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4 Top Online Resources for Data Analytics

Alliant International University
Published 06/22/2018
3 minutes read
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If you are interested in learning more about data analytics, you are not alone. Analyzing data to identify patterns and come to conclusions can be incredibly useful. Researchers and businesses are finding that data analytics helps them achieve feats that would not have been possible before—all thanks to improvements in the technologies that allow us to analyze mountains of data quickly and efficiently.

As awesome as data analytics can be, the topic is much like all other topics on the internet—there are so many sources of information that it can be hard to know which ones are worth your time. Fortunately, you do not have to figure it all out yourself. We have collected 4 top resources that we think deliver the most benefit for your time.

1. Analytics Vidhya

At Analytics Vidhya, you will find a community that includes all the key players in the world of analytics, including corporations, data practitioners, and thought leaders. The community includes over 150,000 data scientists. The site offers numerous learning resources, hosts hackathons and more1.

2. Simply Statistics

Simply Statistics is a statistics blog created by thought leaders Rafa Irizarry, Roger Peng, and Jeff Leek2. Here you will find posts about all things data science, including links to inspiring articles, courses in analytics, and interviews with data scientists. The topics can vary widely, but every post will help you discover new things about data analytics and round out your education on the subject.

3. KNIME

KNIME is a software company based out of Zurich that creates tools for advanced data science applications. In addition to developing some of the most robust data analytics software out there, KNIME also maintains a blog, sends out a newsletter, and contributes to the data science community in other ways3.

4. RapidMiner

At RapidMiner, you will discover several valuable tools for data science. RapidMinder is a platform designed for analytics teams and includes the necessary tools to tackle all stages of analysis, including preparing data, building predictive models, and deploying those models4. Whether you need a simple visual workflow tool for your own work, or a server for teamwork, you can find what you need here.

Interested in learning more about data analytics? The California School of Management & Leadership at Alliant offers a Master’s in Data Analytics Degree Program. For more information, contact an Alliant admissions counselor.


Sources

  1. Learn Machine learning, artificial intelligence, business analytics, data science, big data, data visualizations tools and techniques." Analytics Vidhya, Accessed November 29, 2021. https://www.analyticsvidhya.com/
  2. Jeff Leek, Roger Peng, and Rafa Irizarry, "About this blog," Simply Statistics. Accessed November 29, 2021. https://simplystatistics.org/about.html
  3. KNIME, "About," Accessed November 29, 2021. https://www.knime.com/about
  4. RapidMiner, "Best Data Science & Machine Learning Platform," RapidMiner, November 09, 2021. Accessed November 29, 2021. https://rapidminer.com/

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