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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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DataCamp for Business आज़माएं

Recommended for Data Visualization beginners

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

 

कोर्स

Power BI में Data Visualization

बुनियादीकौशल स्तर
4.8+
9,646 समीक्षाएँ
3 घंटे
Power BI एक शक्तिशाली डेटा विज़ुअलाइज़ेशन टूल है जिसका उपयोग रिपोर्टों और डैशबोर्ड में किया जा सकता है।

लर्निंग पाथ

डेटा विश्लेषक में Power BI

4.7+
192 समीक्षाएँ
50 घंटे
Microsoft के साथ सह-निर्मित—PL-300 Data Analyst प्रमाणन के लिए डेटा तैयार करने, मॉडल करने और विज़ुअलाइज़ करने हेतु आवश्यक Power BI कौशल प्राप्त करें।

निश्चित नहीं कि कहां से शुरू करें?

मूल्यांकन लें

Data Visualization पाठ्यक्रम और ट्रैक ब्राउज़ करें

कोर्स

Case Study: Ecommerce Analysis in Power BI

मध्यमकौशल स्तर
4.8+
199 समीक्षाएँ
4 घंटे
In ecommerce, increasing sales and reducing costs are key. Analyze data from an online pet supply company using Power BI.

कोर्स

Case Study: Analyzing Healthcare Data in Power BI

मध्यमकौशल स्तर
4.8+
267 समीक्षाएँ
4 घंटे
Practice Power BI with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.

कोर्स

Baseball Data Visualization in Power BI

बुनियादीकौशल स्तर
4.8+
183 समीक्षाएँ
1 घंटे
Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.

कोर्स

Case Study: Supply Chain Analytics in Power BI

बुनियादीकौशल स्तर
4.8+
176 समीक्षाएँ
4 घंटे
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.

कोर्स

Visualization Best Practices in R

बुनियादीकौशल स्तर
4.8+
302 समीक्षाएँ
1 घंटे
Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.

कोर्स

Case Study: Inventory Analysis in Power BI

मध्यमकौशल स्तर
4.7+
165 समीक्षाएँ
5 घंटे
This Power BI case study follows a real-world business use case on tackling inventory analysis using DAX and visualizations.

कोर्स

Time Series Analysis in Power BI

मध्यमकौशल स्तर
4.8+
255 समीक्षाएँ
5 घंटे
Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.

कोर्स

Case Study: Competitor Sales Analysis in Power BI

मध्यमकौशल स्तर
4.7+
151 समीक्षाएँ
4 घंटे
This Power BI case study follows a real-world business use case where you will apply the concepts of ETL and visualization.

कोर्स

Communicating with Data in the Tidyverse

बुनियादीकौशल स्तर
4.8+
193 समीक्षाएँ
4 घंटे
Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.

कोर्स

Time Series Analysis in Tableau

मध्यमकौशल स्तर
4.7+
153 समीक्षाएँ
2 घंटे
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.

कोर्स

Interactive Maps with leaflet in R

बुनियादीकौशल स्तर
4.7+
92 समीक्षाएँ
4 घंटे
Learn how to produce interactive web maps with ease using leaflet.

कोर्स

Visualizing Geospatial Data in R

मध्यमकौशल स्तर
4.5+
86 समीक्षाएँ
4 घंटे
Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.

कोर्स

Data Visualization in KNIME

बुनियादीकौशल स्तर
4.8+
198 समीक्षाएँ
2 घंटे
Learn to create compelling data visualizations with KNIME, covering charts, components, and dashboards.

कोर्स

Case Study: Ecommerce Analysis in Tableau

मध्यमकौशल स्तर
4.7+
62 समीक्षाएँ
3 घंटे
In ecommerce, increasing sales and reducing expenses are top priorities. In this case study, youll investigate data from an online pet supply company.

कोर्स

Interactive Data Visualization with plotly in R

बुनियादीकौशल स्तर
4.8+
80 समीक्षाएँ
4 घंटे
Learn how to use plotly in R to create interactive data visualizations to enhance your data storytelling.

कोर्स

Case Study: HR Analytics in Tableau

मध्यमकौशल स्तर
4.8+
69 समीक्षाएँ
3 घंटे
Explore HR data analysis in Tableau with this case study.

कोर्स

Case Study: Supply Chain Analytics in Tableau

मध्यमकौशल स्तर
4.7+
67 समीक्षाएँ
4 घंटे
Dive into our Tableau case study on supply chain analytics. Tackle shipment, inventory management, and dashboard creation to drive business improvements.

कोर्स

Case Study: Inventory Analysis in Tableau

मध्यमकौशल स्तर
4.7+
57 समीक्षाएँ
2 घंटे
Enhance your Tableau skills with this case study on inventory analysis. Analyze a dataset, create calculated fields, and create visualizations.

कोर्स

Case Study: Analyzing Healthcare Data in Tableau

मध्यमकौशल स्तर
4.7+
65 समीक्षाएँ
3 घंटे
Practice Tableau with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.

कोर्स

Interactive Data Visualization with Bokeh

मध्यमकौशल स्तर
4.7+
41 समीक्षाएँ
4 घंटे
Learn how to create interactive data visualizations, including building and connecting widgets using Bokeh!

कोर्स

Introduction to Data Visualization with Julia

मध्यमकौशल स्तर
4.7+
29 समीक्षाएँ
4 घंटे
Master data visualization in Julia. Learn how to make stunning plots while understanding when and how to use them.

कोर्स

Visualizing Big Data with Trelliscope in R

बुनियादीकौशल स्तर
4.7+
40 समीक्षाएँ
4 घंटे
Learn how to visualize big data in R using ggplot2 and trelliscopejs.

Data Visualization पर संबंधित संसाधन

ब्लॉग

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 मि॰

चीट शीट

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 मि॰

ट्यूटोरियल

Visualizing Data in Excel: A Complete How-To Guide

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

Jess Ahmet

12 मि॰

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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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