Data Science Courses

344 Courses

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.
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provider Pluralsight
pricing Free Trial Available
sessions On-Demand

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.
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provider Udemy
pricing Paid Course
duration 8 hours 42 minutes
sessions On-Demand

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.
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provider edX
pricing Free Online Course (Audit)
duration 4 weeks, 3-5 hours a week
sessions On-Demand

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

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.
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provider Udemy
pricing Paid Course
duration 1 hour 30 minutes
sessions On-Demand

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.
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provider DataCamp
pricing Free Trial Available
duration 2 hours
sessions On-Demand

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.
provider OpenClassrooms
pricing Free Online Course
duration 12 hours
sessions On-Demand

Professional Diploma in Python Development

Professional Diploma in Python Development - MTF Institute | Udemy Kickstart your career in technology with the Professional Diploma in Python Development offered by MTF Institute on Udemy. This comprehensive program covers everything you need to know about Python for Data Science, Web Development, Machine Learning, and Software Development. Wh.
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provider Udemy
pricing Paid Course
duration 2 hours 56 minutes
sessions On-Demand

2024 Python for Machine Learning: A Step-by-Step Guide

Title: 2024 Python for Machine Learning: A Step-by-Step Guide Description: Dive into Data Science Projects using Python and explore key techniques such as Linear Regression, Logistic Regression, Random Forest, SVM, KNN, KMeans, XGBoost, and PCA. Master both supervised and unsupervised learning methods in this comprehensive course. Provider: Udemy U.
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provider Udemy
pricing Paid Course
duration 1 day 8 hours 5 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!