Python for Data Science

Name: Python for Data Science
Rating: 4.3 (164 reviews)

Master the Art of Python Programming with Board Infinity and Propel Your Journey into Data Science.

Created byBoard Infinity

Last updated 8/2023

English

What you'll 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.

Course content

3 sections • 11 lectures • 1h 57m total length

Introduction to Python Programming Language10:53
In this lecture, we will learn what a programming language really is, and also answer some questions such as what is a formal language or what is a natural language. So let's dive right in.
Indentation in Python6:26
In this lecture, we will learn about indentation in Python, Indentation refers to the spaces or tabs that precede a line. In Python we do not use braces to make code blocks rather we use indentation. So let's watch the video on how is that done.
Python Identifiers9:31
In this lecture we will learn about identifiers in Python, basically, any name given to a variable, function, class, or even object can be termed as an identifier, and we will discuss the rules to declare identifiers in this video.
Variables in Python8:44
In this lecture, we will learn how to assign values to variables and different ways of doing that and even how to output a result into a variable for the final output statements.
Python Basics

Arithmetic Operators11:00
In this lecture, we will learn what arithmetic operators are, as the name ostensibly suggests it does arithmetic, i.e. we can do multiplication, addition, etc with such operators.
Assignment Operators3:02
In this lecture, we will learn what assignment operators are, in simple ways it is a "=" but it can also be coupled with other arithmetic operators so as to perform arithmetic and assign in a single line.
Comparison Operators3:14
In this lecture, we will learn what are comparison operators, well when two things are compared one of them can either be lesser, greater, or equal to the other and we will discuss how to check which one of these three cases apply to our situation in Python.
Python Operators

If Statement18:32
In this lecture, we will learn about if statement, else statement, and elif statement, these statements are responsible to see if a code of block is supposed to run based on a pre-defined condition, and even if yes, what block of code it is that is to be run depending upon the condition, that block is run.
While Loop9:23
In this lecture, we will learn about the while loop, basically loop as the name suggests to a certain degree is when something repeats more than once. so when we need to repeat a block of code until a condition is false or true we can use a while loop to do so.
For Loop21:31
In this lecture, we will learn about for loops, so as we already know about the loops from the previous video, we will look at another way to establish identical results, i.e. with for loop.
Break Statement15:26
Conditional Statements in Python

Requirements

This course "Python for Data Science" does not have any prerequisites, making it suitable for beginners with no prior programming experience. It covers essential Python concepts from the basics to facilitate learning and understanding for data science applications.

Description

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.

Who this course is 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.

Python for Data Science

What you'll learn

Explore related topics

Course content

Introduction to Python4 lectures • 36min

Operators In Python3 lectures • 17min

Conditional Statements In Python4 lectures • 1hr 5min

Requirements

Description

Who this course is for: