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Data Science Courses

413 Courses

California Institute of Technology Udemy

Deep Learning Prerequisites: The Numpy Stack in Python (V2+)

Course Provider: Udemy Enhance your data analysis skills and lay a solid foundation for advanced artificial intelligence applications with this comprehensive course on the Numpy stack. Dive into the practical applications of Numpy, Scipy, Pandas, and Matplotlib to seamlessly transition into the realms of deep learning and machine learning. Cours.
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California Institute of Technology Udemy

OpenAI Python API Bootcamp: Learn to use AI, GPT, and more!

OpenAI Python API Bootcamp: Master AI, GPT, and More with Udemy Unlock the potential of OpenAI's powerful Python API in this comprehensive bootcamp. Tailored for aspiring developers, data scientists, and AI enthusiasts, learn to seamlessly integrate AI capabilities into your projects. From generating text to crafting stunning images, this.
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California Institute of Technology Udemy

The Product Management for AI & Data Science Course

The Product Management for AI & Data Science Course | Udemy Provider: Udemy Categories: Artificial Intelligence Courses Data Science Courses Product Management Courses Business Strategy Courses Privacy Courses Team Management Courses
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California Institute of Technology Udemy

Data Science Real World Projects in Python

Udemy offers a comprehensive course, "Data Science Real World Projects in Python," designed for aspiring Data Scientists and ML Engineers. Dive into practical projects across AI, ML, NLP, and Time Series Analysis to gain hands-on experience and enhance your resume. Explore various Data Science methodologies and techniques through systematically.
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California Institute of Technology Coursera

Developing Machine Learning Solutions

In this machine learning course, you will learn about the machine learning lifecycle and how to use AWS services at every stage. Additionally, you will discover the diverse sources for machine learning models and learn techniques to evaluate their performance. You will also understand the importance of machine learning operations (MLOps) in str.
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California Institute of Technology Udemy

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
California Institute of Technology 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.
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provider edX
pricing Free Online Course (Audit)
duration 4 weeks, 3-5 hours a week
sessions On-Demand
California Institute of Technology 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.
provider OpenClassrooms
pricing Free Online Course
duration 12 hours
sessions On-Demand
California Institute of Technology 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.
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provider DataCamp
pricing Free Trial Available
duration 2 hours
sessions On-Demand
California Institute of Technology 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.
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provider Udemy
pricing Paid Course
duration 1 hour 30 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!