Python Online Course

During the Python course, you’ll engage with knowledge, and real-life case studies as you develop practical skills and techniques for immediate application to Python 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 skills to better understand the variables and basic data types in Python, python advanced functions and circuit design and wiring and the factors that contribute to career success and failure.

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

Python course will demystify Python 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 issues, whether it is relevant to your own business or outside your workplace.

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

Courses included in this Python bundle course:

Enroll in a Python course and get started with the Python journey!

This Python course is a course consisting of 9 courses with many Python-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: Arduino meets Python Step by Step

Course 5: Arduino Data Visualization using Python

Course 6: PIC Microcontroller Meets Python Step-by-Step

Course 7: Arduino SMS Sending Motion Detector using Python

Course 8: Micro Python Programming Hardware in Micro Python

Course 9: U&P AI - Natural Language Processing (NLP) with Python

Certificate of completion

Digital certificate - Included

Python 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 course providers. You will get a solid foundation of knowledge about Python in this Python course. You will be able to think critically about Python and comprehend basic Python theories and methods. This Python 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 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 the System

• Important Note Review the System

• Download and Install Python Editor

• Download and Install Python Editor

• Official Python Download Page

• Getting Started

• Hello World and Help Function

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 Jupyter Notebooks Part 1

• Anaconda and Jupyter 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

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 Jupyter?

• What is Google Colab?

• Python Variables, Booleans

• Getting Started with Google Colab

• 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

Course 4: Arduino meets Python Step by Step

• Introduction & Getting Started

• Introduction

• Who We Are?

• Software Requirements

• Installing Python and PIP

• Download and Install Arduino IDE

Course 5: Arduino Data Visualization using Python

• Introduction & Getting Started

• Introduction

• Who We Are?

• Hardware and Software Requirements

• Important Note: Review the System

• Important Note: Review the System

• Extra

• Installing Python and PIP

Course 6: PIC Microcontroller Meets Python Step-by-Step

• Introduction

• Introduction

• Who We Are

• Circuit Design and Wiring

• Circuit Design

• Coding PIC Microcontroller

• PIC Microcontroller Code

• Final Code

• Python Code

• Final Python Code

• test

Course 8: Micro Python Programming Hardware in Micro Python

• Introduction & Getting Started

• Introduction

• Who We Are

• Important Note

• History of Micro Python

• Micro Python Walkthrough

• Is Micro Python Ready

• Python and STEM

• Micro Python Physical Computing Elements

• What is A Microcontroller

• What is A Microcontroller

• Why Micro Python

• Why Micro Python

• Difference between Micro Python and Other Programming languages

Course 9: 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

• Lecture 11 P - Lemmatization

• Lecture 12 U - Chunks

• Lecture 13 P - Chunks

• Lecture 14 U - Bag Of Words

• Lecture 15 P - Bag Of Words

• Lecture 16 U - Category Predictor

• Lecture 17 P - Category Predictor

• Lecture 18 U - Gender Identifier

• Lecture 19 P - Gender Identifier

• Lecture 20 U - Sentiment Analyzer

• Lecture 21 P - Sentiment Analyzer

• Lecture 22 U - Topic Modeling

• Lecture 23 P - Topic Modeling

• Lecture 24 Summary

• Section 2 - Feature Engineering

• Lecture 25 Using Google Colab

• Lecture 26 Introduction

• Lecture 27 One Hot Encoding

• Lecture 28 Count Vectorizer

• Lecture 29 N-grams

• Lecture 30 Hash Vectorizing

• Lecture 31 Word Embedding

• Lecture 32 Fast Text

• Section 3 - Dealing with Corpus and WordNet

• Lecture 33 Introduction

• Lecture 34 In-built corpora

• Lecture 35 External Corpora

• Much more

Why Blackboard Learning:

Blackboard Learning is an online learning platform by which students from any corner of the world can learn his/her 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 course is for anyone looking to develop their skills and knowledge in python related fields, as well as for those-

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

Python course does not require prior knowledge or experience, anyone with a PC, tablet, or mobile phone can do the Python course. It would be ideal if the learner has:

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

Python's career path is exciting as it opens the doors to many professions related to Python. Prospective Python career paths include but are not limited to

• Python Developer
• Software Developer
• Software Engineer

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