
Certified Entry-Level & Associate in Python Programming Pack
Description
This course is a comprehensive guide aimed at aspirants seeking to acquire the Python Institute's PCEP and PCAP certifications. This all-in-one course is carefully designed to emulate the format, style, and difficulty level of the actual certification exams, providing an authentic experience to prepare learners adequately.
This course covers a wide range of Python programming topics, following the PCEP and PCAP exam syllabus closely. Essential Python programming concepts such as data types, control flow mechanisms, operators, data collections, modules, functions, and file operations are delved into, among other vital topics. This expansive coverage ensures that learners are well-versed with the essentials of Python programming, while also equipping them to apply these concepts practically.
The mock exams consist of questions that demand the application of theoretical knowledge to real-world scenarios, thereby reinforcing the understanding of Python programming concepts. Each question is accompanied by a detailed explanation of the correct answer, enabling learners to comprehend better and concentrate on areas needing improvement.
In conclusion, this course is a robust preparatory tool for individuals aiming for the PCEP and PCAP certifications, providing them the confidence to excel in the actual exam scenarios. The course can be instrumental in not only validating but also enhancing learners' Python programming skills.
[PCEP - Certified Entry-Level Python Programmer]
PCEP – Certified Entry-Level Python Programmer certification shows that the individual is familiar with universal computer programming concepts like data types, containers, functions, conditions, loops, as well as Python programming language syntax, semantics, and the runtime environment.
The PCEP certification shows that the individual is familiar with the following concepts: fundamental terms and definitions (e.g. compilation vs. interpretation), Python's logic and structure (e.g. keywords, instructions, indentation), literals, variables, and numeral systems, operators and data types, I/O operations, control flow mechanisms (conditional blocks and loops), data collections (lists, tuples, dictionaries, strings), functions (decomposition, built-in and user-defined functions, organizing interaction between functions and their environment, generators, recursion), exceptions (exception handling, hierarchies), as well as the essentials of Python programming language syntax, semantics, and the runtime environment.
[PCAP – Certified Associate in Python Programming]
PCAP – Certified Associate in Python Programming certification is a professional, high-stakes credential that measures the candidate's ability to perform intermediate-level coding tasks in the Python language, including the ability to design, develop, debug, execute, and refactor multi-module Python programs, as well as measures their skills and knowledge related to analyzing and modeling real-life problems in OOP categories with the use of the fundamental notions and techniques available in the object-oriented approach.
The PCAP certification shows that the individual is familiar with the following concepts: modules, packages, and PIP, character encoding, strings and string processing, generators, iterators, closures, files, file streams, and file processing, exception hierarchies, and exception classes and objects, working with selected Standard Library modules, and the fundamentals of the Object-Oriented Programming (OOP) approach.
PCAP - Certified Associate in Python Programming certification gives its holders confidence in their programming skills, helps them stand out in the job market, and gives them a head start on preparing for and advancing to the professional level.
Can I retake the practice tests?
Yes, you can attempt each practice test as many times as you like. After completing a test, you'll see your final score. Each time you retake the test, the questions and answer choices will be shuffled for a fresh experience.
Is there a time limit for the practice tests?
Yes, each test includes a time limit of 120 seconds per question.
What score do I need to pass?
You need to score at least 70% on each practice test to pass.
Are explanations provided for the questions?
Yes, every question comes with a detailed explanation.
Can I review my answers after the test?
Absolutely. You’ll be able to review all your submitted answers and see which ones were correct or incorrect.
Are the questions updated frequently?
Yes, the questions are regularly updated to provide the best and most relevant learning experience.
Additional Note: It’s highly recommended that you take the practice exams multiple times until you're consistently scoring 90% or higher. Don’t hesitate—start your preparation today. Good luck!
Who this course is for:
- Aspiring Programmers and Developers
- Computer Science and IT Students
- Entry-Level IT Professionals
- Career Changers
- Data Analysts and Business Intelligence Professionals
- Automation Engineers and System Administrators
- Professionals Preparing for Python Certifications
- Self-Learners and Enthusiasts
Instructor
EN
Python Developer/AI Enthusiast/Data Scientist/Stockbroker
Enthusiast of new technologies, particularly in the areas of artificial intelligence, the Python language, big data and cloud solutions. Graduate of postgraduate studies at the Polish-Japanese Academy of Information Technology in the field of Computer Science and Big Data specialization. Master's degree graduate in Financial and Actuarial Mathematics at the Faculty of Mathematics and Computer Science at the University of Lodz. Former PhD student at the faculty of mathematics. Since 2015, a licensed Securities Broker with the right to provide investment advisory services (license number 3073). Lecturer at the GPW Foundation, conducting training for investors in the field of technical analysis, behavioral finance, and principles of managing a portfolio of financial instruments.
Founder at e-smartdata
PL
Data Scientist, Securities Broker
Jestem miłośnikiem nowych technologii, szczególnie w obszarze sztucznej inteligencji, języka Python big data oraz rozwiązań chmurowych. Posiadam stopień absolwenta podyplomowych studiów na kierunku Informatyka, specjalizacja Big Data w Polsko-Japońskiej Akademii Technik Komputerowych oraz magistra z Matematyki Finansowej i Aktuarialnej na wydziale Matematyki i Informatyki Uniwersytetu Łódzkiego. Od 2015 roku posiadam licencję Maklera Papierów Wartościowych z uprawnieniami do czynności doradztwa inwestycyjnego (nr 3073). Jestem również wykładowcą w Fundacji GPW prowadzącym szkolenia dla inwestorów z zakresu analizy technicznej, finansów behawioralnych i zasad zarządzania portfelem instrumentów finansowych. Mam doświadczenie w prowadzeniu zajęć dydaktycznych na wyższej uczelni z przedmiotów związanych z rachunkiem prawdopodobieństwa i statystyką. Moje główne obszary zainteresowań to język Python, sztuczna inteligencja, web development oraz rynki finansowe.
Założyciel platformy e-smartdata