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2 June 2023 | Updated on 10 September 2025
It is estimated that over 325 million of terabytes of data is now created daily. Meaning there is a lot of data available to analyse! Becoming a Data Analyst is therefore a great career option beca...
It is estimated that over 325 million of terabytes of data is now created daily. Meaning there is a lot of data available to analyse!
Becoming a Data Analyst is therefore a great career option because they are essential for businesses. Data Analysts can use technology to inspect, cleanse, transform, model and visualise data sets identifying trends andinsights for an organisation – enabling them to:
This learning path has been developed in collaboration with IBM and is structured in five steps, and then there are six electives – here’s an outline of each step:
this step will teach you insights into applying data and analytics principles in your business. You’ll also learn about the complete data analytics lifecycle, and use industry-specific examples and case studies to discover how analytics, data visualization, and data science methodologies can be used. By the end of this step, you’ll be able to:
learners will be able to boost their career with this step, as they will learn new and powerful Microsoft Excel skills. You’ll also be taught data analysis and statistics concepts, for better data-driven decision making. On completion of this step, you’ll have the ability to:
this step will teach you how to analyse data in Python using multi-dimensional arrays in NumPy, manipulate DataFrames in Pandas, use the SciPy library of mathematical routines, and perform machine learning using scikit-learn. At the end of this step, you’ll be able to:
this step will enable learners to build visualisations, organise data, and design charts and dashboards. You’ll also learn 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 step 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 ‘Data Analytics with Python’ certificate from IBM. As part of the learning path, learners will also have access to these electives:
This Data Analytics Learning Path is delivered digitally using:
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