Coding For The Professional Non-Developer

Coding For The Professional Non-Developer, available at $54.99, with 43 lectures, 5 quizzes.

You will learn about Introduction to computers Introduction to programming Data systems Python This course is ideal for individuals who are Non-developer professionals who want to learn programming to improve productivity and atomize thee workflows or People who want to learn the basics of computer programming It is particularly useful for Non-developer professionals who want to learn programming to improve productivity and atomize thee workflows or People who want to learn the basics of computer programming.

Enroll now: Coding For The Professional Non-Developer

Summary

Title: Coding For The Professional Non-Developer

Price: $54.99

Number of Lectures: 43

Number of Quizzes: 5

Number of Published Lectures: 43

Number of Published Quizzes: 5

Number of Curriculum Items: 48

Number of Published Curriculum Objects: 48

Original Price: $24.99

Quality Status: approved

Status: Live

What You Will Learn

Introduction to computers
Introduction to programming
Data systems
Python

Who Should Attend

Non-developer professionals who want to learn programming to improve productivity and atomize thee workflows
People who want to learn the basics of computer programming

Target Audiences

Non-developer professionals who want to learn programming to improve productivity and atomize thee workflows
People who want to learn the basics of computer programming

This course is for professional data scientists, data processors and GIS professionals who want to automate their workflows and speed up production.

No prior knowledge of coding is needed. All the concepts and special words will be explained during the introduction part of the course. Later more in-depth explanations will be given for more involved topics.

The last part of the course will be an introduction to Python with is a programing language that is commonly used in workflow automatization in a variety of software. Although we will be using Python as the main practical coding language there are examples of other coding languages used throughout the course. When you understand the basics of coding it is possible to figure out what different programming languages do even if you can understand it all making it possible to learn others.

Python is a good choice for a beginner coding language because it does not use a compiler it is an interpreted language which means that one line at a time is converted to machine code making an overarching program structure unnecessary although functions, classes and more can be used later when you are more familiar with its use and want to do more complex coding.

No software-specific procedures and functions will be covered because there is such a large area of the data market when python is used within other software that has its dedicated functions. This course will teach you the basics of coding. Even if you are not planning to use Python in the end.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Computer Basics

Lecture 3: Python 2 or 3

Lecture 4: Data Storage

Chapter 2: Programming

Lecture 1: Operators

Lecture 2: Variables, Keywords and Names

Lecture 3: Statments

Lecture 4: Python Getting Started

Lecture 5: Basic Types in Python

Lecture 6: Variables in Python

Lecture 7: Basic Operators in Python

Lecture 8: Python Recourses for this Course

Chapter 3: Data Types and Data Systems

Lecture 1: Numeric Data Systems

Lecture 2: Data Types and Data Structures

Lecture 3: Python Nomeric Data Types

Lecture 4: Python String Data Type

Lecture 5: Python List Data Type

Lecture 6: Python Dictionary Data Type

Lecture 7: Python Tuple Data Type

Lecture 8: Python Set Data Type

Lecture 9: Python Date Time Data Type

Lecture 10: Ptheon Array Data Type

Chapter 4: Program Flow Controle

Lecture 1: Subroutines

Lecture 2: Conditional Statements

Lecture 3: Loops

Lecture 4: Objects Orientated

Lecture 5: Python Functions 1

Lecture 6: Python Functions 2

Lecture 7: Python Functions 3

Lecture 8: Python If, Elsif and Else

Lecture 9: Python Error Handling

Lecture 10: Python Loops: For Loop

Lecture 11: Python Loops: While Loop

Lecture 12: Python Classes Part 1

Lecture 13: Python Classes Part 2

Lecture 14: Python Dataclasses

Chapter 5: Notebooks

Lecture 1: NoteBooks

Lecture 2: Jupyter Notebook Markdown

Lecture 3: Python Working With Files

Lecture 4: Introduction to Dataframes

Lecture 5: Dataframes Data Cleanup

Lecture 6: DataFrames Data Analyses: Group Data

Lecture 7: Conclusion

Instructors

Elizmay Vos
GIS Specialist

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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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