Course Overview
This course is designed to provide students with the knowledge and skills needed to perform data science using Python programming language. Students will learn to apply machine learning libraries such as Pandas, Seaborn and scikit-learn. The course will cover topics such as data cleaning, exploratory data analysis, machine learning algorithms, model evaluation, and selecting the appropriate model for business use.
Learning Objectives:
- Understand the fundamental concepts of data science
- Perform exploratory data analysis and visualization using Matplotlib and Seaborn libraries
- Build predictive models using machine learning algorithms such as linear regression, logistic regression, decision trees, and random forests
Basic programming knowledge in Python, familiarity with libraries like Numpy, Pandas, and Matplotlib.
You may also complete the following course(s) before attending the Data Science and Machine Learning with Python course but they are not mandatory:
Course Dates, Prices & Enrolment
All Training
Physical Classes
Virtual Classes
Time Zone:
| Training Method | Dates and Times | Total Hours & Days | Price | |
Classroom Training
|
13 Oct 2025 - 14 Oct 2025
Monday to Tuesday
05:00 AM - 11:00 AM
ET
| 12-hour over 2-day |
£360 £420
(approx. $485 USD)
| Enrol Now |
|
Classroom Training
|
17 Nov 2025 - 18 Nov 2025
Monday to Tuesday
05:00 AM - 11:00 AM
ET
| 12-hour over 2-day |
£360 £420
(approx. $485 USD)
| Enrol Now |
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