About this Course
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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

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

Introducing Skills Network Labs

This week, you will get an overview of the various data science tools available to you, hosted on Skills Network Labs. You will create an account and start exploring some of the features....
3 readings, 4 quizzes
3 readings
What is Skills Network Labs?10m
Account Features10m
Creating an account.10m
2 practice exercises
Practice Quiz2m
Quiz 1 - Skills Network Labs30m
2 hours to complete

Jupyter Notebooks

This week, you will learn about a popular data science tool, Jupyter Notebooks, its features, and why they are so popular among data scientists today....
2 videos (Total 6 min), 4 quizzes
2 videos
Getting started with Jupyter Notebooks4m
1 practice exercise
Quiz 2 - Jupyter Notebooks30m
Week
2
3 hours to complete

Apache Zeppelin Notebooks

This week, you will learn about Apache Zeppelin Notebooks, its feature, and how they are different from Jupyter Notebooks....
3 videos (Total 11 min), 3 quizzes
3 videos
Zeppelin for Scala3m
Getting started with Zeppelin5m
1 practice exercise
Quiz 3 - Zeppelin Notebooks30m
3 hours to complete

RStudio IDE

This week, you will learn about a popular data science tool used by R programmers. You'll learn about the user interface and how to use its various features....
4 videos (Total 12 min), 3 quizzes
4 videos
Uploading files, Installing packages and loading libraries in RStudio IDE3m
Getting started with RStudio IDE4m
RStudio Environment and History3m
1 practice exercise
Quiz 4 - RStudio IDE30m
Week
3
4 hours to complete

IBM Watson Studio

This week, you will learn about an enterprise-ready data science platform by IBM, called Watson Studio (formerley known as Data Science Experience). You'll learn about some of the features and capabilities of what data scientists use in the industry....
4 videos (Total 10 min), 2 readings, 2 quizzes
4 videos
Creating an account on IBM Watson Studio (Data Science Experience)1m
Jupyter notebooks on Watson Studio (Data Science Experience) - Part 1/23m
Jupyter Notebooks on IBM Watson Studio (Data Science Experience) - Part 2/24m
2 readings
Preface: What is IBM Watson Studio (formerly Data Science Experience)?5m
Lab - IBM Watson Studios
1 practice exercise
Quiz 5 - IBM Watson Studio30m
3 hours to complete

Project: Create and share a Jupyter Notebook

...
1 reading, 1 quiz
1 reading
IBM Digital Badge2m
4.6
658 ReviewsChevron Right

43%

started a new career after completing these courses

42%

got a tangible career benefit from this course

22%

got a pay increase or promotion

Top Reviews

By RRApr 25th 2019

To the contrast of other reviews, I find the content very well bifurcated and fed to the learners. The course very easily digestable and I have had a great amount of fun learning it.. Go for it!!!!

By SHFeb 1st 2019

All the tools required for ML kick starting was explained very clearly and it helped me a lot in building the understanding of what tools need to be learnt in the field of ML and Data Science.

Instructor

Avatar

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.