Python : Python Automation

During the Python: Python Automation course, you’ll engage with knowledge and real-life case studies as you develop practical skills and techniques for immediate application to Python automation projects, or within your organization. You will benefit from the unique pedagogy and multidisciplinary approach of Blackboard Learning—an institution at the forefront of research and online learning—as you develop Python automation skills to better understand the circuit design, PIC to Python, and Python line structure and the factors that contribute to career success and failure.

Throughout this Python: Python Automation course, developed by industry experts, you’ll get the opportunity to learn from experts with diverse experience. Guided by experts, Python: Python Automation course prepares you to become a change-maker with the skills to drive your career or organization forward.

Python: The Python Automation course will demystify Python automation and give you the toolkit to make better contributions and become an even greater asset to your organization. It will also allow you to communicate more effectively and confidently about Python automation issues, whether it is with the relevant people in your own business or with those outside your workplace.

After completing the Python: Python Automation course from Blackboard Learning, you will be more skillful with more knowledge, along with practical tips and advice that will help you to learn the essential aspects of Python automation. Skills development in Python automation leads you to career development in the Python automation sector.

Courses included in this Python: Python Automation bundle course:

Enroll in the Python: Python Automation course and get started with the Python: Python Automation journey!

This Python: Python Automation course is a course consisting of 6 courses with many Python automation-related topics.

You will get in this bundle course-

Course 1: Introduction to Python A Practical Approach

Course 2: Learn Python Programming from A-Z

Course 3: Learn Python for Data Science & Machine Learning from A-Z

Course 4: U&P AI - Natural Language Processing (NLP) with Python

Course 5: Python Scripting for Automation

Course 6: AWS Automation with boto3 of Python and Lambda Functions

The Python: Python Automation course contains important modules that teach learners about their professional needs and succession. In the United Kingdom, Blackboard Learning is one of the most popular online Python: Python Automation course providers. You will get a solid foundation of knowledge about Python automation in this Python: Python Automation course. You will be able to think critically about Python: Python Automation and comprehend basic Python automation theories and methods. This Python: Python Automation course was created to provide you with the tools and methods you'll need to make a measurable effect in your career, whether your objective is to land a job, improve your abilities, or make a good influence in some other way.

Curriculum for Python: Python Automation bundle courses:

Course 1: Introduction to Python A Practical Approach

• Introduction & Getting Started

• Introduction

• Who We Are

• Why Python

• Should I learn Python first

• Important Note Review System

• Important Note Review System

• Download and Install Python Editor

• Download and Install Python Editor

• Official Python Download Page

• Getting Started

• Hello World and Help Function

• Print Your First Python Line

• Variables and basic data types in Python

• Variables and basic data types in Python

• The Code

• Variables

• Comments

• Commenting your code

• The Code

• Comments

• Input

• Reading Keyword input

• The Code

• Exercise-Build a program to say Hello

• Exercise-Build a program to say Hello

• The Code

• Exercise-Build a simple calculator app

• Exercise-Build a simple calculator app

• The Code

• Conditional Statements

• Conditional Statements

• The Code

• Loops-For Loop

• Loops For Loop

• The Code

• Loop-While Loop

• Loops While Loop

• The Code

• Exercise-Build a username password app

• Exercise Username and password

• The Code

• Resources

• Built-in Functions

• Python String Methods

• Get Python From Windows 10 Store

Course 2: Learn Python Programming from A-Z

• Section 1: Introduction to Complete Python Programming

• Intro To Python Section Overview

• What is Python Programming?

• Who is This Course For?

• Python Programming Marketplace

• Python Job Opportunities

• How to Land a Python Job w/o a Degree

• Python Programmer Job Roles

• Section 2: Getting Familiar with Python

• Getting Familiar with Python Overview

• Installing Python on Windows

• Anaconda and Jupiter Notebooks Part 1

• Anaconda and Jupiter Notebooks Part 2

• Python Syntax

• Python Line Structure

• Line Structure Exercise

• Python Comments

• Joining Lines in Python

• Working with Multiple Statements on a Single Line

• Indentation

• Section 3: Python Basic Data Types

• Python Basic Data Types Overview

• Python Variables

• Integers and Floats

• String Overview

• String Manipulation

• String Indexing

• String Slicing

• Working with Boolean

• Printing Function

• Mini Project - Letter Counter

• Section 4: Python Operators

• Python Operators Overview

• Arithmetic Operators

• Assignment Operators

• Comparison Operators

• Logical Operators

• Identity Operators

• Membership Operators

• Bitwise Operators

• Section 5: Python Advanced Data Types

• Python Advanced Data Types Overview

• Python Lists

• List Slicing and Indexing

• Python Tuples

• Python Sets

• Python Dictionaries

• When To Use Each One?

• Compound Data Types

• Section 6: Python Control Flow Part 1

• Python Control Flow Part 1 Overview

• Intro To Control Flow

• More Conditional Statements

• For Loops

• While Loops

• Section 7: Python Control Flow Part 2

• Python Control Flow Part 2 Overview

• Break Statements

• Continue Statements

• Zip Function

• Enumerate Function

• List Comprehension

• Section 8: Python Functions

• Python Function Overview

• Intro To Functions

• Python Help Functions

• Defining Functions

• Variable Scope

• Doc Strings

• Section 9: User Input and Error Handling

• User Input and Error Handling Overview

• Intro To Error Handling

• User Input

• Syntax Errors

• Exceptions

• Handling Exceptions Part 1

• Handling Exceptions Part 2

• Section 10: Python Advanced Functions

• Python Advanced Function Overview

• Lambda Functions

• Functions rags and wars

• Python Iterators

Course 3: Learn Python for Data Science & Machine Learning from A-Z

• Section 1: Introduction to Python for Data Science & Machine Learning from A-Z

• Who is this course for?

• Data Science + Machine Learning Marketplace

• Data Science Job Opportunities

• Data Science Job Roles

• What is a Data Scientist?

• How to Get a Data Science Job

• Data Science Projects Overview

• Section 2: Data Science & Machine Learning Concepts

• Why We Use Python

• What is Data Science?

• What is Machine Learning?

• Machine Learning Concepts & Algorithms

• What is Deep Learning?

• Machine Learning vs. Deep Learning

• Section 3: Python for Data Science

• What is Programming?

• Why Python for Data Science?

• What is Jupiter?

• What is Google Collab?

• Python Variables, Booleans

• Getting Started with Google Collab

• Python Operators

• Python Numbers & Booleans

• Python Strings

• Python Conditional Statements

• Python For Loops and While Loops

• Python Lists

• More about Lists

• Python Tuples

• Python Dictionaries

• Python Sets

• Compound Data Types & When to use each one?

• Python Functions

• Object-Oriented Programming in Python

• Section 4: Statistics for Data Science

• Intro To Statistics

• Descriptive Statistics

• Measure of Variability

• The measure of Variability Continued

• Measures of Variable Relationship

• Inferential Statistics

• Measure of Asymmetry

• Sampling Distribution

• Section 5: Probability and Hypothesis Testing

• What Exactly is Probability?

• Expected Values

• Relative Frequency

• Hypothesis Testing Overview

• Section 6: Numbly Data Analysis

• Intro Numbly Array Data Types

• Numbly Arrays

• Numbly Arrays Basics

• Numbly Array Indexing

• Numbly Array Computations

• Broadcasting

• Section 7: Pandas Data Analysis

• Intro To Pandas

• Intro To Pandas Continued

• Section 8: Python Data Visualization

• Data Visualization Overview

• Different Data Visualization Libraries in Python

• Python Data Visualization Implementation

• Section 9: Introduction to Machine Learning

• Intro to Machine Learning

• Section 10: Data Loading & Exploration

• Exploratory Data Analysis

Course 4: U&P AI - Natural Language Processing (NLP) with Python

• Section 1 - Getting an Idea of NLP and Its Applications

• Lecture 1 Note!

• Lecture 2 Introduction to NLP

• Lecture 3 By The End Of This Section

• Lecture 4 Installation

• Lecture 5 Tips

• Lecture 6 U - Tokenization Data

• Lecture 7 P - Tokenization

• Lecture 8 U - Stemming

• Lecture 9 P - Stemming

• Lecture 10 U - Lemmatization

Course 5: Python Scripting for Automation

Course 6: AWS Automation with boto3 of Python and Lambda Functions

Why Blackboard Learning:

Blackboard Learning is an online learning platform through which students from any corner of the world can learn their desired course. Using online learning, we assist students in realizing their full potential and advancing their careers. Today, our goal is to be the world's leading provider of online learning experiences with a global impact. By leveraging online learning, we assist students in preparing for bright futures in world-changing jobs. We provide a wide range of categories, including Accounting & IT, Programming, Creative, and more. Our courses are designed to stretch students intellectually through state-of-the-art online learning.

This Python: Python Automation course is for anyone looking to develop their skills and knowledge in Python automation-related fields, as well as for those-

• I Want to enhance Python: Python Automation-related skills and knowledge.
• Use Python automation-related knowledge in his career or profession.
• Needs Python automation-related skills for new job applications and opportunities.
• Who wants to learn Python: Python Automation and apply it in real life?
• Anyone who wants to demonstrate Python: Python Automation to prospective employers or jobs.
• Anyone who wants to apply Python: Python Automation course-related skills and dive into relevant career paths.

Python: Python Automation course does not require prior knowledge or experience. Anyone with a PC, tablet, or mobile phone can do the Python: Python Automation course. It would be ideal for the learner to have:

• An open mind, a spirit of self-inspection, and willingness to improve himself/herself.
• A desire to improve business (and personal) knowledge and skills.
• The desire to enhance skills in Python automation.

This Python: Python Automation course is exciting as it opens the doors to many professions related to Python automation. Prospective Python: Python Automation course-related career paths that include but are not limited to

• Data analyst
• Data scientist
• Python developer

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Certificate of completion

Digital certificate - Included