Python Foundation
The Python Programming Course is designed to provide participants with a comprehensive understanding of the Python programming language, one of the most versatile and widely used languages in the field of software development. This course is suitable for beginners with no prior programming experience as well as experienced developers looking to expand their skill set.
Starting From: 13th May 2024
Course Duration: 20 Hours
Class Timings: 7PM to 9PM IST
Course Fee: ₹20,000 + GST /-
This Course Includes:
- Live Classes: Class led live by an instructor. Recordings available if you miss a class.
- Practical Assignments: Assignments at the end of every chapter set in a way that they will be combined to form a mini project
- Notes: Detailed notes including summary for every chapter
- Quiz: Quiz at the end of every chapter to check the understanding of important concepts
- Certificate: Earn a Certificate upon completion
Requirements:
No programming experience needed - We will teach you everything you need to know
A Mac or Windows PC computer with access to the internet
No paid software required – we will use Favo’s shared resources which will give you the exposure to understand Jupyter notebook and google colab
Our trainers will walk you through, step-by-step how to get all the software installed, set up and libraries
Skills you will learn:
Master Python basics for coding and computational logic
Utilize NumPy for advanced numerical operations
Learn essential data structures in Python
Analyze data effectively with Pandas
Visualize data using Matplotlib's diverse plotting options
Create aesthetically pleasing visualizations with Seaborn's statistical capabilities
Course Video:
- Chapter 1: Introduction of Python Language and Coding Environment Setup - Learn about Python's basics and set up your coding environment.
- Chapter 2: Variables in Python - Understand how variables work in Python and their importance in programming
- Chapter 3: Data Types in Python - Explore the various data types available in Python, such as integers, floats, strings, and more
- Chapter 4: Basic Functions in Python - Dive into essential functions in Python to perform common tasks efficiently
- Chapter 5: Introduction of NumPy and Arrays - Get introduced to NumPy, a powerful library for numerical computing, and learn about arrays
- Chapter 6: List, Tuples, set, and Dictionaries - Understand Python's built-in data structures and their applications.
- Chapter 7: In-built Functions in Numpy - Explore the in-built functions provided by NumPy for array manipulation and mathematical operations.
- Chapter 8: Program Implementation of Numpy - Apply your knowledge of NumPy to solve real-world problems through programming
- Chapter 9: Introduction of Pandas - Learn about Pandas, a data manipulation and analysis library, and its importance in data science.
- Chapter 10: Series with Pandas - Dive into Pandas Series, a one-dimensional labeled array capable of holding data of any type.
- Chapter 11: DataFrame with Pandas - Explore Pandas DataFrame, a two-dimensional labeled data structure with columns of potentially different types.
- Chapter 12: Program Implementation of Pandas - Apply Pandas to analyze and manipulate data sets through practical programming exercises.
- Chapter 13: Introduction of Matplotlib - Get introduced to Matplotlib, a comprehensive library for creating static, animated, and interactive visualizations in Python.
- Chapter 14: Different Type of Plots I - Learn about different types of plots such as line plots, scatter plots, and bar plots using Matplotlib.
- Chapter 15: Different Type of Plots II - Further explore advanced plotting techniques and customization options with Matplotlib.
- Chapter 16: Program Implementation of Matplotlib - Practice creating various types of plots and visualizations using Matplotlib in programming exercises.
- Chapter 17: Introduction of Seaborn - Discover Seaborn, a Python visualization library based on Matplotlib, designed for statistical plotting.
- Chapter 18: Different Type of Plots I - Explore Seaborn's capabilities in creating various statistical plots such as histograms, box plots, and violin plots.
- Chapter 19: Different Type of Plots II - Learn more advanced techniques and visualizations with Seaborn for effective data representation.
- Chapter 20: Program Implementation of Seaborn - Apply Seaborn to visualize and analyze data sets through practical programming tasks.
Elevate your journey to success – embrace the next level of personal and professional growth.
Sign up for free
Subscribe to our newsletter