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Data Science with Python

🚀 Learn Data Science with Python – A Hands-On Online Course

Hello and welcome!

If you’ve been wanting to step into the exciting and high-demand world of Data Science but don’t know where to start, this course is designed just for you.

Join me in a step-by-step, practical, and project-oriented journey to learn Data Science using Python — one of today’s most valuable skills for analysts, researchers, programmers, and even product managers.


🧠 About the Course

This course is built on the foundation of the well-known book
📘 Data Science Essentials in Python by Dmitry Zinoviev,
and it will be delivered live and online via Google Meet.

You’ll learn the full data science workflow — from raw data to analysis, visualization, and predictive modeling — through hands-on sessions and real-world examples.


💡 What You’ll Learn

Over the span of 12 live sessions, you’ll gain practical experience in:

  • Understanding the full data analysis cycle
  • Extracting and cleaning data from files, the web, and databases
  • Processing tabular, textual, numerical, and network (graph) data
  • Creating data visualizations with Matplotlib and Pandas
  • Building predictive models using basic machine learning algorithms
  • Completing a final data science project and presenting your findings

🛠 Tools You’ll Work With

  • Python (Google Colab / Jupyter Notebook)
  • NumPy, Pandas, Matplotlib, Scikit-learn
  • BeautifulSoup for web scraping
  • NetworkX for graph analysis
  • MySQL and MongoDB for databases

👨‍🏫 Course Format

  • Mode: Live online sessions
  • Platform: Google Meet (no installation required)
  • Recordings: Available after each session
  • Support: Weekly exercises, group Q&A, and final project review

👥 Who Should Join?

  • University students (Computer Science, Statistics, Engineering, Management, etc.)
  • Professionals aiming to shift into data-related roles
  • Python developers seeking data analysis skills
  • Researchers working with structured or unstructured data

💰 Course Fee

  • Total sessions: 12 (1.5 to 2 hours each)
  • Fee per session: 1,00,000 IRR (صد هزار تومان)
  • Full course: 12,000,000 IRR(یک میلیون و دویست هزار تومان)
  • 🎁 Discounted full package: 10,000,000 IRR(یک میلیون تومان)
  • Installment options available for students

📝 Free Pre-Registration

Interested in joining? Fill out the short form below to receive the full syllabus, calendar, and access to our free intro session:

👉 Pre-Register for the Data Science with Python Course

⚠️ Limited seats available – priority will be given to early registrants.


📘 Course Topics Summary

SessionTopic
1Introduction to Data Science & Workflow
2-3Python for Data Analysis
4Working with HTML, CSV, JSON
5Connecting to Databases
6Numerical Analysis with NumPy
7Tabular Data with Pandas
8Data Visualization
9Graphs and Network Analysis
10Basics of Statistics & Probability
11Machine Learning Essentials
12Final Project and Course Wrap-up

📩 Have Questions?

Feel free to contact me via this form
or send message to Telegram

Looking forward to seeing you in class and guiding you through this exciting learning journey.
Warm regards,
Araz Shahkarami
Data Science Instructor & Python Developer

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Araz Shahkarami

I’m a software enthusiast with a deep love for crafting robust and efficient solutions. My journey into the world of programming began several years ago when I was introduced to the world of code. Since then, I’ve been on an exhilarating ride of learning, problem-solving, and continuous improvement.

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