We are pleased to announce that Pankaj Sharma, a core member of our data science faculty, has been appointed to the editorial boards of two of the most prestigious academic journals/platforms in the domain of data science, The International Journal of Data Science, and CODATA (Committee on Data of the International Council for Science (ICSU), Data Science Journal Scope.
Sollers Data Science Faculty Member Appointed to Academic Editorial Boards
Topics: Data Science
Financial Problems? Introducing a New Way to Secure Loans

Meritize Financial looks beyond traditional credit scores and instead considers academic data to provide students who might not otherwise qualify for a loan, with the ability to apply for and secure a student loan.
Credit approvals for loans chiefly rely on credit scores and, for students, the availability of a co-signer. Often, students just have not had the time to establish a credit history, making loan acquisition sometimes difficult. Meritize believes good students make good borrowers and loan recipients and provides them with ways to secure loans for their education. Even if your academic record isn’t perfect, Meritize will work with you to customize a loan that meets your specific needs.
A Meritize loan has some great benefits:
Uses Academic Data for Better Loan Options
Offers Expedited Approval Process
Can be Repaid Over 5 Years
Has No Prepayment Penalty
Can Cover Full Cost of Tuition
Provides Full In-School Deferment Option
Offers a 90-day Grace Period
We are excited about the value this partnership may provide to our students. If you’re interested in speaking to a career counselor about how you can take advantage of this, please fill out the form below and we’ll get in touch with you soon.
Topics: Data Science, Clinical Research
Medical advances, drug discovery, intelligent algorithms that increasingly predict our likes and probable choices – these factors are changing the ways we live. Data scientists and clinical research professionals are hence in high-demand as they are leading the charge in analyzing data to solve the world’s big issues, decipher health crises and improve drug efficacy faster than ever before.
One look at the US Department of Labor’s Bureau of Statistics and its
Topics: Data Science, Clinical Research, Drug Safety, Pharmacovigilance
Data science is witnessing exponential growth and there is humungous demand for skilled workforce across all types of industries. However, the top data scientists have some fundamental traits that set them apart from the crowd, say an InfoWorld report.
Topics: Data Science
Healthcare Data Science for Quality Improvement and Patient Safety
In order to reap the benefits of data, it calls for evolving an organization-wide data science strategy. What with many other segments such as banking has adopted Data Science, health care is an exception. With the absence of a data science strategy, healthcare firms find it difficult to handle the increasing volume of data. Also individual clinicians find it cumbersome to improve the safety, quality and efficiency of the care they provide. An effective data science strategy for health care organizations is therefore, the need of the hour, says, a catalyst.nejm.org report. Data Science has five key components.
Topics: Data Science
Natural Language Processing Market to touch $22.3 billion by 2025
Natural language processing (NLP) is a technology spawned from the need for machines to understand and communicate with humans in human language, not formal computer languages, says a company statement.
Topics: Data Science
Big data has made great inroads into a slew of industries. Healthcare, being one of the big and complex industries in the US, it is ideal for big data initiatives.
Topics: Data Science
Over the recent years, the data capture technology has influenced a large sector of business organizations in terms of novel approaches and seamless execution. Electronic clinical outcome assessments and Electronic patient report assessments follow methodologies that are appropriate for effective data capture mechanisms. Both of these technology-enabled methods project a comprehensive space into user's everyday lives for using their device-inclusive approach i.e. the data captured can be accessed from any internet connected device such as mobile phones, laptops, tablets, medical devices, and PCs.
Topics: Data Science
Tableau enables businesses to make decisions using the data visualization features available to business users of any background and Industry. It empowers businesses to keep up with the continuously evolving technology and outperform its competition through an innovative means of visualizing their data. There is not a single data source that Tableau fails to connect with. Let it be Data Warehouse, MS Excel or any web data, it establishes a connection with all of them. Basically, in any type of data analytics, Tableau provides an end to end insight by transforming data into visually engaging, interactive views in dashboards. With easy to use drag-and-drop interface one can come up with insights in few moments rather than months or years.
Topics: Data Science
Technology is changing the world at an unimaginable speed. It has been the greatest transformation tool in the modern world. From the age of Industrial revolution, the world has changed completely. Today, we cannot imagine our life without technology.
Topics: Data Science