- Assignment For QLS Endorsed Certificate (included in price)
- Tutor is available to students
Included in course price
The Machine Learning with Python course bundle provides learners with the skills needed to work with data and create predictive models. Python Programming: Beginner to Expert teaches the coding skills required for machine learning applications. Data Science & Machine Learning with R adds knowledge of algorithms, regression, and data modelling. Data Analyst: Data Analyst (Data Analytics) and Diploma in Data Analysis Fundamentals focus on interpreting data for business decisions. Business Intelligence and Data Mining helps learners extract actionable insights from large datasets.
Database skills are covered through MySQL Database Development and SQL Training, while programming logic and algorithms are developed in Javascript for Data Structures and Easy to Advanced Data Structures. Statistics, IT: Advanced IT Skills, Financial Analysis, and Financial Modelling Using Excel allow learners to combine technical skills with business understanding, preparing them to use machine learning in real-world scenarios. Information Management ensures learners know how to manage data securely and efficiently.
This bundle is highly valuable for job seekers because machine learning is one of the fastest-growing fields in the UK. Employers seek candidates who can analyse data, develop predictive models, and provide insights for strategic decision-making. Free QLS-endorsed certificates strengthen employability by verifying skills and learning outcomes. Completing this course provides learners with a competitive advantage for roles in data science, analytics, IT, and finance across various sectors.
Please Note:Thames College is a One Education approved resale partner for Quality Licence Scheme Endorsed courses.
This course is suitable for graduates, IT professionals, and employees seeking careers in machine learning, data analytics, or business intelligence. It is ideal for learners who want to develop coding, analytical, and statistical skills applicable across multiple industries.
No formal entry requirements for this course!
After completing this programme, learners can work in roles such as:
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