Data Science & Analytics with AI
Become a job-ready data scientist — from Python and statistics to machine learning, deep learning and AI-driven analytics, built entirely on real datasets.
Course Overview
This is our most comprehensive data program. You start with Python and databases, build a strong foundation in statistics and algorithms, then move into machine learning, deep learning and modern AI workflows. Every topic is taught through hands-on labs and case studies drawn from real business problems.
By the end you can collect and clean data, build and evaluate predictive models, present insights through dashboards, and explain your approach in an interview. The course finishes with a capstone project you can showcase to employers.
What You'll Learn
- Python for data analysis with NumPy, Pandas and visualisation libraries
- Core and advanced statistics, probability and the maths behind algorithms
- SQL and MySQL for querying, joining and preparing large datasets
- Supervised and unsupervised machine learning with scikit-learn
- Deep learning fundamentals — neural networks, CNNs and model training
- Building interactive dashboards and reports in Tableau
Curriculum
- Python programming essentials and Jupyter workflow
- NumPy arrays and vectorised computation
- Pandas for data wrangling, merging and aggregation
- Data cleaning, missing values and feature engineering
- Descriptive and inferential statistics
- Probability, distributions and hypothesis testing
- Algorithm complexity and optimisation basics
- MySQL: joins, subqueries, window functions
- Regression, classification and model evaluation
- Decision trees, random forests and boosting
- Clustering, PCA and unsupervised methods
- Model tuning, cross-validation and pipelines
- Neural network fundamentals and backpropagation
- CNNs for image data and intro to NLP
- Using AI tools and APIs in analytics workflows
- Tableau dashboards and the capstone project
Tools & Technologies
Career Outcomes
Who This Course Is For
- Graduates and final-year students aiming for a data career
- Working professionals moving into analytics or AI roles
- Anyone comfortable with basic maths who wants hands-on ML skills
Course FAQs
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