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6840+ Job Posting Available
Placements in Python: 1,342

Python Training in San Francisco with Certification

Learn Python programming in San Francisco with hands-on training in Python, Jupyter Notebook, VS Code, PyCharm, NumPy, Pandas, Matplotlib, and Flask / Django basics. Build real projects, write clean code, and prepare for Python Developer and Data Analyst roles.

4.7/5 from 1,432 reviews
Hands-on Python training in San Francisco
Covers basics, OOP, files, data structures, and libraries
Work with Python, Jupyter Notebook, VS Code, and PyCharm
Build 4 real projects during the course
Get resume help and interview preparation for Python roles
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14,200+ (Placed)

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7,100+ (Placed)

Non-IT to Tech

5,800+ (Placed)

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6,400+ (Placed)

Upskilling Success

24,999

In 90 Days + Placement

Course Fee:₹24,999
Duration:60 Days
Mode:Classroom & Online

Free Session

1 Hour Training Session

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How We Have Placed 10,000+ Students ?

Microsoft logo
Google logo
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Infosys logo
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Tech Mahindra logo
5.2 LPA
Pramod

Pramod

5.2 LPAServiceNow Developer

Prodapt
5.7 LPA
Vihaana

Vihaana

5.7 LPAAndroid Developer

Nextwebi
6 LPA
Navya

Navya

6 LPAAndroid Developer

Corsel Technologies
7 LPA
Karthik

Karthik

7 LPAAndroid Developer

appzoc
9 LPA
Sanjeev Sukla

Sanjeev Sukla

9 LPAAI Engineer

Tech Mahindra
5 LPA
Sukumar Roy

Sukumar Roy

5 LPAData Scientist

Accenture
8 LPA
Jagjith Rathode

Jagjith Rathode

8 LPAMachine Learning Engineer

Deloitte
4 LPA
Lipika Shah

Lipika Shah

4 LPAAI Engineer

Infosys
4 LPA
Kutumb Sharma

Kutumb Sharma

4 LPAAssociate Product Manager

Cognizant
3.45 LPA
Gheeta Kumari

Gheeta Kumari

3.45 LPANetwork Engineer

Cognizant
3.75 LPA
Venkatesh Iyengar

Venkatesh Iyengar

3.75 LPANOC Support Engineer

BharatHire.com
4.4 LPA
Lakshmi Menonon

Lakshmi Menonon

4.4 LPANetwork Administrator

Capgemini
9 LPA
Jagan Roy

Jagan Roy

9 LPAAI Engineer

goibibo
12 LPA
Sharmila

Sharmila

12 LPAData Engineer

TCS
16 LPA
Rahul Rai

Rahul Rai

16 LPAData Engineer

atlys
5.1 LPA
Pawan Singh

Pawan Singh

5.1 LPARPA Developer

Infosys
7.83 LPA
Narayan

Narayan

7.83 LPARPA Business Analyst

Capgemini
5.55 LPA
Sima

Sima

5.55 LPAData Scientist

TATA
40 LPA
Joseph

Joseph

40 LPAAWS Devops Engineer

Amazon
25 LPA
Sameer

Sameer

25 LPASalesforce Developer

Salesforce
30 LPA
Savitha Iyer

Savitha Iyer

30 LPAProject Administrator

Amazon
20 LPA
Jayanthi

Jayanthi

20 LPADigital Marketing Specialist

Zomato
12 LPA
Sangeetha

Sangeetha

12 LPASocial Media Manager

Rubrik
8 LPA
Kishore

Kishore

8 LPADigital Marketing Analyst

Wipro
8.5 LPA
Rekha

Rekha

8.5 LPAPerformance Marketer

Atlassian
4.3 LPA
Jestina

Jestina

4.3 LPADigital marketing specialist

zensar technologies
8 LPA
Sasidharan

Sasidharan

8 LPAPerformance Marketer

atlys
4.3 LPA
Vanaya

Vanaya

4.3 LPAAI Engineer

zensar technologies
7.5 LPA
Jyoti

Jyoti

7.5 LPAData Engineer

Velocity
4.5 LPA
Kaushik

Kaushik

4.5 LPASalesforce Developer

Tech Mahindra
8.45 LPA
Rohini

Rohini

8.45 LPAComputer Vision Engineer

nvidia
5 LPA
Shravya

Shravya

5 LPASAP FICO Analyst

accenture
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Sandhya

Sandhya

5.8 LPASAP FICO Analyst

Sonata Software
4.2 LPA
Abhiram

Abhiram

4.2 LPAServicenow Developer

Prodapt
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Krishna

Krishna

4.8 LPATOSCA Automation Engineer

Hexaware
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Aqib

Aqib

8 LPAData Engineer

Tiger Analytics
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Rohan

Rohan

8 LPATosca Test Analyst

Cognizant
10 LPA
Muskan

Muskan

10 LPAMachine Learning Engineer

Fractal
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Ritika

Ritika

4.4 LPATosca Administrator

QualityAI
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Aliya

Aliya

5.7 LPAML Engineer

Mu Sigma
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Amith

Amith

6 LPADevops Engineer

Meesho
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Asha

Asha

7.15 LPADevSecOps Engineer

netsmartz
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Anamika

Anamika

6.3 LPAAI Engineer

Fractal
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Sai Krishna

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First Source
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Prachi

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ABC Consultants
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Rafiya

Rafiya

7 LPAData Scientist

Tredence
10 LPA
Rudra Lakshmi

Rudra Lakshmi

10 LPABrand Marketing Specialist

gojek
8.2 LPA
Andro

Andro

8.2 LPAAI Engineer

Fractal

Placement Assistance for Python Training in San Francisco

Learning Python is one part of the job path. Getting ready for Python Developer, Junior Data Analyst, or Automation Scripting Engineer roles in San Francisco needs resume support, interview practice, and role-focused guidance.

Our Signature Career Support:

  • Resume review tailored for Python Developer and Data Analyst roles
  • Mock interviews based on Python, OOP, files, and libraries
  • Project portfolio support for calculator, scraper, and data analysis work
  • Career guidance for junior developer, automation, and backend roles
  • Mentor support on applying for entry-level openings and internships

Python Salary Insights in San Francisco

Python hiring in San Francisco spans software development, backend work, automation, web development, and data analysis. Pay grows with hands-on project work, library depth, and ability to handle real applications.

Python Developer Average Salary by Experience

Why Students Choose Our Python Course in San Francisco?

4.7/5 Google Rating | 1,432+ Verified Reviews

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Success Result: Our students are competing at global levels. Watch their placement journey here.

Bigdata Hadoop Placement Success Stories

Data Engineering @ Accenture - 12 LPA

Student Honest Reviews for Tally Course

Junior Accountant @ Fortis - 8 LPA

What Students Say About Our SQL Course

SQL Developer @ Wipro - 10 LPA

Genuine Student Feedback on Our SalesForce Course

Salesforce Administrator @ Deloitte - 15 LPA

How Our RPA Course Helped Students Build Their Careers

RPA Developer @ IBM - 20 LPA

Learning to Getting Hired – Tableau Student Reviews

Tableau Developer @ Genpact - 20 LPA

Real Student Reviews for HR Course

Talent Acquisition Executive @ Tech Mahindra - 12 LPA

Authentic Student Experiences on our Anjular Js Course

Angular Developer @ Capgemini - 15 LPA

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Data Analyst @ Amazon - 25 LPA

What Students Say About the Java Course

Java Developer @ Oracle - 25 LPA

Student Video Review for CATIA Course

CATIA Design Engineer @ TATA Motors - 20 LPA

Authentic Student Reviews for AWS Course

AWS Solutions Architect @ Accenture - 25 LPA

Honest Opinions from Python Course Students

Python Developer @ Mphasis - 15 LPA

Real Student Reviews for Software Testing

QA Engineer @ HCLTech - 15 LPA

Devops Course Reviews & Placement Experiences

Cloud DevOps Engineer @ LTIMindtree - 18 LPA

Digital Marketing Course Success Stories | Student Reviews

Digital Marketer @ Google - 20 LPA

Inventateq Classroom Tour

BTM Layout @ Inventateq - -

Students Who Took the First Step

Genuine Reviews @ Inventateq - 25 LPA - 50LPA

Bigdata Hadoop Placement Success Stories

Data Engineering @ Accenture - 12 LPA

Student Honest Reviews for Tally Course

Junior Accountant @ Fortis - 8 LPA

What Students Say About Our SQL Course

SQL Developer @ Wipro - 10 LPA

Genuine Student Feedback on Our SalesForce Course

Salesforce Administrator @ Deloitte - 15 LPA

How Our RPA Course Helped Students Build Their Careers

RPA Developer @ IBM - 20 LPA

Learning to Getting Hired – Tableau Student Reviews

Tableau Developer @ Genpact - 20 LPA

Real Student Reviews for HR Course

Talent Acquisition Executive @ Tech Mahindra - 12 LPA

Authentic Student Experiences on our Anjular Js Course

Angular Developer @ Capgemini - 15 LPA

Honest Student Reviews for Data Science Course

Data Analyst @ Amazon - 25 LPA

What Students Say About the Java Course

Java Developer @ Oracle - 25 LPA

Student Video Review for CATIA Course

CATIA Design Engineer @ TATA Motors - 20 LPA

Authentic Student Reviews for AWS Course

AWS Solutions Architect @ Accenture - 25 LPA

Honest Opinions from Python Course Students

Python Developer @ Mphasis - 15 LPA

Real Student Reviews for Software Testing

QA Engineer @ HCLTech - 15 LPA

Devops Course Reviews & Placement Experiences

Cloud DevOps Engineer @ LTIMindtree - 18 LPA

Digital Marketing Course Success Stories | Student Reviews

Digital Marketer @ Google - 20 LPA

Inventateq Classroom Tour

BTM Layout @ Inventateq - -

Students Who Took the First Step

Genuine Reviews @ Inventateq - 25 LPA - 50LPA

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REVIEWS

4.7/5 · 1,432+ Verified Reviews

About Inventateq Python Training Institute in San Francisco

Inventateq teaches Python in a practical sequence: basics, control flow, data structures, functions, OOP, file handling, advanced concepts, libraries, and project work. The course stays close to what learners actually use in Python jobs, with tools like Jupyter Notebook, VS Code, PyCharm, Pandas, and Flask / Django introduced in a usable way.

We stand apart through our commitment to:

  • Learn Python step by step from basics to advanced concepts
  • Practice with real tools used in coding and data work
  • Work on projects that match the syllabus and course outcomes
  • Get mentor guidance on assignments, interview prep, and job roles
  • Choose training support that fits beginner and working learner schedules
 classes
Live Online
Remote Learning

AI Online Live Classes

Live online Python classes are available for learners in San Francisco who prefer studying from home or need flexibility. You still get interactive sessions, coding practice, mentor support, and project-based learning across the full Python syllabus.

Live interactive classes with practical coding demonstrations
Recorded sessions available for revision and practice
Weekly assignments with mentor feedback and guidance
Real projects covering Generative AI, LLMs, and Agentic AI
Online career guidance and interview preparation support

Python Training Program

Beginners

Good for learners starting Python from scratch and needing a clear path from basics to projects.

Students

Useful for college students who want Python skills for internships and entry-level roles.

Working Professionals

Fits developers or analysts who want to add Python, automation, or data handling skills.

Career Changers

Helps non-technical learners move into Python Developer or Data Analyst paths.

Backend Aspirants

Strong fit for learners interested in Flask, Django, REST APIs, and backend basics.

Quick Highlights of Inventateq Python Course

Course Duration

  • Duration: Structured around the full Python syllabus and project work.

  • Mode: Offline classroom and live online learning options available.

  • Language: English-led technical training with clear step-by-step explanation.

  • Level: Suitable for beginners and learners with basic coding exposure.

You can join with no prior Python experience.

Python Programming Course Curriculum in San Francisco

1. Introduction to Python (Week 1)

W1
  • What Python is and where it is used
  • Main features and applications of Python
  • Installing Python and setting up an IDE
  • Using the Python interpreter
  • Writing and running your first program

2. Python Basics (Week 2)

W2
  • Variables and data types
  • Input and output handling
  • Type casting
  • Arithmetic, logical, and comparison operators
  • Using if, elif, and else for control flow

3. Loops and Control Statements (Week 3)

W3
  • for loop and while loop usage
  • break, continue, and pass statements
  • Nested loops
  • Pattern program practice
  • Building logic with repetition and conditions

4. Data Structures in Python (Week 4)

W4
  • Lists, tuples, sets, and dictionaries
  • String manipulation
  • Selecting the right data structure for a task
  • Basic operations on collections
  • Working with structured Python data

5. Functions and Modules (Week 5)

W5
  • Built-in and user-defined functions
  • Lambda functions
  • Scope of variables
  • Modules and packages
  • Importing libraries into your programs

6. Object-Oriented Programming (Week 6)

W6
  • Classes and objects
  • Constructors
  • Inheritance
  • Polymorphism
  • Encapsulation and abstraction

7. File Handling and Exceptions (Week 7)

W7
  • Reading and writing files
  • File modes
  • Working with CSV and JSON files
  • Exception handling
  • Understanding common error types

8. Advanced Python Concepts (Week 8)

W8
  • Decorators
  • Generators
  • Iterators
  • Regular expressions
  • Multithreading basics

9. Python Libraries for Data and AI (Week 9)

W9
  • NumPy for numerical work
  • Pandas for data handling
  • Matplotlib for charts
  • Seaborn for visualization
  • Introduction to machine learning

10. Web Development with Python (Week 10)

W10
  • Flask basics
  • Django introduction
  • REST API concepts
  • Backend development basics
  • Overview of Python-based web application flow

11. Real-Time Projects and Interview Prep (Week 11)

W11
  • Calculator application project
  • Student management system
  • Web scraper project
  • Data analysis project
  • Resume building and interview preparation

Rated 4.9/5

Why Inventateq for Python Training in San Francisco?

Inventateq focuses on practical Python learning that connects each topic to coding tasks, data handling, and real project work. The training is designed so learners can move from syntax to usable Python skills without skipping the important basics.

Why Students Trust Inventateq San Francisco

  • Trainers explain Python with live coding and simple examples
  • The syllabus covers both fundamentals and advanced Python topics
  • Students get support for projects, resumes, and interview practice
  • The learning environment is structured for beginners and career switchers
  • Training stays aligned with Python Developer, Data Analyst, and Automation roles

Build Practical Python Skills for Real Job Roles

By the end of the course, learners can write Python code, handle data, build simple applications, and explain their projects in interviews. The course also helps students become comfortable with tools and workflows used in entry-level Python jobs.

Write clean Python code

Learn how to use variables, operators, loops, data structures, functions, and OOP to build code that is readable and organized.

Handle files and data

Work with CSV, JSON, file modes, and exceptions so you can manage common real-world Python tasks.

Use Python libraries

Apply NumPy, Pandas, Matplotlib, and Seaborn for data handling and visualization work.

Build simple web and API basics

Understand Flask, Django, REST API concepts, and backend development basics for web-oriented roles.

Complete project work

Finish calculator, student management, web scraper, and data analysis projects that show practical skill.

Prepare for interviews

Get help turning your Python learning into interview-ready answers and a job-focused resume.

Certification for Python Training

This certification validates your Python fundamentals, OOP knowledge, file handling, library usage, and project work. It helps show employers that you have trained on practical Python skills, not only theory.

Python programming fundamentals

Earn this certificate upon successful completion of our training program.

Pandas, NumPy, and data visualization basics

Validate your skills with recognized industry credentials.

Flask and Django introduction

Earn this certificate upon successful completion of our training program.

Detailed Insights: Python Training in San Francisco

Students Frequently Asked Questions

Is this Python course suitable for beginners?

Yes. The course starts with Python installation, the interpreter, and the first program before moving to basics, loops, data structures, and OOP. Beginners can follow it step by step without needing prior coding experience.

Will I get hands-on projects in this course?

Yes. The syllabus includes a calculator application, student management system, web scraper project, and data analysis project. These help you practice the topics you learn and build portfolio-ready work.

Does Inventateq provide placement assistance?

Yes, the course includes placement support for Python-related roles. You get help with resume building, mock interviews, and guidance on how to present your projects. The support is practical and focused on job readiness.

Can non-technical students join this Python training?

Yes. Python is a good starting point for many learners from non-technical backgrounds because the course begins with fundamentals and builds gradually. The mentor support also helps with logic, syntax, and practice questions.

Is online Python training available from San Francisco?

Yes. Live online training is available and follows the same syllabus as the classroom course. You can attend from San Francisco and still get interactive teaching, coding practice, and project guidance.

How long does the course take?

The course duration is based on the full syllabus, from Python basics to advanced concepts and project work. The exact pacing can vary by batch mode and learning speed. The structure is designed so you can complete the core language and apply it in projects.

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