- Exam(s) / assessment(s) is included in price
- Tutor is available to students
Data Science: Python for Data Science
One Education
Accredited by IAO | Complete Video Lessons from Expert Instructor | Tutor Support Included
Summary
Overview
Course media
Description
This masterclass Python Data Science for Beginners online training course is designed by industry experts and will give you an in-depth understanding of this topic. The Python Data Science for Beginners course features easy-to-digest modules that break down each topic and ensure all our students receive an unrivalled and thorough learning experience.
If you want to work in this rapidly growing sector and stand out from the competition, then our Python Data Science for Beginners is the perfect place to kickstart your dream career.
On the Python Data Science for Beginners course, we guarantee that you will gain relevant skills and acquire tremendous knowledge on the subject. The certificate you’ll achieve after completing the Python Data Science for Beginners course will help you land the job you want in a related field.
Enjoy a pleasant and professional 100% online learning experience and enrol in our Python Data Science for Beginners today and take control of your career!
Course Curriculum:
Here is a curriculum breakdown of the Python Data Science for Beginners course:
***Python Data Science for Beginners***
Unit 01: Introduction to Python Data Science
- Module 01: Introduction to Python Data Science
- Module 02: Environment Setup
Unit 02: Data Cleaning Packages
- Module 01: Numpy package for calculations
- Module 02: Panda package for Data cleaning
Unit 03: Data Visualization packages
- Module 01: Matplotlib Data Visualization Part 1
- Module 02: Matplotlib Data Visualization Part 2
Certification
Once you have finished the Python Data Science for Beginners course, you will be eligible to apply for IAO-accredited certificate as proof of your new skills and your continued professional development. Certificates are available as a PDF for £9, or you can request a hard copy to be sent in the post for £15.
Who is this course for?
The Python Data Science for Beginners training course is ideal for highly motivated individuals who want to enhance their professional skills and train for the job they want! This Python Data Science for Beginners course also suits people aspiring for some in-depth knowledge on this topic and keep up to date with the latest information.
Study the Python Data Science for Beginners course today and increase your professional skillset from the comfort of your home!
Requirements
There are no formal entry requirements for the Python Data Science for Beginners course, with enrollment open to anyone! Anyone and everyone with a knack for learning can enrol this course without any hesitation.
Learn online from any internet device, including your computer, tablet or smartphone. Study when it suits you and complete the Python Data Science for Beginners course at your own pace.
All students must have a passion for learning and literacy, as well as being over the age of 16.
Career path
Studying the Python Data Science for Beginners course is designed to help you get the job of your dreams, or even that promotion you’ve been waiting for a long time. Learn the essential skills and knowledge you need to exceed in your professional life with the help & guidance from our Python Data Science for Beginners course.
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Legal information
This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.
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