Advanced Python Data Science Learning Path

Statistical Learning

Complete natural language processing specialization covering transformers, attention mechanisms, and modern NLP techniques.

Introduction to Python programming for data analysis. Learn pandas, numpy, and visualization libraries for data science.

Complete data science workflow specialization covering data cleaning, analysis, visualization, and machine learning applications.

Offered by IBM, this course provides a hands-on approach to statistical analysis using Python. It covers descriptive statistics, probability distributions, hypothesis testing, and regression analysis.

This specialization from Johns Hopkins University covers advanced statistical concepts, including mathematical statistics, regression models, and statistical inference, aimed at aspiring data scientists.

This specialization covers the foundational concepts of data science, including data wrangling and visualization as part of the exploratory data analysis process.

This course focuses on the data preparation phase of machine learning projects, including techniques for cleaning and transforming data using Python.

Python for Machine Learning & Data Science Masterclass

University of Michigan Applied Data Science with Python

Introduction to Data Science Specialization

Python for Data Science and Machine Learning Bootcamp

Introduction to Data Science with Python

Comprehensive ML course covering regression, classification, clustering, deep learning, NLP, reinforcement learning.

Python for Data Analysis and Visualization

SQL for Data Science and Machine Learning

Hi there,Welcome to "Generative AI & ChatGPT Mastery for Data Science and Python" course.Master Generative AI, ChatGPT and Prompt Engineering for Data Science and Python from scratch with hands-on projects Artificial Intelligence (AI) is transforming the way we interact with technology, and mastering AI tools has become essential for anyone looking to stay ahead in the digital age. In today's data-driven world, the ability to analyze data, draw meaningful insights, and apply machine learning algorithms is more crucial than ever. This course is designed to guide you through every step of that journey, from the basics of Exploratory Data Analysis (EDA) to mastering advanced machine learning algorithms, all while leveraging the power of ChatGPT-4o.Data science application is an in-demand skill in many industries worldwide — including finance, transportation, education, manufacturing, human resources, and banking. Explore data science courses with Python, statistics, machine learning, and more to grow your knowledge. Get data science training if you’re into research, statistics, and analytics.Machine learning describes systems that make predictions using a model trained on real-world data. For example, let's say we want to build a system that can identify if a cat is in a picture. We first assemble many pictures to train our machine learning model. During this training phase, we feed pictures into the model, along with information about whether they contain a cat. While training, the model learns patterns in the images that are the most closely associated with cats. This model can then use the patterns learned during training to predict whether the new images that it's fed contain a cat.A machine learning course teach

In today's data-driven world, the ability to harness and interpret data is not just a valuable skill but a crucial advantage. Whether you're an aspiring data scientist, a seasoned professional looking to expand your skill set, or an entrepreneur aiming to leverage data for strategic decisions, our comprehensive course on data science offers a transformative learning experience.Course Overview Our course begins with a foundational exploration of data science, introducing you to its principles and importance in various industries. You'll delve into the distinctions between data science, data engineering, and data analysis, gaining a clear understanding of their respective roles and applications. Through real-world case studies and examples, you'll discover how data science drives innovation and impacts decision-making processes across different sectors.Essential Tools and Technologies To equip you with the tools needed for effective data analysis, the course covers essential programming languages such as Python and R. Whether you're manipulating data with Pandas, performing numerical operations with Num Py, or creating insightful visualizations with Matplotlib and Seaborn, you'll develop a versatile skill set that forms the backbone of data science projects.Practical Skills DevelopmentA significant focus of the course is hands-on learning. From introductory SQL for data querying to advanced techniques in web scraping for data retrieval, you'll gain practical experience in gathering, cleaning, and analyzing data from diverse sources. Through interactive exercises and projects, you'll hone your ability to transform raw data into actionable insights that drive business decisions.Environment Setup and Best Practices Navigating the data science environment can be daunting, especially for beginners. That's why we guide you through the setup of Python and Jupyter Notebook on both Windows and macOS, ensuring you're equipped with the right tools from the start. You'll l

Il s'agit du cours en ligne le plus complet pour apprendre Python, la Data Science (science des données) et le Machine Learning (apprentissage automatique). Rejoignez-nous dès maintenant pour apprendre et maîtriser ces sujets !Que contient ce cours ?Bienvenue dans le cours le plus complet pour apprendre en ligne la Data Science et le Machine Learning ! Cette Master Class a été conçue pour mettre en place ce qui semble être la meilleure façon de passer de zéro à héros pour la Data Science et le Machine Learning avec Python !Ce cours est conçu pour une personne qui connaît déjà un peu le langage Python et qui est prêt à s'immerger en profondeur dans l'utilisation de ces compétences Python pour la Data Science et le Machine Learning. Le salaire de départ typique d'un data scientist peut dépasser aisément les 100 000 euros annuel, et nous avons créé ce cours pour aider à guider les apprenants vers l'apprentissage d'un ensemble de compétences qui les rendront extrêmement intéressants (et attractifs !) dans le monde du travail actuel.Nous couvrirons tout ce que vous devez savoir sur la stack tech (compétences techniques) complète de Data Science et Machine Learning requise dans les meilleures entreprises du monde. Nos étudiants ont obtenu des emplois chez Mc Kinsey, Facebook, Amazon, Google, Apple, Asana et d'autres grandes entreprises technologiques ! Nous avons structuré le cours en nous appuyant sur notre expérience de l'enseignement en ligne (et en présentiel) afin de proposer une approche claire et structurée.&nbsp;Cela vous guidera pour comprendre non seulement comment utiliser les bibliothèques populaires de Data Science et Machine Learning, mais aussi pourquoi et quand nous les utilisons. Ce cours est un équilibre parfait entre les études de cas pratiques issues du monde réel et la théorie mathématique qui se cache derrière les algorithmes de Machine Learning <strong