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Data Science Courses

344 Courses

California Institute of Technology

PyTorch for Deep Learning

PyTorch for Deep Learning Learn PyTorch and become a proficient Deep Learning Engineer. This PyTorch course is a step-by-step guide designed to help you develop your own deep learning models. The curriculum includes essential topics such as Computer Vision, Neural Networks, and much more.
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California Institute of Technology Coursera

Ciencia de Datos Aplicada al Marketing

Ciencia de Datos Aplicada al Marketing - Coursera Históricamente, las matemáticas nacieron por la necesidad de entender nuestro entorno y tomar decisiones. La ciencia de datos se enfoca en el procesamiento de datos: analizar, explorar e interpretar conjuntos de datos, proporcionando una visión completa del presente. La ciencia de datos no es e.
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California Institute of Technology Coursera

Generative AI for Data Science with Copilot

Generative AI for Data Science with Copilot This course provides a comprehensive introduction to Generative AI in data science. You'll explore the foundational concepts of generative AI, including GANs, VAEs, and Transformers, and discover how Microsoft Copilot leverages these models to streamline data science workflows. You'll gain hands-on exp.
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California Institute of Technology Coursera

Microsoft Copilot for Data Science

Microsoft Copilot for Data Science According to a 2023 Gartner study, 67% of mature organizations are creating new roles for GenAI, and 87% of these organizations have a dedicated AI team. Copilot for Data Science is tailored to help existing and aspiring data scientists prepare for these roles through a robust specialization designed to integrate.
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California Institute of Technology AWS Skill Builder

Developing Machine Learning Solutions (Vietnamese)

Developing Machine Learning Solutions (Vietnamese) Trong khóa học về máy học này, bạn sẽ tìm hiểu về vòng đời của máy học và cách sử dụng các dịch vụ AWS ở từng giai đoạn. Ngoài ra, bạn sẽ khám phá về các nguồn đa dạng cho các mô hình máy học cũng như tìm hiểu các kỹ thuật đánh giá hiệu suất của mô hình. Bạn cũng sẽ hiểu được tầm quan trọng của c.
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California Institute of Technology AWS Skill Builder

Conjunto de preguntas de prueba oficial de preparación para el examen: AWS Certified AI Practitioner (AIF-C01 - Português) | Exam Prep Official Practice Question Set: AWS Certified AI Practitioner (AIF-C01 - Portuguese)

Conjunto de perguntas de prueba oficial de preparación para el examen: AWS Certified AI Practitioner (AIF-C01 - Português) | Exam Prep Official Practice Question Set: AWS Certified AI Practitioner (AIF-C01 - Portuguese) O Conjunto de preguntas de prueba oficial de preparação para el examen: AWS Certified AI Practitioner (AIF-C01 - Português (Bra.
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California Institute of Technology edX

Inteligencia Artificial en la Logística

Inteligencia Artificial en la Logística Este curso integral está diseñado para profesionales y entusiastas de la logística que desean profundizar en el uso y aplicación de la inteligencia artificial (IA) en sus operaciones diarias. A lo largo de cuatro módulos detallados, los participantes explorarán cómo la IA está revoluciona.
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California Institute of Technology Udacity

Applying Data Science to Product Management

Applying Data Science to Product Management All products developed for today's market are data products—running on data-derived insights to provide the right experience, to the right user, at the right time. Companies like Amazon, Netflix, Google, and more are able to provide personalized and engaging experiences to users because they utilize.
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California Institute of Technology AWS Skill Builder

Developing Machine Learning Solutions (Indonesian)

Developing Machine Learning Solutions (Indonesian) Dalam kursus machine learning ini, Anda akan mempelajari tentang siklus hidup machine learning, dan cara menggunakan layanan AWS di setiap tahap. Selain itu, Anda akan menemukan beragam sumber untuk model machine learning dan mempelajari teknik untuk mengevaluasi kinerjanya. Anda juga akan memah.
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California Institute of Technology LinkedIn Learning

Artificial Intelligence Foundations: Thinking Machines

Explore the foundational principles of Artificial Intelligence (AI) in "Artificial Intelligence Foundations: Thinking Machines", an insightful course offered by LinkedIn Learning. This comprehensive course delves into the critical concepts underlying AI such as distinctions between strong and weak AI, various approaches including machine learning,.
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provider LinkedIn Learning
pricing Free Trial Available
duration 1-2 hours
sessions On-Demand

How to train in Data Science and become one from scratch?

A Data Scientist can find a job in any industry, from retail sales to nuclear physics. That is why such a specialist is sometimes called a master of big data. Data Scientist works at the intersection of 3 areas of knowledge: programming, statistics and machine learning.

Learning Paths for Career Advancement

Data Scientist works with company data, analyses it, looks for potential dependencies, draws conclusions on this basis and, if necessary, builds visualisations. To solve such tasks, the specialist uses mathematical algorithms, development tools and special programmes. A Data Scientist understands how to build a forecast and helps to make the right decisions.

This specialist uses Data Science methods to process large amounts of information. He builds and tests models of data behaviour. This is how he finds patterns in them and predicts future values. For example, knowing everything about the demand for a product earlier, Data Scientist helps the company to make a forecast about sales in the near future. All models are built thanks to machine learning algorithms.

Usually Data Scientists become for the following reasons:

To work in Data Science you need find best data science and ai courses for improving programming skills and knowledge of maths beyond the school curriculum.

Course Benefits and Features

Why choose online artificial intelligence and data science courses?

Excellent knowledge of maths, statistics, programming languages, English, as well as creativity, communication and critical thinking: employers are willing to pay more for specialists with this set of skills.

How to Enroll in Data Science and AI Courses?

Let's tell you in detail what steps you need to go through to become a Data Science specialist:

Having sorted out the theory, move on to practice. For example, you can look for an assistant position or an internship in large IT companies!