Python For Beginners: Learn Python & Practice Your Python

Python For Beginners: Learn Python & Practice Your Python, available at $64.99, has an average rating of 4.35, with 130 lectures, 17 quizzes, based on 106 reviews, and has 568 subscribers.

You will learn about Know how to use Built-In Functions in Programs in Python Differentiate between lists and dictionaries in Python Understand how to create Histogram in Python and what is Grouping in Categorical Data Learn the concept of inheritance in Python Identify the types of reserved words and used and used of special literals Learn the programs to print strings, integers, using FOR loop Learn what are functions and why we need them Explain why we need to learn python Learn why we need coding Understand the uses of python and why it is easy to learn Define why and where Break,Continue,Pass statements are being use and their examples Give example of Pass statements in Python Identify what is Class, its properties, and why we use it Be able to create a simple class in Python Define what is exceptions using multiple except blocks or one except block in code Explain what Data Pre_Processing means Define what is Numpy and Numpy ndarray Learn what is Pandas Series in Python Learn what is Tuples in Python Know how to index elements inside Tuples Identify the Functions of Tuples Define what are Regular Expressions In Python This course is ideal for individuals who are Beginner Python developers curious about data science and applying their skills or Python developers who would like a chance to practice their skills on real life projects or Python developers expert and innovator who would love to learn in depth It is particularly useful for Beginner Python developers curious about data science and applying their skills or Python developers who would like a chance to practice their skills on real life projects or Python developers expert and innovator who would love to learn in depth.

Enroll now: Python For Beginners: Learn Python & Practice Your Python

Summary

Title: Python For Beginners: Learn Python & Practice Your Python

Price: $64.99

Average Rating: 4.35

Number of Lectures: 130

Number of Quizzes: 17

Number of Published Lectures: 129

Number of Published Quizzes: 17

Number of Curriculum Items: 147

Number of Published Curriculum Objects: 146

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Know how to use Built-In Functions in Programs in Python
Differentiate between lists and dictionaries in Python
Understand how to create Histogram in Python and what is Grouping in Categorical Data
Learn the concept of inheritance in Python
Identify the types of reserved words and used and used of special literals
Learn the programs to print strings, integers, using FOR loop
Learn what are functions and why we need them
Explain why we need to learn python
Learn why we need coding
Understand the uses of python and why it is easy to learn
Define why and where Break,Continue,Pass statements are being use and their examples
Give example of Pass statements in Python
Identify what is Class, its properties, and why we use it
Be able to create a simple class in Python
Define what is exceptions using multiple except blocks or one except block in code
Explain what Data Pre_Processing means
Define what is Numpy and Numpy ndarray
Learn what is Pandas Series in Python
Learn what is Tuples in Python
Know how to index elements inside Tuples
Identify the Functions of Tuples
Define what are Regular Expressions In Python

Who Should Attend

Beginner Python developers curious about data science and applying their skills
Python developers who would like a chance to practice their skills on real life projects
Python developers expert and innovator who would love to learn in depth

Target Audiences

Beginner Python developers curious about data science and applying their skills
Python developers who would like a chance to practice their skills on real life projects
Python developers expert and innovator who would love to learn in depth

Get instant access to a 177-page Python Coding workbook containing all the reference material

Practice your Python with 10 real world coding projects; facial detection, password generator, fidget spinner & more

Over 13 hours of clear and concise step by step instructions, practical lessons and engagement

17 coding quizzes and knowledge checks at various stages to test your learning and confirm your growth

Introduce yourself to our community of students in this course and tell us your goals

Encouragement & celebration of your progress: 25%, 50%, 75% and then 100% when you get your certificate

This course introduces Python as a programming language, how to use it, and the different underlying concepts in developing applications or solving real-world problems using this language. This course does not require technical Coding skills and it is meant for everyone who wishes to build a career in digital world.

What will you learn:

Learn why we need coding
Explain why we need to learn python
Understand the uses of python and why it is easy to learn
Identify the types of reserved words and used and used of special literals
Learn the programs to print strings, integers, using FOR loop
Define why and where Break,Continue,Pass statements are being use and their examples
Give example of Pass statements in Python
Differentiate between lists and dictionaries in Python
Learn what are functions and why we need them
Know how to use Built-In Functions in Programs in Python
Be able to create a simple class in Python
Learn the concept of inheritance in Python
Define what is exceptions using multiple except blocks or one except block in code
Explain what Data Pre-Processing means
Define what is Numpy and Numpy ndarray
Learn what is Pandas Series in Python
Understand how to create Histogram in Python and what is Grouping in Categorical Data
Learn what is Tuples in Python
Know how to index elements inside Tuples
Identify the Functions of Tuples
Define what are Regular Expressions In Python

Contents and Overview

You’ll start with Why do we need coding?; Importance and Technical Description of Python; Python as an Interpreted Language; Uses of Python and why it is easy to learn; What is Jupyter and how it relates to Python; Installing and launching Jupyter and Python; Simple Python Project: Print Variables and String using Print function; Use of Length function,arrays,float data type and how to solve kernel error; Difference between Python 2.x and Python 3.x and which one is best to use; Concept of concatenation and assigning values to variables.

Then you will learn about the Basics of Python and Comparison Operators; Types of Reserved Words and Use of Special Literals; What are Identifiers and how to write a program to take user inputs; Loops and Iterations: FOR Loop; How to print Strings and Integers using FOR Loop; IF statements and how to use IF statements in Python; While Loop and how to use the while loop in Python; How to use Break,Continue, and Pass statements; Types of Range Functions in Python; Example of Pass statement in Python; String Operations: How to do iterations through String; String Operations: How to split and subtract String; Difference between Lists and Dictionaries in Python; Example of Lists in Python; Example of Dictionaries in Python.

We will also cover What are Functions and Why do we need them; Working of Functions in Python; Types and Examples of Functions in Python; User-Defined and Built-in Functions in Python; How to use Built-In Functions in Programs in Python; Anonymous Functions and how to use them in a program; What is a Class, its properties and why we use it; Create a Simple Class in Python; Init Method and its use in a Class in Python; What are Instance Variables and Class Variables in Python; What are Hidden Variables and their uses; How to print Object Information in a Class in Python; Concept of Inheritance in Python with examples; Types of Inheritance in Python; Single Inheritance in Python with example; Multiple Inheritance in Python with example; Multilevel Inheritance in Python with example; What is Super Function and how it is used in Python Inheritance; Override Method in Python Inheritance with example.

This course will also tackle What is Exception Handling in Python and how to handle Errors; Code Example of Exception Handling in Python; Handle Exceptions using multiple except blocks or one except block in code; Recap of Python Programming(data types,variables,classes,functions,inheritance); What is Data Pre-Processing; Data Pre-Processing, Data Mining, and Types of Data; Importing Libraries for Data Processing in Python; Importing the Dataset, Dependent, and Independent Variables; Handling the Missing Values in the Dataset for Data Processing with Code Example; Encoding Categorical Data in Data Processing and what is Hot Encoding; Label Encoding in Data Processing with Code Example; Normalizing the Dataset for Data Processing in Python; Splitting the Dataset For Data Processing in Python; What is Numpy and NumPy ndarray; Program for Checking Dimension and Shape of Array in Python; What is Pandas Series in Python; Creating a Pandas Series in Python with code example; Explanation of Pandas Rank with code example.

This course will also discuss What is Data Visualization and how it can be achieved in Python; How Data Visualization is used and Plotting Libraries in Python; Creating Histogram in Python and Grouping in Categorical data; What is Tuples in Python; Creating Tuples in Python with code example; How to index elements inside Tuples; Slicing, Comparison, and Operations on Tuples; Concatenation, Iteration, and Repetition of Tuples in Python; Functions of Tuples in Python; Frozen Set Operations.

Next, you will learn about What are Regular Expressions in Python; Modules of Python to work with Regular Expressions; Program to Extract Numbers from String Using Regular Expression Functions; Program to remove all White spaces Using Regular Expressions Functions.

Last but not the least, you’ll get to explore different coding projects in Python that you use to further test and hone your Python coding skills.

Who are the Instructors?

Laika Satish is your lead instructor – a professional making a living from teaching programming to people like you. She has joined with content creator Peter Alkema to bring you this amazing new course.

You’ll get premium support and feedback to help you become a better business writer!

Our happiness guarantee…

We have a 30-day 100% money back guarantee,so if you aren’t happy with your purchase, we will refund your course – no questions asked!

We can’t wait to see you in the course!

Enroll now, and we’ll help you write better than ever!

Peter and Laika

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Your Python Success Starts Here!! Wipeboard Overview Of Your Learning Journey

Lecture 3: Introduce Yourself To Your Fellow Students And Tell Everyone What Are Your Goals

Lecture 4: Let's Celebrate Your Progress In This Course: 25% > 50% > 75% > 100%!!

Lecture 5: Preview The 177 Page Python Downloadable PDF Workbook You Get With This Course

Chapter 2: Introduction To Coding In Python & Features of Python

Lecture 1: Know your Instructor

Lecture 2: Why do we need coding?

Lecture 3: Learn Python: Course contents and learning objectives

Lecture 4: Importance and Technical Description of Python

Lecture 5: Python as an Interpreted Language

Lecture 6: Uses of Python and why it is easy to learn

Lecture 7: What is Jupyter and how it relates to Python

Chapter 3: How to Install Anaconda

Lecture 1: Installing and launching Jupyter and Python

Lecture 2: Simple Python Project: Print Variables and String using Print function

Lecture 3: Use of Length function,arrays,float data type and how to solve kernel error

Chapter 4: Variables & Assigning Values

Lecture 1: Difference between Python 2.x and Python 3.x and which one is best to use

Lecture 2: Concept of concatenation and assigning values to variables

Chapter 5: Knowledge Check 1

Chapter 6: Basics of Python and Comparison Operators

Lecture 1: Basics of Python and Comparison Operators

Chapter 7: Knowledge Check 2

Chapter 8: Comparison Operators

Lecture 1: Types of Reserved Words and Use of Special Literals

Lecture 2: What are Identifiers and how to write a program to take user inputs

Chapter 9: Knowledge Check 3

Chapter 10: Loops & Iterations

Lecture 1: Loops and Iterations: FOR Loop

Lecture 2: How to print Strings and Integers using FOR Loop

Lecture 3: IF statements and how to use IF statements in Python

Lecture 4: While Loop and how to use the while loop in Python

Lecture 5: How to use Break,Continue, and Pass statements

Lecture 6: Types of Range Functions in Python

Chapter 11: Knowledge Check 4

Lecture 1: You've Achieved 25% >> Let's Celebrate Your Progress And Keep Going To 50% >>

Chapter 12: String Operations

Lecture 1: Example of Pass statement in Python

Lecture 2: String Operations: How to do iterations through String

Lecture 3: String Operations: How to split and subtract String

Lecture 4: Activity: Split the Even and Odd Elements into two different lists

Chapter 13: Knowledge Check 5

Chapter 14: Lists & Dictionaries

Lecture 1: Difference between Lists and Dictionaries in Python

Lecture 2: Example of Lists in Python

Lecture 3: Example of Dictionaries in Python

Lecture 4: Mini-project related to List and Concatenation in Python

Chapter 15: Knowledge Check 6

Chapter 16: Functions in Python

Lecture 1: What are Functions and Why do we need them

Lecture 2: Working of Functions in Python

Lecture 3: Types and Examples of Functions in Python

Lecture 4: User-Defined and Built-in Functions in Python

Lecture 5: How to use Built-In Functions in Programs in Python

Lecture 6: Anonymous Functions and how to use them in a program

Chapter 17: Knowledge Check 7

Chapter 18: Classes and Object Oriented Programming

Lecture 1: What is a Class, its properties and why we use it

Lecture 2: Create a Simple Class in Python

Lecture 3: Init Method and its use in a Class in Python

Lecture 4: What are Instance Variables and Class Variables in Python

Lecture 5: What are Hidden Variables and their uses

Lecture 6: How to print Object Information in a Class in Python

Lecture 7: Concept of Inheritance in Python with examples

Lecture 8: Types of Inheritance in Python

Lecture 9: Single Inheritance in Python with example

Lecture 10: Multiple Inheritance in Python with example

Lecture 11: Multilevel Inheritance in Python with example

Lecture 12: What is Super Function and how it is used in Python Inheritance

Lecture 13: Override Method in Python Inheritance with example

Chapter 19: Knowledge Check 8

Chapter 20: Exception Handling

Lecture 1: What is Exception Handling in Python and how to handle Errors

Lecture 2: Code Example of Exception Handling in Python

Lecture 3: Handle Exceptions using multiple except blocks or one except block in code

Lecture 4: You've Achieved 50% >> Let's Celebrate Your Progress And Keep Going To 75% >>

Chapter 21: Knowledge Check 9

Chapter 22: Coding Quiz 1

Chapter 23: Recap(Before Data Pre processing)

Lecture 1: Recap of Python Programming(data types,variables,classes,functions,inheritance)

Lecture 2: What is Data Pre-Processing

Chapter 24: Data Preprocessing

Lecture 1: Data Pre-Processing, Data Mining, and Types of Data

Lecture 2: Importing Libraries for Data Processing in Python

Lecture 3: Importing the Dataset, Dependent, and Independent Variables

Lecture 4: Handling the Missing Values in the Dataset for Data Processing with Code Example

Lecture 5: Encoding Categorical Data in Data Processing and what is Hot Encoding

Lecture 6: Label Encoding in Data Processing with Code Example

Instructors

Peter Alkema
Business | Technology | Self Development
Regenesys Business School
Regenesys Business School

Rating Distribution

1 stars: 1 votes
2 stars: 6 votes
3 stars: 9 votes
4 stars: 27 votes
5 stars: 63 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!

Menu