IBM
Data Science
Develop an end-to-end understanding of data science from foundational methodologies to applied machine learning. Advance in your current role, or pivot to a new career in data science.
Start date
01 October 2025
Course duration
10 weeks
Language
English
Access resources from start date
Effort
12 hours per week
Self-paced learning online
Technical Microcredential Overview
Balance the structure of cohort-based learning with the flexibility of self-paced modules on a state-of-the-art platform designed to support your success at every step.
Establish a truly comprehensive understanding of data science and develop advanced skills in data modeling and machine learning for immediate application to your current or desired data science role.
Course duration: 10 weeks (Excluding orientation)
What Is a Technical Microcredential?
A technical microcredential is a short, flexible course designed to quickly build in-demand skills for the modern workforce. These affordable, cohort-based courses blend live instruction with self-paced learning to deliver an impactful way to upskill, developed in collaboration with top universities and industry leaders. Students benefit from peer interaction and networking opportunities within a supportive, engaged cohort.
About the IBM Data Science Microcredential
The IBM data science course is a microcredential designed for busy professionals looking to rapidly develop a comprehensive set of data science skills, from the foundations of data collection to applied machine learning.
By taking an end-to-end approach, this microcredential curriculum prepares you to work with big data technologies, apply advanced statistical and analytical techniques, and develop machine learning models — all with a programming focus on Python. You’ll also engage with the ethical responsibilities of a data scientist or data analyst role.
Over the course of the curriculum, you’ll gain hands-on experience with industry-standard tools and technologies, all in a flexible and supportive online format. During each module, you’ll have the chance to learn independently, as well as opportunities to share knowledge with your cohort.
Is This Technical Microcredential For You?
This course is a technical microcredential, meaning it’s designed for working professionals to quickly acquire a set of industry-ready skills — not those pursuing a full degree.
This Data Science microcredential is purpose-built for ambitious mid-career business professionals seeking an end-to-end understanding of data science to either advance in a current data-related career or pivot into the field of data science. This microcredential would be a good fit for you if you have some experience in data and code and you’re ready to move beyond reporting into data modeling, automation, and applied machine learning. Alternatively, if you don’t have any data science experience, you can use the course to establish a foundation in data and coding and make a career change to data science or ML engineering.
Ideal for resource-conscious students, the curriculum delivers high-impact, up-to-date content with a quick turnaround. Expect live instruction, small cohorts, and credentials backed by a trusted industry leader. It’s flexible, on-demand learning without compromising on quality.
Technical Microcredential Overview
About this course
Course duration: 10 weeks (Excluding orientation)
What Is a Technical Microcredential?
A technical microcredential is a short, flexible course designed to quickly build in-demand skills for the modern workforce. These affordable, cohort-based courses blend live instruction with self-paced learning to deliver an impactful way to upskill, developed in collaboration with top universities and industry leaders. Students benefit from peer interaction and networking opportunities within a supportive, engaged cohort.
About the IBM Data Science Microcredential
The IBM data science course is a microcredential designed for busy professionals looking to rapidly develop a comprehensive set of data science skills, from the foundations of data collection to applied machine learning.
By taking an end-to-end approach, this microcredential curriculum prepares you to work with big data technologies, apply advanced statistical and analytical techniques, and develop machine learning models — all with a programming focus on Python. You’ll also engage with the ethical responsibilities of a data scientist or data analyst role.
Over the course of the curriculum, you’ll gain hands-on experience with industry-standard tools and technologies, all in a flexible and supportive online format. During each module, you’ll have the chance to learn independently, as well as opportunities to share knowledge with your cohort.
Is This Technical Microcredential For You?
This course is a technical microcredential, meaning it’s designed for working professionals to quickly acquire a set of industry-ready skills — not those pursuing a full degree.
This Data Science microcredential is purpose-built for ambitious mid-career business professionals seeking an end-to-end understanding of data science to either advance in a current data-related career or pivot into the field of data science. This microcredential would be a good fit for you if you have some experience in data and code and you’re ready to move beyond reporting into data modeling, automation, and applied machine learning. Alternatively, if you don’t have any data science experience, you can use the course to establish a foundation in data and coding and make a career change to data science or ML engineering.
Ideal for resource-conscious students, the curriculum delivers high-impact, up-to-date content with a quick turnaround. Expect live instruction, small cohorts, and credentials backed by a trusted industry leader. It’s flexible, on-demand learning without compromising on quality.
Get this course for your team
Leading organisations recognise the value of this course and invest in it to enhance their employees' skills and expertise.
What will set you apart
Explored how to apply advanced data science methodologies and tools. 
Investigated the programming languages commonly used in data science, including SQL and Python.
Applied critical thinking and problem solving skills to analyze complex datasets and derive actionable insights.
Created and deployed machine learning models for practical applications.
Executed comprehensive data science projects from start to finish.Curriculum for the IBM Online Data Science Course
Orientation module
Welcome to your Online Campus
Module 1
Data Science Methodologies
Module 2
Using Python for Data Science
Module 3
Python Fundamentals and Data
Module 4
SQL for Data Science
Module 5
Using Python to Analyze Data
Module 6
Data Visualization Using Python
Module 7
Introduction to Machine Learning with Python
Module 8
Supervised and Unsupervised Machine Learning Models
Module 9
Capstone Project 1: Data Collecting, Wrangling, and Analysis
Module 10
Capstone Project 2: Presenting Data-Driven Insights
Course Design
IBM Data Science
The design of this online technical microcredential is guided by IBM, in collaboration with leading practitioners at the forefront of their fields, whose experience and in-depth knowledge will guide you throughout the learning experience.
Download the prospectus to learn more about this technical microcredential.
About the Certificate
Develop in-demand skills for the growing data science industry1 and earn an official certificate of completion from IBM.
Assessment is continuous and based on a series of practical assignments completed online. In order to be issued with your digital certificate, you’ll need to meet the requirements outlined in the technical microcredential handbook. The handbook will be made available to you as soon as you begin the technical microcredential.
1U.S. Bureau of Labor Statistics. (Apr, 2025).
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We deliver market-led courses that equip working professionals with the expertise required to upskill, reskill or kickstart a completely new career. Through a data-driven approach, we analyze future skills requirements and ensure all courses address this need. We ensure that leading universities and institutions are your expert guides and our people, technology, and resources are your engine – together we power more than just education, we power your potential.
Read more about GetSmarter here and edX here.
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Payment options
You can pay your course fees before the course starts, or you may opt for a split payment plan on courses that are nine weeks and shorter. For courses 10 weeks and longer, there is a three-part payment plan available. To find out more about payment options please visit our Payment and Financing page, or contact an Enrollment Adviser, to find out which option you qualify for.
Manage your time
GetSmarter's learning model is designed to help you, as a working professional, improve your skills without compromising on work and family responsibilities. The course work is broken up into weekly, manageable bite-sized modules, with incremental deadlines, designed to help you pace yourself over the duration of the course and allow you the legroom to work when it suits you best.
At the beginning of each module you'll be presented with the course content and assignments necessary for completion. You also have access to your Success Adviser who will help you manage your time, and support you with any administrative or technical queries you might have.
Seek employer assistance
By improving your skills and industry knowledge, you'll have an influence on the success of your organization. Why wouldn't you ask your boss to help you fund your studies if it's going to have an impact on the way you do business?
Of our past students, 37 percent have received financial assistance from their employers. You can ask for help, too. Here is a guide to show you how to request financial assistance from your employer.
If you are a Learning & Development (L&D) manager, or involved in training and upskilling for an organization, you can request information regarding our corporate offering on our GetSmarter for business page.
How to change your start date
As part of our commitment to your professional development, GetSmarter offers you a two-week period to change your course start date or request your money back if you’re not fully satisfied.
To qualify for a deferral of your course start date, or to cancel your enrollment and receive a refund of your course fee, your request would need to reach our Success Advisers before the release of Module 2. For more information, please read our Terms and Conditions.
Discover the Online Campus
The Online Campus will be your virtual classroom for the duration of your course. Through its easy-to-use interface you'll have access to a diverse variety of course content formats including: interactive videos, module notes, practice quizzes, presentations, assignment briefs, and additional web resources.
On the Online Campus, you'll also be able to ask questions and interact with your fellow students and teaching team through the discussion forums. If you are looking for your Online Campus login, please visit your Account page here.
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