Shraddha - Python tutor - Chicago
Shraddha - Python tutor - Chicago

Shraddha profile and its contact details have been verified by our experts

Shraddha

  • Rate R417
  • Response 1h
Shraddha - Python tutor - Chicago

R417/h

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  • Python
  • Artificial Intelligence

Master Python & AI Basics – From Zero to Real-World Applications for beginners learn to code for the Future.

  • Python
  • Artificial Intelligence

Lesson location

About Shraddha

I bring real IT experience, so I don’t just teach the "how" — I also explain the "why" behind each concept. I focus on career readiness — helping you not only learn to code but understand how it's used in jobs like data analysis, automation, and AI. My sessions are personalized — paced to your learning speed, your goals, and your comfort zone. I help students build a mini portfolio by the end of the course, including Python scripts, basic AI models (like spam detectors or recommendation systems), and GitHub profile setup.

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About the lesson

  • Primary
  • Secondary
  • Matric/GCSE
  • +12
  • levels :

    Primary

    Secondary

    Matric/GCSE

    AS Level

    A Level

    BTech

    Adult education

    Masters

    Doctorate

    MBA

    Beginner

    Intermediate

    Advanced

    Professional

    Kids

  • English

Languages in which the lesson is available :

English

As your Python & AI tutor, I follow a hands-on, beginner-friendly approach focused on building strong foundational understanding through real-world examples. I believe in "learning by doing", which means every concept is paired with practical coding exercises and small project-based applications.

I start with simple analogies to explain complex programming and AI concepts clearly.

My lessons use a project-based learning model — students build real applications like calculators, mini games, data visualizers, or basic AI models as they learn.

I share interactive notebooks (Google Colab or Jupyter) so learners can code alongside me.

I also guide students through debugging techniques, best practices, and clean code writing.

Every topic includes mini-quizzes or challenges to reinforce learning and keep it engaging.

Each class is 60–90 minutes and structured into three segments:

Concept Introduction (15–20 mins):

Explain the topic with real-life examples (e.g., loops = daily routines, AI = human brain logic).

Live Coding + Hands-On (30–45 mins):

Code walkthrough, followed by students replicating or modifying it themselves.

Q&A + Practice Assignment (15–20 mins):

Resolve doubts and share practice tasks with real datasets or coding challenges.

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Rates

Rate

  • R417

Package rates

  • 5h: R2085
  • 10h: R4170

online

  • R417/h

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