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

Basic to Advance Python for Data Analysis – Part1 (12hrs), available at $69.99, has an average rating of 4.9, with 71 lectures, based on 11 reviews, and has 61 subscribers.

You will learn about 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 This course is ideal for individuals who are Beginner Python Developers interested in Data Analytics or If you are someone who wants to learn powerful programming language other than spreadsheets to do data automation and fabulous analysis It is particularly useful for Beginner Python Developers interested in Data Analytics or If you are someone who wants to learn powerful programming language other than spreadsheets to do data automation and fabulous analysis.

Enroll now: Basic to Advance Python for Data Analysis – Part1 (12hrs)

Summary

Title: Basic to Advance Python for Data Analysis – Part1 (12hrs)

Price: $69.99

Average Rating: 4.9

Number of Lectures: 71

Number of Published Lectures: 71

Number of Curriculum Items: 71

Number of Published Curriculum Objects: 71

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

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

Target Audiences

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

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

Course Curriculum

Chapter 1: Course Plans and Installing IDE and Python for Windows

Lecture 1: What are we going to learn and confusions in Students mind with regards to terms

Lecture 2: Download Python on our system -First thing to do.

Lecture 3: Download Pycharm – Best IDE for python

Lecture 4: Get familiar with basic things in Pycharm

Lecture 5: Font size and Theme of a Pycharm

Chapter 2: Introduction to Variables – Data Types

Lecture 1: What are Variables and their use?

Lecture 2: More data types on Variables

Lecture 3: Quiz on Variables

Lecture 4: Rules to remember in naming Variables

Lecture 5: Constructors- Data Conversion

Chapter 3: Python Strings

Lecture 1: Print function – Know everything

Lecture 2: Introduction to Strings -How to access values

Lecture 3: Strings-Access multiple Values now

Lecture 4: Reverse method in Strings

Lecture 5: Modify Reverse methods

Lecture 6: Split method

Chapter 4: Python Types of Operators for calculations

Lecture 1: Arithmetic Operators

Lecture 2: Assignment Operators in Python

Lecture 3: Comparison Operators

Lecture 4: Logical Operators

Lecture 5: Behmas Rule – Which comes first – divide or addition or multiplication

Lecture 6: Deep dive into INPUT Function

Chapter 5: Python IF Statements

Lecture 1: IF statements begins

Lecture 2: Quiz for you to do – Guess a Number

Lecture 3: IF and ELIF – Tackle multiple scenarios

Lecture 4: Different approaches to use in IF statements

Lecture 5: Nested IFs in Python

Chapter 6: Python Loops

Lecture 1: For Loops Begins

Lecture 2: Project Guess a number using Loops

Lecture 3: While Loops

Lecture 4: Nested Loops- Concept we will use in projects

Chapter 7: Python Lists

Lecture 1: Introduction to Lists

Lecture 2: Change values of Lists

Lecture 3: Add values in Lists

Lecture 4: Append method in Lists

Lecture 5: Move method in Lists

Lecture 6: For Loops in Lists

Lecture 7: While Loops in Lists

Lecture 8: Project for you – Get Even and Odd numbers

Lecture 9: Project – Get names using two Lists

Lecture 10: In and Not in Operators

Lecture 11: Quiz -Letter containing specific character

Lecture 12: Project – Find tripletts combinations which sums up to a 1

Lecture 13: Project – Who won highest medals

Lecture 14: Write IF in one line

Lecture 15: Sorting in Lists

Lecture 16: Join and Reverse methods in Lists

Lecture 17: Zip function in Loops – Awesome

Chapter 8: Python Tuples

Lecture 1: What are Tuples – Let us begin

Lecture 2: Change values in Tuple

Lecture 3: Add values in Tuple

Lecture 4: Loops in Tuple

Lecture 5: Index and Count methods

Lecture 6: Error handling in Python

Lecture 7: List and Tuple – Common and Differences – Summarizing

Chapter 9: Python Functions

Lecture 1: User Defined Function and how to write it

Lecture 2: Project for you

Lecture 3: Know more about Functions – Types

Lecture 4: Passing endless parameters to a function

Chapter 10: Random Module -Intro

Lecture 1: Project – Win a Lottery – Random module intro

Chapter 11: Scope of a Variable

Lecture 1: Scope of a Variable – Local and Global

Lecture 2: Example to explain more on Scope of a Variable

Chapter 12: Python Dictionaries

Lecture 1: Introducing Dictionary – Definition

Lecture 2: Access keys and values

Lecture 3: How to change values

Lecture 4: IN and Not IN

Lecture 5: Remove, delete and Clear methods

Chapter 13: Project Encrypt and Decrypt Passwords

Lecture 1: Project – Encrypt Decrypt Messages – Super Knowlege

Lecture 2: Project Continues – Variables importance now

Lecture 3: Finishing the Project with Decrypt code

Lecture 4: My other Courses with links

Instructors

ajay parmar
Instructor -Excel,Vba ,Access, Access Vba,BI,PQ,G SHEETS

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5 stars: 8 votes

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