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A Beginner’s Guide to Data Analytics

Discover how to transform data into amplified intelligence and implement technical solutions as a data-led innovator with this online course from BoxPlay.

Duration

3 weeks

Weekly study

3 hours

100% online

How it works

Unlimited subscription

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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.

Week 1
Data analytics — an overview
- Introduction to data analytics
  Introduction to the course and defining key terms related to data analytics, with an opportunity for learners to identify what they already know.
- Integrating data analytics into business
  Exploring how data analytics can be helpful and applicable for business decisions by creating and implementing an effective data strategy. Looking at what a data ecosystem is and how past data can help predict future trends.
- What are the four main types of data analytics?
  Taking a much more detailed look at the four types of data analytics, and how to merge the past and present aspects of data analytics to get a clear picture of what needs to be done in the present.
- What are the main skills and roles in data analytics?
  A look at the various skills needed for effective data analytics, and the roles that correspond to these skills.
- How can data analytics be implemented in my organization?
  A look at the practical implementation of data analytics, with a breakdown of how this can best be achieved for small, medium and large organizations.
Week 2
Data analytics types
- What is descriptive analytics?
  By the end of this activity, learners will be better able to explain the principles, benefits and challenges of descriptive analytics.
- Implementing technical solutions
  This activity examines various technical aspects of the initial stages of data analytics, such as the data pipeline, warehousing, data protection, and visualization. It gives expert perspectives on each aspect.
- What is diagnostic analytics?
  By the end of this activity, learners will be better able to explain the principles, benefits and challenges of diagnostic analytics.
- What is predictive analytics?
  By the end of this activity, learners will be better able to explain the principles, benefits and challenges of predictive analytics.
Week 3
Digital transformation and competitive advantage with data analytics
- What is prescriptive analytics?
  By the end of this activity, learners will be better able to explain the principles, benefits and challenges of prescriptive analytics.
- Data analytics and digital transformation
  This activity allows the learners to explore the principles of using data analytics to transform organizations and gain advantage.
- Gain and sustain a competitive advantage using data analytics
  This activity gives learners the opportunity to apply the skills and steps required to gain a competitive advantage using data analytics.
- Evalulating data analytics projects
  By the end of this activity, learners will be better able to identify the decisions and factors involved in evaluating data analytics projects.