Data Science Courses

909 Courses

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Desarrollo de soluciones de machine learning (Español LATAM) | Developing Machine Learning Solutions (LATAM Spanish)

En este curso, aprenderá acerca del ciclo de vida del machine learning y de cómo utilizar los servicios de AWS en cada etapa. Conocerá las diversas fuentes de modelos de machine learning y aprenderá técnicas para evaluar su rendimiento. También comprenderá la importancia de las operaciones de machine learning (MLOps) para optimizar el desarrollo.
provider AWS Skill Builder
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Classification - Fundamentals & Practical Applications

Classification problems are a frequent challenge in data science. This course empowers you to understand and apply key algorithms to predict and enhance business decision-making. Suited for those aspiring to be data scientists or with a focus on analytics and business intelligence, this course provides a deep dive into classification problems,.
provider Coursera
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Full Stack Web Development Masterclass: Bootcamp

Join the "Full Stack Web Development Masterclass: Bootcamp" on Udemy and transform your coding skills from zero to hero. Dive into the world of complete development as you master JavaScript, Python, and MySQL databases. This comprehensive course is tailored for aspiring developers and seasoned coders aiming to expand their proficiency in ful.
provider Udemy
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はじめてのPythonプログラミング入門

はじめてのPythonプログラミング入門で、生成AIや機械学習、データサイエンス、そしてウェブ制作に役立つ基本的なプログラミングスキルを身につけましょう。Udemyが提供するこのコースでは、初心者から上級者まで幅広く対応し、最新の技術を用いた有用な知識を獲得できます。Pythonを活用して、あなたのアイデアを実現するための第一歩を踏み出してください。
provider Udemy
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Python Fundamentals

Python is the leading programming language crucial for data science, making it essential for kick-starting or advancing your career in the field. This course covers the core skills required to write and execute Python code effectively. Gain an understanding of basic Python concepts to set a strong foundation for data science projects. Learn to h.
provider Coursera
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Yorumlanabilirlik ve Şeffaflık

Bu kursta, yapay zekanın yorumlanabilirliği ve şeffaflığı konularında temel bilgiler sunulmaktadır. Kurs, geliştiriciler ve mühendisler için yapay zeka sistemlerinde şeffaflığın önemine odaklanmaktadır. Eğitim boyunca, veri ve yapay zeka modellerinde yorumlanabilirliğin ve şeffaflığın sağlanmasına yardımcı olacak pratik yöntemler ve araçlar tanı.
provider Coursera
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新城市科学

纵观城市历史,科技发展对城市变化产生了重要影响,而这其中有代表性的数次工业革命更是引发了城市科学的巨大变革。新城市科学,是在第四次工业革命一系列颠覆性技术对城市和科学研究方法影响下的一门“新科学”。它既是新的城市科学,即新数据、新方法和新技术研究城市,也是新城市的科学,即研究对象是受到颠覆性技术影响的城市规律及内在机理。同时也将展示未来城市空间原.
provider XuetangX
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清华大学计算机科学与技术系六十周年系庆学术报告(四)大数据

作为清华大学计算机系成立六十周年的庆祝活动之一,该系列学术报告旨在通过邀请国内外学术界与产业界的知名学者和专家,进行专题演讲,介绍国际前沿的研究及产业动态,同时分享他们的战略思考与成果。在交流中找出不足,明确方向,以推动清华大学计算机学科的进一步发展。 六十周年系庆学术报告是一次学术盛宴,参与的演讲者均为各领域的大专家,包括图灵奖得主,以及中外国.
provider XuetangX
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AI for Data Analytics

Unlock the potential of artificial intelligence in data analytics with our comprehensive course. Designed for individuals aiming to improve their data analysis capabilities, this course provides valuable insights into AI tools for collecting, preprocessing, analyzing, and visualizing data efficiently. Regardless of your coding proficiency, you.
provider Noble Desktop
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Data Analytics Certificate

Embark on a journey to enhance your career prospects with the Data Analytics Certificate from Noble Desktop. This immersive course equips you with the pivotal skills needed to thrive as a Data Analyst or Business Analyst. Delve into the realms of data analysis, visualization, and statistical techniques through a curriculum designed to prioritize.
provider Noble Desktop

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!