Data Visualisation with Python – Online ExpertTrack – FutureLearn
Learn to leverage Python libraries to conduct data modeling and build compelling visualisations Do you want to boost your data visualisation and Python skills to transform data into meaningful insights that add real business value As data analysis becomes an increasingly essential practice across industries like finance marketing healthcare and education the demand for data analytics skills is rising dramatically Leverage Python libraries to conduct data modelling On this ExpertTrack youll learn to leverage Python libraries to conduct data modelling and create compelling data visualisations Youll master key Python functions such as Matplotlib to create plot bar charts histograms and scatter plots Youll also learn how to use Seaborn another data-visualisation library to combine aesthetic appeal and powerful technical insight as well as Bookeh to create complex interactive visualisations using advanced layout widgets Interpret and analyse data sets As you progress through the courses youll learn how to interpret quantitative comparisons and statistical visualisations and identify different types of data plots Youll examine uncertainty in data point estimate intervals and confidence bands so that you can learn how to display uncertainty in data and walk through creating a workflow of a visualisation based on exploring a dataset Communicate data insights to stakeholders Many organisations collect and analyse data effectively but are unable to transform their insights into effective decision-making that results in organisational value Throughout this ExpertTrack youll develop advanced data visualisation skills that will help you bring insights to life and convey data in an accessible and meaningful way The courses will guide you through a number of practical exercises asking you to design powerful visualisations of your own using spreadsheet tools Youll conclude your training by considering data analytics as an emerging field and exploring the role of new technologies and practices such as UX design and DataOps Once youve completed all 3 courses youll feel confident in applying design thinking creating dashboards leveraging a variety of data visualisation tools and applying data insights Are data visualisation skills in demand Yes Job postings calling for data visualisation have grown by 540 over the last ve years and specic demands for Tableau skills have grown by 1165 Individuals that can combine foundational skills such as data wrangling and statistical analysis with the use of Python can quickly gain traction in this growing eld as a business or data analyst Data Visualisation Creating dashboards Python Data Analytics Matplotlib Seaborn Bokeh Design Thinking Programming Data Analysis Design Learn to leverage Python libraries to conduct data modeling and build compelling visualisations Leverage Python libraries to conduct data modeling and build compelling visualisations Identify and critique components of effective visualisations charts and visualisation of complex relationships Articulate the thought process of designing an application Define best practices for setting objectives and planning of the data analytics phases
