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Enquire- Welcome To The Course
- Introduction To Bokeh
- Basic Plotting With Bokeh
- Layouts, Interactions and Annotations
- Wrap-up
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- Data Visualisation with Python Bokeh and Advanced Layouts
Data Visualisation with Python: Bokeh and Advanced Layouts
BY
Futurelearn
Learn about the use of bokeh, data plotting in Python and data exploration through the Data Visualisation with Python: ...Read more
Online
4 Weeks
Quick Facts
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Collaborators
Tableau Software,
+1 more
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Learning efforts
4 Hours Per Week
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Course overview
The Data Visualisation with Python: Bokeh and Advanced Layouts course is a part of the data visualisation with python which is offered by the FutureLearn portal in collaboration with Coventry University, U.K. In this course, learners will understand different phases of data exploration, data analysis and learn about the plot layouts, interactions and annotations using python on bokeh. This course will be delivered in online mode.
The course will be conducted by Ed Marks using English as a medium of instruction. The duration of the course will be four weeks wherein candidates will have to invest at least four hours per week to complete the course modules on time. To apply for this course, candidates are advised to check the provider’s official website and register for the Data Visualisation with Python: Bokeh and Advanced Layouts online course. For details related to this course, please check the article below.
The highlights
- Future Learn Course
- Certificate of Completion from Coventry University, U.K
- 4 Weeks Course
- 100% Online course
- Self-Paced Course
Program offerings
- Certificate of completion
- Live lectures
- Recorded lectures
- Study materials
- Interactive sessions
- Doubt session
Course and certificate fees
For Data Visualisation with Python: Bokeh and Advanced Layouts course, candidates will get a seven day free trial for the Futurelearn portal. After the completion of the free trial, they have to take the monthly subscription of the future learn portal of Rs 900
Data Visualisation with Python Bokeh and Advanced Layouts Fees Structure
| Course | Fees |
| Data Visualisation with Python Bokeh and Advanced Layouts | rs 900 |
certificate availability
Yes
certificate providing authority
Futurelearn
Who it is for
The Data Visualisation with Python: Bokeh and Advanced Layouts training programme help working professionals with data to use data analytics for their organisation. Also, it will help them to progress further in their careers. Business analysts and data analysts will be able to develop their data visualisation skills by using python and create projects individually or for their organisation. Freshers who have experience in programming will get an opportunity to enter the data analytics field after completing this course.
Eligibility criteria
Anyone can take admission to the Data Visualisation with Python: Bokeh and Advanced Layouts training programme.
Certificate Qualifying Details
Students will qualify for the certificate of completion after successfully completing the course modules and pass the assessments for the Data Visualisation with Python: Bokeh and Advanced Layouts course.
What you will learn
Knowledge of python
Data science knowledge
Knowledge of deep learning
Designing skills
The key topics that learners will from the Data Visualisation with Python: Bokeh and Advanced Layouts course are:
- Use of the bokeh in Python and what are the functions of bokeh.
- Along with this, candidates will get knowledge of advanced features of layouts and how to apply them in the projects.
- Candidates will learn how data analysis is done and what are the phases of data exploration.
- Candidates will gain knowledge about UI UX Design
The syllabus
Week 1: Introduction to Bokeh, Basic Plotting and Layouts
Week 2: Annotations and Interactive Visualisations
- Introduction
- Layouts, Interactions and Annotations
- Building Interactive Visualisations
- Wrap-up
Week 3: An End-To-End Exploration and Analysis
- Introduction
- End-To-End Exploration and Analysis
- Ethical Concerns
- Wrap-up
Week 4: An End-To-End Exploration and Analysis
- Introduction
- New Ways of Working
- Next Steps
- Wrap-up
Admission details
- For admission to the Data Visualization with Python: Bokeh and Advanced Layouts course, candidates will have to register on the future learn portal by using this link - https://www.futurelearn.com/courses/data-visualisation-with-python-bokeh-and-advanced-layouts
- After opening the link, students will be redirected to the registration page of the future learn portal.
- Candidates have to provide details such as the candidate’s full name, age, email id, and password for the FutureLearn portal.
- Next, candidates will have to log in to the portal by using the same credentials provided at the time of registration.
- Opt for the Data Visualization with Python: Bokeh and Advanced Layouts course on future learn portal and enroll for it.
How it helps
Candidates will be able to use bokeh for creating interactive visualisations and dashboards and customise it as per the requirements of the client. Also, they will develop the plot layouts and sliders. Candidates will gain knowledge about the use of dataops and UX design and other emerging technologies to analyse data.
Instructors
Mr Ed Marks
Instructor
Freelancer
FAQs
What is the duration of the Data Visualisation with Python: Bokeh and Advanced Layouts training programme?
The course is a four weeks programme, students have to give four hours per week to complete the topics of the Data Visualisation with Python: Bokeh and Advanced Layouts training programme.
What is the medium of teaching used to instruct the Data Visualisation with Python: Bokeh and Advanced Layouts course?
The Data Visualisation with Python: Bokeh and Advanced Layouts course will be taught online on the future learn portal.
Who will instruct the Data Visualisation with Python: Bokeh and Advanced Layouts course?
The Data Visualisation with Python: Bokeh and Advanced Layouts course will be instructed by Ed Marks.
What will a student get after completing the Data Visualisation with Python: Bokeh and Advanced Layouts training programme?
Students will be awarded an e-certificate of completion of the Data Visualisation with Python: Bokeh and Advanced Layouts training programme. Students can use this certificate online or take a printout and include it in their CVs.
How to register for the Data Visualisation with Python: Bokeh and Advanced Layouts course?
Students have to register on the future learn portal for the Data Visualisation with Python: Bokeh and Advanced Layouts course by using this link - https://www.futurelearn.com/courses/data-visualisation-with-python-bokeh-and-advanced-layouts and complete the registration process of the future learn portal.
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