outcomes
34%
started a new career after completing these courses
37%
got a tangible career benefit from this course
11%
got a pay increase or promotion
Learner Career Outcomes
34%
started a new career after completing these courses
37%
got a tangible career benefit from this course
11%
got a pay increase or promotion
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Flexible deadlines
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Beginner Level
Approx. 7 hours to complete
Suggested: 3 weeks of study, 2 - 3 hours/week
English
Subtitles: English
Offered by
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.
Syllabus - What you will learn from this course
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 Business Understanding and Analytic Approach. Finally, through a lab session, you will also obtain how to complete the Business Understanding and the Analytic Approach stages and the Data Requirements and Data Collection stages pertaining to any data science problem.
3 hours to complete
5 videos (Total 19 min), 4 readings, 4 quizzes
4 readings
Syllabus10m
Introduction to CRISP-DM10m
Lesson Summary10m
Lesson Summary10m
2 practice exercises
From Problem to Approach10m
From Requirements to Collection10m
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 learn 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.
3 hours to complete
6 videos (Total 22 min), 3 readings, 4 quizzes
6 videos
Data Preparation - Concepts3m
Data Preparation - Case Study4m
Modeling - Concepts3m
Modeling - Case Study4m
Evaluation4m
3 readings
Correction10m
Lesson Summary10m
Lesson Summary10m
2 practice exercises
From Understanding to Preparation10m
From Modeling to Evaluation10m
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 applying it to a problem that you define.
3 hours to complete
3 videos (Total 10 min), 2 readings, 2 quizzes
2 readings
Lesson Summary10m
IBM Digital Badge2m
1 practice exercise
From Deployment to Feedback20m
Reviews
4.6
TOP REVIEWS FROM DATA SCIENCE METHODOLOGY
by AGMay 13, 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 JMFeb 26, 2020
Very informative step-by-step guide of how to create a data science project. Course presents concepts in an engaging way and the quizzes and assignments helped in understanding the overall material.
by TXMar 31, 2019
It just totally rebuilds my mind in thinking about how I should approach solving problems. I feel that I'm learning strong framework for an evidence-based logical approach. Just like a consultant.
by SJAug 8, 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...
Frequently Asked Questions
When will I have access to the lectures and assignments?
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.
What will I get if I subscribe to this Certificate?
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.
What is the refund policy?
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