Python for Data Science

Python for Data Science, available at Free, has an average rating of 3.38, with 11 lectures, 3 quizzes, based on 86 reviews, and has 4205 subscribers.

You will learn about Python Basics: Learn Python syntax, identifiers, keywords, and variables, setting a solid foundation for more advanced concepts. Operators and Control Flow: Understand and apply Python's arithmetic, assignment, and comparison operators along with control flow statements. Loop Structures: Master using 'for' and 'while' loops for efficient execution of repeated tasks. Conditional Statements: Develop proficiency in using 'if' statements to control the decision-making processes within programs. This course is ideal for individuals who are This course "Python for Data Science" is designed for beginners and aspiring data scientists who want to learn Python programming for data science applications. The course provides a solid foundation in Python, enabling learners to perform data manipulation, analysis, and visualization effectively for various data science tasks. It is particularly useful for This course "Python for Data Science" is designed for beginners and aspiring data scientists who want to learn Python programming for data science applications. The course provides a solid foundation in Python, enabling learners to perform data manipulation, analysis, and visualization effectively for various data science tasks.

Enroll now: Python for Data Science

Summary

Title: Python for Data Science

Price: Free

Average Rating: 3.38

Number of Lectures: 11

Number of Quizzes: 3

Number of Published Lectures: 11

Number of Published Quizzes: 3

Number of Curriculum Items: 14

Number of Published Curriculum Objects: 14

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Python Basics: Learn Python syntax, identifiers, keywords, and variables, setting a solid foundation for more advanced concepts.
Operators and Control Flow: Understand and apply Python's arithmetic, assignment, and comparison operators along with control flow statements.
Loop Structures: Master using 'for' and 'while' loops for efficient execution of repeated tasks.
Conditional Statements: Develop proficiency in using 'if' statements to control the decision-making processes within programs.

Who Should Attend

This course "Python for Data Science" is designed for beginners and aspiring data scientists who want to learn Python programming for data science applications. The course provides a solid foundation in Python, enabling learners to perform data manipulation, analysis, and visualization effectively for various data science tasks.

Target Audiences

This course "Python for Data Science" is designed for beginners and aspiring data scientists who want to learn Python programming for data science applications. The course provides a solid foundation in Python, enabling learners to perform data manipulation, analysis, and visualization effectively for various data science tasks.

Python for Data Science is a comprehensive course brought to you by Board Infinity, designed to introduce individuals to the Python programming language, with a special focus on its applications within the realm of data science.

The course starts with a thorough introduction to the Python programming language, guiding you through the fundamentals needed to develop proficiency and confidence. You’ll learn the importance of correct Indentation in Python, an essential feature that establishes the structure of your code.

Following the basics, we dive into specific components of Python that make it an ideal language for data manipulation and analysis. We’ll delve into Python Identifiers, Keywords, and Variables – these are the building blocks that will allow you to write and understand Python code.

Once the foundation is set, we’ll move on to understand the various operators in Python – Arithmetic, Assignment, and Comparison Operators. These operators are critical in performing calculations, assigning values, and comparing data – necessary tasks in data science.

The next section of the course will introduce you to Python’s control flow tools – the If Statement, While Loop, For Loop, and the Break Statement. Understanding these components will allow you to write code that can make decisions, repeat tasks, and control the flow of your programs, which is vital in data pre-processing and analysis.

Throughout the course, real-world examples and exercises will be provided to give you hands-on experience and help cement your understanding of these concepts. By the end of this course, you’ll have a strong foundation in Python programming, preparing you for more advanced topics in data science and machine learning.

Whether you’re a beginner in programming or eager to enhance your data science skills, this course by Board Infinity is your perfect start.

Course Curriculum

Chapter 1: Introduction to Python

Lecture 1: Introduction to Python Programming Language

Lecture 2: Indentation in Python

Lecture 3: Python Identifiers

Lecture 4: Variables in Python

Chapter 2: Operators In Python

Lecture 1: Arithmetic Operators

Lecture 2: Assignment Operators

Lecture 3: Comparison Operators

Chapter 3: Conditional Statements In Python

Lecture 1: If Statement

Lecture 2: While Loop

Lecture 3: For Loop

Lecture 4: Break Statement

Instructors

Board Infinity
Board Infinity: Empowering Careers with Learning Paths

Rating Distribution

1 stars: 5 votes
2 stars: 4 votes
3 stars: 17 votes
4 stars: 27 votes
5 stars: 33 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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