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Programming courses

Programming is a highly versatile skill, enabling you to dictate instructions to computer programs. DataCamp combines short video with extensive hands-on coding exercises, enabling anyone to master programming at speed.

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Recommended for Programming beginners

Build your Programming skills with interactive courses curated by real-world experts

Corso

Introduzione a Python per sviluppatori

BasicLivello di competenza
4.8+
18.8K
3 ore
Impara le basi della programmazione in Python. Non serve sapere niente prima!

Programma

Sviluppatore Python

3K
28 ore
Dal test del codice allimplementazione del controllo di versione, dal web scraping allo sviluppo di pacchetti, fai un passo avanti nel tuo percorso di sviluppatore Python!

Non sai da dove cominciare?

Valuta Le Tue Competenze

Sfoglia i corsi e programmi su Programming

Corso

Concetti intermedi su GitHub

IntermedioLivello di competenza
4.7+
1.9K
3 ore
Migliora le tue abilità su GitHub con il nostro corso intermedio su GitHub Projects, Amministrazione e funzioni di sicurezza avanzate.

Corso

Git avanzato

AvanzatoLivello di competenza
4.7+
1.6K
3 ore
Master Git’s advanced features to streamline data science and engineering workflows, from complex merging to large-scale project optimization.

Corso

Java intermedio

BasicLivello di competenza
4.8+
1.6K
4 ore
Impara a scrivere codice Java più pulito e intelligente con metodi, flusso di controllo e cicli.

Corso

Introduzione al Testing in Python

AvanzatoLivello di competenza
4.7+
1.4K
4 ore
Diventa un esperto dei test Python: Impara i metodi, crea controlli e assicurati che il codice sia privo di errori con pytest e unittest.

Corso

Concetti di DevOps

BasicLivello di competenza
4.8+
1.3K
4 ore
In questa Introduzione a DevOps imparerai le basi di DevOps e scoprirai i concetti chiave, gli strumenti e le tecniche per migliorare la produttività.

Corso

Regular Expressions in Python

BasicLivello di competenza
4.7+
1.3K
4 ore
Learn about string manipulation and become a master at using regular expressions.

Corso

Docker intermedio

IntermedioLivello di competenza
4.7+
1.2K
4 ore
Impara a gestire build multistadio, strumenti di rete Docker e Docker Compose per avere app containerizzate al top!

Corso

Introduction to Bash Scripting

IntermedioLivello di competenza
4.8+
1K
4 ore
Bash scripting allows you to build analytics pipelines in the cloud and work with data stored across multiple files.

Corso

SQL Server intermedio

IntermedioLivello di competenza
4.8+
1K
4 ore
In questo corso userai T-SQL, il tipo di SQL che si usa in SQL Server di Microsoft per analizzare i dati.

Corso

Writing Efficient R Code

IntermedioLivello di competenza
4.7+
1K
4 ore
Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.

Corso

Sviluppare pacchetti Python

IntermedioLivello di competenza
4.7+
937
4 ore
Impara a creare i tuoi pacchetti Python per rendere il tuo codice più facile da usare e condividere con gli altri.

Corso

Tipi di dati ed eccezioni in Java

IntermedioLivello di competenza
4.8+
807
4 ore
Padroneggia gli oggetti Java, il Collections Framework e la gestione delle eccezioni come un pro, con il logging!

Corso

Input/Output e Stream in Java

IntermedioLivello di competenza
4.8+
708
4 ore
Migliora le tue abilità Java imparando a gestire i file, elaborare i dati e creare codice pulito e riutilizzabile usando tecniche del mondo reale.

Corso

Introduzione all'ottimizzazione in Python

IntermedioLivello di competenza
4.7+
690
4 ore
Learn to solve real-world optimization problems using Pythons SciPy and PuLP, covering everything from basic to constrained and complex optimization.

Corso

Building Web Applications with Shiny in R

IntermedioLivello di competenza
4.7+
687
4 ore
Shiny is an R package that makes it easy to build interactive web apps directly in R, allowing your team to explore your data as dashboards or visualizations.

Corso

Introduction to Julia

BasicLivello di competenza
4.8+
458
4 ore
Julia is a new programming language designed to be the ideal language for scientific computing, machine learning, and data mining.

Corso

Lavorare con date e orari in R

IntermedioLivello di competenza
4.8+
381
4 ore
Impara le basi dellanalisi, della manipolazione e del calcolo di date e orari in R.

Corso

Ottimizzazione del codice in Java

AvanzatoLivello di competenza
4.8+
322
3 ore
Scopri le tecniche chiave per migliorare le prestazioni di Java, dallefficienza degli algoritmi alla messa a punto della JVM e al multithreading.

Risorse correlate su Programming

blog

Introduction to Programming Paradigms

Explore the core concepts of major programming paradigms with Python examples, including object-oriented, functional, procedural, and declarative paradigms.
Samuel Shaibu's photo

Samuel Shaibu

12 min

blog

Will AI Replace Programming?

Will programmers disappear, or will their roles just be disrupted by the adoption of next-generation AI tools?
Javier Canales Luna's photo

Javier Canales Luna

8 min

Tutorial

Functional Programming vs Object-Oriented Programming in Data Analysis

Explore two of the most commonly used programming paradigms in data science: object-oriented programming and functional programming.
Amberle McKee's photo

Amberle McKee

15 min


Ready to apply your skills?

Projects allow you to apply your knowledge to a wide range of datasets to solve real-world problems in your browser

Frequently asked questions

What is programming?

Programming refers to a technological process for telling a computer which tasks to perform in order to solve problems. 

Programming is a collaboration between humans and computers in which humans create instructions for a computer to follow (code) in a language computers can understand.

Which Programming course is the best for absolute beginners?

Depending on which language you want to learn, anyone can take all introductory courses on DataCamp—no experience is required.

Python is the world’s most popular programming language and a great place to start for any aspiring data professional.

However, R, SQL, and Julia are other great leanguages you can start learning today.

Introduction to Python—universally used, simple to read, and accessible to learn

Introduction to R—powerful and  favored in specialized areas like statistical analysis and data visualization

Introduction to SQL—most popular for database management

Introduction to Julia—new and fast, ideal for scientific computing, machine learning, and data mining.

You can start coding today with interactive exercises.

How will programming help my career?

Knowing how to code makes you more adaptable, and a better problem solver, and gives you an in-demand, high-earning skill. 

Coders or computer programmers have the flexibility to choose the career path they want.

And, you don’t need a school or university, you can learn programming quickly online through platforms like DataCamp.

Starting from scratch? In 90 hours of study, you can go from zero to job-ready with our Associate Data Scientist in Python Career Track.

Do I need any prior experience to take a Programming course?

No, anyone can start programming instantly on DataCamp. 

Choose your language, and start from scratch at your own pace with interactive, expert-led exercises.

Which programming language should I learn?

Python is the world’s most popular programming language and a great place to start for any aspiring data professional. 

R is widely used in academic circles, especially for those focused on specialized areas like statistical analysis, data visualization, and research.  

SQL is the world’s most popular database management language. It is used extensively for data retrieval, insertion, updating, and deleting. This makes it a fundamental tool for data analysis, database management, and in various applications where data storage and query are essential.

Julia is a new and exciting programming language designed from its foundations to be the ideal language for scientific computing, machine learning, and data mining.

How long does it take to learn programming?

Each introductory course on DataCamp is between three to five hours, and requires no previous experience.

In other words, you can quite quickly develop foundational skills and start coding.

Career tracks, such as Associate Data Scientist in Python, involve multiple courses and projects, taking 90+ hours.

This is similar across other programming languages. 

There is no one-size-fits-all approach, and even advanced or professional programmers continue to develop their skills.

However, if you dedicate a few weeks of part-time study, you can master the basics and prepare for more advanced programming.

Is it easy to learn programming?

Anyone can learn to code if you dedicate time. 

DataCamp’s interactive approach means you don’t take on too much too soon, and you start applying your skills from day one, preparing you for real-world applications.

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