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Python and R Scratch to Super developer

  • Development
  • Apr 26, 2025
SynopsisPython and R – Scratch to Super developer, available at...
Python and R  Scratch to Super developer No.1

Python and R – Scratch to Super developer, available at $54.99, with 267 lectures, and has 1 subscribers.

You will learn about 2 in 1 Course Basics to Master in both languages less theory more practicals No hallow content everything direct to the point Strong Understanding of fundamentals of Python Strong Understanding of fundamentals of R Quick summary after every chapter in python Simplified teaching and explanation This course is ideal for individuals who are Any one who is willing to grow from scratch to masters in python and R programming language It is particularly useful for Any one who is willing to grow from scratch to masters in python and R programming language.

Enroll now: Python and R – Scratch to Super developer

Summary

Title: Python and R – Scratch to Super developer

Price: $54.99

Number of Lectures: 267

Number of Published Lectures: 266

Number of Curriculum Items: 267

Number of Published Curriculum Objects: 266

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

  • 2 in 1 Course
  • Basics to Master in both languages
  • less theory more practicals
  • No hallow content everything direct to the point
  • Strong Understanding of fundamentals of Python
  • Strong Understanding of fundamentals of R
  • Quick summary after every chapter in python
  • Simplified teaching and explanation
  • Who Should Attend

  • Any one who is willing to grow from scratch to masters in python and R programming language
  • Target Audiences

  • Any one who is willing to grow from scratch to masters in python and R programming language
  • In this course you will learn the Full python language and R programming language, one thing i assure you is that by end of this course you will be in position that you can write the python code and can understand the others code comfortably and with good amount of practice of the lectures you can confidently attend any interview.

    The course has 3 parts for each section

    1. Theory of subtopic in a slide mode which will be shorter,

    2.Demo or Examples of same sub topic in the following lecture in elaborative manner.

    3. Finally For python Quick summary of the entire topic along with the screen shots of the code from example lectures

    I strongly encourage you to read the curriculum just to be sure that you are going to take the right decision.

    Once you learn both Python and R you can quickly learn any language in the market.

    Python:

    Learn Python from scratch! This course covers data types, loops, functions, and more. Ideal for beginners aiming to build real-world projects and enhance problem-solving skills.

    Oops covered in python

    R:

    Master the basics of R programming. This course focuses on data analysis, visualization, and statistics. Perfect for beginners who want to handle data efficiently and create insightful reports.

    Relax, Smoother journey ahead.

    Finally you can post your queries under Q & A section, you will get answers accordingly

    Course Curriculum

    Chapter 1: Introduction

    Lecture 1: Introduction

    Chapter 2: [Python] Set up and Installation

    Lecture 1: What is IDE

    Lecture 2: How to install PyCharm

    Chapter 3: [Python] Print Output

    Lecture 1: Print output

    Lecture 2: How to print output -Example

    Lecture 3: Quick Summary on Prints

    Chapter 4: [Python] Variables

    Lecture 1: What is Variable

    Lecture 2: Variables example

    Lecture 3: Quick Summary On Variables

    Chapter 5: [Python] Data Types

    Lecture 1: What is data types

    Lecture 2: What is Int

    Lecture 3: Int example

    Lecture 4: What is Float

    Lecture 5: Float example

    Lecture 6: What is indexing and how it works

    Lecture 7: What is string

    Lecture 8: String example

    Lecture 9: More on Strings

    Lecture 10: What is String Concatenation & Example

    Lecture 11: What is Boolean

    Lecture 12: Boolean example

    Lecture 13: Negating Boolean

    Lecture 14: What is List

    Lecture 15: Lists example

    Lecture 16: More on Int List

    Lecture 17: More on string List

    Lecture 18: What is Slicing of List

    Lecture 19: Slicing and Reading Lists

    Lecture 20: What is Tuples

    Lecture 21: Tuples example

    Lecture 22: More on tuples

    Lecture 23: What is slicing of tuple

    Lecture 24: Reading and Slicing Tuple

    Lecture 25: What is sets

    Lecture 26: Sets example

    Lecture 27: More on Sets

    Lecture 28: What is dictionary

    Lecture 29: Dictionary example

    Lecture 30: More on Dictionaries

    Lecture 31: What is None Type

    Lecture 32: None Type Example

    Lecture 33: Quick Summary on Data types

    Chapter 6: [Python] String format

    Lecture 1: What is String format

    Lecture 2: String format using format example

    Lecture 3: String format using Percentage(%) Operator example

    Lecture 4: String format using f-strings example

    Lecture 5: Quick Summary on String format

    Chapter 7: [Python] Inputs

    Lecture 1: What is Inputs

    Lecture 2: Inputs example

    Lecture 3: Multiple inputs example

    Lecture 4: Quick summary on inputs

    Chapter 8: [Python] Comments

    Lecture 1: What is Comment

    Lecture 2: Comments example

    Lecture 3: Quick Summary on Comments

    Chapter 9: [Python] Casting & Type conversions

    Lecture 1: What is Casting & Type conversion

    Lecture 2: Converting string and float to Int

    Lecture 3: Converting string and int to float

    Lecture 4: Converting int and float To string

    Lecture 5: Converting inputs

    Lecture 6: Quick summary on Casting & Type Conversion

    Chapter 10: [Python] Operators

    Lecture 1: What is operator

    Lecture 2: What is Arithmetic Operators

    Lecture 3: Arithmetic Operators example

    Lecture 4: What Is Augmented Assignment Operators

    Lecture 5: Augmented Assignment Operators example

    Lecture 6: What is Comparison Operators

    Lecture 7: Comparison Operators example

    Lecture 8: What is Logical Operators

    Lecture 9: Logical Operators example

    Lecture 10: What is Membership Operators

    Lecture 11: Membership Operators example

    Lecture 12: What is Identity Operators

    Lecture 13: Identity Operators Example

    Lecture 14: Quick Summary on Operators

    Chapter 11: [Python] If-Else statement

    Lecture 1: What is If else statement

    Lecture 2: What is indentation

    Lecture 3: If statement example

    Lecture 4: If Else statement example

    Lecture 5: If-elif-else statement example

    Lecture 6: Pass statement

    Lecture 7: Program to Print Grades based on user input

    Lecture 8: What is if else short hand

    Lecture 9: If-else Shorthand example

    Lecture 10: Quick summary on If else

    Chapter 12: [Python] Calculator

    Lecture 1: Planning of Calculator Code

    Lecture 2: Developing calculator

    Lecture 3: Quick Summary Calculator

    Chapter 13: [Python] Loops

    Instructors

  • Python and R  Scratch to Super developer No.2
    MOHAMMED SAIFULLAH
    Fulll Stack Developer and Passionate instructor
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