Data Science Courses

344 Courses

Udemy

Time Series Analysis Real World Projects in Python

Udemy

Paid Course

3 hours 53 minutes

On-Demand

Udemy

Full stack web development and AI with Python (Django)

Full Stack Web Development and AI with Python (Django) | Udemy

Udemy

Paid Course

40 hours

On-Demand

Deep Learning with TensorFlow 2.0

Deep Learning with TensorFlow 2.0 Embark on a transformative journey into the realm of deep learning by leveraging TensorFlow 2.0. This course is designed to equip you with the skills needed to build cutting-edge deep learning algorithms, dive deep into the intricacies of neural networks, and apply this knowledge effectivel.

Data Engineering und Data Science – Klarheit in den Schlagwort-Dschungel

Data Engineering und Data Science – Klarheit in den Schlagwort-Dschungel Die Schlagwörter Künstliche Intelligenz, Data Science, Data Engineering, und Big Data dominieren seit einigen Jahren nicht nur die IT-Schlagzeilen. In unserem Kurs wollen wir diese Wörter mit grundlegendem Inhalt füllen und die typischen Arbeitsschritte eines Data Scientists.

Data Science - Master Analytics and become Data Scientist

Title: Data Science - Master Analytics and Become a Data Scientist Description: Learn Python, RLang, Neural Networks, ANN, Deep Learning - Tools, software like KNIME, Spark, SciPy, Tableau, and others. University: Provider: Categories: Python Courses, Deep Learning Courses, Neural Networks Courses, Data Science Courses, SciPy Courses, K.

Udemy

Tableau A-Z: Hands-On Tableau Training for Data Science

Tableau A-Z: Hands-On Tableau Training for Data Science Master Tableau for data science with comprehensive, hands-on training. This course offers step-by-step guidance through real-life data analytics exercises and quizzes to ensure you learn by doing. Categories include Data Analysis, Business Intelligence, Data Sc.

Udemy

Paid Course

8 hours 42 minutes

On-Demand

Pluralsight

Data Science: Executive Briefing

Data Science: Executive Briefing In this Executive Briefing, you will learn what data science is, why it is important for you and your business, and how to get started becoming a data-driven organization. Data science is revolutionizing the world around us, transforming entire industries across almost every sector of our economy. However, many t.

Pluralsight

Free Trial Available

On-Demand

Udemy

Python, Guía de inicio

Python, Guía de inicio | Udemy Domina los fundamentos de Python con nuestro curso "Python, Guía de inicio" en Udemy. Este curso es ideal para quienes desean crear aplicaciones en diversos campos como: Ciencia de datos Inteligencia Artificial (IA) Robótica Desarrollo web BigData Explora cómo Python puede convertirse en tu herramienta.

Udemy

Free Online Course

1 hour 57 minutes

On-Demand

Udemy

Python Dersleri: Sıfırdan İleri Seviyeye Temel Eğitim

Python Dersleri: Sıfırdan İleri Seviyeye Temel Eğitim Python Dersleri: Sıfırdan İleri Seviyeye Temel Eğitim Sıfırdan başlayarak, veri bilimi ve yapay zeka gibi birçok ileri düzey alan için kendinize güçlü bir temel oluşturacaksınız. Üniversite: Udemy Yapay Zeka Kursları Python Kursları Makine Öğrenmesi Kursları Veri Bilimi Kursları

Udemy

Paid Course

16 hours 7 minutes

On-Demand

Learn Python3 Programming

Master the core concepts of Python3 programming tailored for Software Testers, Developers, Data Scientists, and Machine Learning enthusiasts. Dive into crucial topics and enhance your proficiency in Python to effectively tackle real-world challenges in various tech domains. Categories: Artificial Intelligence Courses, Python Courses, Machine L.

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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

Time Series Analysis Real World Projects in Python

Full stack web development and AI with Python (Django)

Deep Learning with TensorFlow 2.0

Data Engineering und Data Science – Klarheit in den Schlagwort-Dschungel

Data Science - Master Analytics and become Data Scientist

Tableau A-Z: Hands-On Tableau Training for Data Science

Data Science: Executive Briefing

Python, Guía de inicio

Python Dersleri: Sıfırdan İleri Seviyeye Temel Eğitim

Learn Python3 Programming

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?