Artificial Intelligence and Machine Learning Courses

AI+ Data - Self-paced

Length 365 days access
Inclusions Online exam

Course overview

Book your on demand course

Why study this course

The AI+ Data course is designed for aspiring data professionals and practitioners seeking to build end-to-end data science capabilities. It delivers comprehensive technical and analytical skills across programming, statistics, and data analysis, enabling individuals in roles such as data analysts, business intelligence specialists, and early-career data scientists to apply data-driven insights in real-world environments.

Participants will learn key concepts including data science foundations, statistical analysis, data wrangling, and exploratory data analysis, alongside programming in Python and R and core machine learning techniques. The course emphasises hands-on, practical learning through real-world applications and a capstone project, ensuring learners gain experience in extracting insights, building models, and communicating data-driven outcomes effectively.

Exam and certification

This course prepares students for the corresponding certification. The exam/assessment is completed online and provided as part of the course content.

The exam is:

90 minutes
50 multiple choice / multiple response questions
Pass mark is 35 out of 50 (i.e. 70%)
Online via AI Proctoring platform

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What you’ll learn

Through this course, students will gain:

The understanding of data science, from foundational concepts and data preparation to exploratory analysis and advanced topics like Generative AI and ML.
Hands on skills in Python and R for data manipulation, visualization, and advanced machine learning applications.
The skills to implement and evaluate machine learning models, from regression to advanced techniques, using real world case studies to generate insights.
The skills in data driven decision making and storytelling, including creating dashboards and communicating insights for business impact.

AI CERTs at Lumify Work

AI CERTs® stands at the forefront of AI and blockchain certification, offering world-class programs that prepare individuals to lead in these rapidly growing fields. AI CERTs courses and certifications are vendor agnostic and designed to bridge the gap between theoretical knowledge and practical application, ensuring learners are equipped to make an immediate impact in their careers.
Lumify Work is a Platinum Authorized Training Partner for AI CERTs in Australia, New Zealand, and the Philippines.

View all AI CERTs at Lumify Work courses

Who is the course for?

This course is intended for:

Data Analysts and Scientists
Business Analysts and Managers
IT Professionals and Software Developers
Academics and Researchers
Entrepreneurs and Startup Founders

Course subjects

Module 1: Foundations of Data Science

Introduction to Data Science
Data Science Life Cycle
Applications of Data Science

Module 2: Foundations of Statistics

Basic Concepts of Statistics
Probability Theory
Statistical Inference

Module 3: Data Sources and Types

Types of Data
Data Sources
Data Storage Technologies

Module 4: Programming Skills for Data Science

Introduction to Python for Data Science
Introduction to R for Data Science

Module 5: Data Wrangling and Preprocessing

Data Imputation Techniques
Handling Outliers and Data Transformation

Module 6: Exploratory Data Analysis (EDA)

Introduction to EDA
Data Visualization

Module 7: Generative AI Tools for Deriving Insights

Introduction to Generative AI Tools
Applications of Generative AI

Module 8: Machine Learning

Introduction to Supervised Learning Algorithms
Introduction to Unsupervised Learning
Different Algorithms for Clustering
Association Rule Learning with Implementation

Module 9: Advanced Machine Learning

Ensemble Learning Techniques
Dimensionality Reduction
Advanced Optimization Techniques

Module 10: Data-Driven Decision-Making

Introduction to Data-Driven Decision Making
Open Source Tools for Data-Driven Decision Making
Deriving Data-Driven Insights from Sales Dataset

Module 11: Data Storytelling

Understanding the Power of Data Storytelling
Identifying Use Cases and Business Relevance
Crafting Compelling Narratives
Visualizing Data for Impact

Module 12: Capstone Project – Employee Attrition Prediction

Project Introduction and Problem Statement
Data Collection and Preparation
Data Analysis and Modeling
Data Storytelling and Presentation

Prerequisites

Basic knowledge of computer science and statistics (beneficial but not mandatory)
Keen interest in data analysis
Willingness to learn programming languages such as Python and R

Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.