Data Science Courses

413 Courses

How Google does Machine Learning en Español

Cómo Google hace Machine Learning en Español ¿Cuáles son las prácticas recomendadas para implementar el aprendizaje automático en Google Cloud? ¿Qué es Vertex AI y cómo se puede utilizar la plataforma para crear, entrenar e implementar rápidamente modelos de aprendizaje automático de AutoML sin escribir una sola línea de código? Google consider.
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provider Coursera
pricing Free Online Course (Audit)
duration 15 hours
sessions On-Demand

Learn Python Programming : Step By Step Guide for Beginners

Learn Python Programming: Step By Step Guide for Beginners Learn Python Programming Language easily in Hindi. Every topic is explained in a very simple way using the Hindi language on Udemy. University: Udemy Categories: Artificial Intelligence Courses, Python Courses, Machine Learning Courses, Data Science Courses
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provider Udemy
pricing Paid Course
duration 7 hours 55 minutes
sessions On-Demand
provider Udemy
pricing Paid Course
duration 3 hours 5 minutes
sessions On-Demand

【世界で55万人が受講】データサイエンティストを目指すあなたへ〜データサイエンス25時間ブートキャンプ〜

【世界で55万人が受講】データサイエンティストを目指すあなたへ〜データサイエンス25時間ブートキャンプ〜 機械学習・ディープラーニング・人工知能に関するビジネス上の課題を、回帰分析・ニューラルネットワーク・K平均法等を使って解いていきます。python、jupyter、numpy、pandas、tensorflow等のスキルも身に付きます。 カテゴリ:人工知能コース, Pythonコース, 機械学.
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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.
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provider Udemy
pricing Paid Course
duration 20 hours 38 minutes
sessions On-Demand

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.
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provider Coursera
pricing Free Online Course (Audit)
duration 15 hours
sessions On-Demand

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.
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provider Coursera
pricing Free Online Course (Audit)
duration 10 hours
sessions On-Demand

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.
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provider Coursera  Specialization
pricing Paid Course
duration 17 weeks, 5 hours a week
provider Udemy
pricing Paid Course
duration 3 hours 53 minutes
sessions On-Demand

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!