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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
10.5K

Leerpad

Data-analist in Power BI

50 uur
29.9K
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

Tijdreeksanalyse in Power BI

GemiddeldVaardigheidsniveau
5 uur
382
Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.

Cursus

Je datavisualisaties verbeteren in Python

GemiddeldVaardigheidsniveau
4 uur
368
Leer hoe je boeiende en aantrekkelijke visualisaties kunt maken die helpen om resultaten efficiënt en effectief over te brengen.

Cursus

Visualizing Geospatial Data in Python

GemiddeldVaardigheidsniveau
4 uur
318
Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.

Cursus

Visualizations in Sigma

BasisVaardigheidsniveau
2 uur
298
Learn to build and customize Sigma charts to tell clear, compelling data stories—no coding required.

Cursus

Casestudy: Voorraadanalyse in Power BI

GemiddeldVaardigheidsniveau
5 uur
297
Deze Power BI-casestudy laat zien hoe je in het echte leven voorraadanalyse kunt aanpakken met DAX en visualisaties.

Cursus

Casestudy: e-commerceanalyse in Power BI

GemiddeldVaardigheidsniveau
4 uur
267
In ecommerce, increasing sales and reducing costs are key. Analyze data from an online pet supply company using Power BI.

Cursus

Georuimtelijke data visualiseren in R

GemiddeldVaardigheidsniveau
4 uur
254
Leer ruimtelijke gegevens lezen, verkennen en bewerken, en gebruik je vaardigheden om informatieve kaarten te maken met R.

Cursus

Baseball-gegevens visualiseren in Power BI

BasisVaardigheidsniveau
1 uur
237
Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.

Cursus

Tijdreeksen visualiseren in R

GemiddeldVaardigheidsniveau
4 uur
220
Leer hoe je tijdreeksen kunt visualiseren in R en oefen vervolgens met een casestudy over het selecteren van aandelen.

Cursus

Tijdreeksanalyse in Tableau

GemiddeldVaardigheidsniveau
2 uur
168
In this course, you’ll learn to classify, treat and analyze time series; an absolute must, if you’re serious about stepping up as an analytics professional.

Cursus

Casestudy: Zorgdata analyseren in Tableau

GemiddeldVaardigheidsniveau
3 uur
136
Oefen met Tableau aan de hand van onze casestudy over de gezondheidszorg. Analyseer gegevens, ontdek inzichten over efficiëntie en bouw een dashboard.

Cursus

Casestudy: Supply Chain-analytics in Tableau

GemiddeldVaardigheidsniveau
4 uur
98
Duik in onze Tableau-casestudy over supply chain-analyse. Pak verzending, voorraadbeheer en het maken van dashboards aan om je bedrijf te verbeteren.

Cursus

Casestudy: e-commerceanalyse in Tableau

GemiddeldVaardigheidsniveau
3 uur
79
In ecommerce, increasing sales and reducing expenses are top priorities. In this case study, youll investigate data from an online pet supply company.

Cursus

Casestudy: voorraad­analyse in Tableau

GemiddeldVaardigheidsniveau
2 uur
67
Verbeter je Tableau-vaardigheden met deze casestudy over voorraadanalyse. Bekijk een dataset, maak berekende velden en maak visualisaties.

Cursus

Introductie tot datavisualisatie met Julia

GemiddeldVaardigheidsniveau
4 uur
55
Word een expert in het visualiseren van gegevens in Julia. Leer hoe je mooie grafieken kunt maken en begrijp wanneer en hoe je ze moet gebruiken.

Gerelateerde bronnen over Data Visualization

blog

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.
Javier Canales Luna's photo

Javier Canales Luna

13 min

kort overzicht

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.
Richie Cotton's photo

Richie Cotton

5 min

Tutorial

Visualizing Data in Excel

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

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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