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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

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

 

Cursus

Datavisualisatie in Power BI

BasisVaardigheidsniveau
3 uur
10.4K

Leerpad

Data-analist in Power BI

50 uur
29.7K
Gemaakt samen met Microsoft: leer de Power BI-vaardigheden die je nodig hebt om gegevens voor te bereiden, te modelleren en te visualiseren voor de PL-300 Data Analyst-certificering.

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Cursus

Introductie tot Power BI

BasisVaardigheidsniveau
4 uur
55.5K
Beheers de basis van Power BI en leer met deze datavisualisatiesoftware impactvolle rapporten te maken.

Cursus

Introductie tot Tableau

BasisVaardigheidsniveau
6 uur
10.6K
Begin je Tableau-avontuur met onze cursus Inleiding tot Tableau. Ontdek de basis van Tableau, zoals de functies en dashboards.

Cursus

Gegevens visualiseren in Excel

BasisVaardigheidsniveau
3 uur
5.2K
Leer hoe je in Excel allerlei visualisaties kunt maken voor verschillende gegevensindelingen, zodat je de beste methodes gebruikt om dashboards te bouwen.

Cursus

Rapporten in Power BI

GemiddeldVaardigheidsniveau
3 uur
3.5K
Take your Power BI visualizations up a level with the skills you already have. Learn alternative data storytelling techniques to simply building dashboards.

Cursus

Rapportontwerp in Power BI

GemiddeldVaardigheidsniveau
3 uur
3.1K
Ga verder met je reis in datavisualisatie, waar je handige technieken leert om DAX-maatstaven en progressieve openbaarmaking in je rapporten te gebruiken.

Cursus

Dashboard Design Concepts

BasisVaardigheidsniveau
2 uur
2.1K
Learn the skills needed to create impactful dashboards. Understand dashboard design fundamentals, visual analytics components, and dashboard types.

Cursus

Dashboards maken in Tableau

BasisVaardigheidsniveau
3 uur
2K
Dashboards zijn echt onmisbaar in een wereld waar alles om data draait. Maak meer indruk op je bedrijfsresultaten met Tableau-dashboards.

Cursus

Gevorderde datavisualisatie met ggplot2

GemiddeldVaardigheidsniveau
4 uur
1.6K
Leer hoe je facetten, coördinatensystemen en statistieken in ggplot2 kunt gebruiken om handige grafieken te maken die dingen uitleggen.

Cursus

Datavisualisatie in Tableau

BasisVaardigheidsniveau
6 uur
1.1K
Datavisualisatie is een van de meest gewilde vaardigheden voor data-analisten. Met deze cursus kun je je bevindingen beter presenteren met Tableau.

Cursus

Communiceren met data in de Tidyverse

BasisVaardigheidsniveau
4 uur
848
Gebruik de kracht van tidyverse-tools om grafieken van publicatiekwaliteit en op maat gemaakte rapporten te maken die je resultaten goed laten zien.

Cursus

Berekeningen in Tableau

GevorderdVaardigheidsniveau
6 uur
709
In deze interactieve cursus leer je hoe je functies kunt gebruiken voor je Tableau-berekeningen en wanneer je ze moet gebruiken!

Cursus

Datavisualisatie in Databricks

BasisVaardigheidsniveau
3 uur
674
Maak visualisaties en dynamische dashboards met Databricks, zodat je ruwe data omzet in duidelijke en bruikbare inzichten.

Cursus

Casestudy: zorgdata analyseren in Power BI

GemiddeldVaardigheidsniveau
4 uur
532
Oefen met Power BI aan de hand van onze casestudy over de gezondheidszorg. Analyseer gegevens, ontdek inzichten over efficiëntie en bouw een dashboard.

Cursus

Best practices voor visualisaties in R

BasisVaardigheidsniveau
4 uur
500
Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.

Cursus

Casestudy: Supply Chain Analytics in Power BI

GemiddeldVaardigheidsniveau
4 uur
439
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.

Gerelateerde bronnen over Data Visualization

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Exploring 12 of the Best Data Visualization Tools in 2023 With Examples

There are many data visualization tools available. In this article, we have prepared a comprehensive list of some of the most useful data visualization tools in data science.
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Javier Canales Luna

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Data Visualization Cheat Sheet

In this data visualization cheat sheet, you'll learn about the most common data visualizations to employ, when to use them, and their most common use-cases.
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Richie Cotton

5 min

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Visualizing Data in Excel

Learn about Excel's various data visualization options that can help you analyze and interpret your data.
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Jess Ahmet

12 min

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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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