メインコンテンツへスキップ
家

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.

無料アカウントを作成

または

続行すると、弊社の利用規約、プライバシーポリシーに同意し、データが米国に保存されることに同意したことになります。
Group

2人以上をトレーニングしますか?

DataCamp for Businessを試す

Recommended for Data Visualization beginners

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

 

Courses

Power BIで学ぶデータ可視化

基本スキルレベル
3 hours
10.3K
Power BIは、レポートやダッシュボードで使用できる強力なデータ可視化ツールです。

Tracks

データアナリスト Power BI において

50 hours
29.7K
マイクロソフトと共同開発—PL-300 データアナリスト認定試験に向けて、データの準備、モデリング、可視化に必要なPower BIのスキルを習得いただけます。

どこから始めればよいか分からないですか?

評価を受ける

Data Visualizationコースとトラックを閲覧する

Courses

Power BI での時系列分析

中級スキルレベル
5 hours
371
Power BIでの時系列分析を実践的に学習。実データで作業し、代表的な手法を練習します。

Courses

Visualizations in Sigma

基本スキルレベル
2 hours
281
Learn to build and customize Sigma charts to tell clear, compelling data stories—no coding required.

Courses

R で地理空間データを可視化する

中級スキルレベル
4 hours
235
空間データの読み取り・探索・操作を学び、Rで洞察に富む地図を作成するスキルを身につけましょう。

Courses

Power BIで学ぶ野球データ可視化

基本スキルレベル
1 hours
230
Power BIで野球データを分析・可視化。散布図、トルネードチャート、ゲージで洞察を分かりやすく表現。

Courses

KNIMEで学ぶデータ可視化

基本スキルレベル
2 hours
181
KNIMEで魅力的なデータ可視化を習得。チャート、コンポーネント、ダッシュボードの作成を網羅。

Courses

Time Series Analysis in Tableau

中級スキルレベル
2 hours
162
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.

Courses

Case Study: Supply Chain Analytics in Tableau

中級スキルレベル
4 hours
96
Dive into our Tableau case study on supply chain analytics. Tackle shipment, inventory management, and dashboard creation to drive business improvements.

Courses

ケーススタディ：Tableauで行う在庫分析

中級スキルレベル
2 hours
65
在庫分析のケーススタディでTableauスキルを強化。データセットを分析し、計算フィールドを作成して、可視化を構築します。

Courses

Juliaで学ぶデータ可視化入門

中級スキルレベル
4 hours
56
Juliaでデータ可視化をマスター。目的に合った使い方を理解し、見栄えの良いプロットを作成できるようになります。

Data Visualizationの関連リソース

blogs

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 分

cheat sheets

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 分

tutorials

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 分

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.

    その他の技術とトピック

    technologies

    topics