Data Science Courses

413 Courses

Udemy

Pomodoro ile 1 Haftada Python Ögrenin + 100 Soru-Çözüm

Pomodoro ile 1 Haftada Python Öğrenin + 100 Soru-Çözüm Kısa sürede Python'un tüm detaylarını öğrenebilirsiniz. Ayrıca bilginizi ödev, quiz ve kodlama egzersizleri ile pekiştirin. Bu kurs, Python bilgilerinizi 100 soru-çözüm ile test etme ve geliştirme fırsatı sunar. Sağlayıcı: Udemy Kategori: Robotik Kursları, Yapay Zeka Kursları, Python Kurslar.

Udemy

Paid Course

20 hours 38 minutes

On-Demand

University of Virginia

Product Analytics and AI

Product Analytics and AI - University of Virginia | Coursera Few capabilities focus agile like a strong analytics program. Such a program determines where a team should focus from one agile iteration (sprint) to the next. Successful analytics are rarely hard to understand and are often startling in their clarity. In this course, developed at th.

Coursera

Free Online Course (Audit)

15 hours

On-Demand

Coursera

DataOps Methodology

DataOps Methodology DataOps, as defined by Gartner, is a collaborative data management practice focused on enhancing communication, integration, and automation of data flows between data managers and consumers across an organization. Much like DevOps, DataOps is not a rigid dogma but a principles-based practice that influences how data can be op.

Coursera

Free Online Course (Audit)

10 hours

On-Demand

Coursera  Specialization

Advanced Data Science with IBM

Advanced Data Science with IBM As a Coursera certified specialization completer, you will demonstrate a deep understanding of massive parallel data processing, data exploration and visualization, along with advanced machine learning and deep learning. You will grasp the mathematical foundations behind all machine learning and deep learning algori.

Coursera  Specialization

Paid Course

17 weeks, 5 hours a week

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

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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

Pomodoro ile 1 Haftada Python Ögrenin + 100 Soru-Çözüm

Product Analytics and AI

DataOps Methodology

Advanced Data Science with IBM

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

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?