Data Science Courses

413 Courses

Stanford Seminar - When DNA Meets AI

Stanford Seminar - When DNA Meets AI Join the Stanford Seminar on "When DNA Meets AI" to delve into the intriguing intersection of DNA and artificial intelligence. This course covers critical topics including ALS, coding, MD/PhD programs, challenges within the pharmaceutical industry, the advantages of data utilization, brain m.

YouTube

Free Online Course

35 minutes

On-Demand

Universidad de los Andes

Herramientas para el Análisis de Big Data

Herramientas para el Análisis de Big Data | Universidad de los Andes | edX Cuando se trata de herramientas para el análisis de datos, siempre tenemos las siguientes preguntas: ¿Cuál es la diferencia entre tantas herramientas que existen? ¿Cuál es la mejor? ¿Cuál debería aprender? Las funciones que realizan los científicos de datos incluyen la id.

edX

Free Online Course (Audit)

4 weeks, 3-5 hours a week

On-Demand

OpenClassrooms

Utilisez des modèles supervisés non linéaires

Dans le cours Entraînez un modèle prédictif linéaire, vous avez appris à construire des modèles linéaires de classification binaire ou multi-classe et de régression. Mais ceux-ci peuvent ne pas être adaptés à la nature de vos données. Dans ce cours, vous apprendrez à entraîner des modèles supervisés non-linéaires sur vos données. Vous comprendre.

OpenClassrooms

Free Online Course

12 hours

On-Demand

DataCamp

Data Science for Business

Data Science for Business Learn about data science for managers and businesses and how to use data to strengthen your organization. What is data science and how can you use it to enhance your organization? This course will teach you about the skills you need on your data team and how to structure that team to meet your organization's unique ne.

DataCamp

Free Trial Available

2 hours

On-Demand

Udemy

Python Development & Data Science: Variables and Data Types

Python Development & Data Science: Variables and Data Types Course - MTF Institute | Udemy Python Development & Data Science: Variables and Data Types Course Dive into the world of Python Development and Data Science with the comprehensive course on Variables and Data Types, brought to you by MTF Institute, available on Ude.

Udemy

Paid Course

1 hour 30 minutes

On-Demand

Udemy

16+ Saat Python ile Veri Bilimi ve Makine Öğrenmesi

Udemy

Paid Course

16 hours

On-Demand

Coursera

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.

Coursera

Free Online Course (Audit)

15 hours

On-Demand

Udemy

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

Udemy

Paid Course

7 hours 55 minutes

On-Demand

Udemy

Veri Bilimi için Python ( Python for Data Science )

Udemy

Paid Course

3 hours 5 minutes

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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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

Stanford Seminar - When DNA Meets AI

Herramientas para el Análisis de Big Data

Utilisez des modèles supervisés non linéaires

Data Science for Business

Python Development & Data Science: Variables and Data Types

16+ Saat Python ile Veri Bilimi ve Makine Öğrenmesi

How Google does Machine Learning en Español

Learn Python Programming : Step By Step Guide for Beginners

Veri Bilimi için Python ( Python for Data Science )

【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〜

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?