Topics: General Medical, Drug Safety, Data Analysis, clinical trial courses, Pharmacovigilance, Data Science, Clinical Trail Management, Clinical Research, careers, career advice, bachelor degree, ISA, Tuition
Welcome to Sollers College. Yes, we are located in a mall. We know what you may be thinking, “A mall? Isn’t that weird?” We prefer to use the adjectives such as ‘convenient’ and ‘innovative’. Being located in the Menlo Park Mall, allows us to fit perfectly into the busy, day-to-day hustle that is your life. People often avoid going back to school or continuing their education because they believe they do not have the time. They believe they simply cannot fit it into their lives. However, you may be surprised why Sollers College is an ideal location to fit any lifestyle.
Graduate career prospects are at the heart of US education, with teaching increasingly informed by what is going on in the rapidly-changing world around us. With digital technologies transforming the education landscape, getting advanced degrees - whether online or offline - has become more prevalent and in some cases, necessary, due to the tightened and competitive job market. The varied range of options in learning format, specialisations and majors and institutions, can in fact be mind-boggling.
Terms like “Analytics” and “Data Science” have become buzz-words these days. Everyone wants to know about the next big trend in data, as well as how they can get involved – and who can blame them? Earlier this year Glassdoor published an article highlighting the 50 Best Jobs in America, according to the job openings that it sees. Data Science was on the top of the list. Also on that list were titles including Analytics Manager, Data Analyst, Data Engineer, and Business Analyst. So, clearly jobs dealing with data are in high-demand.
The global impact of data across academia and industry has given rise to multi-disciplinary professionals eager to gain necessary skills to make data-backed decisions. For healthcare and clinical research fields, the need for statistical and computational resources is even greater. No wonder then, that careers in clinical biostatistics and SAS programming are expected to grow by 20%, according to the US Bureau of Labor Statistics.
The exponential growth of volume and variety of data generated today present unprecedented challenges as well as opportunities for organisations. Companies are now relying on technologies like text analysis and Natural Language Processing and text analysis for making sense of such massively collected data.
Data science is the study of collecting, processing and extracting value from big and diverse data sets. It enables the scientists to create data-driven solutions to boost profits, reduce costs and make solutions to various problems.
Data cleaning is an important part of data analysis. This is done to eliminate, modify, or restore data depending on its state. Data that is corrupt or redundant apart from duplicate files is removed. Inaccurate data is identified and sorted. Incomplete data is marked and modified. Back up of data is taken before cleaning it to prevent loss of information.