Post Graduate Diploma

PGD in Data Science & Machine Learning | DIPTI

5.00 শিক্ষার্থীর রেটিং

1-year PGD in Data Science & Machine Learning by DIPTI. Learn Python, ML, Deep Learning & AI with hands-on projects. Build a job-ready portfolio.

Duration1 Year
Classes192
Class StartingDecember
Get Admission
পোস্ট গ্র্যাজুয়েট ডিপ্লোমা ইন ডাটা সায়েন্স & মেশিন লার্নিং
কোর্সের ভূমিকা দেখুন
Enroll · ৳ 100,800.00
Overview

Course Overview

Post Graduate Diploma (PGD) in Data Science & Machine Learning

This one-year Post Graduate Diploma program is delivered by DIPTI (Daffodil International Professional Training Institute). In today’s data-driven world, Data Science and Machine Learning have become two of the most in-demand skill areas globally, as organizations increasingly rely on data to make decisions, automate processes, and build intelligent products. DIPTI has designed this program to equip learners with hands-on expertise in Python programming, statistics, machine learning, and deep learning — while building the practical skills needed to turn raw data into real business insights and AI-driven solutions.

Spanning 3 semesters and 192 classes, this program is built around industry-aligned modules covering the full data science pipeline:

  • Semester 1: Python for Data Science, Statistics & Probability, SQL & Data Wrangling, and Data Visualization — building the programming and analytical foundation
  • Semester 2: Machine Learning, Deep Learning & Neural Networks — developing core predictive modeling and AI skills
  • Semester 3: Natural Language Processing, Computer Vision, Big Data & Cloud Tools, MLOps & Model Deployment, and a Final Capstone Project — delivering advanced, production-ready AI skills
  •  

Each module combines Theory, Hands-on Labs, Workshops, and Project work, developed by DIPTI in collaboration with industry experts and aligned with globally recognized tools and platforms including Python, SQL, Power BI/Tableau, TensorFlow/PyTorch, and major cloud ML services. Alongside the coursework, learners build a real-world project portfolio — from exploratory data analysis and predictive ML models, to deep learning applications and a final end-to-end capstone project — all delivered through DIPTI’s dedicated labs and instructor-led training.

By the end of the course, learners will be job-ready for roles such as Data Analyst, Data Scientist, Machine Learning Engineer, AI Engineer, and Business Intelligence Analyst, backed by DIPTI’s career support, certification guidance, and industry network.

What you'll master

01Collect, clean, and preprocess structured and unstructured data efficiently.
02Perform data analysis, visualization, and interpret meaningful insights.
03Build, train, and evaluate machine learning models for prediction, classification, and clustering.
04Apply AI techniques like NLP, recommendation engines, and predictive analytics.
05Deploy machine learning models in applications and projects.
06Build a professional portfolio showcasing practical data science and machine learning skills.
Are you the right fit?

Is this course right for you?

Who it's for

  • Graduates and professionals from any academic background (IT, business, engineering, science, or other fields)
  • Analysts, accountants, and business professionals seeking AI/data-driven decision-making skills
  • Software engineers or IT professionals transitioning into data science or machine learning
  • Fresh graduates aiming for a strong start in AI/data careers
  • Entrepreneurs and business owners wanting to use data for growth and decision-making
  • Career switchers targeting roles in analytics, data science, or AI/ML engineering

Prerequisites

  • Bachelor’s degree (or final-year student) in any discipline, or equivalent professional experience
  • Basic computer literacy and comfort with numbers/logical thinking
  • A laptop/PC capable of running Python and Jupyter Notebook (no special hardware required)
  • No prior programming or advanced math background required — the program starts from fundamentals
  • Willingness to commit to a full-year, hands-on, project-intensive schedule (192 classes)

Career Prospects

  • Data Analyst
  • Data Scientist
  • Machine Learning Engineer
  • AI Engineer / AI Developer
  • Business Intelligence (BI) Analyst
  • Data Engineer
  • Research Analyst (Data-Driven Roles)
  • Analytics Consultant
Facilities

Our Facilities

24/7 Online SupportOne-to-One Mentor SupportFree Career GuidelineOn-Campus SupportFree Access to All Workshops & WebinarsInternship OpportunitiesJob Placement Support
Curriculum

5 Modules, 192 Classes

192Classes
5Modules

Classes
ClassTopicType
Class 1 Python
Class 2 SQL Database
Class 3 Data Analysis & Visualization with Power BI

Classes
ClassTopicType
Class 1 Data Mining
Class 2 Machine Learning

Classes
ClassTopicType
Class 1 Deep Learning & NLP
Class 2 Big Data & Cloud Computing with AWS

Classes
ClassTopicType
Class 1 Data Analyst, ML Engineer, AI Specialist, Data Scientist, Business Intelligence Analyst

Classes
ClassTopicType
Class 1 1 Year
2 more modules to explore
Free Live Class

Try a free class before you enroll

Sit in a real class, meet the mentor and see if this course fits you. No payment needed.

Career Outcome

Where this course leads

STEP 01
Job readiness for entry- and mid-level Data Analyst, Data Scientist, and ML Engineer roles
STEP 02
A strong foundation for advanced certifications such as Google Data Analytics, Microsoft Azure Data Scientist, AWS/Google Cloud ML certifications, or TensorFlow Developer Certificate
STEP 03
A portfolio of real-world projects (EDA reports, ML models, deep learning applications, and a capstone) demonstrable to employers
STEP 04
Eligibility for roles across industries — banking, telecom, e-commerce, healthcare, and startups — that increasingly rely on data-driven decisions
STEP 05
A pathway to specialize further into AI research, MLOps/data engineering, or applied AI product roles
Career Path

Career Road Map

  1. 1
    Month 1 – 4 (Semester 1)
    Python, Statistics & Data Foundations

    Learn Python programming, statistics, probability, SQL, and data visualization. Clean and explore real datasets to extract actionable insights.

  2. 2
    Month 5 – 8 (Semester 2)
    Machine Learning & Deep Learning

    Build and evaluate machine learning models (regression, classification, clustering) and deep learning models using neural networks for image and text data.

  3. 3
    Month 9 – 12 (Semester 3)
    Advanced AI, Deployment & Capstone

    Master NLP, computer vision, big data tools, and MLOps/model deployment. Complete an end-to-end capstone project solving a real business problem.

  4. 4
    1 – 3 years post-graduation
    Data Scientist / Machine Learning Engineer

    Independently build, evaluate, and deploy ML/deep learning models; work with large datasets and cloud ML platforms; collaborate with engineering and business teams.

  5. 3 – 5+ years post-graduation
    Senior Data Scientist / AI Engineer / Analytics Lead

    Lead data science projects and AI product development, mentor junior team members, and drive data strategy — often paired with advanced certifications or specialized domains (NLP, computer vision, MLOps).

Mentors

Meet Your Instructors

new test
Mentor, Web Development
new test

acad

View full profile
Abdullah Al Fuad
Mentor, Data Science & Python
Abdullah Al Fuad

Dedicated CSE Researcher and Lecturer with over 5 years of experience in AI, Machine Learning, and G...

View full profile
Ashiqur Rahman
Mentor, Hardware & Networking
Ashiqur Rahman

Expert IT Infrastructure & Networking Specialist with 6+ years of experience in hardware trouble...

View full profile
Md.Asaduzzaman
Mentor, Data Science & Python
Md.Asaduzzaman

Over 4.5 years of experience in teaching, training, and research. He is an NSDA-certified trainer sp...

View full profile
Course FAQ

Before you enroll

This is a one-year program delivered across 3 semesters, with 192 classes covering Python programming, statistics, machine learning, deep learning, and real-world data projects.

Graduates and professionals from any discipline — not just IT or CS — interested in data analysis, machine learning, or AI careers, as well as working professionals in analytics, finance, engineering, or business roles looking to upskill.

No advanced experience is required. The program starts from Python and statistics fundamentals before progressing to machine learning and deep learning — basic computer literacy and comfort with numbers is enough.

Python for Data Science, Statistics & Probability, SQL & Data Wrangling, Data Visualization, Machine Learning, Deep Learning & Neural Networks, Natural Language Processing, Computer Vision, Big Data & Cloud Tools, MLOps & Model Deployment, and a Capstone Project.

It’s heavily hands-on. Every module combines Theory, Hands-on Labs, Workshops, and Projects — using tools like Python, Jupyter, Pandas, Scikit-learn, TensorFlow/PyTorch, SQL, Power BI/Tableau, and cloud ML platforms.

Real-world projects including an exploratory data analysis report, a predictive ML model, a deep learning image/text classifier, a recommendation system, an NLP chatbot or sentiment analyzer, and a final capstone solving an end-to-end business problem.

Graduates are job-ready for roles such as Data Analyst, Data Scientist, Machine Learning Engineer, AI Engineer, Business Intelligence Analyst, and Data Engineer.

A standard laptop is sufficient for most of the program. For deep learning modules, free cloud resources (Google Colab, Kaggle Notebooks) are used, so no high-end GPU is required.

The curriculum is aligned with widely recognized skill areas (Python, SQL, ML, cloud platforms), preparing you for certifications such as Google Data Analytics, Microsoft Azure Data Scientist, or AWS Machine Learning — exams are arranged and conducted separately through each provider.

Dedicated mentor support, doubt-clearing sessions, and recorded class access ensure you can catch up and keep pace throughout the program.
Still have questions?

Talk to a counsellor or sit in a free live class before you decide.

Call us
Course fee ৳ 100,800.00
Enroll Now