by Anika D | Mar 24, 2022 | Data Science, Emerging Technology
The main role of data scientists is to identify issues and use the employee’s data for creating better solutions. Also, they are responsible for constructing algorithms, designing experiments, and extracting and managing data to support coworkers and customers. However, if you want to become a data scientist, you need to possess additional skills apart from basic educational qualifications. These skills help you to do your job efficiently. Some of them are listed below:
Programming Knowledge
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Programming provides you with a medium to communicate with different machines. Though you don’t need to become an expert in programming, you should have basic knowledge. First, pick the programming language as per your interest and caliber—for instance, R, Python, and Julia. “Python,” a general-purpose programming language, has several data science libraries with rapid prototyping. In contrast, you can use the R language to analyze and visualize statistics. Julia provides the best in both languages and is much faster.
Knowledge of Analytical Tools
A data scientist should properly understand some analytical tools like SAS, Spark, Hadoop, Hive, R, and Pig. These tools help you to extract valuable information from the data set. In addition, you can establish your expertise in such analytical tools by doing certifications.
Effective Communication
Companies that hire data scientists look for people who can clearly translate the technical conclusions to all team members. In addition, they should effectively communicate with people from different backgrounds. It helps them to strengthen their relationship and improve productivity.
Problem Solving by Critical Thinking
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Data scientists will often have to determine insights into different problems independently. So, problem-solving with critical thinking is the basic key. In addition, it is essential to remember that the right questions can significantly impact the firm’s bottom line. Therefore, all analyses you do are not worth your time. You need to have critical thinking skills to tell the main differences.
Intellectual Curiosity
Data scientists should have a deep curiosity to solve all problems and find solutions. So, they should understand what data represents and how to use the information on a broader scale. There is always something to learn and improve on. Therefore, update your knowledge regularly by reading good books, data science trends, and online content. It can keep you updated and ensure the usage of the right role practices.
Business Strategy for Data Scientists
Data scientists should be able to make a proper business strategy by properly understanding the business and conducting problems analyses. In addition, it enables them to construct their infrastructure by data dicing and slicing with the latest technology to improve the scientific instruments and work.
SQL Knowledge
Regardless of whatever language you learn, you must know SQL. It is a specialized programming language used to request or filter the information from the database. Data scientists need to learn SQL because most companies store their crucial data in the SQL database.
Final Words
Every company has its data that needs proper analysis and monitoring. Therefore, data scientists are highly in demand. You must possess the skills mentioned above to flourish in this role. It will help you in your career elevation and work to the best of your potential.
by Anika D | Mar 4, 2022 | Data Science, Emerging Technology, Industrial IoT, System Engineering
The physicists of the University of Western Australia collaborate with a team of international researchers. They together developed a new technology to improve the world’s one of the most sensitive instruments called “Gravitational Wave Detectors.” This new technology allows existing gravitational wave detectors worldwide to attain sensitivity. Previously, researchers thought they could only achieve it by constructing much bigger detectors.
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The ARC centers of excellence for Gravitational Wave Discovery and engineered quantum systems collaborated to publish the paper in Communications Physics. The California Institute of Technology in Pasadena and the Niels Bohr Institute in Copenhagen supported them in this study.
David Blair is a retired professor of UWA’s Department of Physics. He states that particles of sound vibration called phonons and photons of laser light merge with the help of technology. As a result, they create a new amplification type that consists of merged particles that cycle back and forth billions of times.
Einstein already proved that light comes in little energy packets. According to professor Blair, these energy packets are now called photons. Gravitational-wave detectors are one of the most sophisticated applications of these photons. So, it enables physicists to notice the time and space’s ripples originated by cosmic collisions.
After two years of discovering light’s energy packets, Einsteins stated that sound and heat waves also come in energy packets. Professor Blair named these sound and heat energy packets as Phonons. However, it is tricky to harness the phonons individually in quantum form. It is because random phonons known as thermal backgrounds usually flood them.
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In 2020, professor Blair got the prestigious Prime Minister’s Prize for Science. He received it for his significant contribution to the first discovery of gravitational waves.
Dr. Michael Page, the lead author, stated that the strategy combined photons with phonons. As a result, gravitational wave frequencies can amplify. He also said that the latest breakthrough would allow physicists to see the extreme and concentrated matter in the universe. It collapses into the black hole when two neutron stars collide with each other.
On the other hand, professor David Blair stated that waveforms sounded similar to a brief scream. They pitched to the top for detectors to hear. The technology will surely make these waveforms audible. It will also tell if neutrons in neutron stars split up into the constituents known as quarks once they are in an extreme state.
Do you know the fascinating thing regarding nuclear matter spinning into a black hole? It is exciting that the method is like a reverse of the Big Bang theory created in the universe. So, when you observe it happening there, you will feel like you are watching a Big Bang movie.
Professor Blair stated that the latest technology may not represent a quick solution to improve gravitational-wave detectors. But it provides a low-cost improvement route.
To Sum Up
Gravitational waves travel at the speed of light. Therefore, detecting the gravitational waves allows you to see the universe in a way you have never seen before. LIGO can help detect the cosmic gravitational waves and make gravitational-wave observations.
by Anika D | Jun 10, 2021 | Air Quality, Data Science
A professor at the Harvard T.H. Chan School of Public Health Dominici presents the Henry W. Kendall Memorial Lecture at MIT. She reveals how leveraging huge amounts of data in the United States affects air pollution levels on human health.
For providing a data-driven foundation, their efforts are critical to building environmental regulations as well as human health policy. But they say that the results will be excellent when they use data science and evidence to notify policy.
How Data Science to Gather Air Pollution Insights
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In the past 20 years, air pollution is dramatically dropping in nationwide. Dominici says on average, we all are breathing clean air. But some research also shows that even with relatively low air pollution levels, it may be harmful to health.
In addition, current patterns of diminishing air pollution left some geographic areas worse off than others. In the various studies, Dominici hone on some specific type of harmful air pollution called fine particulate matter.
These tiny particles are less than 2.5 microns in width. They come from multiple sources like industrial facilities that burn fossil fuel and vehicle emissions.
These particulate matters can go in very deep into the lungs and then get into your blood. Further, it can lead to cardiovascular disease, systemic inflammation, and a weak immune system.
To examine the risk PM2.5 poses on human health, Dominici made data about people and the environment they experience. One dataset provides information for more than 60 million Americans who sign up for Medicare. It includes not only their health history but also other factors, including Zip code and socioeconomic status.
On the other side, a team of Joel Schwartz, who is a professor of environmental epidemiology, combines satellite data on weather. This data also includes air pollution, land use and unite them with air quality data from the EPA’s national network.
This helps them to create a model that offers a daily level of PM2.5 for every square kilometer. In this way, they can assign people’s daily exposure to PM2.5 who registers themselves in the Medicare system.
For acquiescing several findings, it is vital to combine and analyze these datasets. On the basis of present NAAQS for PM2.5, levels which are less than 12 micrograms per cubic meter are safe.
Final Words
Dominici’s team also says that even levels less than standard may possess a higher risk of death. Further, they say by reducing the standard to 10 micrograms per cubic meter, the air quality becomes more rigorous. It will help to save approximately 140,000 lives over a decade.
During the Covid-19 pandemic, problems regarding both environmental injustice and air pollution are at harsh relief. They also say that how long-term exposure increases the risk of dying from Covid-19.
Data scientist is the best way to find all those factors that are influencing serious environmental policy decisions. Moreover, this pandemic can also provide an additional source to control emissions regarding fossil fuels. In this way, scientists are using data science to gather air pollution insights.
by Anika D | May 19, 2021 | Data Science, Emerging Technology, General
When you hear term healthcare, you may think about medicines, hospitals, doctors, and many other related options. But, in the last ten to fifteen years, the healthcare industry has changed tremendously and has entered in the era of digital health. Now, the digitalization has put a positive impact on technology in healthcare.
Artificial intelligence (AI)-enabled medical devices, telemedicine, and blockchain electronic health are just a few examples of digital transformation in healthcare. The dependency on health apps has been increased since the starting of the pandemic in 2020.
Further, in this time, many healthcare startups are growing and producing something innovative every day for people. According to CB Insights data, in the third quarter of 2020, this AI healthcare startup has raised more than $2 billion.
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Here is the list of some healthcare startups that are transforming the healthcare industry with digital health in 2021.
Fisher Wallace Laboratories
As more and more people are suffering from depression and anxiety, clinicians struggled to meet the demand for mental health services. This is where Fisher Wallace Laboratories has created a unique solution for those with little or no access to therapy sessions or prescription drugs.
The startup has created a cranial electrotherapy device for people suffering from depression and anxiety. It is the only transcranial device available on the market. They have shown promise in clinical trials for treating insomnia, depression, and anxiety. This 20-minute treatment activates the neurotransmitters, including dopamine, beta-endorphin, and serotonin, that helps in lowering the stress hormone cortisol.
HealX
HealX is the new startup that is working on expediting treatments for sporadic (rare) diseases. Their product was awarded as the best AI product in health and extraordinary success in social use of AI in 2020. Their Rare Treatment Accelerator (RTA) program builds a bond between patients suffering from some rare diseases.
The accelerator they created helps discover new as well as effective treatments for patients. Further, the team of HealX includes AI experts, bioinformaticians, and next-generation drug hunters. In October 2019, it raised about $56 million.
Alector
This healthcare startup is working for the cure of neurodegeneration with immuno-neurology. With 40 novel targets and 4 programs, Alector’s program works around the immune system of brain. It helps to combat diseases like Alzheimer’s and dementia. The medical startup raised around $176 million in 2019.
The clinical trial of Alector program related to frontotemporal dementia showed early positive signs. In the U.S and European Union, more than 170,000 people are suffering from this devastating disease.
Rally Health
It is another healthcare startup that is transforming the health care system. It provides personalized, data-driven health-related information while improving outcomes. People can monitor their health status, and can discover the right medical professional for them with Rally Health.
Its platform includes both self-learning and interventions to prevent chronic diseases.
Final Words
The demand for digital health startups is increasing. With technology changing every day and investors opening their doors for heath startups, the foundation will take us into a new era for healthcare and digital health.
by Anika D | May 14, 2021 | Data Science
Why do think data science jobs have increased by 50% in the USA. Well, this century is all about freelance data scientists. The company that has the maximum data, is eventually a market leader.
This has called out for all data scientists out there. Data scientists are the no. 1 most promising job in America for 2021.
You will be surprised to know that remote data scientists jobs have a median base salary of $130,000. The job openings have increased by 56% as compared to the last year.
Pandemic and Data Scientists
Data scientists have helped businesses intensely improve the efficiency of processes and operations to meet shifting online workforce needs with the help of big data, cloud computing, machine learning, and more advanced Artificial Intelligence (AI) applications.
Amplified demand has allowed data scientists the chance to drive huge advances in client data management, Robotic Process Automation (RPA), cybersecurity, finance, healthcare, manufacturing, logistical supply chain AI, retail, workplace communication, and e-commerce.
These fields will certainly endure needing data science talent in 2021 and beyond. The data scientists will help the firms upsurge their capacity for big data. This way they can make sense of newly digitized business models and digital revenue openings. With even knowledge-based jobs like lawyers and accountants being automated, will Data Scientists appear to be an exception.
Want to be a freelance data scientist?
With every day rising data science jobs, it is no wonder data science was named “sexiest job of the 21st century” by Harvard Business Review. Certainly, it will evolve with the ever-changing needs of the digital landscape. The field of data science aims to power its reputation for years to come.
Talented and enthusiastic data-savvy statisticians, can work remotely or as freelancers and expect a lucrative career.
by Anika D | Feb 24, 2021 | Cybersecurity, Data Science
While many sectors including manufacturing are using AI and modern technologies, many healthcare facilities are still unsure. Mostly because the large data collection makes them easy targets and the past records.
For instance, February of 2020 alone marked 39 data breach cases in healthcare. More than 1531,855 records got exposed.
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So the government has strict codes for the healthcare sector. They have to follow it to avoid legal conflicts and ensure users’ security.
Here’s a little detail about the risk this sector faces and the tricks it’s following to prevent the breaches.
Risks
There are multiple risk possibilities in using high-end and automated technologies including cloud storage in healthcare. The most common of them is the data breach risks.
Since the system connects with the internet and uses it to store, manage and access the data, it’s vulnerable to cybercrimes. If anyone gets access to the data, they will have access to every confidential detail of the patients. It can also compromise data about the finances of the firm.
Another risk in this sector is an indirect or direct release of details. While it’s a rare scenario. There are cases where a private organization sold/released their user data.
Cracking Data Privacy Code
The data privacy code states that any personal data that a person including a staff member shares with healthcare is confidential. The healthcare center and anyone connected with it has to ensure its safety.
The following are some tricks and measures that the healthcare sector is currently using for this part.
Secure Access
Every system connected with healthcare needs a proper credential to access the information. Some facilities also use dual check and timed login features for this part. The online database also used firewalls and sometimes data science firms to detect system anomalies.
Encryption
Converting the data into a different form is common for most websites. The healthcare facilities assign a cipher key to every entry and save it as a hex code. This way, even if someone gets the hacks, all they see will be codes. The cipher key further ensures that the methods like brute force or guessing don’t work.
Sophisticated Security Checks
Even with precautions, there are always possibilities of hacks and patches. So, healthcare facilities often interact with data science and automation firms to introduce analytical applications in their system. These systems help use the network data and past data to predict unwanted activities on it. The data is helpful in finding system weaknesses and fixing them.
Controlled Third-Party Access
The healthcare centers get regular visits from a number of people, including general visitors, patients, maintenance workers, and vendors. Many like the maintenance worker may even need to use a computer at the center. So, it’s a common policy to lock the patient information.
Proper Disposal of Devices
The IOT based medical devices store data about their users and sometimes the staff member associated with them. Throwing it without wiping is a big risk, even if it’s broken or non-functional. Mostly, the healthcare centers have specified disposal for them. They are locked out of reach and then destroyed or wiped to extend that no one can recover data from them.
System Misuse
One of the most common causes of data breaches in Healthcare is system misuse. 71.7% times it’s the LAN accessed system that causes the data breach. Training staff members and restricting the use of any external storage device is one way to prevent this issue. Restricting non-trusty websites and monitoring systems is also effective.
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Final Words
Data privacy code is essential to ensure that everyone associated with the healthcare sector gets security. The hospitals are taking strict measures to ensure their compliance with these codes. This combined with other technologies like 5G is sure to revolutionize the industry.
