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16 May 2023 | Updated on 10 September 2025
It is now estimated that 2.5 quintillion bytes of data is created every day globally, which is a phenomenal amount that could be used to help you make improvements across the business by: Support...
It is now estimated that 2.5 quintillion bytes of data is created every day globally, which is a phenomenal amount that could be used to help you make improvements across the business by:
Which is why data science is already fast-growing field with many career and business opportunities!
This learning path is structured in five steps, and then there are four electives – here’s an outline of each step:
this step will provide you with an introduction so you can familiarise yourself with programming. It has been crafted by IBM to help you write Python scripts, use the JupyterLab environment to perform data analysis and create your own Data Science projects by utilising IBM Watson. By the end of this step, you’ll be able to:
Python is a required skill for many Data Science roles, so this step is essential for starting your career, as it’ll teach you the essential concepts of Python programming. It will also provide you with in-depth knowledge in data analytics, Machine Learning, data visualization, web scraping, and natural language processing. On completion of this step, you’ll have the ability to:
Machine Learning automates data analysis to enable computers to learn and adapt through experience to do specific tasks without explicit programming. During this step, you’ll learn about Machine Learning concepts and techniques, including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modelling to develop algorithms. At the end of this step, you’ll be able to:
this step will help you build visualisations, organise data, and design charts and dashboards. It’ll also teach you about Data Visualisation concepts, different combo charts, and stories, working with filters, parameters, and sets, and building interactive dashboards. After you’ve finished this step, you’ll be able to:
the final of this learning path will help you apply your learned skills to solve a real industry-aligned Data Science problem. This Capstone course will also be based on the Data Science decision cycle, and these are the four project milestones:
After all steps have been completed in line with the required criteria, learners will receive a ‘Certificate of Achievement’ from Simplilearn and a ‘Python for Data Science’ certificate from IBM. As part of the learning path, learners will also have access to these electives:
This Data Scientist Learning Path is delivered digitally using:
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