No/Low Code Machine Learning

Course fee

Cost: R2 800.00

Deposit: R700.00

Monthly instalments: R700.00 x 3

Duration: You will have Skillsoft access to this course for 12 months. The average time required to work through the syllabus is:

• 17 courses (20h 14m)
• Optional additional resources are available to enhance your learning in your own time.

About the course

Course code: C01387

Course overview:

• Track 1: Low-code Machine Learning with KNIME
• Track 2: No-code Machine Learning with RapidMiner
• Track 3: Machine Learning Using SQL with BigQuery ML

What are Aspire Journeys?

Aspire Journeys are guided learning paths designed and published by Skillsoft. These courses provide:

• A clear starting point across the roles and responsibilities of tomorrow.
• Exercises for on-the-job applications to put what you’ve learned into practice.
• Verifiable, shareable, and portable digital badges so you can celebrate accomplishments along the way.
• A diverse array of learning tools from the books to audiobooks to video courses, and more.

The learning path for each journey comprises tracks of content in a recommended order. Completing all content within a track completes the track. Completing all tracks within the journey completes the journey.

Modules and topics covered:

Track 1: Low-code Machine Learning with KNIME

• Low-code ML with KNIME: Getting Started with the KNIME Analytics Platform
• Low-code ML with KNIME: Building Regression Models
• Low-code ML with KNIME: Building Classification Models
• Low-code ML with KNIME: Building Clustering Models
• Low-code ML with KNIME: Performing Time Series & Market Basket Analysis
• Final Exam: Low-code Machine Learning with KNIME

Track 2: No-code Machine Learning with RapidMiner

• No-code ML with RapidMiner: Getting Started with RapidMiner
• No-code ML with RapidMiner: Performing Regression Analysis
• No-code ML with RapidMiner: Building & Using Classification Models
• No-code ML with RapidMiner: Performing Clustering Analysis
• No-code ML with RapidMiner: Time-series Forecasting & Market Basket Analysis
• Final Exam: No-code Machine Learning with RapidMiner

Track 3: Machine Learning Using SQL with BigQuery ML

• Machine Learning with BigQuery ML: Building Regression Models
• Machine Learning with BigQuery ML: Building Classification Models
• Machine Learning with BigQuery ML: Building Unsupervised Models
• Machine Learning with BigQuery ML: Training Time Series Forecasting Models
• Final Exam: Machine Learning Using SQL with BigQuery ML

Admissions requirements:

Academic grade: No minimum school pass requirements or formal prerequisites, but it is recommended that students are familiar with Machine Learning.

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.