Book Free Session

DATA SCIENCE & ML WITH PYTHON

Enroll now Course curriculum

Data Science & ML with Python Course

Data drives the world and those who can interpret it lead the future. Our Data Science & ML with Python Course at Transfotech Academy is designed for learners from any background to master real-world data analysis, visualization, and predictive modeling. You’ll gain hands-on experience with Python, Pandas, SQL, NumPy, and Scikit-Learn to solve practical business problems. With guided mentorship, industry-based projects, and career support, this course prepares you to become job-ready as a Data Analyst or Data Scientist in just 16 weeks.

Course Structure Overview

Hands-on video lectures

Learn data analysis, visualization, and machine learning with Python through practical, guided sessions.

Dedicated support group

Collaborate, share insights, and get guidance from mentors and peers throughout your learning journey.

Weekly live Q&A classes

Engage directly with instructors, solve challenges, and refine your projects with expert support.

Digital guidebook

Access curated notes, codes, and project templates to reinforce every lesson.

What you will learn by doing the course

Data Science & ML with Python is designed for anyone eager to turn data into decisions. Through hands-on projects and practical exercises, you will:

  • Master Python programming for data analysis and automation.
  • Manipulate and clean data using Pandas and NumPy.
  • Visualize insights using Matplotlib and Seaborn.
  • Apply statistics and hypothesis testing to real datasets.
  • Build predictive models using Scikit-Learn.
  • Use SQL for database querying and data extraction.
  • Complete a capstone project showcasing your skills.
  • Prepare for job roles like Data Analyst, BI Analyst, or Junior Data Scientist.

Details about the course

  • Week 1: Introduction to the Data Science Ecosystem
  • Week 2: Data Structures & Functions in Python
  • Week 3: Numerical Computing with NumPy
  • Week 4: Data Manipulation with Pandas – Part 1
  • Week 5: Data Manipulation with Pandas – Part 2
  • Week 6: Data Visualization with Matplotlib & Seaborn
  • Week 7: Exploratory Data Analysis (EDA) in Practice
  • Week 8: Essential Statistics for Data Science
  • Week 9: Foundations of Machine Learning
  • Week 10: Regression Models
  • Week 11: Classification Models
  • Week 12: Unsupervised Learning
  • Week 13: Introduction to SQL
  • Week 14: Capstone Project Workshop 1
  • Week 15: Capstone Workshop 2 & Portfolio Building
  • Week 16: Final Presentations & Career Preparation

Course Instructor

Ryana Quadir

Ryana Quadir

AI Expert & Data Analyst

Instructor, Transfotech Academy

Ryana Quadir, M.Sc. in Computer & Information Systems from the University of Michigan, Dearborn, is an AI/ML Researcher and former Engineer at Samsung R&D and STIBO DX with over six years of experience in software, data analytics, and automation.

Data Science & ML with Python
Enroll now Free consultation

What is in this course

  • 16 Weeks of live interactive classes
  • Step-by-step real project-based learning
  • Comprehensive course materials and datasets
  • Industry tools: Python, SQL, Power BI, and Scikit-Learn
  • Capstone project for a professional portfolio
  • Instructor-led sessions and dedicated career mentorship

Next batch starts soon

Days
Hours
Minutes
Seconds
Enroll Now