Post Graduate Diploma

Post Graduate diploma in Data Science & Machine Learning

This course covers the full spectrum of Data Science and Machine Learning, starting from data collection, cleaning, and preprocessing using Python and popular libraries like Pandas and NumPy. You will learn data visualization with Matplotlib and Seaborn, statistical analysis, and exploratory data analysis (EDA) to uncover insights.

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What You'll Learn

Collect, clean, and preprocess structured and unstructured data efficiently.
Perform data analysis, visualization, and interpret meaningful insights.
Build, train, and evaluate machine learning models for prediction, classification, and clustering.
Apply AI techniques like NLP, recommendation engines, and predictive analytics.
Deploy machine learning models in applications and projects.
Build a professional portfolio showcasing practical data science and machine learning skills.

Course Curriculum

  • Python, SQL Database, Business Math,Data,Analysis & Visualization with Power BI,Data Mining

  • Machine Learning,Deep Learning & NLP,Time Series Analysis,Big data & Cloud Computing with AWS

  • Data Scientist Machine Learning Engineer Business Intelligence Analyst AI/ML Research Assistant

  • 1 year

Meet Your Instructors

Asif Abir
Asif Abir

Senior Mentor, Web Development

Zend Certified PHP Engineer with years of expertise in leading development teams and architecting hi...

Abdullah Al Fuad
Abdullah Al Fuad

Mentor, Data Science & Python

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

Who is this for?

Intended Learners
Requirements

Frequently Asked Questions

Basic programming knowledge helps, but the course starts with Python fundamentals and gradually moves to advanced topics.

You will work on real-world datasets, predictive modeling, classification, clustering, NLP projects, and AI-driven applications.

৳ 100,800.00

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Course Features
  • Class Starting: January
  • Total Classes: 52 weeks
  • Course Duration: 1 Year
  • Class Duration: 4 hours
Career Prospects