Program Overview

Initiate your learning journey by gaining a complete understanding of how data scientists think. Understand what approach they take to solve real-world problems.
Get an overview of the current data science scenario. Gain insights required to pursue a career in data science. Master popular data science tools: Jupyter Notebooks, RStudio IDE, and IBM Cloud. Become proficient in using the data science methodology to build, test, and train data models.
Learn how to work with Python, the most preferred language. Acquire skills to develop data science models and AI applications. Become proficient in various Python libraries like Pandas and NumPy. Develop a project in Python to test and demonstrate your skills.

Practice SQL exercises on real-world data sets to thoroughly understand the role of SQL and databases. Create impactful visual representations of data with Python data visualization libraries: Matplotlib, Seaborn, and Folium. Understand machine learning and master the usage of machine learning terms: Regression, Classification, and Clustering. Realize how machine learning will impact society.

IBM Capstone Project: Design and build a data model that endeavors to solve a real-world problem. Submit the ‘Data Science Model’ project to IBM for evaluation. Upon success, you will earn an IBM Data Science Professional Certificate.

How It Works

This IBM Professional Certificate program comprises nine carefully crafted courses sequenced in the form of a well-defined and tangible learning path. You can choose to enroll in the complete certification program or pick one course at a time. Each course completion takes you a step closer to earn an IBM Professional Certificate. Some of the courses may also qualify for other learning paths.

The learning path ends with the submission of a multi-faceted, ‘Capstone Project.’ Instill confidence in the prospective employer by showcasing your data science skills.
Successful completion of the Capstone Project is mandatory to earn the IBM Professional Certificate.

Course Curriculum
  • 86 Hands-on labs
  • Over 72 HOURS 45 MINUTES
    of hands-on labs
  • 189 Videos
  • 57 Quizzes
Exercises EXPLORE

  • Python

  • NumPy

  • Pandas

  • Matplotlib

  • GitHub

  • R Studio

  • IBM Cloud Db2

  • Jupyter Notebook

Skills You Will Gain:

  • Learn to build, test, and train data models.
  • Learn and practice Python Libraries: Pandas and NumPy.
  • Get a complete understanding of data science methodology.
  • Master Databases and SQL by practicing skills using real-world datasets.
  • Develop a deep understanding of how machine learning works using Sci-Kit and SciPy.
  • Gain in-depth knowledge of how data scientists solve real-world problems using data sets.
  • Acquire skills in Matplotlib, Seaborn, and Folium libraries to create impactful data visualizations.
  • Receive hands-on experience to implement data science tools: Jupyter Notebooks, RStudio IDE and, IBM Cloud.

IBM Data Science Professional Certificate - Outline

SkillUp Online Advantage

SkillUp Online Advantage is a multi-pronged approach that enables learners to:

  • Complete learning journey in stipulated time.
  • Achieve learning outcomes.
  • Apply and practice learning skills gained after the successful completion of the program.
  • Assisted Mentoring Services
    • The most sought-after blended learning services.
    • Highly specialized, committed, professionally certified, and empathetic course experts.
    • Interaction through customized discussion boards.
  • Personalized Mentoring Sessions
    • Online meeting sessions with the course expert.
    • Engagement with course experts of choice.
    • Agenda discussion with the course experts before the online meeting.
  • Enhanced Learning With Webinars
    • Calendarized, topic-based webinars and hands-on lab sessions.
    • Enhanced learning experience with quality knowledge.
    • Win awards and goodies by participating in Interactive and gamified events.
  • SME Sessions by Industry Practitioners
    • Time-to-time interaction with SME’s and Future-Technologies Practitioners.
    • Highly engaging SME events.
    • In-depth insights into how future technologies are being used in various industries.
  • Continuous Learning
    SkillUp Online live virtual CodeFests
    • Participate and win awards
    • Get a participation certificate
    More practice projects
    • Keep practicing on projects that course mentors keep deploying from time to time.

Enrollment Plans

Original Price - $441 USD
Special price - $399 USD

  • done

    Full Program Access for 9 Months

  • done

    IBM Professional Certificate upon Successful Program Completion

  • done

    Unlimited Discussion Board Support by Course Mentors

Original Price - $711 USD
Special price - $639 USD

  • done

    Silver +

  • done

    Personalized Mentoring – 9 One on One Sessions by Course Mentor (Mouse Over says – 1 Session every Month)

  • done

    Weekly Learning Updates with Personalized Guidance

  • done

    9 Live Classes

  • done

    Access to SKO’s Live Virtual Codefest Event*

*Live Virtual Codefest event will be organized towards the end of SKO’s IBM Prof Cert program for Gold & Platinum learners.

Original Price - $891 USD
Special price - $799 USD

  • done

    Gold +

  • done

    9 Webinars on Futuristic Technologies

  • done

    9 SME Sessions by Industry Practitioners

  • done

    Access to SKO’s Hands on Projects by Course Mentors*

*Access to SKO’s Hands on Projects by Course Mentors will be available upon successful completion of IBM Prof Cert Program


Data Science is the process of uncovering the insights and trends that are hiding behind data. It is a field about processes and systems that extract data from various forms of whether it is unstructured or structured.
Enrolling in a data science course will allow you to stay on top of the latest trends in the domain. Learning new skills is essential when it comes to expanding your knowledge base.
Here is the list of data science courses provided IBM:

1.Introduction to Data Science
2.Data Science Tools
3.The Data Science Method
4.SQL for Data Science
5.Python Basics for data science
6.Analyzing Data with Python
7.Visualizing Data with Python
8.Machine Learning with Python
9.Data Science with Machine Learning Capstone
You are welcome to enroll in all courses that you think will be interesting or helpful to your career. There are no limits.
You can try any course by enrolling in the free audit track. If you like the same and would love to get certification in it, you can enroll yourself as a verified learner.
There are no firm prerequisites when taking any individual courses, although some are certainly more advanced than others. Suggested Information about the knowledge necessary to follow a course can be found on the right side of the course registration page.
Yes, you can still enroll! Many of our self-paced courses can be joined months after the start date.
There is no course book available here. All the content is available online on our platform.
To earn a certificate, you will have to upgrade to the verified track and reach a passing score before the course's end date.
Yes, once you successfully complete all 8 courses and 1 capstone project, you will receive IBM Data Science Professional Certificate.
Yes, you can take up the course using your smartphone or tablet.
Every course has an end date to it. To earn a certificate on the verified track, you will need to have a passing score by the end date.
No, the marks will not be written on the certificate.
You can have complete access to videos and reading material until the course end date.
The course is self-paced. The complete course content is mentioned on the course dashboard. Once enrolled, you can start the course.

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