Course Library View the full range of courses
-
Accounting (145 courses)
- Xero Accounting and Bookkeeping Online
- Sage 50 Accounting & Payroll
- Project Finance
- Financial Modelling Training
- Tax Accounting
- Introduction to VAT
- Accounting and Finance Course for Managers
- Internal Compliance Auditor
- Financial Statement Analysis
- Payroll Administrator Level 3 Diploma
- View all Accounting courses
-
Language (67 courses)
- British Sign Language (BSL) Level 1 & 2
- Speech and Language Therapy Diploma
- TEFL (TESOL) Course
- English Spelling, Punctuation, and Grammar
- Child & Adult Speech & Language Disorders Training
- Teaching English as Foreign Language (TEFL) Certificate
- Mastering Spanish Language
- French Course for Beginners
- German Course for Beginners
- Body Language and Gesture Training
- View all Language courses
-
Teaching & Education (37 courses)
- Teaching Assistant Complete Course (TA, SEN, Autism, ADHD & Dyslexia) – CPD Certified
- EYFS Teaching Assistant Training Course
- Advanced Diploma in Coaching and Mentoring
- Level 3 Diploma in Teaching and Classroom Management
- Remote Teaching
- SENCO – Special Educational Needs Coordination
- Teaching English as Foreign Language (TEFL)
- Life Coaching
- Phonics Teaching Diploma
- View all Teaching & Education courses
-
Health and Social Care (138 courses)
- Health and Social Care Management
- Paediatric Nursing Assistant
- Mental Health Awareness Training
- Emergency Medicine – Paramedicine
- Level 3 Diploma in Adult Care
- Paediatric First Aid Training
- Safeguarding Children Level 3
- Level 3 Diploma in Anatomy and Physiology of Human Body
- Play Therapy
- The Care Certificate Preparation – Standards (1 to 15)
- View all Health and Social Care courses
-
Management (539 courses)
- Office Admin, Secretarial and PA Diploma
- Estate Agent and Property Management Training
- Diploma in Data Analysis Fundamentals
- Advanced Diploma in Stress & Anxiety Management
- Good Manufacturing Practice (GMP)
- Property Development and Management Course
- Diploma in Hotel Management
- Supply Chain Management
- Quality Assurance (QA) Manager
- Compliance and Risk Management
- View all Management courses
-
IT & Software (123 courses)
- Coding with Python 3
- Search Engine Optimisation (SEO) Training
- Cyber Security
- Motion Graphics with After Effects
- CompTIA A+ Core 1 (220-1101) Course
- Machine Learning for Aspiring Data Scientists
- Next.js Web Dev: Master this Powerful React Framework
- Learn 2D Animation with Adobe Animate
- GDPR Challenges in Education
- View all IT & Software courses
-
Employability (1043 courses)
- Office Administrator Skills
- Presentation Skills
- Legal Secretary and Office Skills
- Hospitality Management
- Estate Agent Diploma
- Hairdressing and Barbering
- Diploma in UK Employment Law
- Diploma in Data Analysis Fundamentals
- Building Surveyor Training
- Emotional Intelligence Training
- View all Employability courses
-
Personal Development (1439 courses)
- Productivity Habits
- Minute Taking Course
- Presentation Skills
- Excel: Top 50 Microsoft Excel Formulas in 50 Minutes!
- Critical Thinking and Problem Solving Skills
- Time Management
- Self Esteem and Confidence Building Course
- Essential IT Skills
- Legal Secretary and Office Skills
- Personality Development
- View all Personal Development courses
Python Data Science
2532 Students (188 Reviews)
Learn Python for data science and develop essential skills in NumPy, Pandas, data analysis, data cleaning, and visualisation.
GET THIS COURSE AND 3000+ OTHERS FOR ONLY £49 PER YEAR. FIND OUT MORE
Overview
The Python Data Science course introduces learners to the essential concepts and tools used to work with data using Python. It provides a clear foundation for understanding how Python can be used to collect, organise, analyse, and interpret information.
Learners will explore important Python concepts alongside data science techniques, including variables, data structures, NumPy, Pandas, data cleaning, data analysis, and visualisation. The course also introduces methods for working with datasets and presenting information in a clear and useful format.
Delivered through flexible online learning, the course allows learners to study at their own pace using an internet-enabled computer, tablet, or smartphone. It is suitable for beginners, students, aspiring data professionals, Python learners, and professionals who want to develop their understanding of Python-based data science.
Learning Outcomes
- Understand the fundamentals of Python data science.
- Use Python for basic data analysis tasks.
- Work with NumPy arrays and numerical data.
- Create and manage Pandas DataFrames effectively.
- Clean and organise datasets for analysis.
- Create basic visualisations from data.
- Interpret and present data findings clearly.
Why choose this course
- Affordable, Accessible, informative and well-structured study materials
- Earn a globally recognised accredited qualification
- Study in your own time, at your own pace, through any device
- Benefit from feedback through mock exams and multiple-choice assessments
- Excellent career advancement/career switch opportunities
- Get 24/7 help or advice from our email and live chat teams
Certification
Certificate of Achievement
After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.
Who Is This Course For:
The Python Data Science course is suitable for beginners, students, Python learners, aspiring data analysts, researchers, business professionals, and anyone interested in data science. It can also benefit learners who want to combine programming knowledge with data analysis and develop skills for further technical study.
Requirements
There are no formal academic entry requirements for this course. Learners should have basic computer skills and a reasonable understanding of English. Some familiarity with Python can be helpful, but previous data science experience is not required.
Career path
- Python Developer
- Business Intelligence Analyst
- Data Engineer
- Research Analyst
- Machine Learning Assistant
Course Curriculum
| Unit 01: Introduction to Python Data Science | |||
| Module 01: Introduction to Python Data Science | 00:03:00 | ||
| Module 02: Environment Setup | 00:10:00 | ||
| Unit 02: Data Cleaning Packages | |||
| Module 01: Numpy package for calculations | 00:16:00 | ||
| Module 02: Panda package for Data cleaning | 00:19:00 | ||
| Unit 03: Data Visualization packages | |||
| Module 01: Matplotlib Data Visualization Part 1 | 00:16:00 | ||
| Module 02: Matplotlib Data Visualization Part 2 | 00:11:00 | ||
| Order Your Certificates & Transcripts | |||
| Order your Certificates & Transcripts | 00:00:00 | ||
Original price was: £319.£25Current price is: £25. ex Vat
SAVE 92% - OFFER ENDS IN
14-Day Money-Back Guarantee
- Personal
- Team
Quantity:
Total:
50% discount for orders of 10+ courses
60% discount for orders of 50+ courses
70% discount for orders of 100+ courses
For more personalised package, contact us
Frequently asked questions
Can’t find the anwser you’re looking for ? Reach out to customer support team.
Python Data Science involves using Python and related tools to work with data. It can include collecting, cleaning, analysing, visualising, and interpreting datasets to identify useful information and patterns.
Yes. The course is suitable for beginners who want to explore data science using Python. It introduces key concepts and tools in a structured way, making it accessible to learners with limited previous experience.
You will learn Python concepts relevant to data science, along with NumPy, Pandas, data cleaning, data analysis, data visualisation, and techniques for working with and interpreting datasets.
Previous Python knowledge can be helpful, but extensive programming experience is not required. Learners with basic computer skills can use the course to develop their understanding of Python and data science.
NumPy is a Python library commonly used for numerical computing. It provides tools for working with arrays and performing mathematical and numerical operations efficiently.
Pandas is a Python library designed for working with structured data. It provides tools such as DataFrames that allow users to organise, filter, clean, transform, and analyse datasets.
Yes. The course introduces basic data visualisation concepts, helping learners understand how information can be represented through charts and other visual formats to make data easier to interpret.
Yes. The course is delivered online, allowing you to study at a convenient time and location. You can access the learning materials using an internet-enabled computer, tablet, or smartphone.
Depending on your wider skills, experience, and qualifications, potential career paths include Data Analyst, Data Scientist, Python Developer, Business Intelligence Analyst, Data Engineer, Research Analyst, and Machine Learning Assistant.
You need an internet-enabled device and a willingness to learn. Basic computer skills and a reasonable understanding of English are recommended. Previous data science experience is not required.