High-Skill Development Programmes in Demand Worldwide

Professional Diploma in Data Science & Business Analytics with R&D

Build the Future with Data-Driven Intelligence

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Programme format

Three months of applied training, followed by three months of internship and R&D capstone delivery.

  • Excel, SQL, Tableau, Power BI
  • Python, R, analytics and machine learning
  • Generative AI, XAI and emerging technologies

Programme Overview

A multi-disciplinary route from spreadsheets to artificial intelligence

The curriculum is designed to equip learners with essential tools and knowledge to navigate the data-driven landscape, from foundational spreadsheet skills to the cutting edge of artificial intelligence.

By mastering these technologies, learners build technical proficiency and a strategic mindset for extracting insight and driving innovation.

Stage 01First 3 months

Practical experience across 11 tools, modules and applications, including five mini projects using Excel, Tableau, Power BI, Python and R.

Stage 02Following 3 months

Internship with R&D capstone project design and implementation, with a 12,000 to 15,000 word report.

Qualification Professional Diploma
Delivery Hands-on + Internship
Outputs Dashboards, Reports, Models
Environment Colab + Stack

Modules

Interactive syllabus explorer

014 sessions

Microsoft Excel

Data analysis and reporting

Capstone example: Business dashboard

  • Excel fundamentals
  • Essential formulas & functions
  • Sorting & filtering
  • VLOOKUP, HLOOKUP and XLOOKUP
  • Text & date functions
  • Data validation & conditional formatting
  • Charts, Pivot Tables and Pivot Charts
  • What-If Analysis and intro to Power Query
024 sessions

SQL & MySQL DBMS

Database design & querying

Capstone example: E-commerce database

  • Relational database concepts
  • MySQL setup
  • DDL, DML and DQL
  • Filtering with operators
  • Aggregate functions and GROUP BY
  • Joining tables
  • Subqueries
  • Views, stored procedures, data types and constraints
035 sessions

Tableau

Data visualization

Capstone example: Interactive sales report

  • Connecting to data
  • Dimensions vs Measures
  • Charts and heat maps
  • Calculated fields
  • Table calculations
  • LOD expressions
  • Interactive dashboards
  • Mapping, storytelling and publishing
045 sessions

Power BI

Business intelligence

Capstone example: Executive KPI dashboard

  • Power BI ecosystem
  • Power Query
  • Data modelling
  • DAX foundations
  • Visuals and report design
  • Interactivity and drill-through
  • Power BI Service
  • Row-level security and scheduled refresh
057 sessions

Python Programming

Programming fundamentals

Capstone example: Automation script

  • Python basics
  • Data structures
  • Control flow
  • Functions
  • Modules & packages
  • File I/O
  • OOP concepts
  • Error handling, list comprehensions and virtual environments
065 sessions

R Programming

Statistical computing

Capstone example: Research data analysis

  • R and RStudio basics
  • Data structures
  • Data import/export
  • Control structures
  • Functions
  • apply family
  • Tidyverse introduction
  • dplyr, ggplot2 and basic statistical analysis
073 sessions

Data Analytics with Python

Data analysis workflow

Capstone example: Python analytics report

  • NumPy
  • Pandas
  • Data ingestion
  • Data cleaning
  • Data wrangling
  • EDA
  • Matplotlib, Seaborn and Plotly
  • Time series analysis
083 sessions

Data Analytics with R

Predictive analytics

Capstone example: Forecasting model

  • Tidy data principles
  • dplyr workflows
  • tidyr reshaping
  • Advanced ggplot2
  • purrr
  • stringr and forcats
  • readr
  • EDA workflow and R Markdown
094 sessions

Data Science & AI with Python

ML/DL algorithms

Capstone example: Model using Colab

  • AI and ML intro
  • ML workflow
  • Scikit-Learn
  • Regression and classification
  • Evaluation metrics
  • Clustering and PCA
  • Neural networks
  • TensorFlow, Keras, CV and NLP
104 sessions

Generative & Explainable AI

LLMs & AI transparency

Capstone example: Explainable AI chatbot

  • Transformers and LLMs
  • Prompt engineering
  • LLM APIs
  • Fine-tuning concepts
  • RAG
  • LangChain and LlamaIndex
  • Ethical AI
  • SHAP, LIME and a simple generative app
114 sessions

Emerging Technologies with Python

Cross-domain integration

Capstone example: IoT–AI–Cloud system

  • IoT & data science
  • Cybersecurity anomaly detection
  • Blockchain analytics
  • Cloud computing for data science
  • Digital twins
  • Metaverse data applications
  • Big data overview
  • Quantum computing and capstone ideation

Tools & Technologies

Business intelligence, analytics, code and AI in one pathway

ExcelSQLMySQLTableauPower BIPythonRNumPyPandasggplot2Scikit-LearnTensorFlowKerasGoogle ColabOpenAI APIsLangChainLlamaIndexSHAPLIME

Career outcomes

Designed to support analyst, BI, data science, AI and research-oriented progression by blending reporting, coding, predictive modelling and emerging technology awareness.

Capstone pathway

Capstone examples range from executive KPI dashboards and forecasting models to explainable AI chatbots and IoT–AI–Cloud systems.

Progression mindset

The learning journey moves from core analysis into machine learning, generative AI, explainability and cross-domain applications.

Interactive Prospectus

Data Science & Business Analytics Brochure

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