Communicate your data findings more effectively—build visually appealing, interactive business intelligence (BI) dashboards with Tableau.

BI Dashboards with Tableau

Learn how to fit and interpret linear regression with a single predictor variable

Simple Linear Regression

Perform data analysis on funnels, churn, and attribution. This course contains advanced SQL content for new Marketers and Product Managers.

Learn Intermediate SQL for Marketers and Product Managers

Dive deeper into Python 3 — one of the world’s most popular programming languages.

Learn Intermediate Python 3

Learn the fundamentals of probability and how to quantify and visualize uncertainty. 

Probability

Build stunning, interactive reports with Microsoft Power BI's business intelligence (BI) dashboards.

BI Dashboards with Power BI

Learn to communicate with databases using SQL, the standard data management language.

Learn SQL

Learn how to calculate and interpret several descriptive statistics using the Python library NumPy.

Learn Statistics with Python

Use the Potential Outcomes Framework to estimate what we cannot measure.

Potential Outcomes Framework for Causal Inference

Learn the basics of Machine Learning in this introductory course.


Learn the Basics of Machine Learning

Apply regular expressions (regex) and other natural language parsing tactics to find meaning and insights in the texts you read every day.



Language Parsing

Learn the basics of Pandas, an industry standard Python library that provides tools for data manipulation and analysis. 

Learn Data Analysis with Pandas

Teach computers how to make decisions and play games with the Minimax Algorithm!

Learn the Basics of Artificial Intelligence (AI) with Minimax

Learn how to build and host your own Alexa Skill.

Learn to Program Alexa

Learn how to craft a compelling case for any audience using data and storytelling. Built by Hubspot.
 


Using Storytelling to Prove a Case With Data

Pull and clean data from the web with this Python based course.

How to Clean Data with Python

Learn about NumPy, a Python library used to store arrays of numbers, organize large amounts of data, and perform statistical calculations.


Learn Statistics with NumPy

Learn about seq2seq and LSTM neural networks commonly used in NLP work and how to implement them with TensorFlow for machine translation.

Text Generation

UPDATE: We've moved NLP content to
https://www.devv.com/learn/paths/natural-language-processing


Getting Started with Natural Language Processing

Learn how to decide which regression model to use. 

How to Choose a Linear Regression Model

Learn how to do data science projects on your own computer locally!

Getting Started Off-Platform for Data Science

Get a taste of regular expressions (regex), a powerful search pattern language to quickly find the text you're looking for.

Learn the Basics of Regular Expressions

Mimic experiments with the data you already have and measure the effects of treatment even with incomplete data.

Regression Discontinuity Design and Instrumental Variables

Learn how to organize and modify data in R using dplyr.

Learn dplyr

Learn about linear algebra and how to perform operations with matrices and vectors.

Linear Algebra

A quick primer on R fundamentals for programmers.

R for Programmers

Use matching, weighting, propensity scores, and stratification to prepare data for causal analysis.

Matching and Weighting Methods for Causal Inference

Impara Python 3, l'ultima e migliore versione del linguaggio di programmazione più popolare al mondo. 

Impara Python 3

Learn how to present data graphically with Python, Matplotlib, and Seaborn.

Learn Data Visualization with Python

R is a popular language used by data scientists and researchers.  If you are working with data, R is a fantastic language to learn.

Learn R

Learn how to implement statistical models in R

Learn Statistics with R

Learn to clean text with Python 3 using regular expressions (regex) and NLTK. 


Text Preprocessing

Learn D3, the popular interactive data visualization library.

Learn D3

Learn about calculus, including how to analyze functions using limits and derivatives.

Differential Calculus

Learn advanced techniques to build more conversational Alexa skills.

Learn Conversational Design with Alexa

Learn the basics of data setup and visualization in Tableau.

Learn Tableau for Data Visualization

Find out when correlation really is causation!

Learn the Basics of Causal Inference with R

Learn how to build and interpret linear regression models with more than one predictor variable.

Multiple Linear Regression

Learn how to create visualizations using the popular R package ggplot2

Learn ggplot2

Learn a new way to work with databases using MongoDB!

Learn MongoDB

Learn to plan, implement, and interpret a hypothesis test in Python.

Hypothesis Testing with Python

Explore SQL further in this course focusing on how to analyze data.

How to Analyze Business Metrics with SQL

Practice more SQL in this course that covers how to manipulate and transform data.

How to Transform Tables with SQL

Learn about exploratory data analysis (EDA) techniques.

Exploratory Data Analysis in Python

Estimate effects by analyzing trends over time

Difference in Differences for Causal Inference

Learn about the difference between simple linear regression and multiple linear regression in R

Learn Linear Regression in R

Learn advanced topics in Python 3 and improve your developer skills!

Learn Advanced Python 3

Learn the basics of the world's fastest growing and most popular programming language used by software engineers, analysts, data scientists, and machine learning engineers alike.

Learn Python 2

Discover the world of data in this fully conceptual course where you will learn how to think about, visualize, and analyze data.

Principles of Data Literacy

Learn Beautiful Soup, a popular Python library for web scraping.

Learn Web Scraping with Beautiful Soup

Learn how to fit, interpret, and compare linear regression models in Python.

Linear Regression in Python

Scopri come riassumere i dati utilizzando statistiche numeriche e visualizzazioni dei dati, poi pianifica e implementa il test di ipotesi in Python.

Padroneggia le statistiche con Python

Scopri come analizzare e visualizzare i dati utilizzando Python.

Analizza i dati con Python

L'elaborazione del linguaggio naturale o Natural Language Processing (NLP) riguarda il modo in cui i computer lavorano con il linguaggio umano. Non limitarti solamente ad usare strumenti di PNL: creali!

Applica il Natural Language Processing (NPL) con Python

Scopri come manipolare set di dati di grandi dimensioni, creare splendide visualizzazioni, creare modelli statistici e comunicare i tuoi risultati.

Analizza i dati con R

Scopri come trasformare i tuoi dati in bellissime visualizzazioni usando Python!

Visualizza i dati con Python

Padroneggia le query SQL e lavora con datasets complessi in modo da poter analizzare i tuoi dati aziendali e migliorare la tua carriera.

Analizza i dati con SQL

Scopri come creare e ottimizzare da zero un database utilizzando PostgreSQL.

Progetta database con PostgreSQL

Acquisisci le competenze per colmare il divario tra Data Science e Software Engineering e preparati a risolvere problemi relativi dati in un team di ingegneri.

Software Engineering per Data Scientists

Impara Python e SQL e acquisisci le competenze necessarie per interrogare, analizzare, visualizzare i dati e comunicare i risultati.

Fondamenta di Data Science

Passa dall'essere un principiante completo di Python alla creazione di chatbot con il deep learning.

Crea chatbot con Python

Impara il deep learning, una forma all'avanguardia di machine learning ispirata all'architettura del cervello.

Crea modelli di deep learning con TensorFlow

Scopri come navigare tra le offerte di lavoro, avere successo nelle domande del colloquio e affrontare le challenge del tuo prossimo colloquio di lavoro da Data Scientist.

Supera il colloquio da Data Scientist

Gli ingegneri di Machine Learning/AI creano sistemi di ML che alimentano molte delle app che utilizziamo ogni giorno. Lavorano con Python, Git e ML.

Diventa Machine Learning/AI Engineer

Il Machine Learning è tutto intorno a noi. Questo percorso ti introdurrà agli algoritmi più popolari e ampiamente utilizzati.

Fondamenta di Machine Learning

Scopri come elaborare, analizzare e visualizzare i dati finanziari utilizzando Python.

Analizza i dati finanziari con Python

Data Analysts e Analytics Data Scientists utilizzano Python e SQL per interrogare, analizzare, visualizzare i dati e in fine comunicare i risultati.

Data Scientist: specialista in Analytics

Scopri le tecniche di ingegneria delle feature e come implementarle!

Ingegneria delle Feature

I Data Scientist di NLP danno un significato al linguaggio umano, analizzano testi e frasi e creano chatbot. Usano Python, SQL, & NLP per rispondere alle domande.

Data Scientist: specialista in Natural Language Processing

Scopri come navigare tra le offerte di lavoro, avere successo nelle domande del colloquio e affrontare le challenge del tuo prossimo colloquio di lavoro come Data Analyst.

Supera il colloquio da Data Analyst

I Machine Learning Data Scientist sono coloro che risolvono problemi su larga scala, fanno previsioni, trovano patterns e altro ancora! Usano Python, SQL e algoritmi.

Data Scientist: specialista in Machine Learning

Impara le fondamenta del machine learning e applica questi concetti a dati del mondo reale!

Crea un modello di Machine Learning con Python

Impara le nozioni di matematica necessarie per immergerti nel mondo del Data Science!

Matematica di base per Data Science

I Data Scientist di inferenza eseguono test di A/B, eseguono root-cause analysis e conducono esperimenti. Usano Python, SQL e R per analizzare i dati.

I corsi piu popolari

Linguaggi

Argomenti

Percorsi di carriera

Data Science