Python for Beginners – Learn to code in Python today

Python for Beginners – Learn to code in Python today, available at $54.99, has an average rating of 5, with 40 lectures, based on 3 reviews, and has 11 subscribers.

You will learn about You will be introduced to the world of Python and learn how to code with Python. You will learn the types of data that exist in Python. You will learn the types of errors that exist in Python. You will learn what functions and packages are in Python. You will work with special packages like NumPy, Matplotlib or Pandas. Aprenderás a manipular listas, diccionarios, matrices y dataframes This course is ideal for individuals who are Someone with no previous Python experience who wants to learn how to code in Python. It is particularly useful for Someone with no previous Python experience who wants to learn how to code in Python.

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Summary

Title: Python for Beginners – Learn to code in Python today

Price: $54.99

Average Rating: 5

Number of Lectures: 40

Number of Published Lectures: 40

Number of Curriculum Items: 40

Number of Published Curriculum Objects: 40

Original Price: €94.99

Quality Status: approved

Status: Live

What You Will Learn

You will be introduced to the world of Python and learn how to code with Python.
You will learn the types of data that exist in Python.
You will learn the types of errors that exist in Python.
You will learn what functions and packages are in Python.
You will work with special packages like NumPy, Matplotlib or Pandas.
Aprenderás a manipular listas, diccionarios, matrices y dataframes

Who Should Attend

Someone with no previous Python experience who wants to learn how to code in Python.

Target Audiences

Someone with no previous Python experience who wants to learn how to code in Python.

Welcome to this Python course for beginners. Learning to code in Python doesn’t have to be hard.

In this course you will learn how to code in Python from scratch and you will become an expert using the most important packages, such as Numpy, Pandas, Matplotlib or Seaborn.

Python is the most used programming language in the world and learning to code with Python can open many doors in your career.

This course is designed for anyone who wants to start coding with Python from scratch and we will guide you step by step.

You will work with Jupyter Notebooks, locally or online in Google Colab, you decide, but you will learn why this is the best way of working.

Learning to code doesn’t have to be difficult, and learning to code in Python is one of the most effective ways to learn to code because of how easy it is to learn for beginners.

We will cover the basics such as Python formats and syntax, different packages and data structures, errors, logic, loops and much more.

My name is Sebastian and I am the CEO and founder of Datademia, where we create the best data content in English and Spanish.

I have been working in the data world for more than ten years and in this course I will help you learn how to code with Python from scratch.

I invite you to see the full presentation of the course and some of the free classes.

If you have any questions you can contact me by direct message within the platform or through our social media.

See you in class!

Course Curriculum

Chapter 1: Introduction to the course and Python

Lecture 1: Course syllabus

Lecture 2: Course materials

Lecture 3: What is Python?

Chapter 2: Introduction to Jupyter Notebooks

Lecture 1: What is a Jupyter Notebook?

Lecture 2: Offline environment – Anaconda and Jupyter Notebooks

Lecture 3: Online environment – Google Colab

Lecture 4: Your first Jupyter Notebook

Lecture 5: Keyboard shortcuts

Lecture 6: Keyboard shortcuts – Practice

Lecture 7: Jupyter Notebook Functionality

Chapter 3: Start with Python

Lecture 1: Variables and data types in Python

Lecture 2: Variables and data types in Python – Practice

Lecture 3: Lists in Python

Lecture 4: Lists in Python – Practice

Lecture 5: Lists vs Tuples vs Sets

Lecture 6: Lists vs Tuples vs Sets – Practice

Lecture 7: Dictionaries in Python

Lecture 8: Dictionaries in Python – Practice

Lecture 9: Python Errors

Lecture 10: Python Errors – Practice

Lecture 11: Logic in Python

Lecture 12: Python Loops

Lecture 13: Python loops – Practice

Lecture 14: Python Functions

Lecture 15: Python Functions – Practice

Lecture 16: Python Packages

Lecture 17: Python Packages – Practice

Chapter 4: NumPy – Arrays

Lecture 1: Intro to NumPy

Lecture 2: NumPy – Practice

Chapter 5: Matplotlib – Visualisations

Lecture 1: Intro to Matplotlib

Lecture 2: Matplotlib – Practice

Chapter 6: Pandas – DataFrames in Python

Lecture 1: Intro to Pandas

Lecture 2: Pandas – Practice part 1

Lecture 3: Pandas – Practice part 2

Lecture 4: Pandas Exercise

Lecture 5: Pandas Solution

Chapter 7: Seaborn – Attractive visualisations

Lecture 1: Intro to Seaborn

Lecture 2: Seaborn – Practice

Chapter 8: Final Project

Lecture 1: Introduction to the Final Project

Lecture 2: Solution to the Final Project

Instructors

Sebastian Tunnell
Fundador y CEO de Datademia – Analista y Científico de Datos

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4 stars: 0 votes
5 stars: 3 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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