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BITM

Certified Course on Data Science and Machine Learning using Python for AI (12th Batch)

  • English
  • Live
Duration
66 hours
Lessons
26
Language
English
Format
Live
Batch starts
19 Nov, 2026

About this course

This comprehensive training program provides a deep dive into Data Science and Machine Learning, using Python as the primary tool. Over 26 days, participants will explore essential topics, from foundational Python programming to advanced machine learning techniques.

This course is designed for aspiring data scientists and analysts, providing practical experience through hands-on projects and real-world applications. By the end of the training, participants will be equipped to tackle complex data challenges and contribute to data-driven decision-making in any organization.

This fee next to other courses

  • 19 of 26 paid Python courses by fee (1 = cheapest)
  • Median fee for Python courses: ৳7,800 · This course: ৳15,000

Based on the 29 courses listed here.Compare all Python courses

Fee history

Listed here since 25 Oct 2026; the fee has not changed in that time.

What you'll learn

  • Day 1-3: Start with an introduction to Python, covering syntax, data types, control flow, and basic operations.
  • Day 4-6: Learn about data structures, functions, and object-oriented programming, essential for organizing and managing code effectively.
  • Day 7-10: Gain proficiency in SQL for database management, followed by data analysis techniques using NumPy and Pandas.
  • Day 11-13: Conduct statistical analysis and data presentation to draw meaningful insights from datasets.
  • Day 14-17: Master data visualization using Matplotlib and Seaborn, enabling clear communication of results.
  • Day 18-26: Delve into machine learning with Scikit-learn, exploring algorithms like linear regression, decision trees, clustering, and neural networks using TensorFlow.

Course outline

26 modules

Day-1 An Introduction to Python & Basic Python Syntax
Day-2 Language Components & Loop
Day-3 List, Tuples, Set, Dictionaries
Day-4 Functions
Day-5 Classes, Objects & Method
Day-6 SQL Normalization/Relationship/Query
Day-7 SQL Joining/Union/Intersect
Day-8 Data Analysis using NumPy
Day-9 Data Analysis using Pandas-Part 1
Day-10 Data Analysis using Pandas-Part 2
Day-11 Capstone Project- Data Analysis using Pandas
Day-12 Statistics Part-1
Day-13 Statistics Part-2
Day-14 Statistics Part-3
Day-15 Data Visualization using Matplotlib & Pandas
Day-16 Data Visualization using - Seaborn
Day-17 Introduction to Machine Learning
Day-18 Scikit-learn - Feature Engineering
Day-19 Scikit-learn - Linear Regression, Multiple Regression
Day-20 Scikit-learn - K Nearest Neighbors & Logistic Regression
Day-21 Scikit-learn - Naive Bayes Classification
Day-22 Scikit-learn - Decision Tree, Random Forests & Ensemble Learning
Day-23 Scikit-learn - Support Vector Machines (SVM)
Day-24 Scikit-learn - K Means Clustering
Day-25 NLTK – Spacy - Natural Language Processing (NLP)
Day-26 Tensorflow - Deep Learning-Artificial Neural Network (ANN)

Who it's for

  • People who have basic computer knowledge. Who want to learn about Data Science and Machine Learning.

What's included

  • Class schedule: Sunday, Tuesday, Thursday - 6:15PM to 8:45PM

Details in this part come from BITM's course page.

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