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School Name: Boston University
School POC: Career Services
Boston University Webpage

  

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School Name: Curry College
School POC: Career Services
Curry College Webpage

  

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School Name: Northeastern University
School POC: Career Services
Northeastern University Webpage

  

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School Name: Westfield State University
School POC: Career Services
Westfield State University Webpage

  

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School Name: University of Massachusetts Amherst
School POC: Career Services
University of Massachusetts Amherst Webpage

  

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School Name: Harvard University
School POC: Career Services
Harvard University Webpage

  

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Term Of The Day: Throughput
WHAT IS THROUGHPUT? Throughput is the rate data is processed and transferred from one location to another. In networking, it’s used to measure the performance—meaning speed—of hard drives and RAM along with internet and network connections. Throughput is measured in bits per second or data per second. A hard drive that has a maximum transfer rate of 200 Mbps has twice the throughput of a hard drive with a transfer rate of 100 Mbps. A 60 Mbps wireless connection has three times as much throughput as a 20 Mbps wireless connection. The maximum throughput of a device or network may be significantly higher than the actual throughput achieved in daily use due to contributing factors such as internet connection speed and other network traffic. Generally, the realistic operational throughput is approximately 95 percent of maximum throughput. In manufacturing, the term is used in the context of a company’s rate of production, or the speed at which an item is processed from beginning to end. A business with a higher throughput level can take market share away from a business with a lower throughput level, since a higher throughput generally indicates more efficient product production. Also read: What is Bandwidth? NETWORK THROUGHPUT WIthin networking, throughput was originally conceived to evaluate the productivity of computer processors. This was calculated in terms of batch jobs, or millions of instructions per second. Throughput measures how many packets arrive at their destination successfully. How fast packets or units of data travel from source to destination or from sender to recipient determines how much information can be sent within a given timeframe. For example, if a packet with a size of 100 bytes takes one second to flow from Computer A to Computer B, the throughput between the two devices is 800 bps. One byte is equal to eight bits, so 100 bytes is 800 bits, resulting in a calculation of 800 bits per second. Packet arrival is key to high performance within a network. Packets lost in transit leads to poor or slow network performance. Slow network performance leads to slow speed within applications, meaning users experience latency. Using throughput to measure network speed roots out the exact cause of a slow network, such as packet loss, and alerts administrators to specific problems. Packet loss, latency, and jitters are all related to slow throughput speed. To increase throughput speed and overall data performance, these factors must be minimized.






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A: A data analyst reviews data to identify key insights into a business's customers and ways the data can be used to solve problems. They also communicate this information to company leadership and other stakeholders.

A: Predictive data analytics
Prescriptive data analytics
Diagnostic data analytics
Descriptive data analytics


A: Data analytics is a fast-growing field and it will continue to grow over the next decade. The U.S. Bureau of Labor Statistics (BLS) estimates 22% growth through 2030, which is considered much faster than average.

A: A simple example of Data analysis is whenever we take any decision in our day-to-day life is by thinking about what happened last time or what will happen by choosing that particular decision. This is nothing but analyzing our past or future and making decisions based on it.

A: The national average salary for data analysts is $67,196 per year . If you're looking for a high-paying job in data analytics, it can be helpful to learn about some careers that earn more than the average. Here are 11 high-paying data analytics jobs for you to consider.

A: While data analysts should have a foundational knowledge of statistics and mathematics, much of their work can be done without complex mathematics. Generally, though, data analysts should have a grasp of statistics, linear algebra, and calculus.

A: As with any scientific career, data analysts require a strong grounding in mathematics to succeed. It may be necessary to review and, if necessary, improve your math skills before learning how to become a data analyst.

A: Several data professionals have defined data analytics as a stressful career. So, if you are someone planning on taking up data analytics and science as a career, it is high time that you rethink and make an informed decision.

A: Some Data Analysts do have to code as part of their day-to-day work, but coding skills are not typically required for jobs in data analysis.

A: Learn data analytics fundamentals.
Work on projects to develop your practical data analytics skills.
Develop visualizations and practice presenting them.
Develop a Data Analyst portfolio to showcase your work.
Apply to relevant data analyst jobs.








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