The Professional Diploma in Data Science & Machine Learning is an industry-focused program designed to build strong foundations in data analysis, statistics, and machine learning. The course provides hands-on experience with Python, data modeling, and real-world datasets to help learners develop practical, job-ready skills.
Participants will learn to analyze data, build predictive models, and generate actionable insights for informed decision-making across business domains such as marketing, finance, HR, and operations. This diploma is ideal for professionals and aspiring data scientists looking to advance their careers in the data-driven economy.
- Course Duration: 4 Months
- Class Duration: 2 Hours
- Total Units: 4 Units
- Class Starts: 23rd Jan '26
- Classes on: Every Friday
- Classes Time: 7:00 PM - 9:00 PM
- Class Mode: Hybrid
Course Content
Our Professional Diploma in Data Science & Machine Learning programme is designed to equip learners with the analytical, statistical, and computational skills required to excel in modern data-centric and AI-driven environments. The curriculum integrates strong theoretical foundations with hands-on practical applications, covering core areas such as Python programming, data wrangling, statistical analysis, machine learning algorithms, predictive modeling, and applied artificial intelligence.
Session 1: Overview of Data Science (Offline)
Session 2: Introduction to Python Programming
Session 3: Essential Data Structures and Libraries
Session 4: Principles of Statistical analysis
Session 1: Linear Regression and Model Evaluation
Session 2: Classification Techniques
Session 3: Decision Trees and Clustering Methods
Session 4: Treatment Effects and Experimental Design (Offline)
Session 1: Web Scraping and Data Retrieval Techniques
Session 2: Handling Missing Data and Data Imputation
Session 3: Time Series Analysis (Exponential Methods) and Anomaly Detection
Session 4: Time Series Analysis (Stationary, Curve Fitting and NN Methods) (Offline)
Session 1: Advanced ML techniques
Session 2: Text Mining and Natural Language Processing
Session 3: Neural network and Introduction to LLM
Session 4: Association Rule Mining, Sentiment Analysis and Recommendation Systems (Offline)
Industry Expert Trainers
Dr Noman H Chowdhury
BSc(CSE,BUET), MBA(IBA,DU)
MM in Data Eco & Dev Policy (MIT,USA)
PhD in Info Sys (UoN,AU)
Sr Lecturer, Analytics, IS & Op (OBU,UK)
Instructor (WQU, USA & carpentries.org)
Former Asst/Prof, Analytics & DM (XMUM,MY)
Ex-employee @ GP, NSN, MISL
MD. MEFTAUL HAQUE MISHU
MS in Applied Statistics and
Data Science (JU)
Principal Software Engineer
(Data Scientist) Millennium Information Solution Ltd
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