Basics of Data Analytics
A Beginner’s Guide to Data Analytics
Through this training on Basics of Data Analytics you will discover how to transform data into amplified intelligence and implement technical solutions as a data-led innovator.
What will you achieve?
On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.
By the end of the course, you‘ll be able to…
- 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.
Explore the components of a successful data analytics ecosystem
Organizations 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 organization, 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 organizations.
Using business cases to contextualize your learning, you’ll examine each step of the data analytics journey, learning to identify where your organization currently sits and develop your own data optimization 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 organization’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.
Data analytics — an overview
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.
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.
Evaluating 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.
Who is the course for?
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.