Information & Digital Technologies with Python Data Science

Janets

Certificate of completion

Digital certificate - £15.99

Multiple Choice Questions (MCQ)/Assignment

Included in course price

This course bundle provides a strong foundation in information systems, Python programming, and data-driven technologies. Learners explore computing concepts, data structures, and software development while developing technical fluency in Python. The course further integrates principles of data analysis, machine learning, and automation, allowing learners to confidently apply coding techniques to various real-world datasets.

Throughout the training, learners are guided through topics in database management, cloud computing, digital systems architecture, and cyber awareness, ensuring a holistic understanding of the digital environment. Emphasis is placed on analytical reasoning, programming logic, and computational thinking to enhance problem-solving abilities and data handling confidence.

By the end, participants will possess a comprehensive grasp of both technological and analytical frameworks that support decision-making in business, research, and innovation. This well-rounded approach ensures that learners are equipped to pursue career growth in the expanding fields of digital and data technologies.

Course Curriculum:

• Course Overview & Table Of Contents
• Introduction To Machine Learning
• System And Environment Preparation
• Learn Basics Of Python
• Learn Basics Of NumPy
• Learn Basics Of Matplotlib
• Learn Basics Of Pandas
• Understanding The CSV Data File
• Load And Read CSV Data File
• Dataset Summary
• Dataset Visualization
• Multivariate Dataset Visualization
• Data Preparation
• Feature Selection
• Refresher Session - The Mechanism Of Re-Sampling, Training And Testing
• Algorithm Evaluation Techniques
• Algorithm Evaluation Metrics
• Classification Algorithm Spot Check
• Regression Algorithm Spot Check
• Compare Algorithms
• Pipelines
• Performance Improvement
• Export, Save And Load Machine Learning Models
• Finalizing A Model - Introduction And Steps
• Finalizing A Classification Model - The Pima Indian Diabetes Dataset
• Quick Session: Imbalanced Data Set - Issue Overview And Steps
• Iris Dataset : Finalizing Multi-Class Dataset
• Finalizing A Regression Model - The Boston Housing Price Dataset
• Real-Time Predictions
• Resources

• Suitable for those eager to gain digital literacy and data analysis expertise in today’s rapidly evolving technology landscape.
• Perfect for learners passionate about Python programming and the intersection between technology, analytics, and business strategy.
• Ideal for professionals aiming to upskill or transition into data-centric and technology-driven roles across diverse industries.
• Beneficial for entrepreneurs seeking to leverage data science and automation for smarter business decision-making and innovation.
• Designed for students or graduates aiming to enhance employability by mastering essential data and programming skills.

Learners should have basic computer literacy and a keen interest in programming, technology, and analytical problem-solving for professional growth.

• Data Analyst (£35,000 – £55,000)
• Python Developer (£40,000 – £70,000)
• Data Scientist (£45,000 – £85,000)
• IT Consultant (£38,000 – £75,000)
• Business Intelligence Analyst (£40,000 – £65,000)
• Machine Learning Engineer (£50,000 – £90,000)
• Software Developer (£35,000 – £60,000)

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