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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

 

Kurs

Power BI ile Veri Görselleştirme

TemelBeceri Seviyesi
4.8+
11.3K
3 saat
Power BI, raporlarda ve gösterge panellerinde kullanılabilen güçlü bir veri görselleştirme aracıdır.

Program

Veri Analisti Power BI'da

27.5K
50 saat
Microsoft ile birlikte oluşturulmuş bu kursla, PL-300 Veri Analisti sertifikası için verileri hazırlamak, modellemek ve görselleştirmek için ihtiyacınız olan Power BI becerilerini edinin.

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Data Visualization kurs ve programlarına göz atın

Kurs

Case Study: Analyzing Job Market Data in Tableau

TemelBeceri Seviyesi
4.7+
415
3 saat
In this case study, you’ll use visualization techniques to find out what skills are most in-demand for data scientists, data analysts, and data engineers.

Kurs

Visualizing Geospatial Data in Python

Orta SeviyeBeceri Seviyesi
4.7+
406
4 saat
Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.

Kurs

Power BI'de Zaman Serisi Analizi

Orta SeviyeBeceri Seviyesi
4.8+
347
5 saat
Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.

Kurs

Power BI ile Beyzbol Veri Görselleştirme

TemelBeceri Seviyesi
4.8+
346
1 saat
Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.

Kurs

Case Study: Inventory Analysis in Power BI

Orta SeviyeBeceri Seviyesi
4.7+
331
5 saat
This Power BI case study follows a real-world business use case on tackling inventory analysis using DAX and visualizations.

Kurs

Tableau'da Zaman Serisi Analizi

Orta SeviyeBeceri Seviyesi
4.7+
227
2 saat
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.

Kurs

KNIME'da Veri Görselleştirme

TemelBeceri Seviyesi
4.8+
205
2 saat
KNIME ile grafikler, bileşenler ve gösterge panelleri dahil olmak üzere etkileyici veri görselleştirmeleri oluşturmayı öğrenin.

Kurs

R ile Coğrafi Verileri Görselleştirme

Orta SeviyeBeceri Seviyesi
4.5+
191
4 saat
Uzamsal verileri okumayı, keşfetmeyi ve işlemeyi öğrenin, ardından becerilerinizi kullanarak R ile bilgilendirici haritalar oluşturun.

Data Visualization ile ilgili kaynaklar

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 dk.

hızlı başlangıç kılavuzu

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 dk.

Eğitim

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 dk.

Ready to apply your skills?

Projects allow you to apply your knowledge to a wide range of datasets to solve real-world problems in your browser

    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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