What are some of the most popular data science tools, how do you use them, and what are their features? In this course, you'll learn about Jupyter Notebooks, RStudio IDE, Apache Zeppelin and Data Science Experience. You will learn about what each tool is used for, what programming languages they can execute, their features and limitations. With the tools hosted in the cloud on Cognitive Class Labs, you will be able to test each tool and follow instructions to run simple code in Python, R or Scala. To end the course, you will create a final project with a Jupyter Notebook on IBM Data Science Experience and demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers.
LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.
Open Source tools for Data Science
Offered By
IBM
Syllabus - What you will learn from this course
Week
13 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
1 practice exercise
Quiz 2 - Jupyter Notebooks30m
Week
23 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
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
34 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
674 Reviews43%
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
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!!!!
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
Polong Lin
Data ScientistIBM 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
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?
More questions? Visit the Learner Help Center.
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