Is this course suitable for absolute beginners?

Yes! We start from the very basics and assume no prior programming experience.

Will I learn data science?

Yes, we cover essential data science libraries including Pandas, NumPy, and Matplotlib for data analysis and visualization.

Do you teach web development with Python?

Absolutely! We cover both Flask and Django frameworks for web development.

What can I build with Python after this course?

You'll be able to build web applications, data analysis tools, automation scripts, APIs, and much more.

When does the next batch start?

Please request the current batch details. Confirm the start date, session timings and delivery mode before enrolling.

Can learners from Nadiad attend?

Yes. Choose live online training or ask about attending the classroom in Anand. TechNet has no physical training centre in Nadiad.

Become job-ready with Python — from basics to data & web

Learn Python the practical way: core syntax, data analysis with Pandas, and web basics

so you can automate work and grow into data or backend roles.

Live training(Anand and online)

Instructor-led learning

Beginner-friendly path with real projects
Data stack: Pandas, NumPy, visualization
Web track: Flask/Django fundamentals
Portfolio apps you can demo

Teaching hours are separate from the number of calendar days needed to complete the course.

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Use the syllabus and your own goals to decide whether this course is the right next step. These are planning notes, not learner testimonials.

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Learning focus

Choose a practical problem you want to solve. Compare the topics below with your current experience and the skills you want to develop.

Start with your goal

Course planning

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Attendance planning

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Course Overview

Master Python programming from basics to advanced topics. Learn data science, web development, automation, and more. This comprehensive course covers everything you need to become a proficient Python developer, from syntax to building real-world applications. For database querying, explore our SQL course. If your next goal is reporting and dashboards, compare our Power BI course.

Prerequisites

Basic computer skills
No prior programming experience required

Choose Your Learning Format

Live online

Join instructor-led sessions live online and practise with course exercises.
Confirm the available batch format, timetable and software requirements before enrolling.
Ask whether recordings and other review materials are included in your selected batch. Request Course and Batch Details.

Classroom in Anand

F-6, 1st Floor, Vihang Trade Center, Mota Bazaar, Vallabh Vidyanagar, Anand, Gujarat 388120.
Confirm the classroom timetable and venue before your first visit.
Learners from Nadiad can join online or attend in Anand. TechNet has no physical training centre in Nadiad. Request Course and Batch Details.

Course Details

Teaching hours

50 hours

Level

Beginner to Advanced

Format

Live online & Classroom in Anand

Learning Outcomes

Write efficient Python code following best practices
Build web applications using Django or Flask
Perform data analysis with Pandas and NumPy
Automate tasks and processes with Python scripts

Your learning plan

Discuss your course with TechNet

Confirm the trainer, timetable and support before enrolling.

TechNet Training Team

Course and batch enquiries

Share your experience, learning goals and availability. Ask about the assigned trainer, teaching approach and support included in your selected batch before enrolling.

Discuss your current experience
Review practice requirements
Confirm support and feedback arrangements

Course focus areas

Python fundamentals and syntax
Object-oriented programming principles
Data structures and algorithms

Detailed Course Curriculum

A structured, real-world curriculum designed to build job-ready skills step by step.

Module 1: Python Fundamentals

10 hours

Syntax, variables, and data types
Control flow, functions, and modules
Error handling and debugging

Module 2: Data Structures & OOP

10 hours

Lists, dictionaries, sets, tuples
Object-oriented programming
File handling and data persistence

Module 3: Data Science Essentials

12 hours

Pandas and NumPy for data analysis
Visualization with Matplotlib
Data cleaning and preprocessing

Module 4: Web Development

10 hours

Flask/Django fundamentals
APIs, routing, and templates
Database integration

Module 5: Automation & Capstone

8 hours

Automation scripts and scheduling
Testing and best practices
Capstone project and deployment

Download full curriculum PDF

Includes real projects, interview questions, and step-by-step roadmap. Enter your details below to download the PDF.

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What You'll Learn

This comprehensive course covers all essential topics to make you proficient

1Python fundamentals and syntax

2Object-oriented programming principles

3Data structures and algorithms

4File handling and database operations

5Web development with Flask/Django

6Data science libraries (Pandas, NumPy, Matplotlib)

7API development and integration

8Testing, debugging, and best practices

Course Benefits

Everything you need to learn effectively and stand out in real-world roles.

1Beginner-friendly progression with real projects

2Hands-on coding exercises and mentor feedback

3Exposure to data science and web development

4Portfolio-ready applications

5Career guidance for Python roles

Projects You'll Build

Hands-on projects designed to build a strong portfolio

1Python automation toolkit

2Data analysis report dashboard

3Flask/Django web app

Download Curriculum PDF

Get the full course curriculum, module breakdown, and learning outcomes in a downloadable PDF. Includes real projects, interview questions, and step-by-step roadmap.

Frequently Asked Questions

Discuss Your Python Programming Learning Goals

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