Python and R – Scratch to Super developer
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
-
MOHAMMED SAIFULLAH
Fulll Stack Developer and Passionate instructor
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