Generative AI for Business Leaders
Advertising with Meta
How Google does Machine Learning
Our Courses
Introducción a Pandas para Data Science
En este proyecto guiado obtendrás experiencia práctica trabajando con la librería Pandas y creando tu propio cuaderno de Jupyter Lab.
-
Course by
-
Self Paced
-
3 hours
-
Spanish
Ein Crashkurs in Datenwissenschaft
Inzwischen haben Sie sicher schon von Datenwissenschaft und Big Data gehört. In diesem einwöchigen Kurs werden wir in einem Crashkurs vermitteln, was diese Begriffe bedeuten und inwiefern sie in erfolgreichen Organisationen eine Rolle spielen. Dieser Kurs richtet sich an alle, die mehr über die Datenwissenschaft erfahren möchten, aber auch an jene, die vorhaben, ein Team von Datenwissenschaftlern zu leiten. Das Ziel ist es, Sie so schnell wie möglich pragmatisch mit der Datenwissenschaft vertraut zu machen.
-
Course by
-
Self Paced
-
6 hours
-
German
Cómo importar datos y crear visualizaciones en Python
Al final de este proyecto, podrás importar fuentes básicas de datos en Python y crear potentes visualizaciones a partir de su información y con muy pocas instrucciones de código. En este proyecto guiado aprenderá qué es el Data Science y cómo podemos dominarlo con el lenguaje Python desde cero. Python tiene un inmenso potencial con todas las librerías enfocadas en Data Science que le harán cambiar su día a día en el análisis de datos aportándole un salto cualitativo en su carrera profesional mejorando sustancialmente sus habilidades analíticas de manera muy eficiente.
-
Course by
-
Self Paced
-
3 hours
-
Spanish
Ferramentas para Ciência de Dados: Introdução ao R
Nossas boas-vindas ao Curso Ferramentas para Ciência de Dados: Introdução ao R. Neste curso, você aprenderá que o mundo evoluiu muito quando o assunto é tomada de decisão baseada em dados e já não é possível comparar a quantidade de informações a que temos acesso atualmente com o que tínhamos disponíveis décadas atrás.
-
Course by
-
Self Paced
-
Portuguese
데이터 과학이란 무엇인가?
The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since then, people working in data science have carved out a unique and distinct field for the work they do. This field is data science. In this course, we will meet some data science practitioners and we will get an overview of what data science is today.
-
Course by
-
Self Paced
-
Korean
Entendiendo un proceso de MLOps con Azure Databricks
En este proyecto, vamos a comprender el concepto de MLOps y su función dentro de un proceso de Data Science, enfocado con la herramienta de Azure Databricks.
-
Course by
-
Self Paced
-
1 hour
-
Spanish
Desarrollador back-end de Meta
Ready to gain new skills and the tools developers use to create websites and web applications?
-
Course by
-
Self Paced
-
Spanish
Data Science con Python e R
Questa Specialization è rivolta a quanti vogliano acquisire competenze di base nell’ambito della programmazione in Python e imparare ad utilizzare R e Python per risolvere problemi nell’ambito della Data Science. Attraverso i tre corsi, apprenderai come sono organizzate le strutture dei dati in R, come operare con il data wrangling e quali sono le principali tecniche di data visualization più utilizzate in ambito aziendale.
-
Course by
-
Self Paced
-
Italian
Erste Schritte mit dem tidyverse
In diesem angeleiteten Projekt wirst du die berühmte tidyverse-Paketfamilie kennen lernen! Das tidyverse ist eine Sammlung von R-Paketen für Data Analysis und Data Science, die die gleiche Philosophie und die gleichen Regeln teilen und perfekt ineinander greifen.
-
Course by
-
Self Paced
-
3 hours
-
German
SQL für Data Science
As data collection has increased exponentially, so has the need for people skilled at using and interacting with data; to be able to think critically, and provide insights to make better decisions and optimize their businesses. This is a data scientist, “part mathematician, part computer scientist, and part trend spotter” (SAS Institute, Inc.). According to Glassdoor, being a data scientist is the best job in America; with a median base salary of $110,000 and thousands of job openings at a time.
-
Course by
-
Self Paced
-
German
Marketing e Data Science
Este Programa de Cursos Integrados tem como objetivodesenvolver suas habilidades para analisar consumidores, mercado e concorrentes para ajudar no processo da tomada de decisão estratégia de Marketing. Ao final, você será capaz de planejar, construir e colocar em prática as estratégias de marketing a partir dos conhecimentos de Data Science. Você conhecerá a fundo o papel da estratégia de marketing para uma organização orientada para o mercado e para o uso de técnicas de marketing digital.
-
Course by
-
Self Paced
-
Portuguese
Introducción a Data Science: Programación Estadística con R
Este curso te proporcionará las bases del lenguaje de programación estadística R, la lengua franca de la estadística, el cual te permitirá escribir programas que lean, manipulen y analicen datos cuantitativos. Te explicaremos la instalación del lenguaje; también verás una introducción a los sistemas base de gráficos y al paquete para graficar ggplot2, para visualizar estos datos.
-
Course by
-
Self Paced
-
Spanish
Python per la Data Science
Python per la Data Science è un corso cruciale per qualsiasi professionista che voglia analizzare grandi quantità di dati attraverso le più recenti tecniche di machine Learning e Deep learning. Il core del corso è rappresentato dall’utilizzo dei notebook: una nuova forma di fruizione dei contenuti didattici in cui testo e teoria sono affiancati a numerosi codici eseguibili e modificabili. Il formato è visivamente simile ad un file PDF a cui si aggiunge l’interattività tipica dei prodotti software. Il risultato?
-
Course by
-
Self Paced
-
19 hours
-
Italian
Python: Istruzioni per l’uso
Il Corso fornisce i principi di programmazione, le tecniche e gli strumenti di Python, linguaggio interpretato orientato agli oggetti molto utilizzato in molteplici contesti scientifici ed aziendali. Python è un linguaggio di programmazione di alto livello, supporta diversi paradigmi di programmazione, come il paradigma object-oriented (con supporto all'ereditarietà multipla), imperativo e funzionale.
-
Course by
-
Self Paced
-
Italian
Data Science Coding Challenge: Loan Default Prediction
In this coding challenge, you'll compete with other learners to achieve the highest prediction accuracy on a machine learning problem. You'll use Python and a Jupyter Notebook to work with a real-world dataset and build a prediction or classification model. Important Information: How to register? To participate, you’ll need to complete simple steps. First, click the “Start Project” button to register. Next, you’ll need to create a Coursera Skills Profile, which only takes a few minutes.
-
Course by
-
Self Paced
-
3 hours
-
English
AI for Efficient Programming: Harnessing the Power of LLMs
This course on Artificial Intelligence (AI) for software development explores the use of AI large language models such as ChatGPT, Bard, and others and their potential benefits and challenges.
-
Course by
-
Self Paced
-
13 hours
-
English
Business Analytics Executive Overview
Businesses run on data, and data offers little value without analytics. The ability to process data to make predictions about the behavior of individuals or markets, to diagnose systems or situations, or to prescribe actions for people or processes drives business today. Increasingly many businesses are striving to become “data-driven”, proactively relying more on cold hard information and sophisticated algorithms than upon the gut instinct or slow reactions of humans. This course will focus on understanding key analytics concepts and the breadth of analytic possibilities.
-
Course by
-
Self Paced
-
17 hours
-
English
The R Programming Environment
This course provides a rigorous introduction to the R programming language, with a particular focus on using R for software development in a data science setting. Whether you are part of a data science team or working individually within a community of developers, this course will give you the knowledge of R needed to make useful contributions in those settings. As the first course in the Specialization, the course provides the essential foundation of R needed for the following courses.
-
Course by
-
27 hours
-
English
Information Extraction from Free Text Data in Health
In this MOOC, you will be introduced to advanced machine learning and natural language processing techniques to parse and extract information from unstructured text documents in healthcare, such as clinical notes, radiology reports, and discharge summaries. Whether you are an aspiring data scientist or an early or mid-career professional in data science or information technology in healthcare, it is critical that you keep up-to-date your skills in information extraction and analysis.
-
Course by
-
Self Paced
-
24 hours
-
English
A Crash Course in Data Science
By now you have definitely heard about data science and big data. In this one-week class, we will provide a crash course in what these terms mean and how they play a role in successful organizations. This class is for anyone who wants to learn what all the data science action is about, including those who will eventually need to manage data scientists. The goal is to get you up to speed as quickly as possible on data science without all the fluff.
-
Course by
-
Self Paced
-
7 hours
-
English
Python for Genomic Data Science
This class provides an introduction to the Python programming language and the iPython notebook. This is the third course in the Genomic Big Data Science Specialization from Johns Hopkins University.
-
Course by
-
Self Paced
-
9 hours
-
English
SQL for Data Science
As data collection has increased exponentially, so has the need for people skilled at using and interacting with data; to be able to think critically, and provide insights to make better decisions and optimize their businesses. This is a data scientist, “part mathematician, part computer scientist, and part trend spotter” (SAS Institute, Inc.). According to Glassdoor, being a data scientist is the best job in America; with a median base salary of $110,000 and thousands of job openings at a time.
-
Course by
-
Self Paced
-
14 hours
-
English
Getting Started with SAS Programming
This course is for users who want to learn how to write SAS programs to access, explore, prepare, and analyze data. It is the entry point to learning SAS programming for data science, machine learning, and artificial intelligence. It is a prerequisite to many other SAS courses. By the end of this course, you will know how to use SAS Studio to write and submit SAS programs that access SAS, Microsoft Excel, and text data.
-
Course by
-
Self Paced
-
25 hours
-
English
Excel Basics for Data Analysis
Spreadsheet tools like Excel are an essential tool for working with data - whether for data analytics, business, marketing, or research. This course is designed to give you a basic working knowledge of Excel and how to use it for analyzing data. This course is suitable for those who are interested in pursuing a career in data analysis or data science, as well as anyone looking to use Excel for data analysis in their own domain.
-
Course by
-
Self Paced
-
12 hours
-
English
Introduction to Genomic Technologies
This course introduces you to the basic biology of modern genomics and the experimental tools that we use to measure it. We'll introduce the Central Dogma of Molecular Biology and cover how next-generation sequencing can be used to measure DNA, RNA, and epigenetic patterns. You'll also get an introduction to the key concepts in computing and data science that you'll need to understand how data from next-generation sequencing experiments are generated and analyzed. This is the first course in the Genomic Data Science Specialization.
-
Course by
-
Self Paced
-
6 hours
-
English