Certified Data Scientist
Description
Certified Data Scientist
The Certified Data Scientist course is a comprehensive certification program designed for aspiring and experienced data professionals who seek to demonstrate their expertise in data science. This rigorous program consists of six in-depth exams, each targeting key competencies essential to a successful data science career. To earn the prestigious Certified Data Scientist title, candidates must successfully pass all six exams, validating their mastery of both foundational and advanced data science concepts.
The course covers a broad spectrum of topics, including data analysis, statistical modeling, machine learning, data visualization, big data technologies, and real-world problem-solving using Python and SQL. Each exam is composed of multiple-choice questions that assess both theoretical understanding and practical application of data science principles.
Every question is accompanied by a clear and concise explanation, enabling learners to understand not only the correct answer but also the reasoning behind it. These detailed rationales serve as an effective learning tool, reinforcing concepts and helping participants close any knowledge gaps.
Whether you're pursuing a new role, seeking professional growth, or aiming to formalize your skills with a recognized certification, this course provides the structure, depth, and challenge needed to reach your goals. Prepare with confidence and take the next step toward becoming a Certified Data Scientist.
Data Scientist: Bridging Data and Decision-Making
A Data Scientist leverages data to solve complex business problems by applying statistical analysis, machine learning, and data visualization techniques. They extract actionable insights from vast datasets, build predictive models, and communicate findings to stakeholders, enabling data-driven strategies and innovation across industries.
Certificate of Completion
If you would like to receive a certificate of completion, please report directly to instructor after successfully passing all exams. This certificate serves as a recognition of your achievement and mastery of the course material.
Can I retake the exams?
Yes, you're welcome to retake each exam as many times as you'd like. After completing an exam, you'll receive your final score. Each time you retake the exam, the questions and answer choices will be shuffled for a new experience.
Is there a time limit for the exams?
Yes, each exam has a time limit.
What score do I need to pass?
To pass each exam, you need to score at least 70%.
Are explanations provided for the questions?
Yes, detailed explanations are provided for every question to help you understand the material better.
Can I review my answers after the test?
Absolutely! You can review all your answers, including which ones were correct or incorrect.
Are the questions updated frequently?
Yes, the questions are regularly updated to ensure you're getting the most relevant and current information.
Who this course is for:
- Data Analysts Transitioning to Data Science
- Aspiring Data Scientists
- Machine Learning Engineers and AI Practitioners
- Software Developers and Engineers
- Business Intelligence Professionals
- Statisticians and Mathematicians
- IT and Database Professionals
- Academic Researchers and PhD Graduates
- Consultants and Technical Advisors
- Business and Product Managers
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
Python Developer/AI Enthusiast/Data Scientist/Stockbroker
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