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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
8 ore
3.3K
Migliora le tue competenze con Tableau grazie ad analisi e visualizzazioni avanzate.

Programma

Analista dati associato in SQL

39 ore
56.9K
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

Analisi dei dati dei social media in R

IntermedioLivello di competenza
4 ore
115
Prendi e guarda i dati di Twitter, fai analisi del sentiment e della rete e mappa la posizione geografica dei tuoi tweet.

Corso

Analisi dei dati da sondaggio in Python

IntermedioLivello di competenza
4 ore
111
Impara ad analizzare i dati dei sondaggi con Python e scopri quando è meglio usare strumenti statistici descrittivi e inferenziali.

Corso

ChIP-seq con Bioconductor in R

IntermedioLivello di competenza
4 ore
102
Impara come analizzare e interpretare i dati ChIP-seq con laiuto di Bioconductor usando un set di dati sul cancro umano.

Corso

Analisi di reti intermedia in Python

AvanzatoLivello di competenza
4 ore
102
Analizza i grafici delle serie temporali, usa i grafici bipartiti e impara a risolvere problemi complessi nellanalisi delle reti.

Corso

Caso di studio: Supply Chain Analytics in Tableau

IntermedioLivello di competenza
4 ore
97
Dive into our Tableau case study on supply chain analytics. Tackle shipment, inventory management, and dashboard creation to drive business improvements.

Corso

Modeling bayesiano con RJAGS

AvanzatoLivello di competenza
4 ore
82
In questo corso imparerai come usare modelli bayesiani più avanzati con RJAGS.

Corso

Caso di studio: analisi e-commerce in Tableau

IntermedioLivello di competenza
3 ore
81
In ecommerce, increasing sales and reducing expenses are top priorities. In this case study, youll investigate data from an online pet supply company.

Corso

Analyzing US Census Data in R

IntermedioLivello di competenza
4 ore
77
Learn to rapidly visualize and explore demographic data from the United States Census Bureau using tidyverse tools.

Corso

Programmare con dplyr

IntermedioLivello di competenza
4 ore
67
Impara come fare trasformazioni avanzate con dplyr e come mettere il codice dplyr e ggplot2 nelle funzioni.

Corso

Creare modelli di risposta in R

IntermedioLivello di competenza
4 ore
60
Impara a creare modelli semplici di risposta del mercato per rendere più efficaci i tuoi piani di marketing.

Corso

Previsione della domanda di prodotto in R

IntermedioLivello di competenza
4 ore
58
Learn how to identify important drivers of demand, look at seasonal effects, and predict demand for a hierarchy of products from a real world example.

Corso

Manipolazione dei dati in Julia

BasicLivello di competenza
4 ore
56
Impara le basi della manipolazione dei dati in Julia. Scopri come controllare, trasformare, raggruppare e visualizzare i DataFrame usando dati reali.

Corso

Modelli di Mixture in R

IntermedioLivello di competenza
4 ore
53
Impara i modelli misti: un modo pratico e formale per fare statistiche su raggruppamenti e classificazioni probabilistiche.

Corso

Rompicapi di probabilità in R

BasicLivello di competenza
4 ore
50
Impara le strategie per rispondere alle domande di probabilità in R risolvendo un sacco di enigmi di probabilità.

Corso

Analitica predittiva con dati di rete in R

IntermedioLivello di competenza
4 ore
30
Impara a prevedere le etichette dei nodi nelle reti usando lapprendimento di rete ed estraendo caratteristiche descrittive dalla rete.

Corso

Data Transformation with Polars

IntermedioLivello di competenza
4 ore
27
Take Polars further with text manipulation, rolling statistics, DataFrame joins, and advanced analytics.

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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