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Data Science Courses

506 Courses

California Institute of Technology Udemy

Python Mastery: 100 Days, 100 Projects

Join the 'Python Mastery: 100 Days, 100 Projects' program provided by Udemy and enhance your Python programming expertise. This course is designed for learners eager to master Python by engaging in a practical, project-based approach. Over 100 days, you'll develop 100 projects that span from foundational concepts to advanced Python skills. Cate.
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California Institute of Technology Harvard University

Learning Python for Data Science

Data science is an ever-evolving field, driven by advances in technologies and algorithms. To excel in this domain, staying updated with cutting-edge programming languages like Python is essential. This Professional Certificate in Learning Python for Data Science from Harvard University comprises three courses emphasizing hands-on practice. Dev.
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California Institute of Technology Delft University of Technology

Data Skills for Artificial Intelligence

Data Skills for Artificial Intelligence Artificial Intelligence and Machine Learning have become integral techniques for most services and products, with data being central to robust and successful AI/ML applications. Without solid data management, AI projects frequently underperform or even fail. This series of MOOCs provides unique insights and.
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California Institute of Technology Harvard University

Python for Data Science and Machine Learning

Have you considered a career in data science and machine learning but didn't know where to begin? The demand for professionals in machine learning (ML) and artificial intelligence (AI) is growing exponentially. With the ever-evolving data science landscape, the need for skilled data science analysts and engineers, especially those proficient in P.
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California Institute of Technology Harvard University

Data Science and Machine Learning

Interested in a career in data science and machine learning but unsure where to begin? The demand for professionals skilled in machine learning (ML) and artificial intelligence (AI) is soaring, driven by an ever-evolving data science landscape. As machine learning tools become more widely available, companies are increasingly adopting them, fueling.
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California Institute of Technology edX

Introduction to AI

Are you curious about how artificial intelligence (AI) really works? Wondering which models power these systems, and how they impact society and the environment? Presented by engineers from Arm, this course offers a comprehensive introduction to AI, machine learning, and data science—shedding light on their historical evolution, current capabilitie.
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California Institute of Technology Tecnológico de Monterrey

Inteligencia Artificial y Robótica

La robótica y la inteligencia artificial son factores clave para el éxito y permanencia en el mercado de las diferentes industrias, haciendo de la automatización industrial una realidad. Según el Foro Económico Mundial, roles como Especialistas en Aprendizaje de Máquina, Científicos de Datos o Expertos en Inteligencia Artificial, que demandan ha.
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California Institute of Technology edX

Inteligencia artificial aplicada

La Inteligencia Artificial (IA) continúa transformando el mundo en que vivimos. Como tal, es imprescindible que tanto los desarrolladores como los consultores tecnológicos entiendan la inteligencia artificial y posean las habilidades para crear aplicaciones basadas en inteligencia artificial para ser competitivos en su campo. Este programa está.
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California Institute of Technology edX

Essential Technologies for Business

In today’s world, businesses can only thrive by embracing core technologies such as cloud computing, artificial intelligence, and data science. These tools are pivotal in driving growth and innovation, ensuring businesses remain competitive and future-ready. This program offers foundational knowledge in these critical areas, exploring their.
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California Institute of Technology edX

Generative AI for Data Scientists

Are you eager to elevate your data science skills with generative AI? Tailored for data scientists, analysts, architects, engineers, and data enthusiasts, this program equips you with the essential knowledge to integrate gen AI into your work efficiently. Start by building a strong foundation in generative AI's real-world applications. Underst.
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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!