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.

• Data analytics — an overview
• Introduction to data analytics
• Integrating data analytics into business
• What are the four main types of data analytics?
• What are the main skills and roles in data analytics?
• How can data analytics be implemented in my organization?
• Data analytics types
• What is descriptive analytics?
• Implementing technical solutions
• What is diagnostic analytics?
• What is predictive analytics?
• Digital transformation and competitive advantage with data analytics
• What is prescriptive analytics?
• Data analytics and digital transformation
• Gain and sustain a competitive advantage using data analytics
• Evalulating data analytics projects