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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

 

Kursus

Visualisasi Data di Power BI

DasarTingkat Keterampilan
4.8+
10.932 ulasan
3 jam
Power BI adalah alat visualisasi data yang kuat yang dapat digunakan dalam laporan dan dasbor.

Program

Analis Data di Power BI

4.7+
216 ulasan
50 jam
Dibuat bersama Microsoft—dapatkan keterampilan Power BI yang Anda butuhkan untuk mempersiapkan, memodelkan, dan memvisualisasikan data untuk sertifikasi PL-300 Data Analyst.

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Kursus

Studi Kasus: Analitik Rantai Pasok di Power BI

DasarTingkat Keterampilan
4.8+
196 ulasan
4 jam
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.

Kursus

Visualisasi Data Baseball di Power BI

DasarTingkat Keterampilan
4.8+
214 ulasan
1 jam
Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.

Kursus

Studi Kasus: Analisis Persediaan di Power BI

MenengahTingkat Keterampilan
4.7+
184 ulasan
5 jam
Studi kasus Power BI ini menguraikan penerapan nyata dalam bisnis untuk menganalisis persediaan menggunakan DAX dan visualisasi.

Kursus

Memvisualisasikan Data Geospasial di R

MenengahTingkat Keterampilan
4.6+
91 ulasan
4 jam
Pelajari cara membaca, mengeksplorasi, dan memanipulasi data spasial, lalu gunakan keterampilan Anda untuk membuat peta informatif menggunakan R.

Kursus

Memvisualisasikan Data Deret Waktu di R

MenengahTingkat Keterampilan
4.8+
186 ulasan
4 jam
Pelajari cara memvisualisasikan data time series di R, lalu praktikkan dengan studi kasus pemilihan saham.

Kursus

Analisis Deret Waktu di Tableau

MenengahTingkat Keterampilan
4.7+
163 ulasan
2 jam
Pelajari cara mengklasifikasi, memproses, dan menganalisis time series—kunci untuk berkembang sebagai profesional analytics.

Kursus

Studi Kasus: Analitik Rantai Pasok di Tableau

MenengahTingkat Keterampilan
4.7+
72 ulasan
4 jam
Dive into our Tableau case study on supply chain analytics. Tackle shipment, inventory management, and dashboard creation to drive business improvements.

Kursus

Studi Kasus: Analisis E-niaga di Tableau

MenengahTingkat Keterampilan
4.7+
65 ulasan
3 jam
In ecommerce, increasing sales and reducing expenses are top priorities. In this case study, youll investigate data from an online pet supply company.

Kursus

Studi Kasus: Analisis Persediaan di Tableau

MenengahTingkat Keterampilan
4.7+
66 ulasan
2 jam
Perkuat keterampilan Tableau Anda dengan studi kasus ini tentang analisis persediaan. Analisis dataset, buat bidang yang dihitung, dan buat visualisasi.

Kursus

Pengantar Visualisasi Data dengan Julia

MenengahTingkat Keterampilan
4.7+
34 ulasan
4 jam
Menguasai visualisasi data dalam Julia. Pelajari cara membuat grafik yang menakjubkan sambil memahami kapan dan bagaimana menggunakannya.

Kursus

Visualisasi Data Interaktif dengan Bokeh

MenengahTingkat Keterampilan
4.7+
42 ulasan
4 jam
Pelajari cara membuat visualisasi data interaktif, termasuk membangun dan menghubungkan widget menggunakan Bokeh!

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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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