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Advanced Diploma in Data Science & Machine Learning with Python at QLS Level 7 cover image

Advanced Diploma in Data Science & Machine Learning with Python at QLS Level 7
Janets

FREE PDF Certificate | Level 7 Quality License Scheme Endorsed Training | 120 CPD Points | FREE Data Center Course

Summary

Price
£100 inc VAT
Or £33.33/mo. for 3 months...
Study method
Online
Course format
Video
Duration
600 hours · Self-paced
Access to content
Lifetime access
Qualification
No formal qualification
CPD
120 CPD hours / points
CPD What's this?
Achievement
Endorsed by The Quality Licence Scheme
Assessment details
  • Multiple Choice Questions (MCQ)/Assignment (included in price) (included in price)
Additional info
  • Tutor is available to students

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Overview

The global demand for data science professionals is soaring, with the UK’s data and AI sector expected to contribute over £200 billion to the economy by 2030. According to LinkedIn and Glassdoor, Data Scientist remains one of the UK’s top 10 most sought-after roles, with salaries typically ranging from £55,000 to £95,000 annually. This growth is driven by the increasing need for data-driven decision-making and intelligent automation across industries.

This advanced diploma is ideal for professionals and graduates aiming to specialise in data analysis, machine learning, and artificial intelligence using Python. It is perfectly suited for those aspiring to excel in roles within data science, business intelligence, and AI development.

Learners will master advanced data modelling, statistical analysis, predictive analytics, and deep learning algorithms. The course also builds expertise in Python programming, data visualisation, and real-world problem-solving. Enrol today to future-proof your career and gain cutting-edge skills in one of the world’s fastest-growing tech domains.

Learning Outcomes

After completing this course, you will be able to:

  • Apply advanced Python programming techniques to manage, process, and analyse large and complex datasets effectively.
  • Design and implement machine learning algorithms for predictive modelling, classification, and pattern recognition accurately.
  • Conduct statistical and probabilistic analyses to identify trends and relationships in structured and unstructured data.
  • Develop and evaluate deep learning models using neural networks for intelligent data interpretation and automation.
  • Utilise data visualisation tools and libraries to communicate insights clearly and persuasively to stakeholders.
  • Integrate cloud computing and big data technologies into data science workflows for efficient data handling.
  • Optimise and validate machine learning models to ensure reliability, accuracy, and performance in predictive analytics.
  • Apply ethical principles and legal frameworks to maintain data privacy, transparency, and professional responsibility.
  • Develop critical problem-solving and analytical thinking skills to address complex, data-centric business challenges.
  • Demonstrate professional competence in data science and machine learning, supporting innovation and strategic decision-making.

Achievement

Assessment details

Multiple Choice Questions (MCQ)/Assignment (included in price)

Included in course price

CPD

120 CPD hours / points
Accredited by CPD Quality Standards

Course media

Description

This advanced programme provides an in-depth exploration of data science and machine learning, equipping learners with the technical and analytical skills to work confidently in data-driven environments. The course focuses on mastering Python for data analytics, enabling learners to perform complex computations and predictive modelling with precision.

Participants will explore data preprocessing, statistical analysis, and advanced machine learning algorithms including regression, classification, clustering, and neural networks. They will also develop practical knowledge in data visualisation, cloud-based analytics, and model optimisation.

Upon completion, learners will have the expertise to interpret data, design intelligent systems, and make evidence-based decisions. This qualification prepares participants for leadership roles in analytics, data engineering, and AI development, empowering them to shape innovation and efficiency in modern organisations.

Curriculum Breakdown:

Data Science & Machine Learning With Python

  • Course Overview & Table Of Contents
  • Introduction To Machine Learning
  • System And Environment Preparation
  • Learn Basics Of Python
  • Learn Basics Of NumPy
  • Learn Basics Of Matplotlib
  • Learn Basics Of Pandas
  • Understanding The CSV Data File
  • Load And Read CSV Data File
  • Dataset Summary
  • Dataset Visualization
  • Multivariate Dataset Visualization
  • Data Preparation
  • Feature Selection
  • Refresher Session - The Mechanism Of Re-Sampling, Training And Testing
  • Algorithm Evaluation Techniques
  • Algorithm Evaluation Metrics
  • Classification Algorithm Spot Check
  • Regression Algorithm Spot Check
  • Compare Algorithms
  • Pipelines
  • Performance Improvement
  • Export, Save And Load Machine Learning Models
  • Finalizing A Model - Introduction And Steps
  • Finalizing A Classification Model - The Pima Indian Diabetes Dataset
  • Quick Session: Imbalanced Data Set - Issue Overview And Steps
  • Iris Dataset : Finalizing Multi-Class Dataset
  • Finalizing A Regression Model - The Boston Housing Price Dataset
  • Real-Time Predictions

Method of Assessment

To successfully complete the course, students will have to take an automated multiple-choice exam. This exam will be online and you will need to score 60% or above to pass the course.

After successfully passing the course exam, you will be able to apply for a certificate as proof of your expertise.

Certification

All students who successfully complete the course can instantly download their free e-certificate. You can also purchase a hard copy of the certificate, which will be delivered by post for £9.99.

Who is this course for?

  • Professionals aiming to expand their technical expertise in data science, analytics, and artificial intelligence applications.
  • Learners seeking to master Python programming for use in data analysis, predictive modelling, and business intelligence.
  • Those aspiring to enhance their analytical and quantitative skills for high-demand roles in the data and tech industries.
  • Graduates interested in transitioning into data science or AI careers with advanced technical and problem-solving capabilities.
  • Anyone passionate about learning cutting-edge technologies and shaping future innovation through data-driven insights.

Requirements

No prior qualifications are needed for Learners to enrol on this course.

Career path

  • Data Scientist (£55,000–£95,000)
  • Machine Learning Engineer (£60,000–£100,000)
  • Data Analyst (£45,000–£65,000)
  • Artificial Intelligence Specialist (£65,000–£110,000)
  • Business Intelligence Manager (£55,000–£85,000)
  • Data Engineer (£50,000–£80,000)
  • Quantitative Analyst (£60,000–£95,000)
  • Research Data Scientist (£58,000–£90,000)

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Legal information

This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.

FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.
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