Beginner Machine Learning
R2 760.00
Machine Learning is fundamental to data-driven decision making in many fields today. This Aspire Journey walks through what it is, how machine learning algorithms work and how to implement and evaluate them.

![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
- Course fee
- About the course
- Admission requirements
- Accreditation status
- Assessment details
- What to expect
- Enquire now
Course fee
Cost: R2 760.00
Deposit: R690.00
Monthly instalments: R690.00 x 3
Duration: You will have Skillsoft access to this course for 12 months. The average time required to work through the syllabus is:
- 4 courses (1h 25m) / 12 labs (12h) / 16 others (14h 30m)
- Optional additional resources are available to enhance your learning in your own time.
About the course
Course code: C01343
Course overview:
- Track 1: Introduction to Machine Learning
- Track 2: Supervised Learning I : Linear and Logistic Regression
- Track 3: Supervised Learning II: Naive Bayes, SVM, KNN and Decision Trees
- Track 4: Recommender Systems
- Track 5: Unsupervised Learning; K Means Clustering and PCA
Track 1: Introduction to Machine Learning
- What is Machine Learning?
- What is Feature Engineering?
- Numerical Transformations
- Regression vs Classification
- Distance Formula
Track 2: Supervised Learning I : Linear and Logistic Regression
- Linear Regression
- Multiple Linear Regression with Python
- Logistic Regression
- Evaluation Metrics for Classification Tasks
- Logistic Regression II
Track 3: Supervised Learning II: Naive Bayes, SVM, KNN and Decision Trees
- Bayes Theorem
- Naive Bayes Classifier
- Support Vector Machines
- K-Nearest Neighbors
- K-Nearest Neighbors Regression
- Decision Trees
Track 4: Recommender Systems
- Introduction To Recommender Systems
- Build a Recommender using Python
Track 5: Unsupervised Learning; K Means Clustering and PCA
- Principal Component Analysis (PCA)
- K Means Clustering
Admission requirements
Academic grade: No minimum school pass requirements or formal prerequisites.
Language: Proficiency in English (course material and support only available in English).
Expertise level: Beginner
Equipment: Access to a PC or laptop with a reliable internet connection.
Effort: Self-paced learning online.
Accreditation status
Course type: Short course
Industry partner: Skillsoft
Certification: Certificate confirming course completion.
Certification issued by: College SA
Assessment details
Each track concludes with a final internal exam that will test your knowledge and application of the topics presented throughout that specific track.
There are no external certification exams for this course.
What to expect
Dedicated support team
We understand that students may require guidance and support to navigate the learning journey, and our Client Services team is always ready to assist them in every possible way. Our team is readily available during office hours and can be contacted via email, phone, WhatsApp and social media.
Skillsoft Learner Management System (LMS) access
Skillsoft is an online learning management system that offers all students enrolled for any of our IT Academy courses compelling content, interactive videos, quizzes, mentoring and practical simulations/virtual labs. The platform allows students to learn at their own pace.
"*" indicates required fields