IBM Data Science Professional Certificate

Earn an employer-recognized certification in data science with a program designed by experts at IBM. Launch your career confidently in as little as 5 months through Nexford’s hands-on learning and expert mentorship.

Pre-requisites: Beginner level. No previous experience required.

Start date: Begin November 1 for just .


IBM Data Science Professional Certificate Overview


Complete an IMB data science certificate in as little as 5 months.


15 hours per week which fits into your schedule so you can prepare for your future at your own pace.


100% online with engaging study groups and mentorship sessions so you stay inspired and on track for success.


Pay tuition monthly at a cost of , or prepay for the entire course and secure a 15% discount.

The global demand for data professionals is surging

With a projected 28% growth in data science roles by 2026, this means approximately 11.5 million new opportunities for data scientists. Moreover, 96% of companies are currently planning to hire individuals with big data skills.

Why choose Nexford for your Professional Certificate

Expert-Designed Curriculum

The IBM data science certification is designed by seasoned experts at IBM and delivered with the academic rigor and attention to practical application that Nexford is renowned for.

Unparalleled Mentorship

At Nexford, you're never alone in your learning journey. You'll receive continuous guidance, insights, and support from our experienced mentors who make sure you grasp even the most complex data science concepts with clarity.

Success-Oriented Approach

Our dedicated success advisors are there every step of the way, offering guidance, resources, and strategies to ensure you reach your career and learning objectives efficiently.


Local Currency

We understand the varied economic landscapes our students come from. That's why Nexford allows payment in your local currency, easing the financial journey for our diverse global learners.

Location-Free Career

Our IMB data science certification prepares you to thrive in data science roles, whether local or remote, ensuring you're competitive in job markets irrespective of your geographical location.

You will learn

Data Preparation

Data Preparation

Understand how to import and cleanse datasets, preparing them for in-depth analysis.

Data Analysis

Data Analysis

Dive into data to uncover patterns, drawing on powerful visualization tools to inform strategic decision-making.

Dynamic Dashboards

Dynamic Dashboards

Craft and customize dynamic data dashboards, turning raw data into intuitive visual stories.

Predictive Analytics

Predictive Analytics

Implement cutting-edge classification algorithms to predict outcomes, tapping into the predictive power of machine learning.

IBM Data Science Professional Certificate: Courses

    Discover the world of data science, including its applications in business. Learn about key concepts such as machine learning, deep learning, and neural networks, and how data scientists use these to analyze data and draw meaningful conclusions.


    Learn about the most popular tools in Data Science, including Libraries & Packages, Data Sets, Machine Learning Models, and Kernels. This course provides hands-on experience with popular Data Science tools, including Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio.


    Learn a common methodology that can be used within data science, to ensure that the data used in problem solving is relevant and properly manipulated to address the question at hand. This course will cover the 6 stages of the CRISP-DM methodology, the most popular methodology for data science and data mining problems.


    This course provides an introduction to Python, taking you from zero knowledge to programming in Python. You will use Python to create programs, work with data, and automate real-world tasks.


    In this course you will demonstrate foundational skills for working with data using Python. On completion of the course, you will have an impressive project for your portfolio.


    This course will provide solid working knowledge of SQL (Structured Query Language). You will learn foundational SQL statements and advanced concepts, culminating in a final project in which you will analyze multiple real-world datasets.


    Learn how to analyze data with Python, an essential skill for Data Scientists and Data Analysts. You will learn how to build and evaluate data models, perform exploratory data analysis (EDA), and create meaningful data visualizations that demonstrate findings. This course also covers how to build machine learning models for predictive analysis.


    Learn how to tell a compelling story by visualizing data to convey insights derived from data analysis. You will learn how to create basic and advanced graphs and charts, as well as interactive dashboards, to enable effective and informed decision-making.


    This course provides a hands-on introduction to machine learning. You will learn how to build, evaluate, and compare machine learning models using different algorithms.


    In this course, you will work on a practical project, simulating the tasks of a Data Scientist working for a startup. You will follow the Data Science methodology, including data collection, data wrangling, exploratory data analysis, data visualization, model development, model evaluation, and reporting your results to stakeholders.


    Gain skills to strategically search for a job that aligns with your career goals. This proctored course introduces the knowledge and techniques to prepare, plan, and execute a modern job search in a global market. Learn how to develop a personal brand; prepare an effective resume or CV, cover letter, and LinkedIn profile; build a strong professional network; and successfully interview for roles that can help you launch your future career.

    EMP1001 View Course

In-Demand Career Options in Data Science

Data Scientist

Data Architect

Data Analyst

Data Engineer

Business Intelligence Analyst

IBM Data Science Professional Certificate FAQ

Data science is the process of collecting, storing, and analyzing data. Data scientists use data to tell compelling stories to inform business decisions. Learn more about what data science is and what data scientists do in the first course of this Professional Certificate, "What is Data Science?"

Completion of this certificate program provides you with special access to join the IBM Talent Network, which provides you with notifications of job opportunities as soon as they are posted, as well as the tools, tips, and tricks for landing a job with IBM and other companies.

Yes. The IBM Data Science Professional Certificate has secured a credit recommendation from the American Council on Education's (ACE) Credit Recommendation, which is the industry standard for translating workplace learning to college credit. 

Learners can earn a recommendation of 12 college credits for completing the program, and Nexford will award 12 college credits toward a relevant degree program. This aims to help open up additional pathways to learners who are interested in higher education and prepare them for entry-level jobs.