This module will explore the fundamentals of handling data in the modern world.

From data collection and storage to analysis and presentation, you will learn how to construct databases and use them to store, query, and manipulate data. This module will teach you how to apply the principles of data analysis, including descriptive statistics, predictive analytics, and machine learning algorithms. You will also cover topics such as database administration and security, where you will develop the skills needed to effectively manage your own databases.

From Data Mining to Machine Learning, this module will act as a comprehensive guide to obtaining, formatting and extracting meaningful insights from data. It will cover the techniques used to collect relevant data from various sources, such as databases, websites, and social media whilst introducing you to overviews of methods used to format the data into a usable form, such as sorting and grouping. You will also learn the methods used to extract meaningful insights from the data including extraction techniques such as statistical analysis, machine learning algorithms, and data visualisation.

By mastering these techniques, you will be able to utilise data for informed decision making.

Focusing on the effective communication of data, this module will teach you how to effectively present data in a visually appealing way to communicate a message or story. You will cover topics such as the basics of data visualisation, including the use of graphs, charts, and diagrams, how to choose the most effective visual representation for the data, and how to tell stories using data. You will also learn about the importance of selecting the right visuals for your audience and the different techniques used to create engaging presentations.

This module will also explore how to effectively deliver data-driven stories, including tips on presenting complex data in an easy-to-understand manner. By the end of this module, you will have gained the necessary skills to effectively communicate your message through data visualisation; adding another learnt skill to your CV.

This module will expand your understanding of different sources of data, data trust, and how combining different data sets allows for more meaningful insights. By understanding the various sources of data, you will be able to ensure that the data is reliable and accurate whilst also learning how to build trustworthy data.

You will also develop an understanding of how to combine multiple data sets to provide insight into trends, correlations, and patterns that may not be visible when looking at single data sets. You will also learn how to interpret data and therefore make informed decisions: including combining energy usage and weather data.

Discussing Statistical Modelling and General Analysis, this module will explore different methods of analysing structured and unstructured data, including statistical modelling and general analysis techniques.

The module will show you software that can apply these techniques to data sets, such as those found in the fields of marketing, finance, healthcare, and social media. This will lead nicely into understanding how to interpret the results of these analyses in order to draw meaningful conclusions or decisions.

Finally, you will gain an understanding of the ethical considerations that must be taken into account when working with data. This is very important!

This module will teach you how to check for accuracy, reliability, and quality when reviewing data, using the following processes:

Cross-checking involves comparing data from different sources to ensure that it is consistent and accurate.

Fault identification looks for errors or inconsistencies in the data, while Quality looks are used to make sure the data meets certain standards.

Data validation can help ensure that data is up-to-date, accurate and complete, thereby reducing the risk of costly mistakes or incorrect decisions being made.

This module will enable you to effectively communicate the insights extracted from the data. This includes developing your skills in creating reports, documents and messages that are accurate, clear and concise whilst also telling a story. You will learn that reports should be tailored to the audience being analysed, providing information that is relevant and easy to understand, whilst documentation should be comprehensive and up-to-date, and messaging should be targeted and appropriate.

By using these techniques, you will be able to ensure that the extracted data is communicated to the right people, in the right way, at the right time.

As an essential when protecting sensitive data, this module will ensure compliance with relevant laws and regulations. You will be introduced to the best practices for data protection, such as encryption, data masking, access control, and data retention policies. This module will also cover compliance with laws such as  General Data Protection Regulation (GDPR) and other international standards.

By following these best practices, you will help businesses to ensure that their data is secure and that they remain compliant with applicable laws. This module will also help develop your skills so you can be an asset to organisations, helping them to protect consumer data from cyber-attacks and unauthorised access.

In this module, you will explore how to use business intelligence tools to collaborate with stakeholders in order to generate value from data. This will include identifying the right data sources, understanding the needs of stakeholders, and developing processes to effectively analyse and interpret data.

The module will also cover how to use data-driven insights to inform decisions, as well as techniques for effectively communicating insights to your stakeholders. Through this process, you will be able to develop your knowledge to help organisations gain a competitive edge by unlocking the potential of their data.

You will be introduced to the fundamentals of big data, data science and data warehouses where you will explore how these technologies can be used to process large amounts of data quickly and effectively.

The module will cover topics such as data mining, machine learning, artificial intelligence and cloud computing where you will learn how to use advanced analytical techniques to obtain insights from data sets. You will also gain an understanding of how data warehouses can be used to store large amounts of data and how they can be queried in order to produce meaningful results.