Python PCEP- Become Certified Entry-Level Python Programmer

Python PCEP: Become Certified Entry-Level Python Programmer, available at $99.99, has an average rating of 4.64, with 75 lectures, 16 quizzes, based on 6758 reviews, and has 31837 subscribers.

You will learn about Start programming from scratch Understand Python basics Prepare for PCEP-30-02 exam Get basic Python skills for Software Development, Data Science, Machine Learning etc. Apply for entry-level Python jobs Code along with me for real-life programming practice This course is ideal for individuals who are Beginners with no programming experience or Wanna-be software developers and data analysts or People who need the minimum of Python for Machine Learning, Data Science and Artificial Intelligence or Beginner programmers who want to pass PCEP-30-02 It is particularly useful for Beginners with no programming experience or Wanna-be software developers and data analysts or People who need the minimum of Python for Machine Learning, Data Science and Artificial Intelligence or Beginner programmers who want to pass PCEP-30-02.

Enroll now: Python PCEP: Become Certified Entry-Level Python Programmer

Summary

Title: Python PCEP: Become Certified Entry-Level Python Programmer

Price: $99.99

Average Rating: 4.64

Number of Lectures: 75

Number of Quizzes: 16

Number of Published Lectures: 74

Number of Published Quizzes: 16

Number of Curriculum Items: 91

Number of Published Curriculum Objects: 90

Number of Practice Tests: 1

Number of Published Practice Tests: 1

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

Start programming from scratch

Understand Python basics

Prepare for PCEP-30-02 exam

Get basic Python skills for Software Development, Data Science, Machine Learning etc.

Apply for entry-level Python jobs

Code along with me for real-life programming practice

Who Should Attend

Beginners with no programming experience

Wanna-be software developers and data analysts

People who need the minimum of Python for Machine Learning, Data Science and Artificial Intelligence

Beginner programmers who want to pass PCEP-30-02

Target Audiences

Beginners with no programming experience

Wanna-be software developers and data analysts

People who need the minimum of Python for Machine Learning, Data Science and Artificial Intelligence

Beginner programmers who want to pass PCEP-30-02

Welcome! My name’s Adrian and I’m a professional Software Developer. If you’ve never written code before and want to try programming for yourself, then you’ve just found an excellent course for that!

According to statistics, Python is in the top 3 programming languages all around the world. It is much easier and quicker to learn that most other languages. At the same time, it’s extremely popular among software developers, data analysts and other IT professions. All of this makes it an excellent choice for your first programming language.

COURSE OVERVIEW 

In this course, you’ll learn the fundamentals of Python 3 and you’ll get prepared for the Certified Entry-Level Python Programmer exam (PCEP). You don’t need any programming experience. I’ll show you how to install Python and start writing code from scratch. We’ll then delve straight into the code together. You’ll aso have a chance to create your own programs.

This course has 5 main modules, each one focusing on a different exam block. At the end of each module, you’ll have a chance to solve an exam quiz to check your skills.

This course also comes with a mock PCEP exam at the very end. It will have the same format as your actual exam, with the same passing grade and time limit. It will show you what kinds of questions you can expect.

COURSE ADVANTAGES

? concise – the short video lectures focus on the most important aspects: there are just 4 hours of videos to get you started ASAP

? based on practice – instead of useless academic theory, you learn the best developing practices drawn from my work experience,

? reasonably priced – compared to stationary developer bootcamps, the course is much cheaper, so you save not only time but also money,

? available anywhere, anytime – the online form lets you run the course in the most convenient place (at home, work or in a café) and time (while commuting by metro or relaxing at home after work), so you can adjust it to your agenda,

? accessible on desktop, mobile and TV – you can display my lectures on the device of your choice, so you don’t have to stick to your PC,

? certificate of completion – after completing the course, you will receive a printable certificate that will make your resume more attractive.

Course Curriculum

Chapter 1: Preparation

Lecture 1: What Can I Do With Python?

Lecture 2: The necessary tools

Lecture 3: Getting Started With Anaconda

Lecture 4: Using online environments

Lecture 5: How to Get The Most Out of This Course?

Lecture 6: PCEP Syllabus vs This course

Chapter 2: Module 1: Basic Concepts

Lecture 1: Your first Python program

Lecture 2: More about print()

Lecture 3: Read This Before Taking Coding Exercises

Lecture 4: Coding Exercise 1: Solution

Lecture 5: Variables

Lecture 6: Data Types

Lecture 7: Comments

Lecture 8: Numerical representations

Lecture 9: Operators

Lecture 10: Extra: How does modulo division % work?

Lecture 11: Extra: Watch out for integer division!

Lecture 12: Coding Exercise 2: Solution

Lecture 13: Reassigning values

Lecture 14: The input() function

Lecture 15: A bit of technical theory

Lecture 16: Coding Exercise 3: Solution

Chapter 3: Module 2: Data Types, Evaluations, Basic I/O

Lecture 1: Type casting

Lecture 2: Coding Exercise 4: Solution

Lecture 3: More about operators

Lecture 4: More about print() and strings

Lecture 5: Bit operators

Chapter 4: Module 3: Control Flow – Conditional Blocks and Loops

Lecture 1: If statements

Lecture 2: Logical operators and Conditions

Lecture 3: Joining multiple conditions

Lecture 4: Nested if statements

Lecture 5: Coding Exercise 5: Solution

Lecture 6: The while loop

Lecture 7: The for loop

Lecture 8: break and continue

Lecture 9: Other loop features

Lecture 10: Coding Exercise 6: Solution

Chapter 5: Module 4: Data Collections – Tuples, Dictionaries, Lists and Strings

Lecture 1: Introduction to lists

Lecture 2: Deleting list elements

Lecture 3: Adding new elements to lists

Lecture 4: Iterating lists

Lecture 5: Coding Exercise 7: Solution

Lecture 6: Changing element positions

Lecture 7: Checking element presence

Lecture 8: Copying lists

Lecture 9: List comprehension

Lecture 10: Nested lists

Lecture 11: Adding and multiplying lists

Lecture 12: Further string features

Lecture 13: Introduction to tuples

Lecture 14: Tuple operations

Lecture 15: Tuples in lists, lists in tuples

Lecture 16: Coding Exercise 8: Solution

Lecture 17: Introduction to dictionaries

Lecture 18: Dictionary operations

Lecture 19: Coding Exercise 9: Solution

Chapter 6: Module 5: Functions and Exceptions

Lecture 1: Introduction to writing functions

Lecture 2: Functions with parameters

Lecture 3: Default parameter values

Lecture 4: Name scopes

Lecture 5: The None value

Lecture 6: The return keyword

Lecture 7: Coding Exercise 10: Solution

Lecture 8: Recursion

Lecture 9: Generators

Lecture 10: Introduction to exceptions

Lecture 11: Can you catch SyntaxErrors?

Lecture 12: Exception hierarchy

Lecture 13: Propagating exceptions

Lecture 14: Assertion exceptions

Chapter 7: Congratulations!

Lecture 1: Congratulations!

Chapter 8: Mock Exam

Chapter 9: Next steps

Lecture 1: Where to go next?

Lecture 2: Bonus Lecture

Lecture 3: LinkedIn: Show your new skills!

Instructors

Adrian Wiech
Senior Software Engineer & Udemy Instructor

Rating Distribution

1 stars: 28 votes

2 stars: 36 votes

3 stars: 346 votes

4 stars: 2232 votes

5 stars: 4116 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!