About Sollers

Sollers is a graduate school located in New Jersey, specializing in clinical research, drug safety and pharmacovigilance training.

Our graduate certificate and masters programs cover a wide range of subjects tailored to this fast growing industry, and our graduates go on to highly successful careers in the pharmaceuticals industry and healthcare industries.

  • HOURS
  • Monday - Thursday | 10 AM - 7 PM
  • Friday | 12 PM - Midnight
  • Saturday | 12 PM - Midnight
  • Sunday | Closed
  • OPEN 24/7 - sollers.edu
    • PHONE
    • (848) 299-5900
    • Location
    • 100 Menlo Park, Suite 550
      Edison New Jersey 08837 -2488

Location

Call Us Now: 848 299-5900

Sollers Blog

Methods of Big data Preprocessing

Posted by Phil on Aug 11, 2017 1:11:36 PM

The presence of data preprocessing methods for data mining has been reviewed over the past few years with a lot of high volumes, velocity, and a variety of data that require a new high-performance processing. A large computational infrastructure in big data along with a challenging and time-demanding task is involved to ensure successful data processing and analysis. Approaches in big data comprise of definition, characteristics, and categorization of data preprocessing. There is a huge connection between big data and data preprocessing throughout all families of methods and big data technologies and everything will be examined including developments on different big data framework, such as Hadoop, Spark and Flink and the encouragement in devoting substantial research efforts in some families of data preprocessing methods and applications on new big data learning paradigms.

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Topics: Data Science

What is SAS Enterprise Guide?

Posted by Doctor Erick on Aug 3, 2017 12:39:28 PM

SAS Enterprise Guide is a point-and-click, menu and wizard-driven tool, which provides fast-track learning for quick data analysis, generates code for productivity and speeds your ability to deploy analyses and forecasts in real time.

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Topics: Data Science

List of Data Analysis Tools!

Posted by Phil on Aug 1, 2017 3:33:43 PM

Data analyses tools for different purposes are classified into various categories to facilitate finalization and visualization of data including social networks and to perform optimization. The tools also help to search efficient and relevant information besides solving numerous data analysis issues. Here are some of such potential data analyses tools.

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Topics: Data Science

Five Habits Of Successful Analysts

Posted by Phil on Jul 20, 2017 12:00:03 PM

Five habits of successful analysts are keeping a high bar on project delivery by walking that extra mile and delivering your best, the segment you can; triangulate numbers and think what do they mean for business, testing out your hypothesis even if you think they make complete business sense and learning something about analytics every day. Now let us see elaborately, what these five habits are.

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Topics: Data Science

Clustering Data Streams in Data Analytics

Posted by Doctor Erick on Jul 17, 2017 4:01:00 PM

The data stream models, with its ability to cater to numerous types of data, have been providing empirical evidence of streaming algorithms based on the performance of synthetic and real data streams. It is crucial to analyze such data provided its ability to process the data in a single pass, or a small number of passes with minimal usage of memory.  Clustering is a key data mining task. This is the problem of partitioning a set of observations into clusters such that the intra-cluster observations are similar and the inter-cluster observations are dissimilar.

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Topics: Data Science

5 Must read books on Data Visualization

Posted by Doctor Erick on Jul 11, 2017 12:46:50 PM

Data Visualization (DV), in simple terms, is the presentation of a data ornate with graphics, which looks aesthetic, when large amounts of data and complex statistics for the easy comprehension. DV is no doubt witnessing exponential growth. No matter whether you are an expert or a novice, a gamut of books are available to hone your skills. If you wonder how you need to know more about DV, all you need to do is to enter the Amazon book section, where you will find in excess of 15,000 items. Let us now see five must-read books on Data Visualization.

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Topics: Data Science

Data Integrity Risk and How to mitigate it

Posted by Phil on Jul 5, 2017 2:44:03 PM

FDA defines Data Integrity as data, which is complete, consistent and accurate. It further defines data integrity as data, which is -

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Topics: Data Science

5 Important Rules of Machine Learning

Posted by Doctor Dan on Jul 3, 2017 1:45:24 PM

Machine learning is a field of Data Analysis in which model building is automated. Algorithms learn from the data analyzed previously and improve the algorithm based on the findings. It is an application of artificial intelligence where computers (machines) learn from the analyzed data and adapt automatically. It is not a new technique, but it is attaining fresh momentum as big data and data analytics gain prominence.

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Topics: Data Science

Five Principles of Data Analytics

Posted by Doctor Dan on Jun 30, 2017 12:00:47 PM

Data analytics is the use of qualitative and quantitative techniques and processes to increase productivity for leveraging business gains for enterprises. It scrutinizes the collected data to analyses and identifies patterns to create unique solutions and software to address business challenges.

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Topics: Data Science

Technical Aspect of Data Mining

Posted by Phil on Jun 23, 2017 12:54:49 PM

Data Mining is a science of unearthing hidden patterns and relationships within your data to help you take better business decisions. It can help you in spotting sale trends, developing marketing campaigns or predicting customer churn. It has several applications in today’s business, which is required to deal with a large amount of data. Data mining requires a Data Warehouse as a source of data. Principles of data mining have been around for a while, but they have gained prominence with the advent of Big Data and Data Analytics.

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Topics: Data Science