A Beginner’s Guide to Data Analytics

Explore the components of a successful data analytics ecosystem

Organisations with a data-led culture benefit from greater transparency, faster decision making, and higher revenue, thanks to innovative approaches to data analytics.

On this three-week course, you’ll be introduced to key concepts used in data analytics processes. You’ll define a data-led organisation, identifying how infrastructures, types of analytics, and people combine to make an effective ecosystem.

Examine the benefits of diagnostic, predictive, and prescriptive analytics

When used effectively, data analytics gives meaningful answers to questions about the past, present, and future of business organisations.

Using business cases to contextualise your learning, you’ll examine each step of the data analytics journey, learning to identify where your organisation currently sits and develop your own data optimisation strategy.

Learn how to spot digital innovation opportunities and data skill gaps

You’ll explore a variety of analytics strategies and gain an overview of different data skill sets and roles in data engineering, analysis, and science.

Equipped with this understanding, you’ll be able to identify any gaps in your current structure, explaining what business needs are fulfilled by each role and the technical solutions they can offer.

Develop real-world decision making skills, driven by data analysis

Driven by your organisation’s operational and strategic goals, you’ll learn how data analytics can deliver new information and insights to inform future strategies.

With insights and experiences delivered by world-leading experts in data analytics, you’ll finish this course having developed a data analytics mindset to help inform your business decisions and a data strategy that aligns with your organisation’s goals.

This course is designed for anyone wanting to make the move into a career in data science and analytics.

It’s also suitable for business leaders wanting to improve their understanding of data analytics to improve decision making, technical innovation, and business strategy.

This course is designed for anyone wanting to make the move into a career in data science and analytics.

It’s also suitable for business leaders wanting to improve their understanding of data analytics to improve decision making, technical innovation, and business strategy.

• Explore the four types of data analytics and how they interact.
• Identify the purpose and value of the different types of data analytics and the way that these each contribute to the effective use of BI.
• Explore the challenges and opportunities of DA implementation in businesses of all sizes.
• Identify various aspects of technical solutions within data analytics.
• Explain the principles, benefits and challenges of diagnostic, descriptive, predictive and prescriptive analytics.
• Explore the principles of using DA to transform and improve organisations.
• Apply the skills and steps required to gain a competitive advantage using DA.
• Identify the decisions and factors involved in evaluating DA projects.