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Data Analysis courses

Data analysis courses teach techniques for inspecting, cleaning, transforming, and modeling data to discover useful information, inform conclusions, and support decision-making. Build your analysis skills using technologies such as Python, R and SQL.

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Prova DataCamp for Business

Recommended for Data Analysis beginners

Build your Data Analysis skills with interactive courses, curated by real-world experts

Corso

Analizzare i dati in Tableau

BasicLivello di competenza
4.8+
1622 revisioni
8 h
Migliora le tue competenze con Tableau grazie ad analisi e visualizzazioni avanzate.

Programma

Analista dati associato in SQL

4.7+
172 revisioni
39 h
Acquisisci le competenze SQL necessarie per interrogare un database, analizzare i risultati e diventare un analista di dati esperto di SQL. Non è richiesta alcuna esperienza di codifica!

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Corso

Time Series Analysis in SQL Server

IntermedioLivello di competenza
4.7+
364 revisioni
5 h
Explore ways to work with date and time data in SQL Server for time series analysis

Corso

Analyzing Survey Data in R

IntermedioLivello di competenza
4.8+
215 revisioni
4 h
Learn survey design using common design structures followed by visualizing and analyzing survey results.

Corso

Introduzione a Python in Power BI

IntermedioLivello di competenza
4.8+
143 revisioni
3 h
Scopri come usare gli script Python in Power BI per preparare i dati, creare visualizzazioni e calcolare i coefficienti di correlazione.

Corso

Buone pratiche di visualizzazione in R

BasicLivello di competenza
4.8+
304 revisioni
1 h
Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.

Corso

Analisi delle serie temporali in Power BI

IntermedioLivello di competenza
4.8+
258 revisioni
5 h
Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.

Corso

Web scraping in R

IntermedioLivello di competenza
4.7+
93 revisioni
4 h
Scopri come raccogliere e scaricare dati da qualsiasi sito web in modo efficiente usando R.

Corso

Case Study: Supply Chain Analytics in Power BI

BasicLivello di competenza
4.8+
178 revisioni
4 h
Learn how to use Power BI for supply chain analytics in this case study. Create a make vs. buy analysis tool, calculate costs, and analyze production volumes.

Corso

Data Transformation with Polars

IntermedioLivello di competenza
4.9+
37 revisioni
4 h
Take Polars further with text manipulation, rolling statistics, DataFrame joins, and advanced analytics.

Corso

Introduzione alla modellazione lineare in Python

IntermedioLivello di competenza
4.7+
214 revisioni
4 h
Scopri i concetti e le applicazioni dei modelli lineari con Python e crea modelli per descrivere, prevedere ed estrarre informazioni dai modelli di dati.

Corso

Pensiero statistico in Python (Parte 2)

IntermedioLivello di competenza
4.7+
248 revisioni
4 h
Impara a fare le due cose principali nellinferenza statistica: stimare i parametri e verificare le ipotesi.

Corso

A/B Testing in R

IntermedioLivello di competenza
4.8+
90 revisioni
4 h
Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.

Corso

Pulizia dei dati nei database SQL Server

IntermedioLivello di competenza
4.8+
179 revisioni
4 h
Metti a punto le competenze che ti servono per pulire i dati grezzi e trasformarli in informazioni precise.

Corso

Comunicare con i dati nel Tidyverse

BasicLivello di competenza
4.8+
193 revisioni
4 h
Sfrutta la potenza degli strumenti tidyverse per creare grafici di qualità professionale e report personalizzati che comunichino i tuoi risultati.

Corso

Inferenza per dati numerici in R

AvanzatoLivello di competenza
4.8+
101 revisioni
4 h
In questo corso imparerai le tecniche per fare inferenze statistiche sui dati numerici.

Corso

Network Analysis in R

IntermedioLivello di competenza
4.7+
120 revisioni
4 h
Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.

Corso

Survival Analysis in R

IntermedioLivello di competenza
4.7+
188 revisioni
4 h
Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!

Corso

Probabilità avanzata: l'incertezza nei dati

AvanzatoLivello di competenza
4.8+
148 revisioni
2 h
Develop a better intuition for advanced probability, risk assessment, and simulation techniques to make data-driven business decisions with confidence.

Corso

Dati categoriali nel Tidyverse

BasicLivello di competenza
4.7+
168 revisioni
4 h
Preparati a classificare! In questo corso lavorerai con dati non numerici, come titoli di lavoro o risposte a sondaggi, usando il panorama Tidyverse.

Corso

Inferenza per dati categorici in R

AvanzatoLivello di competenza
4.8+
107 revisioni
4 h
In questo corso imparerai come usare le tecniche statistiche per lavorare con i dati categoriali.

Risorse correlate su Data Analysis

blog

How to Become a Data Analyst in 2026: 5 Steps to Start Your Career

Learn how to become a data analyst and discover everything you need to know about launching your career, including the skills you need and how to learn them.
Elena Kosourova's photo

Elena Kosourova

15 min

blog

30 Data Analytics Projects for All Levels in 2026

Explore our list of data analytics projects for beginners, final-year students, and professionals. The list consists of guided/unguided projects and tutorials with source code.
Abid Ali Awan's photo

Abid Ali Awan

13 min

Tutorial

Alteryx Tutorial: A Comprehensive Hands-On Guide for Data Analytics

Dive into our detailed Alteryx tutorial and learn how this powerful data analytics tool can transform your data handling experience. This guide covers everything from installation to advanced workflow automation in Alteryx, making it the perfect resource for beginners and seasoned data professionals alike.
Kurtis Pykes 's photo

Kurtis Pykes

11 min

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

    Frequently asked questions

    Is data analysis easy to learn?

    It’s different for everyone. Some people pick up data analysis very quickly, while others need a bit more time. The underlying theory and concepts are not hard to understand (or highly technical), but you’ll need to learn a few popular data analysis tools. 

    This includes SQL and databases, a programming language such as Python or R, spreadsheets and Excel, and software such as Power BI or Tableau. 

    It might sound like a lot, but each technology is easy to learn individually, especially when you choose data analysis courses from a dedicated online training provider like DataCamp.

    Has AI changed the role or need for data analysts?

    AI is indeed transforming the data analyst's role. Rather than replacing them, it has automated repetitive tasks, freeing analysts to focus on complex issues, interpret AI results, and strategize. Although AI aids in data analysis, human supervision for training and adjusting AI models remains crucial. Thus, AI is changing the analyst role but increased its importance.

    Which data analysis course is the best?

    We only release courses that meet our high quality standards, which is why DataCamp is known as a leading platform for learning data analysis! That being said, our Data Analyst with Python Career Track is one of our most popular, comprehensive course programs for acquiring the skills to become a data analyst from scratch.

    How can I become a data analyst quickly?

    To become a data analyst quickly, a structured learning path like DataCamp's Career Tracks is beneficial. For example, programs such as our Data Analyst with Python and Data Analyst with Power BI Tracks are designed to gradually upskill you in the various concepts, technologies and processes required to be a data analyst.

    And importantly, becoming a data analyst requires dedication and consistency in learning, while embracing a positive attitude towards problem-solving. Applying your knowledge to real-world projects helps solidify concepts, and creating a data portfolio to showcase these projects can demonstrate your proficiency to potential employers.

    See our 'How to become a data analyst' article for further guidance.

    How can online courses help you learn data analytics?

    DataCamp's courses provide a flexible and convenient way to learn data analytics at your own pace. Our data analytics courses, taught by industry experts, offer interactive exercises and practical projects that help you apply theoretical concepts to real-world scenarios.

    Do I need a background in programming to start learning data analytics?

    No, you don't need a programming background to start learning data analytics. Our beginner courses, such as Introduction to SQL and Analyzing Data in Tableau, are designed to accommodate beginners and gradually introduce programming concepts, if needed.

    What jobs can you get with data analysis skills?

    With data analysis skills in your technical tool kit, you have plenty of job options:

    • Data analyst
    • Database administrator
    • Systems analyst
    • Business intelligence
    • Digital marketer
    • Data scientist
    • Financial analyst
    • And many more!

    Because the modern business world is data-driven, people with data analysis skills find it easy to get work in an eclectic mix of industries and sectors.

    Are data analysis skills in demand?

    Yes, data analysts are some of the most in-demand professionals worldwide. Data from the US Bureau of Labor Statistics suggest the number of jobs for analysts is expected to grow by 23% between 2021 and 2031.

    How can I prove my data analysis skills to employers?

    To prove your data analysis skills to employers, you can complete our industry recognized Data Analyst Certification. This certification showcases your data analysis knowledge using SQL and either Python or R.

    What tools and software are commonly used in data analytics?

    Common tools in data analytics include Excel, SQL, Python, R, Tableau, and Power BI. These tools help in data manipulation, analysis, and visualization.

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