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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+
1619 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

Manipolazione dei dati in Alteryx

BasicLivello di competenza
4.8+
628 revisioni
3 h
Gestisci i dati usando unioni, join, analisi e ottimizzazione delle prestazioni in Alteryx.

Corso

Rimodellare i dati con pandas

IntermedioLivello di competenza
4.7+
784 revisioni
4 h
Riorganizza i DataFrame da un formato largo a uno lungo, impila e disimpila righe e colonne e gestisci i DataFrame multi-indice.

Corso

Manipolare dati di serie temporali in R

IntermedioLivello di competenza
4.8+
283 revisioni
4 h
Impara a gestire i dati delle serie temporali in R, come importarli, riassumerli e crearne dei sottoinsiemi, usando zoo, lubridate e xts.

Corso

Calcoli in Tableau

AvanzatoLivello di competenza
4.7+
651 revisioni
6 h
In questo corso interattivo imparerai come usare le funzioni per i tuoi calcoli in Tableau e quando è meglio usarle!

Corso

A/B Testing in Python

IntermedioLivello di competenza
4.7+
355 revisioni
4 h
Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, sanity checks, and analysis to guide business decisions.

Corso

Introduzione a Bioconductor in R

IntermedioLivello di competenza
4.7+
112 revisioni
4 h
Impara a usare i pacchetti Bioconductor essenziali per la bioinformatica usando dati su virus, funghi, esseri umani e piante!

Corso

Previsioni in R

BasicLivello di competenza
4.9+
51 revisioni
5 h
Impara a fare previsioni sul futuro usando le previsioni delle serie temporali in R, compresi i modelli ARIMA e i metodi di livellamento esponenziale.

Corso

Introduzione a Oracle SQL

BasicLivello di competenza
4.8+
246 revisioni
4 h
Migliora le tue abilità con Oracle SQL, imparando le basi, come aggregare, combinare e personalizzare i dati.

Corso

Modellazione con i dati nel Tidyverse

IntermedioLivello di competenza
4.8+
228 revisioni
4 h
Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.

Corso

Query SQL intermedie con l'AI

BasicLivello di competenza
4.8+
226 revisioni
3 h
Migliora le tue abilità SQL scrivendo prompt AI che creano query per ordinare, raggruppare, filtrare e classificare i dati.

Corso

Biomedical Image Analysis in Python

IntermedioLivello di competenza
4.8+
233 revisioni
4 h
Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.

Corso

Google Sheets intermedio

BasicLivello di competenza
4.8+
806 revisioni
4 h
Allarga il tuo vocabolario di Google Sheets approfondendo i tipi di dati, come quelli numerici, logici e mancanti.

Corso

Fondamenti di inferenza in R

IntermedioLivello di competenza
4.7+
52 revisioni
4 h
Impara a tirare conclusioni su una popolazione partendo da un campione di dati usando un processo chiamato inferenza statistica.

Corso

Algebra lineare per la Data Science in R

IntermedioLivello di competenza
4.7+
133 revisioni
4 h
Questo corso è unintroduzione allalgebra lineare, uno dei temi matematici più importanti alla base della scienza dei dati.

Corso

Visualizations in Sigma

BasicLivello di competenza
4.8+
180 revisioni
2 h
Learn to build and customize Sigma charts to tell clear, compelling data stories—no coding required.

Corso

Tipi di dati e funzioni in Snowflake

IntermedioLivello di competenza
4.8+
490 revisioni
3 h
Impara i tipi di dati e le funzioni di Snowflake per gestire testo, numeri e date mentre crei funzioni personalizzate e tabelle pivot.

Corso

Introduzione a Spark SQL in Python

AvanzatoLivello di competenza
4.7+
146 revisioni
4 h
Impara a gestire i dati e a creare set di funzionalità di machine learning in Spark usando SQL in Python.

Corso

Introduzione a Polars

BasicLivello di competenza
4.8+
392 revisioni
3 h
Scopri come trasformare, pulire e analizzare i dati in modo efficiente usando Polars, una libreria Python per la manipolazione veloce dei dati.

Corso

Progettazione Sperimentale in R

IntermedioLivello di competenza
4.7+
332 revisioni
4 h
In questo corso imparerai le basi della progettazione sperimentale, una parte fondamentale di qualsiasi analisi dei dati.

Corso

Tecniche statistiche in Tableau

IntermedioLivello di competenza
4.8+
642 revisioni
4 h
Porta le tue abilità di reporting a un livello superiore con le funzioni statistiche integrate di Tableau.

Corso

Generalized Linear Models in R

IntermedioLivello di competenza
4.8+
191 revisioni
4 h
The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

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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    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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