Data Science Courses

413 Courses

Udemy

Clustering & Classification With Machine Learning In Python

Udemy

Paid Course

6 hours

On-Demand

Udemy

Deep Learning Mastery 2024

Deep Learning Mastery 2024 Join the "Deep Learning Mastery 2024" course and master the complete life cycle of a deep learning project. This comprehensive course will guide you through implementing various neural networks using TensorFlow and Keras. Provider: Udemy Categories: Python Courses Machine Learning Courses Deep Learning Courses.

Udemy

Paid Course

4 hours 16 minutes

On-Demand

Udemy

Complete Data Science BootCamp 2024

Complete Data Science BootCamp 2024 - Udemy Join the Complete Data Science BootCamp 2024 by Udemy and dive deep into the world of Data Science. This comprehensive program covers Machine Learning, Deep Learning, and practical Data Science skills. Throughout the course, you'll engage in building 5 unique projects that solidify your understandi.

Udemy

Paid Course

7 hours 37 minutes

On-Demand

OpenClassrooms

Exploitez des données textuelles

Bienvenue dans ce cours de traitement du langage naturel ! L’objectif de ce cours est de comprendre les méthodes qui permettent de transformer le texte en features exploitables par des algorithmes de machine learning classiques, et les architectures et modèles qui correspondent le mieux à ce type de données. En l’occurence un ensemble de documen.

OpenClassrooms

Free Online Course

12 hours

On-Demand

Coursera

AI For Everyone （すべての人のためのAIリテラシー講座）

AI For Everyone （すべての人のためのAIリテラシー講座） AIはエンジニアだけのものではなく、今や社会人の基本リテラシーといえます。本コースは、AIの基礎を学びたい方、今の組織をAIを使いこなせる組織へと変革させたい方、そんなすべての方々に、理系文系問わず、肩書きや職種問わず、受講いただけるコースです。本コースでは、次のことを学習していただきます：.

Coursera

Free Online Course (Audit)

7-8 hours

On-Demand

Coursera

L’IA pour tous

L’IA pour tous L’IA n’est pas réservée aux ingénieurs. Si vous souhaitez optimiser les compétences de votre organisation en matière d'IA, ce cours est recommandé pour tout votre personnel, notamment pour ceux des départements non techniques. Ce cours vous permettra de découvrir : La signification de la terminologie courante de l’IA, y comp.

Coursera

Free Online Course (Audit)

6-7 hours

On-Demand

Coursera

KI für alle

KI für alle Künstliche Intelligenz ist nicht nur für Ingenieure gedacht. Wenn Sie Ihre Organisation dabei unterstützen möchten, KI effizienter zu nutzen, ist dieser Kurs genau das Richtige – speziell für Ihre nicht-technischen Kollegen. In diesem Kurs lernen Sie: Die Bedeutung der gängigen KI-Terminologie, einschließlich neuronaler Netze, ma.

Coursera

Free Online Course (Audit)

6-7 hours

On-Demand

Udemy

OpenCV ile Görüntü İşleme 2/3 (Python)

OpenCV ile Görüntü İşleme 2/3 (Python) Python Programlama Dili Kullanarak OpenCV ile Görüntü İşleme Dersi | Başlangıçtan İleri Düzeye | 2.Video Eğitimidir. University: Provider: Udemy Categories: Artificial Intelligence Courses, Python Courses, Computer Vision Courses, Data Science Courses, OpenCV Courses, Object Detection Courses

Udemy

Free Online Course

2-3 hours

On-Demand

Udemy

OpenCV ile Görüntü İşleme 1/3 (Python)

OpenCV ile Görüntü İşleme 1/3 (Python) | Udemy Python Programlama Dili kullanarak OpenCV ile Görüntü İşleme dersi. Başlangıçtan ileri düzeye 1. video eğitimidir. University: Udemy. Bu kurs ile görüntü işleme dünyasına adım atın ve OpenCV ile yeteneklerinizi geliştirin. Kategori: Yapay Zeka Kursları, Python Kursları, Bilgisayarla Görme Kursları,.

Udemy

Free Online Course

1-2 hours

On-Demand

Udemy

Kaggle: Veri Bilimi ve Makine Öğrenimi Topluluğu

Udemy

Free Online Course

1-2 hours

On-Demand

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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:

There is a desire to learn a promising and highly paid profession.

There is experience in a related industry, but you want to move to a new, more demanded direction. Data Scientists are often programmers, marketers, financiers and business analysts.

In professional activities or scientific research, it is necessary to apply innovative technologies: big data, neural networks, artificial intelligence.

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?

Classes are taught by experienced programmers and analysts who explain complex material, such as probability theory or mathematical analysis in an easy-to-understand way with examples.

Recordings of all lessons are stored in your personal account. You will not have gaps in your knowledge, because webinars can be watched repeatedly at any time. The videos will stay with you forever.

After each topic there is a practical task. The tasks gradually become more complex, and by the end of the course you will build a neural network or recommendation system. That is, you will have projects ready for your portfolio.

If you cannot cope with a question on your own, the tutor will help you. He will point out mistakes and give recommendations.

Many schools help with finding a job for free, and also invite students for internships, so you will have the opportunity to gain experience in a real project.

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:

Study mathematics and linear algebra. If you have knowledge within the school curriculum, you can start with books that explain the basic concepts in simple language: derivative, differential, matrix and so on.

Any analytics uses mathematical statistics and probability theory - these are the next big topics you should familiarise yourself with.

Working in Data Science is impossible without knowledge of programming languages. For a beginner, Python is suitable - it is relatively simple, flexible and feature-rich.

The next step is to learn machine learning algorithms: "with a teacher", "without a teacher", "with reinforcement". You need to learn how to collect data for analysis and visualise it.

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!

Data Science Courses

Clustering & Classification With Machine Learning In Python

Deep Learning Mastery 2024

Complete Data Science BootCamp 2024

Exploitez des données textuelles

AI For Everyone （すべての人のためのAIリテラシー講座）

L’IA pour tous

KI für alle

OpenCV ile Görüntü İşleme 2/3 (Python)

OpenCV ile Görüntü İşleme 1/3 (Python)

Kaggle: Veri Bilimi ve Makine Öğrenimi Topluluğu

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

Learning Paths for Career Advancement

Course Benefits and Features

How to Enroll in Data Science and AI Courses?