Free Python Bootcamp - 2025

(Batches Start from 17 February 2025)

About The Program

With the belief to build a healthy ecosystem as per the Industry Standards REGex Software brings a FREE BOOTCAMP on Python. We organize Python Bootcamp for improving the knowledge and skills of the Students/Professionals, so that they can learn Pyhton

The “Free Bootcamp on Python” offered by REGex Software Services is an invaluable opportunity for individuals starting their journey with Python. This program will introduce you to  Python, Pandas, NumPy  etc. from Basics to Advance. If you want to become Data Scientist, REGex introduce this program for you.

Key Benefits & Perks

  • Learn Python from Scratch – No prior coding experience needed!  
  • Data Visualization with Matplotlib – Create impactful charts & graphs.  
  • Master Data Handling with Pandas – Work with real-world datasets & dataframes.  
  • Numerical Computing with Numpy – Perform efficient mathematical operations.  
  • Hands-on Live Sessions – Practical learning with expert mentors.  
  •  Certificate of Completion – Enhance your resume & portfolio!  
  • Industry-Relevant Case Study – Apply concepts to solve real-world problems.  
  • Career Guidance & Q&A Sessions – Explore opportunities in Data Science & Analytics.  

Location

Online 

Duration

20 – 25 Hours

Participants

30 per Batch

What you will Learn

Python

Pandas

NumPy

Study Material

  • E-Notes
  • Assignments & Poll test
  • 1.5 hours per day Live Sessions
  • Access of Recordings & Study Material
  • Mentorship Support
  • Work on multiple Minor Projects & Use Cases
  • Work on Live Projects

Output

  • Able to think out of the box
  • Become expert in multiple technology domains like: Python, Pandas, NumPy
  • Build projects on multiple technology domains
  • Work on more than 5 Use CASES & Projects

Why Choose Us

Live Sessions

Live Sessions by Expertise Trainers and Access of Recorded Session is also available.

Live Projects
Get a chance to work on Industry Oriented Projects to implement your learning.
24*7 Support
24*7 Mentorship Support available for all Students to clear all of your doubts.
Opportunities
REGex provides Internship / Job opportunities to the best Students in different Companies.

Placement Opportunities in Companies

You can get Internship/Training Opportunities to get placed in HP, DELL, Honeywell, Rightpoint, Frontdoor, Fractal and many more according to your performance.

Package Offered So Far

Placed Students//Partnership

What People Tell About Us

Placed Students

Course Content

Python

  • What is Python?
  • History and evolution of Python.
  • Python’s popularity and use cases.
  • Setting up Python (installation).
  • Running Python scripts and using the interactive shell.
  • Variables and data types (integers, floats, strings, booleans).
  • Comments in Python.
  • Basic arithmetic operations.
  • String manipulation.
  • Variables and naming conventions.
  • Defining functions.
  • Function parameters and return values.
  • Scope and lifetime of variables.
  • Importing modules.
  • Creating and using custom modules.
  • Reading from and writing to files.
  • Working with different file modes (read, write, append).
  • Using context managers with files.
  • Classes and objects.
  • Attributes and methods.
  • Inheritance and encapsulation.
  • Polymorphism and method overriding.
  • Constructors and destructors.
  • Handling errors with try and except.
  • Raising exceptions.
  • Handling multiple exceptions.
  • Using the ‘finally’ block.
  • List comprehensions.
  • Lambda functions.
  • Decorators.
  • Generators and iterators.
  • Working with external libraries and APIs.
  • PEP 8 style guide.
  • Code readability and maintainability.
  • Writing docstrings.
  • Version control (e.g., Git).

NumPy

  • Building simple applications.
  • Real-world examples.
  • Solving coding challenges.
  • Final project.
  • Popular Python libraries and frameworks (e.g., NumPy, pandas, Django).
  • Python for web development, data science, and machine learning.
  • Virtual environments and package management.
  • Real-world case studies.
  • Job opportunities and career paths.
  • Contributing to open-source projects.
  • Staying up to date with Python developments.
  • What is NumPy?
  • Installing NumPy
  • Importing NumPy
  • Understanding NumPy arrays vs. Python lists
  • Creating 1D, 2D, and 3D arrays
  • Converting lists to arrays
  • Array indexing and slicing
  • Copying and modifying arrays
  • Basic mathematical operations
  • Broadcasting and vectorized operations
  • Aggregation functions (sum, mean, min, max, etc.)
  • Reshaping arrays
  • Concatenation and stacking
  • Splitting arrays
  • Transpose and swapping axes
  • Generating random numbers 
  • Mathematical functions 
  • Linear algebra operations 
  • Sorting and searching elements in arrays

Pandas

  • What is Pandas?
  • Installing Pandas
  • Importing Pandas
  • Pandas Series vs. DataFrames
  • Creating a Series
  • Indexing and slicing a Series
  • Operations on Series
  • Creating DataFrames from lists, dictionaries, and NumPy arrays
  • Importing datasets (CSV, Excel, JSON)
  • Viewing and summarizing data (head(), tail(), info(), describe())
  • Indexing and selecting data (loc[], iloc[])
  • Filtering data
  • Adding and removing columns
  • Handling missing values (dropna(), fillna())
  • Renaming columns and indexes
  • GroupBy operations
  • Aggregation functions (sum(), mean(), count())
  • Pivot tables
  • Merging datasets (merge())
  • Concatenating DataFrames (concat())
  • Joining DataFrames (join())
  • Converting date columns
  • Resampling time series data
  • Handling datetime indexes
  • Reading and writing CSV files (read_csv(), to_csv())
  • Reading and writing Excel files (read_excel(), to_excel())
  • Handling JSON and SQL databases

Extra Sessions

Additinal Session on GIT, Linux, Docker, AWS Basics, Jenkins and many more for all students.

Fee Structure

Indian Fee (Physical)

                          Free Of Cost

Indian Fee (Online)

                          Free Of Cost

International Fee

                          Free Of Cost

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(Batches Start from 17 February 2025)

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*Extra off is applicable on 1 time payment only. Seats can be filled or Price can be increased at any time. Refund policy is not available*