Top 9 Data Science Use Cases in Analytics

Data science and analytics are growing in their popularity and range of applications in the modern world. Data science deals with answering questions and uncovering hidden insights, while analytics is rather concentrated on the processing itself and conducting of statistical analysis of data sets.  
Right at the moment, when we open our browsers the metrics starts being generated.

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Tiger Pistol Furthers Investments, Outlines Goals for Data and Analytics

Focus on Surfacing Unique Customer Insights and Building New Features Around Data Science Backed Recommendations
To align with its efforts to better collect, present, and utilize data to show the real value of social advertising, Tiger Pistol, the only social advertising platform that delivers local activation at global scale, recently announced a series of data engineering hires to accelerate the

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SCORR Marketing Releases 7th Annual Report on Life Science Industry Marketing Trends

SCORR Marketing, a global health science marketing and communications firm, has released its seventh annual survey on marketing trends in the life sciences industry. This free, 30-plus-page report delivers evidence that marketers can use to drive strategic planning, budgeting, and brand development decisions in 2020.

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4 Data Science Conferences to Attend in Asia

Previously, I’ve written posts about 2019 and 2020 data science conferences to attend. Researching for both of those posts have given me a fair amount of knowledge on conferences happening in different regions around the world. In this article, I’m going to cover 5 data science conferences in Asia that you should consider attending in 2020.

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5 Data Science Conferences to Attend in Asia

Previously, I’ve written posts about 2019 and 2020 data science conferences to attend. Researching for both of those posts have given me a fair amount of knowledge on conferences happening in different regions around the world. In this article, I’m going to cover 5 data science conferences in Asia that you should consider attending in 2020.

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Predictive Tourism: The Merger Of Big Data In Travel Industry

Data science has shifted the existing ether bringing in new marvelous opportunities to many industries. In line with these immense possibilities, comes rapid changes and challenges. And in this case, the travel and tourism industry is no exception here.
Travel industry may not be the first to inculcate emerging technology for its benefit, but it sure is benefiting from it now.

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Data science is now recognized as the key to bridging the gap between tech and business within the corporate governance of companies

Data science has become an integral part of any enterprise because it solves problems. Companies can forecast the success rate of their strategies and, ultimately, manage operations more efficiently. At present, firms are data-rich. This means that they have a great deal of data that enables them to gain insight through proper analysis.

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Treasure for Data Science blogs (A to Z)

This blog will help you in knowledge hunt of Data science. The below given list will help you to find the blogs that talk about Data science easily. I hope you will find this useful. A Blog From a Human-engineer-being http://www.erogol.com/  Aakash Japi http://aakashjapi.com/  Adit Deshpande https://adeshpande3.github.io/  Advanced Analytics & R http://advanceddataanalytics.

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Take a Look Inside Our Introductory UW Data Science Course

 
“What are the UW Data Science master’s program courses like?”
We often receive this question from prospective students. So, we created this post to give you an inside look at the first data science course in the curriculum, “DS 700: Foundations of Data Science”—and to answer some of the questions that may be on your mind.

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Working with Control Breaks Data in R.

About a year ago, a young neighbor who’s enrolled in an MS is Data Science program asked my help on an R coding exercise. The challenge was to compute several new category attributes based on columns in an initially loaded dataframe. His solution was to loop through each of the df rows, populating the new vars with basic if/then logic.

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Basic Statistics in R

My latest publicly available R notebook created in IBM’s Data Science Experience is here!  This notebook provides a tutorial on:This notebook covers:Descriptive statisticsFrequency and contingency tablesCorrelations and covariancest-tests; andNonparametric statistics.I hope you enjoy this notebook.  Please feel free to share and let me know your thoughts.

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