Python Statistics for Data Analysis & Data Science

Python Statistics for Data Analysis & Data Science

Meritshot Academy

Last Updated on January 3, 2024 by GeeksGod

Course : Learn Python using Statistics: Data Analysis & Data Science

Free Udemy Coupon – Python Statistics: Unlock the Power of Data Analysis

Are you ready to embark on an exciting journey into the world of Python programming? This comprehensive course is designed to take you from a Python novice to a proficient programmer, equipping you with the skills to tackle real-world projects, automate tasks, perform data analysis, and excel in coding interviews.

Why Learn Python?

Python is one of the most popular programming languages in the world, renowned for its simplicity and versatility. It’s widely used in various domains, including web development, data analysis, scientific computing, artificial intelligence, machine learning, and more. Learning Python opens up a world of opportunities and empowers you to solve complex problems efficiently.

Course Overview

In this course, you’ll explore a wide range of topics through practical hands-on exercises and real-world examples. Here’s what you will learn:

Installing Python on Mac and Windows

In order to kickstart your programming journey, you’ll learn how to install Python on both Mac and Windows operating systems.

Python Fundamentals

Grasp the fundamentals of Python programming, starting with variables and their scope. Understand the power of variables and how they can store and manipulate data.

Data Types and Type Casting

Dive into data types and type casting to effectively manage different kinds of data. Explore the various data types available in Python, such as strings, integers, floats, lists, tuples, sets, and dictionaries.

Python Operators

Gain insight into essential Python operators to perform various operations with ease. Learn about arithmetic, comparison, assignment, logical, and bitwise operators.

Data Structures

Explore essential data structures like lists, tuples, sets, and dictionaries for efficient data manipulation. Understand their characteristics, advantages, and use cases.

Stacks and Queues

Learn about stacks and queues and their applications in solving real-world problems. Understand how these data structures work and how they can be implemented in Python.


Understand the space and time complexity of algorithms and their impact on code performance. Study sorting and searching algorithms to efficiently organize and retrieve data.

Functions and Modules

Master the concept of parameters and arguments to write flexible and reusable functions. Uncover the power of Python modules and their significance in building modular applications.

Data Processing

Utilize filter, map, and zip functions for streamlined data processing. Harness the flexibility of lambda functions to write concise and efficient code. Master list, set, and dictionary comprehensions for elegant data manipulation.

Data Analysis

Perform data analysis using analytical and aggregate functions to gain valuable insights. Learn how to categorize data, summarize data with measures like mean, median, and mode, and explore the variability in data using concepts like range, variance, and standard deviation.

String Manipulation

Handle strings and discover important string functions for text manipulation. Learn string formatting and user input techniques for interactive programming. Gain proficiency in working with meta characters and implementing regular expressions.

Control Flow

Implement conditional statements for decision-making in your code. Iterate over elements using for loops and while loops to process data efficiently. Control loop flow with break and continue statements for better program control.

Object-Oriented Programming (OOPs)

Grasp the fundamentals of object-oriented programming and its role in building robust applications. Understand inheritance, encapsulation, and polymorphism, and leverage them to write efficient code.

Date and Time

Explore the Date and Time class for working with dates and times effectively. Utilize the TimeDelta class for precise time manipulation in your Python programs.

Python Statistics

Delve into the world of data-driven insights and discover how statistics plays a pivotal role in shaping our understanding of information. Equip yourself with the essential Python skills required for effective data manipulation and visualization. Learn to categorize data, summarize data with measures like mean, median, and mode, explore the variability in data using concepts like range, variance, and standard deviation, understand relationships between variables with correlation and covariance, and grasp the shape and distribution of data using techniques like quartiles and percentiles.

Probability Theory

Dive into probability theory and its practical applications. Lay the foundation for probability calculations with set theory. Explore the probability of events under certain conditions. Uncover the power of Bayesian probability in real-world scenarios. Solve complex counting problems with ease. Understand the concept of random variables and their role in probability. Explore various probability distributions and their applications.

Join us on this enriching journey, and let’s unlock the power of Python together! Whether you’re an absolute beginner or looking to expand your programming skills, this course provides you with a solid foundation and practical expertise to succeed in your Python endeavors. Don’t miss out on this opportunity to learn Python and excel in the world of data analysis.

Enroll Now and Start Your Python Programming Adventure!

Free Udemy Coupon – Python Statistics: Unlock the Power of Data Analysis

Tags: Free Udemy Coupon, Python Statistics, Python Programming, Data Analysis, Programming Language, Python Novice, Real-World Projects, Automate Tasks, Coding Interviews, Mac, Windows, Variables, Data Types, Type Casting, Python Operators, Data Structures, Stacks, Queues, Algorithms, Sorting, Searching, Functions, Modules, Data Processing, Data Analysis, String Manipulation, Control Flow, Object-Oriented Programming, Date and Time, Probability Theory

Udemy Coupon :


What you will learn :

1. Real-world use cases of Python and its versatility.
2. Installation of Python on both Mac and Windows operating systems.
3. Fundamentals of programming with Python, including variables and data types.
4. Working with various operators in Python to perform operations.
5. Handling data using essential data structures like lists, tuples, sets, and dictionaries.
6. Utilizing functions and working with parameters and arguments.
7. Employing filter, map, and zip functions for data processing.
8. Exploring analytical and aggregate functions for data analysis.
9. Using built-in functions for regular expressions and handling special characters and sets.
10. Iterating over elements using for loops and while loops.
11. Understanding the object-oriented programming (OOP) concepts and principles.
12. Working with date and time classes, including TimeDelta for time manipulation.
13. Fundamental concepts and importance of statistics in various fields.
14. How to use statistics for effective data analysis and decision-making.
15. Introduction to Python for statistical analysis, including data manipulation and visualization.
16. Different types of data and their significance in statistical analysis.
17. Measures of central tendency, spread, dependence, shape, and position.
18. How to calculate and interpret standard scores and probabilities.
19. Key concepts in probability theory, set theory, and conditional probability.
20. Understanding Bayes’ Theorem and its applications.
21. Permutations, combinations, and their role in solving real-world problems.
22. Practical knowledge of various statistical tests, including t-tests, chi-squared tests, and ANOVA, for hypothesis testing and inference.

100% off Coupon