Text Mining

This workshop introduces the topic of text mining and its applications. It covers different encoding mechanisms to convert text into numbers that algorithms can handle. It gives an overview of different text mining tasks, including de-identification, sentiment analysis and document clustering, and how they work with examples and live demos. There will also be references to state-of-the-art tools and libraries to conduct various text mining tasks.

Introduction to Python

This course is designed to provide you with a solid foundation in Python programming language. Through a comprehensive curriculum and hands-on coding exercises, participants will learn the fundamentals of Python syntax, data types, functions, and file handling.

By the end of the course, you will have gained the essential skills to write Python programs, solve problems, and build the foundation for more advanced Python development.

Whether you are a beginner or have some programming experience, this course will equip you with the necessary tools to start your journey in Python programming.

Data Preparation for Machine Learning

This single-session course provides you with essential knowledge and skills to effectively prepare data for analysis. Starting with an overview of the Data Analytics pipeline and processes, the session explores various statistical and visualization techniques used in Exploratory and Descriptive Analytics to understand historical data. You will then delve into the art of Data Preparation, gaining expertise in data cleaning, handling missing values, detecting, and handling outliers, as well as transforming and engineering features.

By the end of the session, you will be equipped with the necessary tools to ensure data quality and integrity, enabling you to make informed decisions and derive valuable insights from their data.

Introduction to C

This course introduces the fundamental concepts of programming such as conditional statement, loops (while and for), arrays, pointers, functions, and dynamic memory allocation.

No programming experience will be assumed or required.