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Machine Learning with Python QLS Endorsed cover image

Machine Learning with Python QLS Endorsed
Thames College

15 QLS Endorsed Courses + 15 Free QLS Certificates + 5 Free eBooks

Summary

Price
£599 inc VAT
Or £66.56/mo. for 9 months...
Study method
Online
Duration
150 hours · Self-paced
Access to content
Lifetime access
Qualification
No formal qualification
Achievement
Assessment details
  • Assignment For QLS Endorsed Certificate (included in price)
Additional info
  • Tutor is available to students

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Overview

What is Included?

  • 15 QLS Endorsed Course
  • 15 Free QLS Hardcopy Certificates
  • 15 Free PDF Certificates
  • 5 Free eBooks
  • 24/7 Tutor Support

Machine learning is a key technology that allows computers to learn from data, recognise patterns, and make predictions. It is widely used in industries such as finance, healthcare, IT, and marketing to automate processes, improve decision-making, and optimise operations. Python has become the most popular language for machine learning due to its flexibility, libraries, and simplicity. Professionals with machine learning and Python skills are in high demand as businesses increasingly rely on data-driven strategies to gain a competitive advantage.

This course bundle provides learners with foundational and advanced skills in machine learning, data analysis, and programming. Learners study Python Programming: Beginner to Expert to develop coding skills and use Python libraries for machine learning. Data Science & Machine Learning with R complements Python knowledge and teaches statistical and predictive analysis techniques. Courses such as Data Analyst: Data Analyst (Data Analytics), Diploma in Data Analysis Fundamentals, and Business Intelligence and Data Mining provide the ability to analyse, visualise, and interpret data. MySQL Database Development and SQL Training cover database management, while Javascript for Data Structures and Easy to Advanced Data Structures provide programming logic skills. Statistics, IT: Advanced IT Skills, and financial courses like Financial Analysis and Financial Modelling Using Excel ensure learners can apply machine learning in practical business contexts.

Learning Outcomes

By completing this course, learners will be able to:

  • Build machine learning models using Python and R to analyse data.
  • Apply statistical methods and predictive analytics to solve business problems.
  • Develop and manage databases using SQL and MySQL for data processing.
  • Implement data visualisation and business intelligence techniques to interpret results.
  • Combine programming, analytics, and financial data for effective decision-making.

★ Courses we are offering ★

Course 01: Data Science & Machine Learning with R Level 07
Course 02: Diploma in Data Analysis Fundamentals Level 05
Course 03: Business Intelligence and Data Mining Level 04
Course 04: Javascript for Data Structures Level 04
Course 05: Easy to Advanced Data Structures Level 06
Course 06: MySQL Database Development Level 05
Course 07: SQL Training Level 06
Course 08: Statistics Level 04
Course 09: Data Analyst : Data Analyst (Data Analytics) Level 04
Course 10: Python Programming: Beginner To Expert Level 07
Course 11: IT : Advanced IT Skills level 01
Course 12: Financial Analysis Level 04
Course 13: Information Management Level 03
Course 14: Financial Modelling Using Excel Level 02
Course 15: Risk Management Level 07

Free ebooks

  • eBook 01: Agile Project Management
  • eBook 02: Leadership & Management: Become a Team Leader
  • eBook 03: Virtual Assistant
  • eBook 04: Workplace Communication Mastery
  • eBook 05: Working Remotely: How To Succeed In The New Workplace

Additional perks of selecting course from Thames College:

This course offers you the benefit of —

  • Learn with an engaging voiceover and visual elements.
  • Lifetime access to the course.
  • Participate in quick assessments and get instant feedback on your course progress.
  • Study on your own schedule.

Achievement

Assessment details

Assignment For QLS Endorsed Certificate

Included in course price

Description

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.

Who is this course for?

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.

Requirements

No formal entry requirements for this course!

Career path

After completing this programme, learners can work in roles such as:

  • Machine Learning Engineer
  • Data Scientist
  • Data Analyst
  • Business Intelligence Analyst
  • Python Developer
  • R Programmer
  • SQL Data Analyst
  • IT Data Specialist
  • Financial Analyst
  • Algorithm Developer

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FAQs

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