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Data Science with Python - QLS Endorsed
QLS Level 1 Course | 10 FREE CPD Courses & PDF Certificates | CPD Accredited | Installment Payment | Tutor Support
Imperial Academy
Summary
- CPD Certificate - Free
- Hard Copy QLS Certificate - Free
- Exam(s) / assessment(s) is included in price
- Tutor is available to students
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Overview
This Data Science bundle training will help you become an expert in a relevant sector. Our world-class course creators will help you with every query throughout your learning journey and assist you in mastering Data Science with Python. So, add this course to your basket — harness the coveted wisdom and open the door to your next breakthrough!
Whether you’re an aspirant looking to start your dream career, a professional looking to branch out, or somebody in between — this Data Science with Python, QLS Endorsed Course will get you sorted. The fundamental understanding in this course will add tremendous value and enable you to establish the meaningful career you’ve always craved.
ENROL NOW in our “Data Science with Python” today and Start Learning.
QLS Endorsed Course:
- Course 01: Python Data Science at QLS Level 1
★ FREE 10 CPD Courses ★
- Course 01: Python Programming: Beginner To Expert
- Course 02: Higher Order Functions in Python
- Course 03: Python for Spatial Analysis in ArcGIS
- Course 04: Easy to Advanced Data Structures
- Course 05: Google Data Studio
- Course 06: Diploma in Data Analytics with Tableau
- Course 07: Business Intelligence and Data Mining
- Course 08: Mastering SQL Programming
- Course 09: Creativity and Problem-Solving Skills
- Course 10: Time Management
Why Choose Imperial Academy?
- Fully Online Training
- Free QLS Endorsed & CPD Accredited Certificate
- No Time Limits. Study at Your Own Pace
- Expert Instructors
- Audio Visual Training
- Up-to-date Curriculum and Valuable Guidelines
Achievement
Certificates
CPD Certificate
Digital certificate - Included
Hard Copy QLS Certificate
Hard copy certificate - Included
CPD
Course media
Description
Launch the dynamic career you’ve always wanted! Take this high-quality Data Science with Python Bundle training to articulate your innovative goals and develop a simple approach to attaining them.
Course Curriculum:
Python Data Science at QLS Level 1
- Module 01: Introduction To Python Data Science
- Module 02: Environment Setup
- Module 03: Numpy Package For Calculations
- Module 04: Panda Package For Data Cleaning
- Module 05: Matplotlib Data Visualization Part 1
- Module 06: Matplotlib Data Visualization Part 2
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Who is this course for?
This Data Science with Python course will be a great source of knowledge to improve your existing aptitudes and take them to the next level.
Disclaimer
This Data Science with Python course has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This Data Science with Python course is not regulated by Ofqual and is not an accredited qualification. One Education will be able to advise you on any further recognition. For details, please visit the Learner FAQs on the Quality Licence Scheme website.
Imperial Academy is an approved reselling partner for Quality Licence Scheme courses under One Education.
Requirements
Anyone can enrol in this Data Science with Python bundle course.
Career path
- Data Scientist: £30,000 - £90,000 per year
- Data Analyst: £20,000 - £50,000 per year
- Business Analyst: £25,000 - £70,000 per year
- Data Engineer: £35,000 - £85,000 per year
- Machine Learning Engineer: £40,000 - £100,000 per year
- Business Intelligence Analyst: £30,000 - £70,000 per year
- Chief Data Officer: £80,000 - £200,000 per year
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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.