Login

Python for Data Visualization: The Complete Masterclass

Get 92% Discount | CPD Accredited | Affordable Pricing | No Hidden Charges | 24/7 Tutor Support | Instant Access
4.8
9 Reviews

stds145 Students

GET THIS COURSE AND 3000+ OTHERS FOR ONLY £49. FIND OUT MORE

course-highlight Course Highlights

In a fast-paced job market, the ability to work with data and present it visually has become an invaluable skill. The Python for Data Visualization course offers an extensive learning journey, introducing you to the concepts and tools that will enable you to turn raw data into powerful insights. The course begins by familiarising you with the core Python libraries, such as Matplotlib and Seaborn, before progressing to interactive visualisations using Plotly. As industries across the globe rely on data to guide decision-making, the demand for professionals proficient in Python and data visualisation continues to rise.

Take the example of a financial analyst at a global bank. By leveraging the skills learned in this course, the analyst can use Python to generate insightful visualisations that not only demonstrate trends but also predict future financial movements. This ability to interpret and communicate data is essential, as it influences key business decisions and strategy. As companies increasingly turn to data-driven approaches, those with expertise in Data Visualisation will find themselves in high demand, with opportunities in diverse sectors such as finance, marketing, and healthcare.

Completing this course empowers you to build a career centred around Python and Data Visualisation, allowing you to stand out in a competitive job market. With the skills to present complex data effectively, you’ll help organisations uncover the stories hidden within their numbers.

course-benefits Learning outcome

course-why Why should I take this course?

course-requirement Requirements

Curriculum

  • play Installing the Anaconda Navigator
    play 00:07:00
  • play Installing Matplotlib, seaborn & cufflinks
    play 00:03:00
  • play Reading data from a csv file with pandas
    play 00:03:00
  • play Explaining Matplotlib libraries apart
    play 00:07:00
top