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.
Embark on a transformative journey into Python, one of the world’s most popular and versatile programming languages. Crafted with beginners in mind, this course amalgamates the robustness of Python with the intuitive environment provided by Anaconda and Jupyter Notebook, ensuring a seamless and engaging learning experience.
Key Takeaways:
Foundations of Python: Grasp the core concepts, syntax, and structures of Python to build a solid programming foundation. From variables to loops, understand the building blocks that form Python’s essence.
Introduction to Anaconda: Familiarize yourself with Anaconda, the world’s most popular Python distribution. Learn how it facilitates package management and deployment to ensure smooth project executions.
Mastering Jupyter Notebook: Delve into the interactive realms of Jupyter Notebook. Discover its dynamic nature, where code, text, and multimedia converge to offer a holistic coding environment.
Hands-on Practice: Engage in a plethora of real-world exercises within the Jupyter framework. Witness immediate outputs, tweak code in real-time, and learn from instant feedback.
Data Manipulation: Python is renowned for its prowess in data handling. Unearth beginner-friendly techniques to manipulate, analyze, and visualize data, all within the Jupyter ecosystem.
Transitioning to Advanced Modules: As you steadily navigate the Python landscape, get introduced to advanced modules and libraries that could be your next learning milestone.
By the end of this course, you will not only be equipped with the fundamental skills of Python programming but also gain proficiency in utilizing the Anaconda platform and Jupyter Notebook to their fullest potential. This synergy ensures that your transition from a beginner to a confident Python enthusiast is smooth, interactive, and enriched with hands-on experience.
Whether you’re an aspiring developer, a data enthusiast, a student venturing into the world of programming, or someone from a non-technical background with a keen interest in coding, this course is your gateway to the captivating world of Python.
Leverage the dual advantage of learning Python alongside mastering tools like Anaconda and Jupyter Notebook. Allow us to guide you through your initial steps into programming, ensuring a robust foundation and a passion for exploration. Welcome to the realm of Python with Anaconda and Jupyter Notebook!
Course Curriculum
Chapter 1: Setting your environment
Lecture 1: Introduction
Lecture 2: What is Python
Lecture 3: What is Anaconda
Lecture 4: Installing Anaconda on Windows
Lecture 5: Verify Anaconda Installation on Windows
Lecture 6: Installing Anaconda on Mac
Lecture 7: Verify Anaconda installation on Mac
Lecture 8: Introduction to Conda
Lecture 9: Introduction to Anaconda Navigator
Lecture 10: Anaconda Navigator Overview
Lecture 11: What are environments
Lecture 12: Creating a new environment with Anaconda
Lecture 13: Creating a new environment with Conda
Lecture 14: What is Jupyter Notebook
Lecture 15: Installing Jupyter Notebook using Anaconda
Lecture 16: How to start Jupyter Notebook Server
Lecture 17: How to create a new notebook
Chapter 2: Python Programming Essentials
Lecture 1: Python Expressions
Lecture 2: Python Statements
Lecture 3: Python Code Comments
Lecture 4: Python Data Types
Lecture 5: Casting Data Types
Lecture 6: Python Variables
Lecture 7: Python List
Lecture 8: Python Tuple
Lecture 9: Python Dictionaries
Lecture 10: Python Operators
Lecture 11: Python Conditional Statements
Lecture 12: Python Loops
Lecture 13: Python Functions
Instructors
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Skill Tree
Skill based learning
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 1 votes
- 3 stars: 3 votes
- 4 stars: 7 votes
- 5 stars: 6 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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