Master the most popular data science tools, learn about their usage and understand their basic and advanced features with the Data Science Tools course by edX.
01 Jul, 2025 - 30 Jan, 2026
Enrollment Date
The Data Science Tools certification course from IBM provides you with a background on popular data science and data visualisation tools, including RStudio IDE, Jupyter Notebooks, and Watson Studio. Learn about the proper usage of each tool and how data scientists utilise these tools today. You will also get to understand what programming languages the data science tools can execute and what limitations and features they possess.
The seven-week-long Data Science Tools programme is introductory and belongs to the Data Analysis and Statistics domain. Besides, the tools will be hosted in the cloud, and you will learn to follow instructions and test the tools to run simple code in R or Python. For finishing the training, you will complete a final project on IBM Watson Studio with a Jupyter Notebook on Cloud.
Moreover, you must demonstrate your expertise in writing Markdown, preparing a notebook, and sharing your work with peers. This hands-on Data Science Tools training will familiarise you with some of the most in-use, greatest, and latest data science tools. The course curriculum, divided into six modules, allows you to learn through lab sessions, assignments, graded quizzes, practice exercises, and more.
Learners may choose any track from the two mentioned ones: audit and verified. These tracks are self-paced and offer limited and unlimited accessor audit and verified tracks respectively.
Data Science Tools fee structure :
Course Name
Fees
Data Science Tools - Audit
Nil
Data Science Tools – Certificate
$ 99
Yes
IBM
$99
Applicants who pursue becoming Data Scientist.
As you finish the Data Science Tools certification syllabus, you will become proficient in the following tasks:
Step 1: The Data Science Tools online course page is accessible here: https://www.edx.org/learn/data-science/ibm-data-science-tools
Step 2: Peruse programme details, certificate information, and syllabus. After you’re done, choose a session and click on the red-coloured ‘Enroll Now’ option.
Step 3: You can either access the verified track or pick the free audit option.
Step 4: If you are an owner of an edX account, simply use your credentials to log in. In case you don’t have an account, you can start your account by providing your personal/professional email address or any other social credentials.
Step 5: As you create your account or sign in, you will successfully register for the training.
To enrol in the Data Science Tools classes course, if you are creating an edX profile, you'll have to provide your name, email address, and country of residence. Generate a unique password and username for future sessions. Besides your Microsoft or Apple credentials, Google credentials or your Facebook account can also help you sign in.
The Data Science Tools course benefits those in the domain of Data Analysis and Statistics and wishes to master the data visualisation and data science tools. With a hands-on approach, the training teaches you to use these tools hosted on Skills Network Labs. Besides, you will know how to create and share a Jupyter Notebook.
The edX Data Science Tools certificate also enhances your employment prospects, and you will learn directly from the experts at IBM.
Mr Romeo Kienzler Data Scientist IBM
Other Masters
Ms Svetlana Levitan Senior Developer IBM
M.S, Ph.D
Ms Maureen McElaney Developer Advocate IBM
It will comprise your instructors’ signatures, your name, edX logo, partner university logo, unique certification ID, and the Data Science Tools course name.
The Data Science Tools online course is mentored by Romeo Kienzler, who is the Chief Data Scientist at IBM; Svetlana Levitan, who is the Senior Developer Advocate with IBM Center.
Since the certification is shareable, you can link it to your CV/resume, put it on your LinkedIn profile, share it on social media, etc.
The programme is a seven-week course.
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