Python Bootcamp for Beginners

Bootcamp Overview

Key Highlights

LIVE Classes Online
Taught by Qualified Expert
Doubt Clearing Sessions
Certificate of Completion

Ready to Start your Python Journey with FavTutor Bootcamp?

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Learn from Experienced Python Faculty and Mentors

FACULTY

MENTORS

Timeline and Schedule

Topics	Session Details	Timeline
Introduction to Programming	Introduction to programming and its importance in today's world.	20 March 2023 8:30 PM EST
Basic programming concept	Python and its features. Installing Python and an IDE (Integrated Development Environment) like Anaconda, Spyder, or PyCharm. Basic Python syntax, data types, and variables	21 March 2023 8:30 PM EST
Control Flow and Functions	Conditional statements, loops, and logical operators. Writing functions and calling them with arguments.	22 March 2023 8:30 PM EST
Data Types in Python	Basic data types in Python: strings, numbers, and booleans. Typecasting in Python.	23 March 2023 8:30 PM EST
Lists in Python	Clear up any confusion with personalized doubt sessions led by expert faculty - optional for all learners.	24 March 2023 8:30 PM EST
Doubt Session	Clear up any confusion with personalized doubt sessions led by expert faculty - optional for all learners.	25 March 2023 8:30 PM EST
Tuples and Sets in Python	Creating and manipulating tuples and sets in Python. Accessing elements in tuples and sets and manipulating them. Tuple and set methods and operations.	27 March 2023 8:30 PM EST
Dictionaries in Python	Creating and manipulating dictionaries in Python. Accessing elements in dictionaries and manipulating them. Dictionary methods and operations.	28 March 2023 8:30 PM EST
File Handling in Python	Reading and writing to text files in Python. Working with CSV files.	29 March 2023 8:30 PM EST
Object-Oriented Programming in Python	Introduction to object-oriented programming (OOP) in Python. Creating classes and objects in Python. Encapsulation, inheritance, and polymorphism in Python.	30 March 2023 8:30 PM EST
Exception Handling in Python	Understanding exceptions in Python. Using try-except blocks to handle exceptions. Raising and catching exceptions in Python.	31 March 2023 8:30 PM EST
Doubt Session	Clear up any confusion with personalized doubt sessions led by expert faculty - optional for all learners.	1 April 2023 8:30 PM EST
Functional Programming in Python	Introduction to functional programming in Python. Using lambda functions, map(), filter(), and reduce() functions. Functional programming concepts such as higher-order functions and recursion.	3 April 2023 8:30 PM EST
Debugging and Testing in Python	Debugging techniques in Python: print statements, debugging tools, and logging. Unit testing in Python: using the unittest module and test-driven development.	4 April 2023 8:30 PM EST
Advanced Data Structures in Python - 1	Introduction to advanced data structures in Python, such as stacks, queues, and linked lists. Understanding their implementation and operations.	5 April 2023 8:30 PM EST
Advanced Data Structures in Python - 2	Introduction to advanced data structures in Python, such as stacks, queues, and linked lists. Understanding their implementation and operations.	6 April 2023 8:30 PM EST
Introduction to NumPy	Creating NumPy arrays. Indexing and slicing arrays. Basic array operations and mathematical functions.	7 April 2023 8:30 PM EST
Doubt Session	Clear up any confusion with personalized doubt sessions led by expert faculty - optional for all learners.	8 April 2023 8:30 PM EST
Numpy-Advanced	Array manipulation, such as reshaping, stacking, and splitting. Broadcasting and vectorization. Universal functions.	10 April 2023 8:30 PM EST
Introduction to Pandas	Introduction to Pandas data structures: Series and DataFrame. Creating Series and DataFrames. Indexing and selecting data from Series and DataFrames.	11 April 2023 8:30 PM EST
Pandas-Advanced	Data manipulation with Pandas: merging, joining, and concatenating DataFrames. Grouping and aggregating data with Pandas.	12 April 2023 8:30 PM EST
Python Best Practices	Writing clean and maintainable code in Python. Code optimization techniques. Unit testing and debugging in Python.	13 April 2023 8:30 PM EST
Python Projects	Building a Python application that demonstrates your skills in programming fundamentals, NumPy, and Pandas. Project ideas can include data analysis, data visualization, or any other relevant topic.	14 April 2023 8:30 PM EST
Doubt Session	Clear up any confusion with personalized doubt sessions led by expert faculty - optional for all learners.	15 April 2023 8:30 PM EST

Your Path to Python Mastery: Start from Scratch and Develop Your Own Projects

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20

Hours Of Live Classes

7

Assignments and Quizzes

4

Doubt Sessions

3

Real World Projects

10

Students per Batch

10+

Mentors to Support

Key highlights of Our Bootcamp

Structured Curriculum

Our Weekly bootcamp syllabus is designed from the very basics to becoming a PRO in Python.

LIVE Classes

All the classes will be LIVE to get the best learning experience with an industry-led expert.

Coding Environment

We provide our own compiler for executing code to easily test your answers.

Assignments & Quizzes

Solve Assignments and Play Quizzes every week to practice what you learned.

Doubt Clearing Session

We will have additional doubt-clearing session every weekend to solve your queries and questions you may have.

Certificate of Completion

Get a Course completion certificate that you can show to recruiters & get a job.

Choose Your Plan: Basic vs Pro

We offer two pricing plans based on your requirements, so you can choose the option that best fits your learning goals and budget.

BASIC

Group Classes (max 10 students)

$399

This plan includes

20 hours Live Classes
1:1 Classes ONLY for You
Weekly Assignments
Adjustable Class Timings
Doubt Clearing Sessions
24/7 Mentor Support

ENROLL NOW

PRO

1:1 Personalized Classes

$699

This plan includes

20 hours Live Classes
1:1 Classes ONLY for You
Weekly Assignments
Adjustable Class Timings
Doubt Clearing Sessions
24/7 Mentor Support

ENROLL NOW

Frequently asked questions

Yes, this bootcamp is designed for absolute beginners, who don't have any experience in Python. We start from bare basics like python introduction & take it to a pretty advanced level like numpy and pandas.

In the basic plan, the classes will be conducted in a batch of 10 students, and the timings are fixed from 8:30 pm - 9:30 pm EST. However, if you're looking for customized timings, you may want to consider our PRO plan which allows you to personalize your class timings according to your schedule.

We offer additional doubt-clearing sessions every weekend with our faculty, so you can get your doubts resolved then. Additionally, if you enroll in our PRO plan, you'll also get 24/7 mentor support to help you with any queries or questions you may have.

Yes, you can access the recorded content after the live class. We understand that sometimes it's not possible to attend the live class due to unforeseen circumstances, so we make sure that the recorded content is available for you to watch at your convenience.

Absolutely not. There are no special prerequisites. You'll just need a computer/laptop/mobile and active internet connection to join the live classes.

Yes, We have 7 days refund policy. Please check our refund policy

It depends on your requirements and preferences. If you prefer personalized attention and customized timings, then the PRO plan would be the best fit for you. However, if you are comfortable with a fixed schedule and learning in a group, then the Basic plan may be more suitable. Additionally, the PRO plan also includes 24/7 mentor support for any doubts you may have.

Personalized Classes in the PRO plan refer to 1:1 sessions where you will receive individual attention from the tutor. You will have the flexibility to choose your own timings according to your schedule.

If you still have any doubts or questions, please feel free to reach out to us on WhatsApp or call us at +17862313819 or you can also email us at [email protected]. We'll be happy to assist you in any way we can.