Data Analysis using Python

Learn Data Analysis using Python programming Python developers in London and also create projects for your portfolio

This course will take place in 3-4 Kirby Street, London, EC1N 8TS. Find on map
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Looking for a
2-12 months
training?
Choose Data Scientist & Data Analyst
Career Programme

Looking for a 2-12 months training?

Choose

Data Scientist & Data Analyst career programme

Upcoming dates

There are no open public schedule dates for Data Analysis using Python course. We can offer you a private training or arrange a public course for you. Contact us here and we can make arrangements for your course.

Course Outline

Data Analysis using Python course overview

This Data Analysis using Python course explains how to use Python to analyse data. After completing this training course you would be able to use Python on your Data Analysis projects.

Few practical Python Data Analysis based projects at the end of the course will ensure that you can apply Python on your projects.

This short Python Data Analysis course is hands-on, instructor-led and classroom based. This training can be taken as a part-time evening course or even on the weekends. A list of all upcoming public training course is given on training dragon website.


Who is Data Analysis using Python training for?

This Data Analysis using Python training is designed for Python programmers. If you have not used Python before, please consider our Python course first.


Prerequisites for Data Analysis using Python course

  • It is not necessary to have knowledge of Data Analysis before you start this course but you must have some practical experience of Python programming language. If you have never used Python before please consider our  Python Programming course first.

If you are a complete beginner in programming, please follow this path.



What will I get?

  • Training from professional Data Analysis using Python developers:

    Training Dragon consultants have been implementing professional Data Analysis using Python solutions across a range of applications for many years. Those consultants write and teach our Data Analysis using Python training courses, so their experience directly informs course content.

  • Real-time Practice and Projects:

    Our Data Analysis using Python courses are designed to get you started in Data Analysis using Python programming. We work on industry related projects in this Data Analysis using Python course.

  • Course Material:

    Data Analysis using Python electronic notes are included in this course.

  • Course Completion Certificate:

    After completing this training you will receive a Data Analysis using Python programming course completion certificate.

  • Support and Careers Advice:

    After the course if you have any problems or questions regarding Data Analysis using Python do not hesitate to contact us. Training Dragon’s trainers are expert in their fields and if you need any help with you career choice, please speak to one of our trainers.


Data Analysis using Python Course Contents

 

View Complete Course outline

Daily schedule

The scheme below shows what a typical day at Training Dragon looks like.

10:00 11:30 11:45 13:00 14:00 15:30 15:45
Classroom Activity
This course explains how to create web pages from scratch using different techniques, such as
Tea
Break
Classroom Activity
This course explains how to create web pages from scratch using different techniques, such as
Lunch
Break
Classroom Activity
This course explains how to create web pages from scratch using different techniques, such as
Tea
Break
Classroom Activity
This course explains how to create web pages from scratch using different techniques, such as
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Looking for a
2-12 months
training?

Choose

Data Scientist & Data Analyst career programme

Our Trainers

Emiliano
Emiliano
Leads our teaching team with many years of experience in teaching web development.
Ross
Ross
Brings many years of Python and Java software development experience to classrooms.
Olu
Olu
Microsoft and Oracle certified developer with years teaching experience in Android, .NET and databases.

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