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Data Science and Machine Learning using Python - A Bootcamp

IT & Software
Introduction
9,020 Students
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Data Science and Machine Learning using Python - A Bootcamp

Data Science and Machine Learning using Python - A Bootcamp

Level 2
Duration 1 year
Lessons 18
Certification Yes

Course Overview

Data Science and Machine Learning using Python - A Bootcamp is an intensive, career-focused programme designed to equip you with practical skills in data analysis, machine learning, and artificial intelligence using Python. This instructor-led bootcamp combines theory, hands-on coding, and real-world projects to help you build job-ready expertise in one of today’s most in-demand technology fields.

Throughout this comprehensive training, you will learn how to collect, clean, analyse, and visualise data, as well as design and deploy predictive models. The course provides structured guidance on Python programming, data science workflows, and advanced machine learning techniques to help you confidently solve real-world business problems.

All learning materials are delivered fully online, allowing you to study at your own pace while building a strong portfolio of practical projects.

Course Features

  • Interactive video lectures delivered by industry experts
  • Instant e-certificate upon successful completion
  • Optional hard copy certificate dispatch (shipping charges may apply)
  • Fully online, interactive course with professional voice-over
  • Self-paced learning accessible via laptop, tablet, and smartphone
  • 24/7 learner support assistance
  • Special discounts available for bulk enrolments

Main Course Topics

  • Python programming fundamentals for data science
  • Working with NumPy, Pandas, and Matplotlib for data analysis and visualisation
  • Data preprocessing and feature engineering techniques
  • Building machine learning models using Scikit-learn
  • Classification, regression, and clustering algorithms
  • Model evaluation and performance optimisation
  • Introduction to deep learning with TensorFlow and Keras
  • Real-world projects and end-to-end machine learning workflows

Who This Course Is For

  • Aspiring data scientists and machine learning engineers
  • Professionals transitioning into data-driven roles
  • Software developers expanding into AI and analytics
  • Students and researchers exploring data science concepts
  • Anyone interested in building practical Python-based ML skills

Learning Outcomes

By completing this bootcamp, learners will be able to:

  • Master Python fundamentals and essential data science libraries
  • Clean, analyse, and visualise datasets effectively
  • Develop predictive models for classification, regression, and clustering
  • Apply deep learning techniques for advanced applications
  • Interpret model results and communicate insights clearly
  • Design and implement end-to-end machine learning solutions
  • Build a professional project portfolio for career advancement

Assessment

At the end of the course, learners will complete an online assessment to validate their knowledge and practical understanding. Results are generated instantly upon submission. There is no limit to the number of retakes, and the assessment is included within the one-time course fee.

Certification

Upon successful completion of the course and assessment, learners will receive a digital certificate recognising their achievement in Data Science and Machine Learning using Python - A Bootcamp. A printed certificate can also be requested and delivered by post (shipping charges may apply). Certifications do not expire; however, periodic updates are recommended to stay aligned with evolving AI and data science technologies.

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  • 1 year
  • 2
  • Yes
  • 18 Lessions

£25.00

£125.00

  • ✔ SIA Approved
  • ✔ Certificate Included
  • ✔ Secure Payments
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Jenny Pitman

Easy to follow and relevant information. Option to re-do quizzes was great too.

4 months ago
Jaimie

Got way more than I expected with this course. Extremely detailed. You're able to engage in the modules as much or as little as your time availability. I highly recommend.

4 months ago
Florence Nazareth

The course was very in-depth, informative and covered quite a wide variety of subjects.

4 months ago
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