Data analytics

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Free Guide: 5 Data Science Tools to Consider

With the right data science tools, you can gain powerful insight out of the ever-growing pools of corporate data. Learn why data science experts are using Python, R, Jupyter Notebook, Tableau, and Keras.

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Data analytics News

October 16, 2020 16 Oct'20
Data literacy skills key to cost savings, revenue growth

As organizations develop data-driven cultures, they need to implement programs to teach employees how to work with and make decisions based on high-quality data.
October 15, 2020 15 Oct'20
Yellowfin 9.3 features embedded app development upgrades

New application programming interfaces to help app designers build embedded BI apps are among more than 25 new features in the latest update of the Yellowfin analytics platform.
October 14, 2020 14 Oct'20
Idera targets cloud data lake market with Qubole acquisition

Qubole joins the Idera Inc. group of software companies, bringing data pipeline capabilities into the group to target customers that need more cloud data storage.
October 13, 2020 13 Oct'20
Looker adds mobile app, developer tools to analytics suite

While Looker revealed no new integrations with Google, a mobile app and additional tools for developers highlight the new features the BI vendor unveiled during its virtual user conference.

Data analytics Get Started

Bring yourself up to speed with our introductory content

edge analytics

Edge analytics is an approach to data collection and analysis in which an automated analytical computation is performed on data at a sensor, network switch or other device instead of waiting for the data to be sent back to a centralized data store. Continue Reading
predictive analytics

Predictive analytics is a form of advanced analytics that uses both new and historical data to forecast activity, behavior and trends. Continue Reading
text mining (text analytics)

Text mining is the process of exploring and analyzing large amounts of unstructured text data aided by software that can identify concepts, patterns, topics, keywords and other attributes in the data. Continue Reading

Evaluate Data analytics Vendors & Products

Weigh the pros and cons of technologies, products and projects you are considering.

Enterprise analytics benefits of natural language processing

As more analytics vendors adopt natural language tools, enterprises may want to think about the benefit the technology provides to their analytics abilities. Continue Reading
Emotions analytics helps Hotels.com connect with customers

While traveling has been halted for most of us, marketing efforts in hospitality still go on, and one way to sharpen those efforts is building an emotional connection -- with data. Continue Reading
Certificates important to the data science learning path

While data science certificates have value in the professional world, candidates must make them a piece of a larger drive for technical mastery and continued education. Continue Reading

Manage Data analytics

Learn to apply best practices and optimize your operations.

How predictive and prescriptive analytics impact the bottom line

With all the data organizations collect now, they need a good way to analyze it, and that's where predictive and prescriptive analytics can be useful. Continue Reading
Top 5 predictive analytics use cases in enterprises

From marketing to healthcare, looking at past data can be beneficial to forecasting future trends. Read on to understand the most popular use cases for predictive analytics today. Continue Reading
Machine learning and bias concerns weigh on data scientists

Data scientists are forever vigilant in their desire to identify and eliminate the many forms of bias that can compromise the credibility of machine learning models. Continue Reading

Problem Solve Data analytics Issues

We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.

Data science's ongoing battle to quell bias in machine learning

Machine learning expert Ben Cox of H2O.ai discusses the problem of bias in predictive models that confronts data scientists daily and his techniques to identify and neutralize it. Continue Reading
Overcoming the top 3 analytics adoption challenges

Analytics is a growing part of many businesses. Experts talk about some of the most pressing challenges enterprises may face when implementing new analytics strategies. Continue Reading
COVID-19 data resources for volunteering data scientists

Many data scientist are looking to research the novel coronavirus and ways to fight the continued outbreak. Read on for the top COVID-19 data resources for volunteer researchers. Continue Reading