Python for beginners using Anaconda and Jupyter Notebook

Python for beginners using Anaconda and Jupyter Notebook, available at $49.99, has an average rating of 4.25, with 30 lectures, based on 17 reviews, and has 51 subscribers.

You will learn about Python Basics: Understand the syntax, semantics, and basic constructs of Python. Anaconda Overview: Learn the importance of Anaconda in Python development and how it simplifies package management. Jupyter Notebook Essentials: Explore the user interface, features, and functionalities of Jupyter Notebook. Variables and Data Types: Delve into various Python data types, including integers, floats, strings, and booleans. Control Structures: Master the use of if, elif, and else statements for decision-making. Loops: Grasp the workings of 'for' and 'while' loops to execute repetitive tasks. Functions: Define and invoke functions; understand the concept of function parameters and return values. Data Structures: Dive into lists, dictionaries, sets, and tuples, learning how to create, manipulate, and access them This course is ideal for individuals who are Absolute Beginners: Individuals with little to no experience in programming, looking for a comprehensive and beginner-friendly introduction to the world of coding. or Data Enthusiasts: Those curious about data science, machine learning, or data analysis, and want to start with a powerful toolset like Anaconda and Jupyter Notebook. or Students: Whether you're in high school, college, or pursuing higher studies, if you're looking to add a versatile programming language like Python to your academic skill set, this course is for you. or Professionals in Non-technical Roles: If you're in fields like finance, marketing, sales, HR, etc., and you've heard how Python can help in automation or data analysis tasks, this is a great starting point. or Professionals in Non-technical Roles: If you're in fields like finance, marketing, sales, HR, etc., and you've heard how Python can help in automation or data analysis tasks, this is a great starting point. or Current Developers: Programmers familiar with other languages but want to add Python to their repertoire, especially using the convenient environment provided by Jupyter Notebook. or Researchers and Academics: Individuals involved in research across various fields, who want to leverage Python for data manipulation, statistical analysis, or even complex simulations. or Hobbyists and DIY Enthusiasts: Those who enjoy tech projects in their free time, be it creating games, setting up a home automation system, or any other DIY project requiring a programming touch. or Entrepreneurs: Business founders or product managers in startups or established firms who believe in the power of data-driven decisions and want a hands-on understanding of the tools their technical teams might be using. or Teachers and Educators: Those looking to introduce or integrate Python programming into their curriculum will benefit from understanding the beginner's perspective and the tools involved. or Career Changers: Individuals from various professions aiming to transition into tech roles, especially in areas like software development, data science, or web development. It is particularly useful for Absolute Beginners: Individuals with little to no experience in programming, looking for a comprehensive and beginner-friendly introduction to the world of coding. or Data Enthusiasts: Those curious about data science, machine learning, or data analysis, and want to start with a powerful toolset like Anaconda and Jupyter Notebook. or Students: Whether you're in high school, college, or pursuing higher studies, if you're looking to add a versatile programming language like Python to your academic skill set, this course is for you. or Professionals in Non-technical Roles: If you're in fields like finance, marketing, sales, HR, etc., and you've heard how Python can help in automation or data analysis tasks, this is a great starting point. or Professionals in Non-technical Roles: If you're in fields like finance, marketing, sales, HR, etc., and you've heard how Python can help in automation or data analysis tasks, this is a great starting point. or Current Developers: Programmers familiar with other languages but want to add Python to their repertoire, especially using the convenient environment provided by Jupyter Notebook. or Researchers and Academics: Individuals involved in research across various fields, who want to leverage Python for data manipulation, statistical analysis, or even complex simulations. or Hobbyists and DIY Enthusiasts: Those who enjoy tech projects in their free time, be it creating games, setting up a home automation system, or any other DIY project requiring a programming touch. or Entrepreneurs: Business founders or product managers in startups or established firms who believe in the power of data-driven decisions and want a hands-on understanding of the tools their technical teams might be using. or Teachers and Educators: Those looking to introduce or integrate Python programming into their curriculum will benefit from understanding the beginner's perspective and the tools involved. or Career Changers: Individuals from various professions aiming to transition into tech roles, especially in areas like software development, data science, or web development.

Enroll now: Python for beginners using Anaconda and Jupyter Notebook

Summary

Title: Python for beginners using Anaconda and Jupyter Notebook

Price: $49.99

Average Rating: 4.25

Number of Lectures: 30

Number of Published Lectures: 30

Number of Curriculum Items: 30

Number of Published Curriculum Objects: 30

Original Price: $34.99

Quality Status: approved

Status: Live

What You Will Learn

• Python Basics: Understand the syntax, semantics, and basic constructs of Python.
• Anaconda Overview: Learn the importance of Anaconda in Python development and how it simplifies package management.
• Jupyter Notebook Essentials: Explore the user interface, features, and functionalities of Jupyter Notebook.
• Variables and Data Types: Delve into various Python data types, including integers, floats, strings, and booleans.
• Control Structures: Master the use of if, elif, and else statements for decision-making.
• Loops: Grasp the workings of 'for' and 'while' loops to execute repetitive tasks.
• Functions: Define and invoke functions; understand the concept of function parameters and return values.
• Data Structures: Dive into lists, dictionaries, sets, and tuples, learning how to create, manipulate, and access them

Who Should Attend

• Absolute Beginners: Individuals with little to no experience in programming, looking for a comprehensive and beginner-friendly introduction to the world of coding.
• Data Enthusiasts: Those curious about data science, machine learning, or data analysis, and want to start with a powerful toolset like Anaconda and Jupyter Notebook.
• Students: Whether you're in high school, college, or pursuing higher studies, if you're looking to add a versatile programming language like Python to your academic skill set, this course is for you.
• Professionals in Non-technical Roles: If you're in fields like finance, marketing, sales, HR, etc., and you've heard how Python can help in automation or data analysis tasks, this is a great starting point.
• Professionals in Non-technical Roles: If you're in fields like finance, marketing, sales, HR, etc., and you've heard how Python can help in automation or data analysis tasks, this is a great starting point.
• Current Developers: Programmers familiar with other languages but want to add Python to their repertoire, especially using the convenient environment provided by Jupyter Notebook.
• Researchers and Academics: Individuals involved in research across various fields, who want to leverage Python for data manipulation, statistical analysis, or even complex simulations.
• Hobbyists and DIY Enthusiasts: Those who enjoy tech projects in their free time, be it creating games, setting up a home automation system, or any other DIY project requiring a programming touch.
• Entrepreneurs: Business founders or product managers in startups or established firms who believe in the power of data-driven decisions and want a hands-on understanding of the tools their technical teams might be using.
• Teachers and Educators: Those looking to introduce or integrate Python programming into their curriculum will benefit from understanding the beginner's perspective and the tools involved.
• Career Changers: Individuals from various professions aiming to transition into tech roles, especially in areas like software development, data science, or web development.

Target Audiences

• Absolute Beginners: Individuals with little to no experience in programming, looking for a comprehensive and beginner-friendly introduction to the world of coding.
• Data Enthusiasts: Those curious about data science, machine learning, or data analysis, and want to start with a powerful toolset like Anaconda and Jupyter Notebook.
• Students: Whether you're in high school, college, or pursuing higher studies, if you're looking to add a versatile programming language like Python to your academic skill set, this course is for you.
• Professionals in Non-technical Roles: If you're in fields like finance, marketing, sales, HR, etc., and you've heard how Python can help in automation or data analysis tasks, this is a great starting point.
• Professionals in Non-technical Roles: If you're in fields like finance, marketing, sales, HR, etc., and you've heard how Python can help in automation or data analysis tasks, this is a great starting point.
• Current Developers: Programmers familiar with other languages but want to add Python to their repertoire, especially using the convenient environment provided by Jupyter Notebook.
• Researchers and Academics: Individuals involved in research across various fields, who want to leverage Python for data manipulation, statistical analysis, or even complex simulations.
• Hobbyists and DIY Enthusiasts: Those who enjoy tech projects in their free time, be it creating games, setting up a home automation system, or any other DIY project requiring a programming touch.
• Entrepreneurs: Business founders or product managers in startups or established firms who believe in the power of data-driven decisions and want a hands-on understanding of the tools their technical teams might be using.
• Teachers and Educators: Those looking to introduce or integrate Python programming into their curriculum will benefit from understanding the beginner's perspective and the tools involved.
• Career Changers: Individuals from various professions aiming to transition into tech roles, especially in areas like software development, data science, or web development.