Data Visualisation
Learn Path Description
Transform business intelligence into game-changing data insights with Tableau
Are you struggling to tell meaningful stories with your data? Effective data visualization allows you to build a narrative with data that resonates with your audience and turns your analytics into actions that drive growth, engagement, and profits.
You’ll be guided through the process of presenting your data more effectively as you learn how to:
Identify components of an effective data visualization
Recognize design considerations when creating charts and visualizing complex relationships
Identify key business metrics to prepare strategies
Create and visualize predictive models and forecasts
Articulate best practice for working with data, and highlight ethical considerations.
Explore the theories behind effective data visualization
From individual elements through to selecting the right metrics to display, you’ll discover the principles behind impactful data visualization design.
This theory-led section of the ExpertTrack will take you through key concepts in data visualization before moving on to practical work and exercises.
Turn business intelligence into data stories using Tableau
After you’ve explored core data principles, you’ll move onto the practicalities of turning data analytics into usable dashboards that will revolutionize how your business builds and reviews strategies.
You’ll use market-leading software, Tableau, to make your data more accessible and effective as a decision-making tool.
Once you have grasped the key elements of dashboards and how to evaluate them for accessibility, you’ll learn useful strategies for deploying dashboards across your organization.
Expand your career options with in-demand data analytics skills
Already valued at $138.9 billion in 2018, the global data analytics market is expected to reach $229.4 billion by 2025, offering career opportunities across many industries and specialties.
Being able to help businesses interpret and act upon their data is a highly in-demand skill – in the LinkedIn 2020 Skills Survey, Business Analysis made the biggest jump to number six in the list, while analytical reasoning was number three.
With such high demand and projected growth, upskilling to build a strong understanding of data analytics and visualization can open up a range of lucrative and rewarding career options around the world.
Content for this ExpertTrack has been adapted from the Data Analytics for Business with Tableau Training Microcredential - if you want to find out more, take a look at this Microcredential which offers smaller cohorts with tutor interactions and academic credit
Skills You Will Gain
Courses In This Learning Path
Total Duration
4 weeks
Level
Advanced
Learn Type
Certifications
Data Visualisation: Data Visualisation with Tableau Fundamentals
This course covers the basics of Tableau data preparation, from relationships and individual elements to data preparation. Before moving onto the hands-on exercises, you'll be taught design principles and how to identify key elements of a dashboard. The first step in creating and presenting powerful dashboards is to identify the components of a data visualisation. We'll discuss design considerations and theories for creating charts and presenting complex relationships with data. Experian, Siemens and Coca-Cola are just a few of the many companies that use Tableau. This market-leading software will be used throughout the course and ExpertTrack. You will learn how to prepare your data.
After you have mastered the theory, the next step is to create your dashboards using common chart types and interactive elements in Tableau. This will give you many options for presenting and reviewing your data sets. You'll be able to identify useful areas in Tableau and will have a solid foundation in data visualization theory. Once you finish this course you can create your dashboards and distribute them throughout your organization.
Total Duration
4 weeks
Level
Intermediate
Learn Type
Certifications
Data Visualisation: Creating charts and complex visualisations in Tableau
Find out how to identify the best metrics for data dashboards. Also, learn how to identify the most efficient components to help you tell data stories using beautiful visualisations.
This course is the second part in the Data Visualisation ExpertTrack. It will help you to put theory into practice.
This course will teach you how to create interactive dashboards with Tableau.
With Tableau, you'll be able to learn both the strategic and practical steps to effectively communicate your insights to key stakeholders and audiences.
You must choose the right metrics to tell the right story.
This aspect of data visualisation directly affects the types of charts, output, and components you will work with, as well as the effectiveness of your dashboards.
It is crucial that everyone in your organization can read and understand data dashboards. This will ensure their effectiveness.
This course will teach you how to assess your dashboards for accessibility, and how to make adjustments to make sure that every reader is satisfied.
After your data visualisations are created, you will need a plan to distribute them across the company at the correct time and at the appropriate levels.
This course will help you make informed decisions about when and how to release information.
Total Duration
4 weeks
Level
Advanced
Learn Type
Certifications
Data Visualisation: Data Dashboards and Storytelling with Tableau
Data visualization is an excellent tool for predictive analysis. It can also bring statistical models to life in your organization.
Learn how to use data to make predictions for business and deal with ethical issues.
This third course in the Data Visualisation ExpertTrack will cover statistical techniques as well as the importance of refining models used for data analysis.
As demand for data visualization and data analytics skills increases, these skills will be a boon for data professionals in a variety of industries.
It is crucial to understand the fundamental mechanics of your predictive model in order to test and refine them. Learn how to assess the effectiveness of each model by reviewing the theories and ideas that underpin predictive analytics.
These theories will allow you to analyze your data better and identify the best models for your business, customers and current markets.
There are both legal and ethical considerations when you use and manipulate personal data. These issues will be identified and communicated to your company to ensure compliance with the law and corporate social responsibility.
This course, which is the final in ExpertTrack's ExpertTrack series, will make you confident in creating data visualisations that are effective, responding to challenges, and making sure your organization is adhering to legal and ethical data handling requirements.
