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Data Visualization courses

Data visualization courses focus on techniques and tools for representing data graphically to communicate information clearly and efficiently. Build your visualization skills with tools such as Python, R, Tableau, Power BI and Excel.

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Recommended for Data Visualization beginners

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Corso

Visualizzazione dei dati in Power BI

BasicLivello di competenza
4.8+
10.932 revisioni
3 h
Power BI è un potente strumento di visualizzazione dei dati che può essere utilizzato in report e dashboard.

Programma

Analista dati in Power BI

4.7+
216 revisioni
50 h
Fatto insieme a Microsoft, impara le cose di Power BI che ti servono per preparare, modellare e visualizzare i dati per la certificazione PL-300 Data Analyst.

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Corso

Case Study: Supply Chain Analytics in Power BI

BasicLivello di competenza
4.8+
196 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

Visualizzazione dei dati del baseball in Power BI

BasicLivello di competenza
4.8+
214 revisioni
1 h
Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.

Corso

Visualizzare dati geospaziali in Python

IntermedioLivello di competenza
4.7+
365 revisioni
4 h
Crea visualizzazioni accattivanti di dati geospaziali in Python con il pacchetto geopandas e le mappe folium.

Corso

Caso di studio: analisi e-commerce in Power BI

IntermedioLivello di competenza
4.8+
215 revisioni
4 h
Nellecommerce, aumentare le vendite e ridurre i costi è fondamentale. Analizza i dati di unazienda online di forniture per animali domestici con Power BI.

Corso

Visualizzare dati geospaziali in R

IntermedioLivello di competenza
4.6+
91 revisioni
4 h
Impara a leggere, esplorare e gestire i dati spaziali, poi usa le tue abilità per creare mappe informative con R.

Corso

Visualizzare le serie temporali in R

IntermedioLivello di competenza
4.8+
186 revisioni
4 h
Impara a visualizzare le serie temporali in R, poi fai pratica con un caso di studio sulla selezione dei titoli azionari.

Corso

Analisi delle serie temporali in Tableau

IntermedioLivello di competenza
4.7+
163 revisioni
2 h
Impara a classificare, trattare e analizzare serie temporali: competenze essenziali per diventare un professionista dell’analisi.

Corso

Caso di studio: Supply Chain Analytics in Tableau

IntermedioLivello di competenza
4.7+
72 revisioni
4 h
Dive into our Tableau case study on supply chain analytics. Tackle shipment, inventory management, and dashboard creation to drive business improvements.

Corso

Data Visualization in KNIME

BasicLivello di competenza
4.8+
211 revisioni
2 h
Impara a creare visualizzazioni di dati interessanti con KNIME, che includono grafici, componenti e dashboard.

Corso

Case Study: HR Analytics in Tableau

IntermedioLivello di competenza
4.8+
80 revisioni
3 h
Scopri come analizzare i dati delle risorse umane in Tableau con questo caso di studio.

Corso

Caso di studio: analisi e-commerce in Tableau

IntermedioLivello di competenza
4.7+
65 revisioni
3 h
In ecommerce, increasing sales and reducing expenses are top priorities. In this case study, youll investigate data from an online pet supply company.

Corso

Caso di studio: analisi delle scorte in Tableau

IntermedioLivello di competenza
4.7+
66 revisioni
2 h
Enhance your Tableau skills with this case study on inventory analysis. Analyze a dataset, create calculated fields, and create visualizations.

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    Frequently asked questions

    What is data visualization used for?

    Data visualization is essential for telling stories with data in a format that is easy to understand. Nobody really enjoys looking at rows and columns of figures, for instance. But if we turn this information into a graphical representation, say a scatter plot or a bar graph, it’s much easier for people to understand the relationship between the qualities we’re representing and our findings.

    Data visualizations are found in newspapers, business reports, academic studies, and in many other contexts. With data visualizations, we can condense a lot of information into a smaller area and make it accessible. Visualizations also make it easier to see patterns and differences between variables, even when a table of data or the averages may appear very similar.

    Are data visualization skills in demand?

    Yes. An analysis from Lightcast found a clear upward trend in job postings that mention ‘data visualization’ between 2016 and 2021.

    The ability to effectively visualize data is essential for many roles, technical and non-technical, and will only become more important as businesses better utilize data.

    Do I need to know Python to be good at data visualization?

    No. Python is not your only option: the programming language R is also a popular choice for creating masterful data visualizations.

    Additionally, if you’d like to avoid programming languages altogether, there are dedicated programs such as Tableau that can help you create powerful data visualizations. Excel and Google Sheets are also popular options that require minimal technical skill.

    What are the most popular data visualization tools?

    Some of the most popular data visualization tools include:

    • Python and its related packages such as Matplotlib and Seaborn
    • R, which was specifically designed for statistical analysis and data visualizations, alongside R tools such as plotly, ggplot2, and lattice
    • Power BI
    • Tableau
    • Excel and spreadsheets

    DataCamp offers introductory courses for each of these popular data visualization tools, as well as courses that cover specific data visualization techniques using each technology or its packages.

    Do I need to download data visualization software to learn on Datacamp?

    No, we provide everything you need right in your browser. Whether you’re learning data visualization with DataCamp’s online courses in Tableau, Power BI, or Python, all you need to bring is your computer and a reliable internet connection.

    If you’re taking data visualization with Tableau, you might want to download the software, but it’s not required.

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