Enter the world of Data Science and Machine Learning with a hands-on and intensive part-time program.
This course will teach you everything you need to understand, analyze and manage Data Science projects. From fundamental concepts and practical coding experience, to Data Analysis and Visualization, to key Machine Learning algorithms and process design.
By the end of this module, you will have learned the fundamentals of Python programming that focus on the field of data science. You will be able to gather and collect data from different sources and in different formats, analyse, clean and preprocess the data to prepare it for machine learning applications and visualize the data for business users, using key Python libraries and tools like Jupyter Notebook.
In this module we will introduce you to the fields of Data Science, Artificial Intelligence and Machine Learning. Using different concepts of supervised and un-supervised learning, you will understand how the different models and methods operate, how they are implemented and which problems they solve. We will work on real life business cases like linear regression for prediction or classification for categorization.
Bring the action! You will now implement examples of typical Machine Learning applications using high-impact Data Science business cases. You will learn how to collect, prepare, pre-process and engineer the data, how to train and test the data, how to experiment with different algorithms and how to decide which algorithm to apply.
Let's apply Design Thinking methodologies and project management best practices. We will reflect and summarize all the key learnings from the program and apply them to your own project or initiative. We will assess how to analyse, select and prioritize opportunities in the data science field and how to setup and scope project objectives.
This evening program is specifically designed for anyone who needs to bridge the gap between project planning and tech when it comes to Data Science opportunities.
Are you working in Marketing and are you sick of Excel for large data sets? Are you a coordinator in an IT environment who should identify and steer Data Science initiatives for the company? Or would you like to visualize research data and learn the coding fundamentals to do so?
We've got you covered through interactive lectures, expert trainers and hands-on exercises; in-person or remote.
By the end of this course you will be able to: