Python Programming - Foundation Course for Data Engineers from Udemy

About the Course

Python is a programming language.

Learning a programming language goes into four parts.

1. Learn the Language

2. Practice Exercises

3. Coding Challenge

4. Project Challange

We designed this course in the same way. The first step is to learn the language and features.

I will cover this part using video lectures to explain the concepts and show you some working examples.

All you need to do is to sit relaxed and observe the videos.

The second part is to practice what you learned.

I will also include a set of simple practice exercises.

You might see some practice exercises in the middle of the section, or at the end.

These exercises will be super simple, and they will help you practice and play with what you learned in the given section.

The third part is to solve some complex coding challenges.

These are again exercises that I will include as a separate section.

You will get these challenges after you finish 2-3 sections and reach a logical level of your learning.

These challenges will present a random problem combining everything you learned in the previous sections.

They will be tough and tricky, but they will help you scale your knowledge to the next level.

The fourth and final step is to solve a more significant problem by applying everything you learned in this course.

You can call it a micro-project. The micro-project problem statement and the expectation are included as the last thing of this course. The micro-project allows you to apply all that you learned in this course and solve a business problem.

Nothing to worry about. You will also have access to one or more solutions for every given exercise and the micro-project.

You can try solving the given problems, and if you feel stuck, you can refer to the solution and other related material.

However, we recommend that you give an honest try to do the exercises and referring to the solution should be the last thing.

Looking forward to seeing you on the course.

What's inside

Learning objectives

Learn python 3 programming language
Working with python types and data structures
Working with python sequences and advanced data types
Python control structures and loops
Python functions and lambda

Exception handling
Objects and classes
Packages and modules
More than 100 coding exercises
Python coding project

Learn python 3 programming language
Working with python types and data structures
Working with python sequences and advanced data types
Python control structures and loops
Python functions and lambda
Exception handling
Objects and classes
Packages and modules
More than 100 coding exercises
Python coding project

Syllabus

Before you Start

Course Structure - Must Watch

Source Code and Other Resources

Getting Started with Python

Introduction to Python

Installing Python

Python Development Environments

Working with Jupyter Notebook

Working with PyCharm IDE

Exercises and Solutions - Must Watch

Python Language Basics

Python Data Types

Mathematical Operators in Python

Python Program Lexical Structure

Python If-else Expression

Python Comparison Operators

Practice Exercise - 1

Working with Python Sequences

Sequence Operations - Part 1

Sequence Operations - Part 2

Practice Exercise - 2

Working with Python Strings

Working with Python Lists and Tuples

Python Loops and Range

Practice Exercise - 3

More Data Structures

Python Dictionaries

Python Sets

Practice Exercise - 4

Python Datetime Module

Practice Exercise - 5

You First Coding Challenge

Coding Challenge 01-10

Coding Challenge 11-20

Coding Challenge 21-30

Python Functions

Introduction to Functions

Default and Keyword Arguments

Variable Length Arguments

Unpacking Function Arguments

Lambda Functions

Practice Exercise - 6

Errors and Exception Handling

Introduction to Errors and Exceptions

Basics of Exception Handling

Python Try-Except deep dive

User Defined Exception

Practice Exercise - 7

Python Objects and Classes

Introduction to Python Class

Python Classes and Objects

Class Inheritance

Class Methods Vs Instance Methods

Python Modules and Packages

Introduction to Python Modules

Introduction to Python Packages

Practice Exercise - 8

Your Second Coding Challenge

Coding Challenge 31- 40

Coding Challenge 41- 50

Coding Challenge 51- 60

Final Project

Project requirement - Part 1

Project requirement - Part 2

How to approach the solution

Before you start coding your project

Project Solution

Epilogue

Final Word

Bonus Lecture : Get More

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Covers Python fundamentals, which are essential for data engineers to manipulate data, automate tasks, and build data pipelines

Includes coding challenges and a micro-project, allowing learners to apply their Python skills to solve practical data engineering problems

Explores Python's datetime module, which is useful for handling time-series data, a common task in data engineering

Teaches exception handling, which is crucial for writing robust and reliable data engineering scripts and applications

Uses Python 3, which is the current version of Python and widely used in the data engineering field

Introduces Jupyter Notebook and PyCharm IDE, which are standard tools used by data engineers for development and experimentation

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Python Programming - Foundation Course for Data Engineers with these activities:

Review Python Syntax Fundamentals

Show steps

Reinforce your understanding of basic Python syntax, data types, and operators before starting the course. This will help you grasp more advanced concepts quickly.

Browse courses on Python Syntax

Show steps

Review Python data types and operators.
Practice writing simple Python statements.
Complete online quizzes on Python syntax.

Read 'Python Crash Course'

Show steps

Supplement your learning with a comprehensive guide to Python programming. This book offers practical examples and projects to solidify your understanding.

View Python Crash Course, 2nd Edition: A Hands-On,... on Amazon

Show steps

Read the first few chapters covering basic syntax.
Work through the example projects in the book.
Compare the book's explanations with the course material.

Solve Coding Challenges on HackerRank

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Sharpen your coding skills by solving Python-specific challenges on HackerRank. This will help you apply the concepts learned in the course to real-world problems.

Show steps

Create an account on HackerRank.
Solve at least 10 Python challenges of varying difficulty.
Analyze your solutions and compare them with others.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Create a Python Cheat Sheet

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Consolidate your knowledge by creating a Python cheat sheet that summarizes key concepts, syntax, and functions. This will serve as a valuable reference for future projects.

Show steps

Identify the most important Python concepts.
Summarize each concept in a concise and clear manner.
Organize the cheat sheet for easy reference.
Share your cheat sheet with other learners.

Build a Simple Data Pipeline

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Apply your Python skills to build a data pipeline that extracts, transforms, and loads data. This project will solidify your understanding of data structures, functions, and modules.

Show steps

Define the scope and requirements of the pipeline.
Implement the data extraction, transformation, and loading steps.
Test and debug the pipeline thoroughly.
Document the pipeline's functionality and usage.

Read 'Fluent Python'

Show steps

Explore advanced Python concepts and best practices with this comprehensive guide. This book will help you write more efficient and maintainable code.

View Fluent Python: Clear, Concise, and Effective... on Amazon

Show steps

Read chapters on data structures and algorithms.
Experiment with the code examples in the book.
Apply the concepts to your own projects.

Contribute to a Python Library

Show steps

Deepen your understanding of Python by contributing to an open-source library. This will expose you to real-world coding practices and collaborative development.

Show steps

Find a Python library that interests you.
Identify a bug or feature to work on.
Submit a pull request with your changes.
Respond to feedback from the library maintainers.

Career center

Learners who complete Python Programming - Foundation Course for Data Engineers will develop knowledge and skills that may be useful to these careers:

Data Engineer

A Data Engineer designs, builds, and maintains the infrastructure that allows data to be collected, stored, processed, and made accessible for analysis. This course, with its thorough treatment of the Python programming language, including data structures, control structures, and functions, helps build a strong foundation for a career as a Data Engineer. The course's coding challenges and final project provide practical experience using Python to solve problems, which is critical for this role. Furthermore, practice in modules and packages helps you organize and structure your code effectively, a useful skill when working with large data sets. The course's approach to error and exception handling is highly relevant for working with data pipelines and systems that will demand consistent performance and reliability. Those who wish to be a Data Engineer would particularly benefit from the focus on python and its application in the course.

See salaries and explore the career path for Data Engineer

Software Developer

A Software Developer writes, tests, and maintains software applications. This course provides comprehensive training in Python programming, which is a very popular and versatile language for software development. The course structure, from learning the basics to tackling coding challenges and a final project, helps build a strong base in practical coding skills. You will learn about Python's data types, control structures, functions, and object-oriented programming features, all of which are critical for any Software Developer. The emphasis on coding exercises and projects will help you gain practical, hands-on experience. This course may be particularly useful for those looking to become a Software Developer.

See salaries and explore the career path for Software Developer

Machine Learning Engineer

A Machine Learning Engineer develops and implements machine learning models for various applications. This course is a good starting point for anyone looking to work in machine learning because Python is the language of choice for developing and deploying machine learning models. The course provides a comprehensive introduction to the Python programming language. It covers coding exercises, error handling, classes, modules, and packages. Mastering these concepts helps anyone aspiring to be a Machine Learning Engineer. This course may be particularly useful due to its practical approach which includes coding challenges and a capstone project.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

A Data Scientist analyzes and interprets complex data to extract insights that can inform business decisions. This course in Python programming is an excellent starting point for a Data Scientist. Python is widely used in data science for data manipulation, analysis, and visualization. The course covers fundamental data structures, functions, and modules. These are critical skills. Additionally, the course's emphasis on coding practice, error handling, and project work provides a great practical foundation for the work of a Data Scientist. This course may be particularly helpful for working on projects and the analysis of large, real-world datasets.

See salaries and explore the career path for Data Scientist

Python Developer

A Python Developer specializes in using the Python programming language to build a variety of applications, from web development to data analysis. The course provides a solid foundation in Python, covering core concepts such as data types, control structures, object-oriented programming, and modules. The course also includes practical exercises, coding challenges, and a final project that will give aspiring Python Developers valuable experience. The focus on error handling and exception management helps in building robust applications, and understanding how to use modules and packages enhances the ability to write maintainable and scalable code. This course may be particularly beneficial for candidates looking to become Python Developers.

See salaries and explore the career path for Python Developer

Automation Engineer

An Automation Engineer designs and implements automated systems and processes, which often involves using programming languages to control and manage these systems. This course in Python programming can help build a strong foundation for an Automation Engineer, as Python is a versatile language often used in automation. The course's emphasis on control structures, functions, and modules will be very useful. Additionally, the practical exercises and project work will give you a feel for solving real world problems using Python. The focus on exception handling and error management also helps in developing solid and reliable systems, beneficial for an Automation Engineer. This course may be useful for a career in automation engineering.

See salaries and explore the career path for Automation Engineer

Backend Developer

A Backend Developer focuses on the server-side logic and databases that power applications. This course provides a solid foundation in Python, a language often used on the backend for web applications and data processing. The course covers essential programming concepts like data types, control structures, functions, and object-oriented programming. The practical exercises, coding challenges, and final project help to hone the skills required for backend work. Modules and packages also give you the tools to build scalable and maintainable applications. The course may be beneficial for those interested in becoming a Backend Developer.

See salaries and explore the career path for Backend Developer

Database Administrator

A Database Administrator manages and maintains databases, which involves understanding how data is organized and manipulated. This course in Python may be useful as Python is used in database interactions and automation. The course provides a foundation on data structures and functions, which are relevant for the role of Database Administrator. The practical exercises and project work may help you learn how to use Python to manage and automate database related tasks. This course may be useful for Database Administrators who want to leverage Python in their daily work.

See salaries and explore the career path for Database Administrator

Research Scientist

A Research Scientist conducts scientific studies, and they often use programming languages for data analysis, simulations, and automation of tasks. This course will help build fundamental skills in Python, which is used in many scientific studies. The course content on data structures, control structures, and functions will be highly relevant. The exercises and challenges may provide practical experience that is applicable in data research. This course may be helpful for someone looking to enter the field of Scientific Research.

See salaries and explore the career path for Research Scientist

Quantitative Analyst

A Quantitative Analyst, often working in finance, develops and implements models using mathematical and statistical techniques. This course will help build skills in Python programming which is used in quantitative analysis. The course content on data structures and functions is a good foundation for numerical work. The practical exercises and coding challenges will give you some tools useful in a Quantitative Analyst position. Although an advanced degree is often required for this career, this course may be useful for those interested in this field.

See salaries and explore the career path for Quantitative Analyst

Web Developer

A Web Developer creates and maintains websites and web applications. While this course focuses on Python programming, which is more often used for backend development, understanding a programming language like Python is useful for any Web Developer. This course teaches the core concepts of programming including data types, control structures, and functions. The Python material in this course also includes modules and packages, all of which will help you learn how to build complex web applications. This course may be useful for those starting out on a career path as a Web Developer.

See salaries and explore the career path for Web Developer

Technical Consultant

A Technical Consultant provides expertise on technology solutions to organizations, and a basic understanding of programming can be beneficial. This course can help familiarize a Technical Consultant with Python which is a widely used language. The course's content on program structure and object oriented programming will help any consultant understand programming concepts. Although many skills go into technical consulting, this course may be useful for those in that field, or wanting to enter that field.

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Technical Writer

A Technical Writer creates documentation for technical products and services, which benefits from a practical understanding of the underlying technology. Taking this course may be a good way to learn some of the basics of a widely-used programming language. The course's explanation of data structures, control structures, and functions may help give a Technical Writer the tools to understand products. A technical writer working in software may find this course useful.

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Business Intelligence Analyst

A Business Intelligence Analyst uses data to inform business decisions. While this course focuses on Python programming, which is more of a technical skill, understanding data structures and analysis is useful for any Business Intelligence Analyst. The course's content on data types, functions, and program structure may be beneficial for their position. Although not a primary skill, Business Intelligence Analysts may find this course to be helpful.

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Project Manager

A Project Manager oversees the planning, execution, and completion of projects, often in technical fields. Understanding software development and programming may be helpful for this, and this course provides a good introduction to the Python programming language. The course structure on handling projects and breaking down problems may be beneficial to a Project Manager. A project manager who wishes to gain a deeper understanding of software development may find this course useful.

See salaries and explore the career path for Project Manager

Python Programming - Foundation Course for Data Engineers

What's inside

Learning objectives

Syllabus

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Activities

Career center

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