Learn key data science techniques, from statistical analysis to machine learning for data interpretation.

Drive strategic decision-making with this 16-week Data Science programme, and get your hands on utilising advanced statistical techniques, developing models that influence business strategies, and employing machine learning for data interpretation.
This Aceplora course is designed to equip you with essential skills to give you the right start in the Data Analysis field. This programme will help you master tools like Python, R, SQL, and the fundamentals of how machine learning works in Data Science.
Using a combination of instructor-led lessons and self-paced classes, we support your learning journey by immersing these classes with teamwork and collaborative sessions with other learners enrolled in the programme. Mentorship sessions are provided to ensure you get personalised assistance with an industry expert to guide you.
By the end of this course, you will learn to:
Below are the available batches and schedules for this course.
3 November 2025 - 20 February 2026
Schedules
Days: Monday, Wednesday, Friday
Time: 18:00 - 21:00
Time Zone: WAT
Days: Monday, Wednesday, Friday
Time: 20:00 - 23:00
Time Zone: EST
5 January 2026 - 24 April 2026
Schedules
Days: Monday, Wednesday, Friday
Time: 09:00 - 12:00
Time Zone: WAT
Days: Monday, Wednesday, Friday
Time: 12:00 - 15:00
Time Zone: EST
2 February 2026 - 22 May 2026
Schedules
Days: Monday, Wednesday, Friday
Time: 18:00 - 21:00
Time Zone: WAT
Days: Monday, Wednesday, Friday
Time: 20:00 - 23:00
Time Zone: EST
2 March 2026 - 19 June 2026
Schedules
Days: Monday, Wednesday, Friday
Time: 09:00 - 12:00
Time Zone: WAT
Days: Monday, Wednesday, Friday
Time: 12:00 - 15:00
Time Zone: EST
4 May 2026 - 11 September 2026
Schedules
Days: Monday, Wednesday, Friday
Time: 18:00 - 21:00
Time Zone: WAT
Days: Monday, Wednesday, Friday
Time: 20:00 - 23:00
Time Zone: EST
1 June 2026 - 16 October 2026
Schedules
Days: Monday, Wednesday, Friday
Time: 09:00 - 12:00
Time Zone: WAT
Days: Monday, Wednesday, Friday
Time: 12:00 - 15:00
Time Zone: EST
7 September 2026 - 11 December 2026
Schedules
Days: Monday, Wednesday, Friday
Time: 18:00 - 21:00
Time Zone: WAT
Days: Monday, Wednesday, Friday
Time: 20:00 - 23:00
Time Zone: EST
5 October 2026 - 22 January 2027
Schedules
Days: Monday, Wednesday, Friday
Time: 09:00 - 12:00
Time Zone: WAT
Days: Monday, Wednesday, Friday
Time: 12:00 - 15:00
Time Zone: EST
£350
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