Basic to Advance Python for Data Analysis – Part1
Learn everything a beginner needs to know about Python programming, including variables, loops, lists, and error handling. Create projects and become the best Python developer. Perfect for beginners interested in data analytics and automation.
What you’ll learn
- In this Part1, You will learn everything which a beginner needs to know before start working with real time data
- You will be able to get the idea how to program every type of project professionally in Python and what do we need to use and when to use it.
- You will understand Varaibles in Python, IF statements, different types of operators, Loops
- How to use Lists, Tuples, Dictionaries , error handlers, Constructors, Functions,Strings ,Random modules
- You will get many projects to create and they are discussed in lectures too so you can tally your codes with solutions and become the best
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
User Reviews
Be the first to review “Basic to Advance Python for Data Analysis – Part1”
You must be logged in to post a review.
There are no reviews yet.