Python Programming Foundation Course for Data Engineers

Python Programming – Foundation Course for Data Engineers, available at $64.99, has an average rating of 4.7, with 57 lectures, based on 267 reviews, and has 5446 subscribers.

You will learn about 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 This course is ideal for individuals who are Programmers willing to learn Python 3 Language It is particularly useful for Programmers willing to learn Python 3 Language.

Enroll now: Python Programming – Foundation Course for Data Engineers

Summary

Title: Python Programming – Foundation Course for Data Engineers

Price: $64.99

Average Rating: 4.7

Number of Lectures: 57

Number of Published Lectures: 57

Number of Curriculum Items: 57

Number of Published Curriculum Objects: 57

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

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

Who Should Attend

Programmers willing to learn Python 3 Language

Target Audiences

Programmers willing to learn Python 3 Language

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.

Course Curriculum

Chapter 1: Before you Start

Lecture 1: Course Structure – Must Watch

Lecture 2: Source Code and Other Resources

Chapter 2: Getting Started with Python

Lecture 1: Introduction to Python

Lecture 2: Installing Python

Lecture 3: Python Development Environments

Lecture 4: Working with Jupyter Notebook

Lecture 5: Working with PyCharm IDE

Lecture 6: Exercises and Solutions – Must Watch

Chapter 3: Python Language Basics

Lecture 1: Python Data Types

Lecture 2: Mathematical Operators in Python

Lecture 3: Python Program Lexical Structure

Lecture 4: Python If-else Expression

Lecture 5: Python Comparison Operators

Lecture 6: Practice Exercise – 1

Chapter 4: Working with Python Sequences

Lecture 1: Sequence Operations – Part 1

Lecture 2: Sequence Operations – Part 2

Lecture 3: Practice Exercise – 2

Lecture 4: Working with Python Strings

Lecture 5: Working with Python Lists and Tuples

Lecture 6: Python Loops and Range

Lecture 7: Practice Exercise – 3

Chapter 5: More Data Structures

Lecture 1: Python Dictionaries

Lecture 2: Python Sets

Lecture 3: Practice Exercise – 4

Lecture 4: Python Datetime Module

Lecture 5: Practice Exercise – 5

Chapter 6: You First Coding Challenge

Lecture 1: Coding Challenge 01-10

Lecture 2: Coding Challenge 11-20

Lecture 3: Coding Challenge 21-30

Chapter 7: Python Functions

Lecture 1: Introduction to Functions

Lecture 2: Default and Keyword Arguments

Lecture 3: Variable Length Arguments

Lecture 4: Unpacking Function Arguments

Lecture 5: Lambda Functions

Lecture 6: Practice Exercise – 6

Chapter 8: Errors and Exception Handling

Lecture 1: Introduction to Errors and Exceptions

Lecture 2: Basics of Exception Handling

Lecture 3: Python Try-Except deep dive

Lecture 4: User Defined Exception

Lecture 5: Practice Exercise – 7

Chapter 9: Python Objects and Classes

Lecture 1: Introduction to Python Class

Lecture 2: Python Classes and Objects

Lecture 3: Class Inheritance

Lecture 4: Class Methods Vs Instance Methods

Chapter 10: Python Modules and Packages

Lecture 1: Introduction to Python Modules

Lecture 2: Introduction to Python Packages

Lecture 3: Practice Exercise – 8

Chapter 11: Your Second Coding Challenge

Lecture 1: Coding Challenge 31- 40

Lecture 2: Coding Challenge 41- 50

Lecture 3: Coding Challenge 51- 60

Chapter 12: Final Project

Lecture 1: Project requirement – Part 1

Lecture 2: Project requirement – Part 2

Lecture 3: How to approach the solution

Lecture 4: Before you start coding your project

Lecture 5: Project Solution

Chapter 13: Epilogue

Lecture 1: Final Word

Lecture 2: Bonus Lecture : Get More

Instructors

Prashant Kumar Pandey
Architect, Author, Consultant, Trainer @ Learning Journal

Satyam Kumar
Instructor @ Learning Journal

Learning Journal
Online Training Company

Rating Distribution

1 stars: 1 votes

2 stars: 1 votes

3 stars: 12 votes

4 stars: 82 votes

5 stars: 171 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!