Python for Busy People Python Intro in 2 Hours

Python for Busy People – Python Intro in 2 Hours, available at Free, has an average rating of 4.68, with 23 lectures, 1 quizzes, based on 202 reviews, and has 9444 subscribers.

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You will learn about Understand the basics of Python syntax: Students will be able to recognize and understand common Python syntax elements. Write simple Python programs: Students will be able to write basic Python programs that solve simple problems, using the syntax elements they have learned. Work with Python libraries: Students will be able to use Python libraries to accomplish more complex tasks. In the course, well approach Numpy and Pandas. Gain familiarity with Pythons built-in modules and tools: Students will become familiar with Pythons built-in modules and tools, such as the math module. This course is ideal for individuals who are Data Scientists or Data Analysts or First Time Coders or Financial Analysts or Marketing Analysts It is particularly useful for Data Scientists or Data Analysts or First Time Coders or Financial Analysts or Marketing Analysts.

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Summary

Title: Python for Busy People – Python Intro in 2 Hours

Price: Free

Average Rating: 4.68

Number of Lectures: 23

Number of Quizzes: 1

Number of Published Lectures: 23

Number of Published Quizzes: 1

Number of Curriculum Items: 24

Number of Published Curriculum Objects: 24

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Understand the basics of Python syntax: Students will be able to recognize and understand common Python syntax elements.

Write simple Python programs: Students will be able to write basic Python programs that solve simple problems, using the syntax elements they have learned.

Work with Python libraries: Students will be able to use Python libraries to accomplish more complex tasks. In the course, well approach Numpy and Pandas.

Gain familiarity with Pythons built-in modules and tools: Students will become familiar with Pythons built-in modules and tools, such as the math module.

Who Should Attend

Data Scientists

Data Analysts

First Time Coders

Financial Analysts

Marketing Analysts

Target Audiences

Data Scientists

Data Analysts

First Time Coders

Financial Analysts

Marketing Analysts

Are you ready to gain the skills you need to succeed in today’s data-driven world? This introductory Python course is the perfect place to start your journey. You’ll learn the fundamental skills and knowledge you need to explore more advanced concepts and applications of Python. Python’s versatility and power make it increasingly essential in today’s job market, and this course will give you the confidence to dive deeper into the world of Python programming.

We’ll cover the basics of Python programming, including variables, functions, object types and control flow. Afterwards we’ll introduce two essential libraries for data analysis: pandas and numpy. With hands-on practice, quizes and exercises at the end of the course, you’ll pratice the skills covered and be ready to jump to new heights using the Python programming language.

In this course we’ll approach:

Using Python as a calculator;

Python Strings, Integers, Floats and Booleans;

Python Lists, Dictionaries, Tuples and Sets;

Python Control Flow (If, For, While);

Python Functions;

Numpy and Pandas;

Whether you’re a beginner or looking to enhance your current skills, this course is the perfect way to jumpstart your journey. Don’t wait – sign up now and take the first step towards unlocking the endless possibilities of Python programming.

Course Curriculum

Chapter 1: Course Welcome!

Lecture 1: Course Welcome!

Lecture 2: Course Materials and Note

Chapter 2: Setting up the Environment

Lecture 1: Installing the Anaconda Distribution

Lecture 2: Adding the PythonQuickCourse Environment to Anaconda

Lecture 3: Alternative: Running Notebooks on Google Colab

Chapter 3: Python Introduction – Atomic Data Types

Lecture 1: Getting Started – Jupyter Notebook Overview

Lecture 2: Using Python as a Calculator – Exploring Integers and Floats

Lecture 3: Exploring Python Libraries / Modules – Using the Math Library

Lecture 4: Python Strings and Indexes

Chapter 4: Python Data Structures and Other Topics

Lecture 1: Python Lists

Lecture 2: Discussing Methods and the Mutability Property

Lecture 3: Python Sets

Lecture 4: Python Dictionaries

Lecture 5: Python Tuples

Chapter 5: Control Flow and Functions

Lecture 1: If Statements

Lecture 2: Python Loops

Lecture 3: Python Functions

Chapter 6: Numpy and Pandas Quick Introduction

Lecture 1: Numpy Library Overview

Lecture 2: Pandas Overview

Chapter 7: Exercise Section

Lecture 1: Tutorial – How to Complete the Exercises

Chapter 8: Thank you!

Lecture 1: Feedback Form and Other Resources

Lecture 2: BONUS LECTURE – Other courses and Resources!

Lecture 3: Thank you for Enrolling!

Instructors

Ivo Bernardo
Partner and Senior Data Scientist @ Daredata Engineering

Rating Distribution

1 stars: 4 votes

2 stars: 2 votes

3 stars: 17 votes

4 stars: 58 votes

5 stars: 121 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!