Learn about creating visualisation and understanding data visualisation with python through Data Visualisation With Python: Seaborn and Scatter Plots training.
The Data Visualisation With Python: Seaborn and Scatter Plots online course is offered by the FutureLearn portal in collaboration with Coventry University, U.K. It is one of the parts of the Data Visualisation With Python programme offered which is available on the portal. Through this course, learners will learn the use of seaborn in python, understand the uncertainty in data and visualisation workflow. Also, candidates will learn the use of different tools in data visualisation.
The Data Visualisation With Python: Seaborn and Scatter Plots training is for four weeks duration in online mode. This course will be instructed by Ed Marks with English as a medium of instruction, in which candidates will have to give inputs of four hours weekly to complete the Data Visualisation With Python: Seaborn and Scatter Plots certification syllabus. To apply for this course, students will have to visit the provider’s official website and enroll on it. For details regarding the course, admission process, fee structure, etc, please go through the article below.
Fee Structure of the Data Visualisation With Python: Seaborn and Scatter Plots Course
Course
Fee Details
Data Visualisation With Python: Seaborn and Scatter Plots Course
Candidates who are willing to take admission to the Data Visualisation With Python: Seaborn and Scatter Plots training course will get a free trial of the FutureLearn portal for seven days. After completion of the free trial, candidates have to take the monthly subscription for the portal which will cost up to ₹900/month. This amount has to be paid through online mode only.
Yes
Futurelearn
The Data Visualisation With Python: Seaborn and Scatter Plots online course will help professionals to develop their skills and tools knowledge by using python to produce different visualisations for their organisation or for any project. After completing this course, data analysts will gather knowledge to create and customise different plots and visual data representations for their individual projects or for the projects of the organisation. Freshers after completing this course will be able to use the Python language in different projects for different sectors. This knowledge will lead to new career options in different fields.
For admission to the Data Visualisation With Python: Seaborn and Scatter Plots training course, there is no specific eligibility requirement for admission to this course.
Certificate Qualifying Details
Candidates must have to complete all the Data Visualisation With Python: Seaborn and Scatter Plots certification syllabus and appear in the online assessments of the course. At the end of the course, candidates will get a completion certificate of the course.
Through Data Visualisation With Python: Seaborn and Scatter Plots online course, candidates will be able to:
The Data Visualisation With Python: Seaborn and Scatter Plots training course benefits are:
Mr Ed Marks Instructor Freelancer
Candidates who are willing to take admission to the Data Visualisation With Python: Seaborn and Scatter Plots certification course will have to take a monthly subscription for the portal after completing the free trial offered by FutureLearn portal.
The Data Visualisation With Python: Seaborn and Scatter Plots training course is a four-week course, in which learners will have the opportunity to learn about the python programming language and different plots and visualisations.
Candidates will have to register on the official website of the FutureLearn portal by using this link - https://www.futurelearn.com/courses/data-visualisation-with-python-seaborn-and-scatter-plots.
The Data Visualisation With Python: Seaborn and Scatter Plots online course will be taught in online mode by Ed Marks.
For admission to the Data Visualisation With Python: Seaborn and Scatter Plots certification course, candidates do not require any special eligibility requirements to take admission to this course. Anyone can take admission to this training course just by registering on the FutureLearn portal.
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