Data and Information



Data and Information – Bootcamp

Cohort 2024

Course Summary

The Online Data and Information Bootcamp is a comprehensive program designed to equip participants with the knowledge and skills needed to understand, manage, analyse, and derive insights from data effectively. In today’s data-driven world, the ability to harness and interpret data is essential across various industries and roles.

This Bootcamp provides a practical and hands-on approach to mastering data concepts and techniques.

Throughout the Bootcamp, participants will explore a wide range of topics, including data fundamentals, data analysis, data visualisation, data management, and data-driven decision-making.

They will learn how to collect, clean, process, and analyse data using tools and techniques commonly used in the industry. Additionally, participants will delve into advanced topics such as machine learning and big data analytics.


Key Learning Objectives

Understanding the fundamentals of data and information, including types of data, data sources, and data structures.

Learning data collection methods and techniques, including data scraping, APIs, and surveys.

Exploring data cleaning and preprocessing techniques to ensure data quality and reliability.

Gaining proficiency in data analysis using statistical methods, hypothesis testing, and data mining techniques.

Developing skills in data visualisation to communicate insights effectively using charts, graphs, and dashboards.

Learning about data management principles, including data storage, retrieval, and security.

Exploring advanced topics such as machine learning algorithms, predictive analytics, and deep learning.

Applying data-driven decision-making processes to solve real-world problems and drive business outcomes.

Whether you’re a beginner looking to enter the field of data analytics or a professional seeking to enhance your data skills, this online Bootcamp provides a comprehensive and practical pathway to success in the realm of data and information.


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