About this Course

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Learner Career Outcomes

67%

started a new career after completing these courses

57%

got a tangible career benefit from this course
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.
Advanced Level
Approx. 13 hours to complete
English
Subtitles: English, French, Arabic, Chinese (Simplified)

Learner Career Outcomes

67%

started a new career after completing these courses

57%

got a tangible career benefit from this course
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.
Advanced Level
Approx. 13 hours to complete
English
Subtitles: English, French, Arabic, Chinese (Simplified)

Offered by

IBM logo

IBM

Syllabus - What you will learn from this course

Week
1

Week 1

3 hours to complete

Week 1 - Identify DataSet and UseCase

3 hours to complete
1 video (Total 2 min), 7 readings, 2 quizzes
1 video
7 readings
A warm welcome10m
Overview of Architectural Methodologies for DataScience10m
Lightweight IBM Cloud Garage Method for Data Science10m
Data Sources and Use Cases10m
Initial Data Exploration10m
Architectural Decisions Document (ADD)10m
Process Model Guidelines10m
1 practice exercise
Milestones Checklist Week 1
Week
2

Week 2

3 hours to complete

Week 2 - ETL and Feature Creation

3 hours to complete
3 readings
3 readings
Extract Transform Load (ETL)10m
Data Cleansing10m
Feature Engineering10m
1 practice exercise
Milestones Checklist Week 2
Week
3

Week 3

2 hours to complete

Week 3 - Model Definition and Training

2 hours to complete
2 readings
2 readings
Model Definition10m
Model Training10m
1 practice exercise
Milestones Checklist Week 3
Week
4

Week 4

5 hours to complete

Model Evaluation, Tuning, Deployment and Documentation

5 hours to complete
5 readings
5 readings
Model Evaluation10m
Model Deployment10m
Data Product (optional)10m
Create ADD - Architectural Decisions Document10m
Create a Video of your final presentation10m
2 practice exercises
Milestones Checklist Week 4
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About the Advanced Data Science with IBM Specialization

As a coursera certified specialization completer you will have a proven deep understanding on massive parallel data processing, data exploration and visualization, and advanced machine learning & deep learning. You'll understand the mathematical foundations behind all machine learning & deep learning algorithms. You can apply knowledge in practical use cases, justify architectural decisions, understand the characteristics of different algorithms, frameworks & technologies & how they impact model performance & scalability. If you choose to take this specialization and earn the Coursera specialization certificate, you will also earn an IBM digital badge. To find out more about IBM digital badges follow the link ibm.biz/badging....
Advanced Data Science with IBM

Frequently Asked Questions

  • Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

    • The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
    • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
  • 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.

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

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