PCEP - Certified Entry-Level Python Programmer - Exams
This course is an intensive preparatory guide designed for individuals who are aspiring to earn the Python Institute's PCEP certification. The course is equipped with a plethora of mock exams that accurately emulate the style, structure, and difficulty of the real certification exam, thereby providing learners with an authentic examination experience.
This course covers a broad range of topics, in accordance with the PCEP examination syllabus. These include fundamentals of Python programming, data types, loops, functions, modules, and file operations, among others. The primary focus of the course is to enable learners to solve real-world problems using Python programming.
The mock exams are composed of situational and problem-solving questions, encouraging learners to apply theoretical knowledge to practical scenarios. This method of learning ensures a deep understanding of Python programming concepts and reinforces the ability to apply these concepts effectively.
Each question in the mock exams is accompanied by a comprehensive explanation of the correct answer. This not only provides clarity on the underlying concepts but also aids in identifying areas of weakness for focused improvement.
By taking this course, learners can gauge their readiness for the actual PCEP certification exam, gaining the confidence needed to excel. This course is an excellent resource for anyone aiming to hone their Python programming skills and successfully attain the PCEP certification.
The PCEP (Certified Entry-Level Python Programmer) certification is a credential provided by the Python Institute. It validates the fundamental knowledge and skills required to start a career in Python programming. The certification is designed for individuals who have a basic understanding of programming concepts and are looking to establish a solid foundation in Python.
The PCEP certification demonstrates a candidate's proficiency in basic Python programming concepts, such as data types, variables, loops, conditional statements, functions, and basic input/output operations. It serves as an entry-level certification, providing individuals with a recognized validation of their Python skills and enhancing their credibility as Python programmers.
By obtaining the PCEP certification, individuals can showcase their commitment to learning Python and demonstrate their readiness for more advanced Python programming certifications and career opportunities. It can also serve as a stepping stone towards other Python Institute certifications, such as the PCAP and PCPP certifications for more experienced Python programmers.
Overall, the PCEP certification is an ideal starting point for individuals who are new to Python and want to establish a solid foundation in the language, providing them with the confidence and recognition to pursue a career in Python programming.
duration: 40 or 45 minutes + 5 minutes NDA/tutorial
passing score: 70%
format: single and multiple choice questions, drag & drop, gap fill, sort, code fill, code insertion
languages: English, Spanish
price: about $ 60
Which version of Python is used in the course?
Is it possible to take the practice test more than once?
Certainly, you are allowed to attempt each practice test multiple times. Upon completion of the practice test, your final outcome will be displayed. With every attempt, the sequence of questions and answers will be randomized.
Is there a time restriction for the practice tests?
Indeed, each test comes with a time constraint of 120 seconds for each question.
What score is required?
The target achievement threshold for each practice test is to achieve at least 70% correct answers.
Do the questions have explanations?
Yes, all questions have explanations for each answer.
Am I granted access to my responses?
Absolutely, you have the opportunity to review all the answers you submitted and ascertain which ones were correct and which ones were not.
Are the questions updated regularly?
Indeed, the questions are routinely updated to ensure the best learning experience.
Additional Note: It is strongly recommended that you take these exams multiple times until you consistently score 90% or higher on each test. Take the challenge without hesitation and start your journey today. Good luck!
Who this course is for:
- beginner or novice programmers who want to validate their foundational knowledge and skills in Python programming through the PCEP certification
- students or individuals studying computer science or software engineering who want to assess their understanding of Python programming concepts and prepare for the PCEP certification exam
- professionals in non-programming roles who want to enhance their Python programming skills and demonstrate their competence in Python programming fundamentals
- Python enthusiasts or hobbyists who want to formalize their knowledge of Python programming and gain a recognized certification
- recruiters or hiring managers who want to evaluate the programming skills and competency of job candidates applying for entry-level Python programming roles
- educators or trainers who want to assess the knowledge and progress of their students in Python programming and guide them towards the PCEP certification
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
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.
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