Python Data Science with NumPy: Over 100 Exercises
What you'll learn
- solve over 100 exercises in NumPy
- deal with real programming problems in data science
- work with documentation and Stack Overflow
- guaranteed instructor support
Requirements
- Completion of all courses in the Python Developer learning path
- Completion of all courses in the Data Scientist learning path
- Basic knowledge of NumPy library
Description
The course "Python Data Science with NumPy: Over 100 Exercises" is a practical, exercise-oriented program aimed at individuals who want to strengthen their Python data science skills, with a particular focus on the powerful NumPy library. It caters to learners eager to dive deep into the functionalities that NumPy offers for handling numerical data efficiently.
Each section of the course contains a set of carefully curated exercises designed to consolidate the learners' understanding of each concept. Participants will get to tackle real-life problems that simulate challenges faced by data scientists in their everyday roles. Each exercise is followed by a detailed solution, helping students understand not just the 'how' but also the 'why' of each solution.
The "Python Data Science with NumPy: Over 100 Exercises" course is suited for individuals at various stages of their data science journey - from beginners just starting out, to more experienced data scientists looking to refresh their knowledge or gain more practice working with NumPy. The primary prerequisite is a basic understanding of Python programming.
NumPy - Unleash the Power of Numerical Python!
NumPy, short for Numerical Python, is a fundamental library for scientific computing in Python. It provides support for arrays, matrices, and a host of mathematical functions to operate on these data structures. This course is structured into various sections, each targeting a specific feature of the NumPy library, including array creation, indexing, slicing, and manipulation, along with mathematical and statistical functions.
Who this course is for:
- Aspiring Data Scientists
- Python Developers Expanding into Data Analytics
- Data Analysts and Business Intelligence Professionals
- Machine Learning Enthusiasts
- Students in Computer Science, Engineering, or Data Science Programs
- Professionals Preparing for Technical Interviews
- Researchers and Academics in Scientific Domains
- Financial Analysts and Quants
- Self-Taught Programmers and Career Changers
Instructors
- 4.4 Instructor Rating
- 11,664 Reviews
- 436,363 Students
- 161 Courses
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
- 4.3 Instructor Rating
- 896 Reviews
- 109,047 Students
- 66 Courses
========== ENG==========
Hello, my name is Tomasz Krakowiak and I am an experienced instructor who teaches C++ language, interesting AWS Cloud, and Google Cloud technologies.
I have a passion for teaching and sharing my knowledge with others, and I believe that anyone can learn to code with the right guidance and resources. That's why I've created a content that offers comprehensive courses on C++, AWS Cloud, and Google Cloud technologies.
My approach to teaching is both informative and engaging. I believe that students learn best by doing, so I provide practical examples and exercises to help them develop their skills and apply what they've learned to real-world applications.
========== PL ==========
Witam, nazywam się Tomasz Krakowiak i jestem doświadczonym instruktorem, który uczy języka C++, ciekawych technologii AWS Cloud oraz Google Cloud.
Pasjonuje mnie nauczanie i dzielenie się swoją wiedzą z innymi i wierzę, że każdy może nauczyć się programować, mając odpowiednie wskazówki i zasoby. Dlatego stworzyłem treści oferujące kompleksowe kursy z technologii C++, AWS Cloud i Google Cloud.
Moje podejście do nauczania jest zarówno pouczające, jak i angażujące. Wierzę, że uczniowie najlepiej uczą się przez działanie, dlatego przedstawiam praktyczne przykłady i ćwiczenia, które pomogą im rozwinąć umiejętności i zastosować to, czego się nauczyli, w rzeczywistych zastosowaniach.
- 3.8 Instructor Rating
- 464 Reviews
- 122,436 Students
- 82 Courses
I specialize in creating high-quality mock exams and practice tests to help you pass IT & AI certification exams with confidence. My goal is to provide you with realistic, exam-like questions and detailed explanations so you can master key concepts and be fully prepared on exam day. Each test is designed to simulate real exam conditions, helping you build the knowledge and test-taking skills needed for success.