Displaying 1-10 of 10 results
Communicating business analytics results
- Website
- Coursera
In this course, you will learn how to communicate analytics results to stakeholders who do not understand the details of analytics but want evidence of analysis and data. You will be able to choose the right vehicles to present quantitative information, including those based on principles of data visualisation. You will also learn how to develop and deliver data analytics stories that provide context, insight and interpretation.
Data visualisation
- Website
- Coursera
Learn the general concepts of data mining along with basic methodologies and applications. Then dive into one subfield in data mining: pattern discovery. Learn in-depth concepts, methods and applications of pattern discovery in data mining. We will also introduce methods for pattern-based classification and some interesting applications of pattern discovery.
Data visualisation and communication with Tableau
- Website
- Coursera
In this course you will learn how to become a master at communicating business-relevant implications of data analysis. By the end, you will know how to structure your data analysis projects to ensure they yield results for your stakeholders. You will also know how to streamline your analysis and highlight implications efficiently using visualisations in Tableau.
Data visualisation fundamentals
- Website
- Coursera
The main goal of this specialisation is to provide the knowledge and practical skills necessary to develop a strong foundation on information visualisation and to design and develop advanced applications for visual data analysis.
Data visualisation in R
- Website
- DataCamp
This course provides a comprehensive introduction to plotting data with R’s default graphics system, base graphics. We then look at a number of R plotting examples, from simple graphs such as scatterplots to plotting correlation matrices. The course finishes with exercises in plot customisation.
Improving your data visualisation with Python
- Website
- DataCamp
The main goal of this course is to teach you how to take data that, at first glance, has little meaning and present it in a way that makes sense to people. Various techniques have been developed to present data visually. In this course we will be using data visualisation libraries in Python, namely Matplotlib, Seaborn and Folium.
Introduction to data visualisation in Python
- Website
- DataCamp
This course extends Intermediate Python for Data Science to provide a stronger foundation in data visualisation in Python. Topics covered include customising graphics, plotting two-dimensional arrays, statistical graphics and working with time series and image data.
Tableau 10
- Website
- Udemy
Learn data visualisation through Tableau 10 and create opportunities to discover data patterns such as customer purchase behaviour, sales trends or production bottlenecks. You will learn all of the features in Tableau that allow you to explore, experiment with, fix, prepare and present data easily and quickly.
Tableau 10 advanced
- Website
- Udemy
Ready to take your Tableau skills to the next level? In this course you will learn how to use groups and sets to increase your work efficiency; everything about table calculations and how to use their power in your analysis; how to perform analytics and data mining in Tableau; how to create animations and much more.
Visualising COVID19
- Website
- DataCamp
Within months, COVID-19 went from an epidemic to a pandemic. From the first identified case in December 2019, how did the virus spread so fast and widely? In this free R project, you will visualise data from the early months of the coronavirus outbreak to see how this virus grew to be a global pandemic.
Displaying 1-10 of 10 results