Python PCEP: Become Certified Entry-Level Python Programmer from Udemy

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.

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.

What's inside

Learning objectives

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

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

Syllabus

Everything you need to know before we dive into code

What Can I Do With Python?

The necessary tools

Getting Started With Anaconda

Test your skills after Module 1.

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Prepares learners for the PCEP-30-02 exam, which can help them gain a Python entry-level certification and demonstrate their knowledge to potential employers

Teaches Python basics, which are applicable to software development, data science, machine learning, and other IT professions, providing a versatile foundation

Includes coding exercises and quizzes after each module, offering hands-on practice and immediate feedback to reinforce learning and assess understanding

Uses Anaconda, which is a distribution of Python and R that simplifies package management and deployment, especially useful for data science and machine learning

Features a mock PCEP exam with the same format, passing grade, and time limit as the actual exam, allowing learners to simulate the testing experience

Explores topics such as exception handling, which is crucial for writing robust and reliable code, but may require additional study for complete beginners

Reviews summary

Pcep certification prep for beginners

According to learners, this course is a strong foundation strong foundation for absolute beginners aiming for the PCEP certification PCEP certification. Many found the explanations clear and easy to follow explanations clear and easy to follow, making complex Python concepts accessible. The inclusion of coding exercises coding exercises, module quizzes module quizzes, and particularly the mock exam mock exam were frequently highlighted as valuable tools for practicing and preparing for the test. While some mentioned the pace might be challenging pace might be challenging if completely new to programming, the overall sentiment is highly positive, with students feeling well-prepared for the exam and equipped with basic Python skills.

Pace might be fast if totally new.

"If you are completely new to programming, be prepared to pause and rewatch sections as the pace can be quick."

"Found the pace challenging at times as a total beginner, but manageable by reviewing."

"Experienced programmers might find it slow, but it felt a bit fast for me as a first-timer."

Covers PCEP well, not advanced topics.

"It provides exactly what's needed for PCEP, but don't expect to become an expert programmer here."

"This course is specialized for the PCEP exam; you'll need other resources for deeper dives."

"Great for entry-level certification, less so if you want advanced Python knowledge."

Instructor explains concepts clearly and concisely.

"Adrian is a great instructor, very clear and easy to follow."

"His explanations are concise and get straight to the point without unnecessary jargon."

"I really enjoyed the instructor's teaching style; it kept me engaged."

"The way concepts were explained made them easy to grasp, even difficult ones."

Hands-on components reinforce learning.

"The coding exercises after each section really helped solidify the concepts."

"The mock exam at the end was invaluable for testing my readiness and identifying weak areas."

"Practicing with the quizzes and coding challenges was essential for my understanding."

"I loved the hands-on parts; it's the best way to learn programming."

"The final mock test is a great simulation of the actual PCEP environment."

Excellent starting point for new programmers.

"As someone with zero programming experience, this course was perfect for getting started with Python."

"Everything is explained in a way that is easy for a complete beginner to understand."

"The course assumes no prior knowledge, which was exactly what I needed."

"I appreciated how the instructor broke down complex topics into simple steps for beginners."

"It's designed very well for those new to coding, patient and clear."

Highly effective in preparing for the exam.

"This course is exceptional in preparing for the PCEP exam. The mock exam is very helpful."

"I passed the PCEP exam thanks to this course. It covers exactly what you need to know."

"The topics covered align perfectly with the PCEP syllabus, making it a focused study tool."

"I feel much more confident about taking the PCEP exam after finishing this course and the mock test."

"The structure focusing on exam blocks made studying very efficient for the certification."

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 PCEP: Become Certified Entry-Level Python Programmer with these activities:

Review Basic Programming Concepts

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Reinforce fundamental programming concepts like variables, data types, and operators to build a solid foundation for learning Python.

Browse courses on Variables

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Review introductory programming tutorials or online courses.
Practice writing simple programs using these concepts in any language.
Take online quizzes to assess your understanding.

Read 'Python Crash Course'

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Supplement the course material with a comprehensive guide to Python programming, reinforcing key concepts and providing practical examples.

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

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Read the first few chapters covering basic Python syntax and data structures.
Work through the exercises and projects provided in the book.

Build a Simple Calculator

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Apply your Python skills by building a simple calculator program that performs basic arithmetic operations, reinforcing your understanding of input, output, and control flow.

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Plan the structure of your calculator program.
Implement the arithmetic operations using Python.
Test your calculator with different inputs.

Four other activities

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Show all seven activities

Help Others in Online Forums

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Reinforce your understanding by helping other students in online forums, answering their questions and explaining Python concepts.

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Find online forums or communities related to Python programming.
Browse the forums for questions you can answer.
Provide clear and helpful explanations to other students.

Create a Python Cheat Sheet

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Consolidate your knowledge by creating a cheat sheet summarizing key Python syntax, data structures, and functions covered in the course.

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Review your course notes and identify key concepts.
Organize the information into a concise and easy-to-read format.
Include examples and explanations for each concept.

Solve Python Coding Challenges

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Sharpen your Python skills by tackling coding challenges on platforms like HackerRank or LeetCode, focusing on problems related to data structures and algorithms.

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Choose a platform like HackerRank or LeetCode.
Select Python coding challenges appropriate for your skill level.
Solve the challenges and analyze your solutions.

Dive into Python 3

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Explore advanced Python concepts and techniques through a comprehensive guide, expanding your knowledge beyond the introductory level.

View Dive Into Python 3 on Amazon

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Read chapters on topics that interest you or that you find challenging.
Experiment with the code examples provided in the book.

Career center

Learners who complete Python PCEP: Become Certified Entry-Level Python Programmer will develop knowledge and skills that may be useful to these careers:

Python Programmer

A Python Programmer writes code using the Python language. This course is designed to provide a foundation in Python, making it an excellent starting point for a Python Programmer. The course begins with the very basics and covers data types, control flow, functions, and error handling, all of which are essential for writing Python scripts. A significant portion of the course involves hands-on coding, which is critical for building the skills of a Python Programmer. This course helps build the foundation needed to succeed in this role. Passing the mock PCEP exam at the end of the course will also help with job prospects.

See salaries and explore the career path for Python Programmer

Junior Programmer

A Junior Programmer is typically an entry-level role that involves writing code under supervision. This course is specifically designed for those new to programming, making it an ideal starting point for a Junior Programmer. The hands-on approach of the course will provide the practical experience needed to begin a career as a Junior Programmer. The core concepts such as variables, data types, control flow, and functions that are taught in this course are the essential skills for a Junior Programmer. The mock exam offers additional preparation for job applications and certifications.

See salaries and explore the career path for Junior Programmer

Software Developer

A Software Developer creates and maintains software applications. This requires a strong foundation in programming languages, and this course helps build a foundation in Python, a language widely used in software development. This course's focus on practical exercises will help a future Software Developer gain the hands-on experience necessary for success, while preparing them for the PCEP certification will help with career prospects. The course’s modules on control flow, data types, and functions are especially important for a Software Developer. Those seeking to enter the field should take this course to gain foundational skills.

See salaries and explore the career path for Software Developer

Teaching Assistant

Teaching Assistants help instructors with course delivery, which can include coding courses such as this one. This course will help future Teaching Assistants develop a strong understanding of Python essentials, like data structures, control flow, and functions. This course provides the knowledge and skills required to assist learners in their coding. The course’s focus on practical exercises and concepts will ensure a Teaching Assistant is proficient in the course matter. The modules on functions and error handling are especially important. Those interested in teaching should become proficient in the material using this course.

See salaries and explore the career path for Teaching Assistant

Software Engineering Intern

A Software Engineering Intern assists in the development of software applications. This course helps build a foundation in Python, which is a popular language used in software engineering, and may help one get an internship. The focus on basic concepts like variables, data types, and control flow are important for a Software Engineering Intern. The course's emphasis on practical coding exercises is also beneficial for developing hands-on skills. A Software Engineering Intern will also find that the course's material on functions and working with lists and dictionaries are useful. Anyone who wants to become a Software Engineering Intern should take this course to prepare.

See salaries and explore the career path for Software Engineering Intern

Backend Developer

Backend Developers work on the server-side of applications, which often includes using programming languages such as Python. This course helps build a strong foundation in Python programming, which can be useful for a Backend Developer. The course covers core concepts such as functions, data types, and control flow that a Backend Developer will use frequently. Furthermore, the course’s emphasis on hands-on experience will help an aspiring Backend Developer to gain the coding skills needed to work on server logic. The module on functions is especially important for those who wish to become Backend Developers.

See salaries and explore the career path for Backend Developer

Automation Engineer

Automation Engineers design and implement automated systems, often using scripting languages like Python. This course helps build important foundational Python skills that are useful for an Automation Engineer. The course focuses on the core concepts like variables, data types, control flow, and functions - all essential for scripting automated processes. The practical exercises also provide valuable experience in writing code, which is a key part of this role. The modules on data collections and working with input and output will be particularly useful for anyone planning to work as an Automation Engineer.

See salaries and explore the career path for Automation Engineer

Data Analyst

Data Analysts interpret data to identify trends and patterns to help businesses make decisions. Python is a popular tool for data analysis, and this course may be useful to develop the necessary programming skills. The curriculum covers key Python concepts like data types, operators, and control flow, which are crucial for manipulating and analyzing data. Moreover, this course focuses on practical application, which will help a Data Analyst gain experience in using Python for practical tasks. The modules on lists, tuples, dictionaries, and functions will be particularly relevant for anyone who wants to work as a Data Analyst.

See salaries and explore the career path for Data Analyst

Data Engineering Intern

Data Engineering Interns assist in building and managing data pipelines, often utilizing programming languages like Python. This course will help a Data Engineering Intern begin to learn essential skills in Python. The course will help build a solid base in Python programming, covering topics such as data types, control flow, and functions, all of which are important for data manipulation. This course also focuses on hands-on coding, which is essential for learning how to work with data. The modules on data collections and working with input and output are particularly relevant for a Data Engineering Intern. Those interested should take this course to gain Python experience.

See salaries and explore the career path for Data Engineering Intern

Data Scientist

Data Scientists analyze complex data to extract insights, requiring a strong understanding of programming languages like Python. This course may be useful in developing the necessary Python programming skills to work as a Data Scientist. The modules covering data types, control flow, and data collections like lists and dictionaries are particularly relevant to a Data Scientist. The course's emphasis on practical programming exercises will help build the hands-on coding skills needed for this field. Those looking to enter data science should consider taking this course.

See salaries and explore the career path for Data Scientist

Quality Assurance Engineer

Quality Assurance Engineers test software to ensure it meets standards. Python can be used to write test scripts, so this course may be helpful in learning the basics for a Quality Assurance Engineer. The course's focus on foundational Python concepts and practical coding skills will help an aspiring Quality Assurance Engineer. The modules on control flow statements, data types, and functions are particularly relevant. This course will help a Quality Assurance Engineer gain the skills needed to write effective test scripts.

See salaries and explore the career path for Quality Assurance Engineer

Machine Learning Engineer

Machine Learning Engineers develop and implement machine learning models. Python is heavily used in machine learning, so this course helps to build a base in the language. The course covers fundamental programming concepts like variables, operators, and control flow, all of which are essential for working with machine learning algorithms. This course also includes practice exercises that are necessary to develop a practical understanding of programming. A Machine Learning Engineer will find the material on functions and exceptions to be particularly helpful. Anyone interested in this field should start with this Python focused course.

See salaries and explore the career path for Machine Learning Engineer

Full-Stack Developer

A Full Stack Developer works on both the front-end and back-end of web applications. While this course focuses on Python, a language more often used on the back-end, it can still be a useful first step for a Full Stack Developer. The course provides a solid foundation in programming concepts like control flow, functions and data structures, all of which are useful for building any application. Furthermore, any experience with coding will be advantageous for someone who hopes to understand the architecture of web applications. This course may be useful to begin the journey of becoming a Full Stack Developer.

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Research Assistant

Research Assistants often use programming to process data, and Python is a common choice for this task. This course may be helpful as it introduces learners to core Python concepts and coding practices, which are skills that are useful for a Research Assistant. The course's focus on practical exercises is valuable for developing the coding skills needed for data analysis. The modules covering data types, control flow, and working with data collections will be particularly useful for anyone who wishes to pursue a career as a Research Assistant. A Research Assistant with programming skills is a valuable asset to many labs and projects.

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Bioinformatician

Bioinformaticians use programming to analyze biological data, often using Python. This course may be helpful in learning the basics for a Bioinformatician. The course's focus on Python concepts like variables, data types, control flow and functions, are useful for this type of data analysis. The practical coding exercises will further help build the hands-on skills needed to work as a Bioinformatician. The modules on lists, tuples, and dictionaries will be particularly relevant for anyone interested in working with biological datasets. Because it is an entry-level course, it may only be a starting point.

See salaries and explore the career path for Bioinformatician

Python PCEP

Become Certified Entry-Level Python Programmer

What's inside

Learning objectives

Syllabus

Traffic lights

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Reviews summary

Pcep certification prep for beginners

Activities

Career center

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