-50%
Complete Python Programming: From Installation to Advanced Libraries
Are you ready to begin your coding journey with one …
What you'll learn
Get introduced to Python programming and understand why it is beginner-friendly and widely used
Install Python on your system and set up an IDE such as PyCharm
Learn basic Python syntax and write your first Python program
Understand variables, data types, and input/output operations
Perform calculations and operations using operators
Apply conditional statements and loops to solve real-world problems
Create and use functions to write clean, reusable, and structured code
Work with core data structures including lists, tuples, sets, and dictionaries
Build 5 mini projects to apply concepts such as conditions, loops, functions, and data structures in real scenarios
Learn Object-Oriented Programming, essential Python libraries, and use AI-driven tools to boost productivity and problem-solving skills
-75%
Complete Python Data Science & Machine Learning Bootcamp
The Complete Python Data Science & Machine Learning Bootcamp is …
What you'll learn
Python programming fundamentals and best practices for data science
Data handling and manipulation using NumPy and Pandas
Data visualization using Matplotlib and Seaborn
Exploratory Data Analysis (EDA) to discover patterns and insights
Data cleaning, handling missing values, and outlier treatment
Statistical concepts including probability, distributions, and hypothesis testing
Feature engineering techniques such as scaling, encoding, and binning
Machine learning algorithms and their practical applications
Model evaluation and performance improvement techniques
Building and deploying machine learning projects using Flask and AWS
-67%
Python Programming For Everyone: Learn From Basics to Advanced
Python Programming for Everyone: Learn Basics to Advanced is a …
What you'll learn
Understand Python fundamentals, syntax, and programming best practices.
Write programs using variables, data types, input/output, and strings.
Apply conditional statements and loops to solve logical problems.
Work confidently with Python data structures: lists, tuples, sets, and dictionaries.
Use functions effectively, including arguments, return values, and scope.
Handle errors and exceptions using try, except, else, and finally.
Implement object-oriented programming concepts such as inheritance and polymorphism.
Perform numerical computing and data manipulation using NumPy and Pandas.
Clean, filter, and engineer features from real-world datasets.
Create insightful data visualizations using Matplotlib and Seaborn.
