Data Science and Artificial Intelligence (Online) Course

15 in-depth courses: Master essential programming languages like Python and R, delve into statistics and probability, and explore the fascinating world of artificial intelligence.

Learn by doing: Gain practical experience through hands-on projects, applying your knowledge to real-world data science and AI applications.

Unlock career possibilities: Develop a sought-after skillset that opens doors to exciting opportunities in data science, machine learning, and AI-powered fields.

Become a data-driven decision-maker.

Build innovative AI solutions.

Transform businesses with the power of data.

Statistics & Probability for Data Science & Machine Learning: Master the language of data! This course equips you with core statistical and probability concepts for analysing data and building machine learning models.

R Programming for Data Science: Unleash the power of R, a popular programming language for data analysis and visualisation. Learn to manipulate data, perform statistical tests, and create informative graphics.

Python Data Science: Dive into Python, the go-to language for data science. This course equips you with essential skills for data manipulation, analysis, and building machine learning models.

SQL for Data Science, Data Analytics and Data Visualisation: Unlock the secrets of databases! Learn SQL, a powerful query language for retrieving and formatting data for analysis and visualisation in data science projects.

Quick Data Science Approach from Scratch: Get started with data science fast! This course provides a foundational understanding of the entire data science workflow, from data acquisition to analysis and communication.

Foundations of Artificial Intelligence: Demystify the world of AI! Explore core concepts like machine learning, deep learning, and natural language processing to understand how AI systems learn and solve problems.

Consider replacing with:Advanced Statistics for Data Science: Take your statistical skills to the next level. This course delves deeper into advanced statistical techniques commonly used in data science projects.

ChatGPT & AI: 23 Ways to Make Money with AI: Discover the monetisation potential of AI! Learn how to leverage ChatGPT, a large language model, and explore various ways to generate income through AI applications.

ChatGPT for Marketing and Productivity with AI Tools: Boost your marketing and productivity with AI! Explore how ChatGPT and other AI tools can automate tasks, generate content, and optimise marketing campaigns.

Hands-on Machine Learning Project - Auto Image Captioning for Social Media: Learn by doing! Build a real-world machine learning project that automatically generates captions for social media images. Gain practical experience in training and deploying a machine learning model.

Spatial Data Visualisation and Machine Learning in Python: Uncover hidden patterns in location-based data! Learn spatial data analysis techniques and use Python to visualise and analyse geographic data for machine learning applications.

Machine Learning for Predictive Maps in Python and Leaflet: Predict the future with maps and machine learning! Develop machine learning models that can make predictions based on geographic data, visualised using interactive maps with Leaflet.js.

U&P AI - Natural Language Processing (NLP) with Python: Make machines understand human language! Master NLP techniques for text analysis, sentiment analysis, and machine translation using Python libraries.

Learn AI with Python: Deepen your understanding of AI. Explore various Python libraries and frameworks commonly used in machine learning and AI development.

Creating REST APIs with Python Django: Connect your data and applications! Learn how to build RESTful APIs using Python's Django framework, enabling data exchange and communication between different systems.

Aspiring data scientists, machine learning engineers, and AI enthusiasts

Business professionals seeking to leverage data and AI for better decision-making

Anyone curious about the future of technology and its applications

Data Scientist

Machine Learning Engineer

AI Specialist

Business Intelligence Analyst

Data Analyst

Research Scientist