Basic to Advance Python for Data Analysis - Part1 (12hrs)

What you'll learn:

Advanced Python for IoT & IoT Based Data Analysis – FreeCourseSite

• For the development of an IoT solution, one would need a programming language which while being lightweight and scalable at the same time. One such is Python and we are going to learn how to implement the same with this training

Requirements:

• Anybody interested in the Internet of Things and Raspberry Pi
• Students/Professionals interested in electronics and programming

Description:

In this Part1, I will teach you Python on my favorite IDE - Pycharm however you can use any other IDLE ,If you wish to. It does not matter at all. Code works the same way.

• What are variables and data type used in Python

• Declare variables and function to know the data type

• How to use constructors and why do we need to learn them.

• Know in and not in operators, logical operators, comparison and arithmetic operators

• How to pick up the error descriptions and solve the errors using them

• How to use for loops and do loops and use them with IF statements

• How to use Nested IFs and how to take care of indentations - Very important concept

• What are functions in Python and how to create user defined functions

• Rules to know before creating a Function

• Scope of a variable - Local and Global concepts

• Deep dive into Lists and use of lists in Loops with IF Statements

• In detail learning about Tuples and use with Loops and every crucial method we should know.

• Strings data types and their accessing approach plus methods to handle data

• What are error handlers and how to use them.

• Introduction to a random module and where you can use it.

• Create a Guess a number game using Loops and lists

• Create a project to identify odd and even numbers

• Create a project to guess and number but this time user should be given 3 attempts

• Find out which game has won the highest medals using two lists.

• Print function with every small detail . Its parameters like Sep and end - how to use them

• F string advantage over normal text if you write in Print function

• How to call and import modules or its functions within the directory and outside the directory

• My assistance to your questions and replies

Who this course is for:

• Beginner Python Developers interested in Data Analytics
• If you are someone who wants to learn powerful programming language other than spreadsheets to do data automation and fabulous analysis
• How to Do a SEO Website Audit, Step by Step
• American English vowel sounds/pronunciation/enunciation
• Decision Trees, Random Forests, AdaBoost & XGBoost in Python
• *NEW* AJAX fundamentals, simply put

Course Details:

• 12 hours on-demand video
• 1 article
• 3 downloadable resources
• Access on mobile and TV
• Full lifetime access
• Certificate of completion

Basic to Advance Python for Data Analysis - Part1 (12hrs) udemy free download

Python programming For Beginners (Covering its Core concepts)