Course Description
The Data Science & Artificial Intelligence programme at
Skill Alleyway is a comprehensive
Data Science Course that combines the power of
Artificial Intelligence, Machine Learning,
Business Analytics, and Data Analytics into one
industry-focused learning experience. Designed for students, graduates,
working professionals, and career changers, this live online programme
helps learners build practical skills required for today’s rapidly growing
technology industry.
This programme covers the complete Data Science lifecycle, from
Python Programming for Data Science and
SQL to Machine Learning, Artificial Intelligence,
Big Data, Data Engineering, Data Visualization, and predictive analytics.
Through live mentor-led sessions, practical assignments, and real-world
business projects, you’ll gain hands-on experience working with industry
tools and technologies used by leading organisations worldwide.
Unlike traditional Data Science Classes, this programme follows
a Project Based Learning approach. Every module includes practical
exercises, industry case studies, and portfolio projects that prepare you
to solve real business challenges using data and AI. You’ll also receive
expert mentorship, career guidance, and placement assistance throughout
your learning journey.
Whether you want to become a Data Scientist,
AI Engineer, Machine Learning Engineer,
Business Analyst, or Data Analyst, this
programme provides the technical knowledge, practical experience, and
career support needed to achieve your professional goals.
What You’ll Learn
- Python Programming for Data Science and Artificial Intelligence.
- SQL for database management and business data analysis.
- Statistics and probability for data-driven decision making.
- Data Cleaning, Data Wrangling, and Feature Engineering.
- Exploratory Data Analysis using real-world datasets.
- Machine Learning algorithms for prediction and classification.
- Artificial Intelligence concepts and intelligent business applications.
- Business Analytics and Data Analytics techniques.
- Big Data fundamentals and Data Engineering concepts.
- Interactive Data Visualization using Power BI and Tableau.
- Generative AI fundamentals and Prompt Engineering basics.
- Real-world Data Science Projects for portfolio development.
- Resume building, LinkedIn optimisation, interview preparation, and career guidance.
Course Highlights
- Live Online Mentor-Led Classes
- Industry-Focused Curriculum
- Project Based Learning
- Hands-on Data Science Projects
- Artificial Intelligence & Machine Learning Training
- Python Programming for Data Science
- SQL and Database Training
- Business Analytics & Data Analytics
- Big Data and Data Engineering Fundamentals
- Interactive Dashboard Development
- Power BI & Tableau Training
- Real Business Case Studies
- Capstone Industry Project
- GitHub Portfolio Development
- Expert Industry Mentors
- Resume & LinkedIn Optimisation
- Mock Technical Interviews
- Career Development Sessions
- Placement Assistance
- Industry-Recognised Certificate
- Recorded Sessions for Revision
- Weekend & Evening Learning Batches
Who Should Enrol?
- Students interested in Data Science and Artificial Intelligence.
- Graduates planning to build a career in Data Analytics.
- Working professionals transitioning into AI and Machine Learning.
- Software Developers looking to expand their technical expertise.
- Business professionals interested in Business Analytics.
- Engineers exploring Big Data and Data Engineering.
- Professionals seeking practical Data Science Certification and AI skills.
What You’ll Achieve
By completing the Data Science & Artificial Intelligence
programme, you’ll gain practical expertise in analysing complex datasets,
building predictive models, creating intelligent AI solutions, and solving
business problems using modern Data Science technologies.
- Develop industry-ready Data Science and AI skills.
- Build Machine Learning models using Python.
- Analyse structured and unstructured data confidently.
- Create interactive dashboards using Power BI and Tableau.
- Apply Artificial Intelligence techniques to business challenges.
- Work with SQL databases and Business Analytics tools.
- Understand Big Data and Data Engineering workflows.
- Build a professional portfolio through real-world projects.
- Prepare for Data Scientist, Data Analyst, AI Engineer, Machine Learning Engineer, and Business Analyst roles.
- Receive continuous career guidance and placement support.
Curriculum
- 13 Sections
- 95 Lessons
- 28 Weeks
Expand all sectionsCollapse all sections
- Module 1 – Introduction to Data Science & Artificial IntelligenceBuild a strong foundation in Data Science and Artificial Intelligence by understanding their core concepts, real-world applications, and business value. This module introduces learners to a professional Data Science Course and Artificial Intelligence Course, explaining how AI and data-driven technologies are transforming industries across the UK and worldwide.6
- Module 2 – Python Programming for Data ScienceMaster Python programming for Data Science, Artificial Intelligence, and automation. Learn variables, data structures, functions, object-oriented programming, and essential Python libraries such as NumPy and Pandas. This module develops the coding skills required for a successful Machine Learning Course and professional data science career.10
- Module 3 – SQL & Database ManagementLearn SQL and database management techniques used to store, retrieve, and analyse structured data efficiently. Topics include SQL queries, joins, indexing, database design, stored procedures, and optimisation. This module provides practical expertise expected from a professional SQL Course, Data Analytics Course, and Data Science Course.9
- Module 4 – Statistics & Data AnalysisUnderstand statistical methods and analytical techniques used in modern Data Science and Artificial Intelligence. Learn descriptive statistics, probability, hypothesis testing, regression, exploratory data analysis, and predictive modelling. These concepts form the mathematical foundation for every Data Science Masters and Machine Learning Course.8
- Module 5 – Data VisualizationTransform complex datasets into meaningful visual insights using Matplotlib, Seaborn, Plotly, and Power BI. Learn dashboard development, business reporting, storytelling with data, and visual analytics to support better decision-making. This module complements a professional Power BI Course and strengthens practical Data Analytics Certification skills.8
- Module 6 – Machine LearningExplore supervised learning, unsupervised learning, feature engineering, model training, model evaluation, and predictive analytics using Scikit-learn. Through practical exercises and real-world datasets, learners gain the technical expertise expected from an advanced Machine Learning Course, Artificial Intelligence Course, and AI Certification pathway.10
- Module 7 – Artificial IntelligenceDiscover how Artificial Intelligence is applied across healthcare, finance, retail, manufacturing, education, and business. Learn intelligent automation, computer vision, natural language processing, recommendation systems, and AI ethics. This module enhances knowledge gained throughout the Artificial Intelligence Course UK and prepares learners for modern AI careers.6
- Module 8 – Generative AI & Prompt EngineeringExplore the latest developments in Generative AI, Large Language Models (LLMs), and Prompt Engineering. Learn to work effectively with ChatGPT, Google Gemini, Claude, and AI-powered productivity tools for content generation, automation, and business applications. This module strengthens practical skills required for today's Artificial Intelligence Course.7
- Module 9 – Big Data & Data EngineeringLearn how organisations manage, process, and analyse massive datasets using Hadoop, Apache Spark, ETL pipelines, cloud storage, and distributed computing. This module prepares learners for enterprise-level Data Science, Data Engineering, and advanced Data Science MSc programmes while developing scalable data processing skills.8
- Module 10 – Business AnalyticsDiscover how organisations use Business Analytics to improve operational efficiency and strategic decision-making. Learn KPI reporting, forecasting, customer segmentation, predictive analytics, and executive dashboards using SQL and Power BI. This module enhances practical knowledge gained through a professional Data Analytics Course.8
- Module 11 – Industry ProjectsApply your knowledge by developing real-world Data Science, Artificial Intelligence, and Machine Learning projects. Build predictive models, recommendation systems, business dashboards, fraud detection solutions, and customer analytics applications to create a professional portfolio that supports careers in Data Science Jobs UK and Data Science Jobs London.7
- Module 12 – Career Development & Placement SupportPrepare for successful careers in Data Science, Artificial Intelligence, and analytics with CV development, LinkedIn optimisation, GitHub portfolio building, interview preparation, mock interviews, and career guidance. This module supports learners seeking Data Science Jobs UK, Data Science Degree opportunities, and AI-focused professional roles.8
- Capstone ProjectComplete a comprehensive capstone project by integrating Data Science, Artificial Intelligence, Machine Learning, SQL, data visualisation, and business analytics to solve a real-world business problem. This project demonstrates practical expertise, strengthens your professional portfolio, and prepares you for AI Certification, Data Analytics Certification, and careers in the UK's rapidly growing data and AI industry.0
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