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Machine Learning Fundamentals Job Preparation Complete Course cover image

Machine Learning Fundamentals Job Preparation Complete Course
Cambridge Open Academy

Hot Deal | 20-in-1 Course | Updated 2026 | FREE PDF & Hardcopy Certificate | Lifetime Access | 1K+ Enrolment

Summary

Price
£399 inc VAT
Or £66.50/mo. for 6 months...
Study method
Online
Duration
60 hours · Self-paced
Access to content
Lifetime access
Qualification
No formal qualification
CPD
200 CPD hours / points
CPD What's this?
Certificates
  • Certificate of Completion (Hard Copy) - Free
  • Certificate of Completion (PDF) - Free
Assessment details
  • Mock Exam & Final Exam (included in price)
Additional info
  • Tutor is available to students

Overview

Build job-ready data and machine learning skills with this Machine Learning Fundamentals Job Preparation Complete Course. This online machine learning course covers regression, predictors, data cleaning, data models, regression trees, classification trees, logistic regression and basic machine learning concepts. You will also learn data science with R, data manipulation, data visualisation, R Markdown, R Shiny, Python machine learning, clustering and recommender systems. The course also introduces cloud computing, cloud storage, cloud security, troubleshooting and Internet of Things topics such as Raspberry Pi, sensors and IoT security. It is suitable for beginners, data learners, IT students and anyone preparing for machine learning, data science or AI support roles.

Learning Outcomes

By the end of this course, learners will be able to:

  • Understand basic machine learning concepts, data models and learning methods.
  • Apply regression, classification, clustering and recommender system awareness.
  • Use data cleaning and preprocessing ideas to prepare data for analysis.
  • Explore data science with R, including data manipulation and visualisation.
  • Understand Python machine learning algorithms at a beginner level.
  • Build awareness of cloud computing, IoT, sensors and ML career pathways.

This Bundle Consists of the Following Courses:

Core Machine Learning Skills:

  • » Course 01: Machine Learning Basics
  • » Course 02: Data Science & Machine Learning with R
  • » Course 03: Machine Learning Course with Python
  • » Course 04: CompTIA Cloud+ (CV0-002)

Specialised Skills:

  • » Course 05: Internet of Things
  • » Course 06: AWS Certified Solutions Architect Associate
  • » Course 07: CompTIA Network+ (N10-008)
  • » Course 08: Intermediate Python Coding
  • » Course 09: Kotlin Masterclass Programming Course: Android Coding Bible
  • » Course 10: Learn C# Coding Basics for Beginners: C# Fundamentals

Technical Skills:

  • » Course 11: Data Analysis
  • » Course 12: Digital Marketing
  • » Course 13: IT Support Management

Soft Skills:

  • » Course 14: Negotiation
  • » Course 15: Public Speaking
  • » Course 16: Critical Thinking and Decision Making
  • » Course 17: Effective Communication Skills
  • » Course 18: Emotional Intelligence
  • » Course 19: Conflict Resolution
  • » Course 20: Stress Management

Certificates

Assessment details

Mock Exam & Final Exam

Included in course price

CPD

200 CPD hours / points
Accredited by CPD Quality Standards

Course media

Description

Machine learning is now a cornerstone of innovation, driving change across sectors. This Machine Learning Fundamentals Job Preparation Complete Course has been designed to provide a strong theoretical grounding in machine learning, data science, and coding through Python, R, C#, and Kotlin. By incorporating essential healthcare modules such as infection control, radiography, and clinical coding, it ensures that machine learning is explored not only in technology but also within healthcare job preparation.

The course also integrates cloud systems, networking, and the Internet of Things, showcasing how machine learning links with modern digital transformation. Alongside technical knowledge, you will engage with soft skills in negotiation, communication, emotional intelligence, and stress management, making machine learning applicable in collaborative healthcare and business environments.

By the end of this journey, you will have a clear understanding of how machine learning drives healthcare, technology, and workplace efficiency. Begin your career transformation today with the Machine Learning Fundamentals Job Preparation Complete Course and position yourself at the centre of future-ready opportunities.

Course Curriculum:

» Course 01: Machine Learning Basics

  • Section 01: Introduction
  • Section 02: Regression
  • Section 03: Predictors
  • Section 04: Minitab
  • Section 05: Regression Trees
  • Section 06: Binary Logistics Regression
  • Section 07: Classification Trees
  • Section 08: Data Cleaning
  • Section 09: Data Models
  • Section 10: Learning Success

» Course 02: Data Science & Machine Learning with R

  • Section 01: Introduction to Data Science +ML with R from A-Z
  • Section 02: Getting Started with R
  • Section 03: Data Types and Structures in R
  • Section 04: Intermediate R
  • Section 05: Data Manipulation in R
  • Section 06: Data Visualization in R
  • Section 07: Creating Reports with R Markdown
  • Section 08: Building Webapps with R Shiny
  • Section 09: Introduction to Machine Learning
  • Section 10: Data Preprocessing
  • Section 11: Linear Regression: A Simple Model
  • Section 12: Exploratory Data Analysis
  • Section 13: Linear Regression: A Real Model
  • Section 14: Logistic Regression
  • Section 15: Starting a Career in Data Science

» Course 03: Machine Learning Course with Python

  • Section 01: Introduction to Machine Learning
  • Section 02: Setting Up Python & ML Algorithms Implementation
  • Section 03: Simple Linear Regression
  • Section 04: Multiple Linear Regression
  • Section 05: Classification Algorithms: K-Nearest Neighbors
  • Section 06: Classification Algorithms: Decision Tree
  • Section 07: Classification Algorithms: Logistic regression
  • Section 08: Clustering
  • Section 09: Recommender System
  • Section 10: Conclusion

» Course 04: CompTIA Cloud+ (CV0-002)

  • Section 01: What You Need to Know
  • Section 02: Introducing the Cloud
  • Section 03: System Requirements for Cloud Deployments
  • Section 04: Cloud Storage
  • Section 05: Cloud Compute
  • Section 06: Cloud Networking
  • Section 07: Cloud Security
  • Section 08: Migrating to the Cloud
  • Section 09: Maintaining Cloud Solutions
  • Section 10: Troubleshooting Cloud Solutions

» Course 05: Internet of Things

  • Unit 01: Introduction
  • Unit 02: Raspberry Pi Installation
  • Unit 03: Getting Around Raspberry Pi
  • Unit 04: Raspberry Pi GPIO Output
  • Unit 05: Output from Raspberry Pi
  • Unit 06: Inputs to Raspberry Pi
  • Unit 07: Sensor Interfacing
  • Unit 08: Interfacing of I2C Based BMP180 Sensor with Raspberry Pi
  • Unit 09: Internet of Things with Microsoft Azure
  • Unit 10: IoT with Thingspeak
  • Unit 11: Learn a new platform, Adafruit IO
  • Unit 12: IOT Security

and more with other courses.

Our Specialised Delivery Method:

  • Learn by Doing: Interactive activities keep you engaged.
  • Go Mobile: Works on any device, no downloads needed.
  • Easy to Use: Simple design for all learners.
  • Track Progress: Stay motivated with clear progress tracking.
  • Visually Appealing: Enjoyable learning experience.

Join us today to unlock the potential of your Machine Learning skills and elevate your career to new heights.

Who is this course for?

  • Individuals preparing for healthcare job preparation with machine learning focus.
  • Students and graduates aiming to specialise in machine learning careers.
  • Professionals seeking to connect healthcare with machine learning innovation.
  • Anyone aspiring to build future-proof skills with machine learning foundations.

Requirements

  • No prior knowledge needed
  • Compatible with any internet-enabled device, including computers, tablets, and smartphones.
  • Consistent learning experience
  • Accessible anywhere, anytime
  • No limitations on access
  • Use Wi-Fi or mobile data

Career path

  • Machine Learning Engineer: £40,000 – £65,000

  • Data Scientist: £35,000 – £60,000

  • AI Researcher: £45,000 – £70,000

  • Business Intelligence Analyst: £28,000 – £45,000

  • Data Analyst: £25,000 – £40,000

  • AI Consultant: £45,000 – £70,000

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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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