Science fiction short story is a genre of short story with a plot that deal with science and the latest technology. Examples include those that talk about the latest technology inventions such as robots, spaceships, and back in time/future traveling. The plots are usually based on fictitious science principles that are not yet proven by the science experiments. This type of story is suitable for young people who are excited about learning and exploring new things. The following are six benefits of reading short stories in the science fiction genre.

1. Improve Grammar Skills

Reading science fiction stories allows people with poor grasp in English to improve their grammar skills. Speaking and writing in broken English is the result of not understanding how the structure of the English sentence work. Through regular reading, you will learn the correct way to write a proper English sentence. There are sci-fi stories at different reading difficulty levels. You can start from the one with easy reading difficulty level which has shorter length and then slowly progress to reading stories with harder reading difficulty that have longer length.

2. Expand Your English Vocabulary

As you read the science fiction story, you will come across words that you don’t understand. Every time you come across a difficult word, you should look up the dictionary and find out its meaning. If you didn’t purchase a dictionary, you can use the online dictionary to look up the meaning of the word. You can learn how to pronounce the new word properly by playing the audio for the pronunciation in the online dictionary. The more science fiction stories you read, the more wide your vocabulary will become.

3. Spend Your Free Time Meaningfully

Regularly reading sci-fi stories allows you to spend your spare time meaningfully. Many people like to spend their spare time doing things that do not improve themselves such as taking naps, and watching television. When you read a sci-fi story, you are learning something instead of wasting time doing things that will not benefit you. Every second of the time counts and you don’t want to let it slip away without doing anything useful that can improve yourself. Making full use of your time can help you to develop a discipline lifestyle.

4. Good Reading Habit

Besides, it can help you to develop a good reading habit. Many people don’t have good reading habits and they can’t find time to read a storybook. If you want to develop a good reading habit, you should set aside 30 minutes or so to read a storybook. Reading stories can give you knowledge about science discoveries that you don’t know about. Many people have difficulties in finishing reading a book. They would read a little from one storybook and then go on reading another storybook. If you read often, you will find that it becomes easier and easier for you to finish a book. If you don’t have a reading habit, you can start by reading one or two paragraphs each day. If you do this, you will slowly be able to read many chapters in a day.

5. Give You Something to Talk about in Conversation

If you read a lot of sci-fi stories, you will have things to talk to people in conversations. You may often find yourself getting stuck in the middle of a conversation and don’t know what to talk about when you meet new people. If you have nothing to talk about in conversations, people will find you boring. If you know a lot of stories, you can mention them to the new person you are talking to and this can sparks up the conversation. So, if you want to make a lot of new friends, you should try to read lots of stories. You can use excerpts from these stories to tell jokes or entertain your friends.

6. Improve Your Imagination

Another benefit is that it can improve your imagination and help you to become more creative. There are times when you find your imagination is not creative enough and you get stuck when you are coming up with some ideas for a creative project. As you read through the story plot, you will be able to imagine the plots in your mind vividly. By improving your imagination, you will be able to create better games, create more creative arts and write better stories of your own.

Conclusion

In conclusion, you will enjoy reading science fiction stories if you are fascinated about futuristic science. You can learn about scientific discoveries that are real as well as those that are made up by the author. It may also help you to deal with the stress you are facing. You can escape the problems in your present situation into a new fictitious world.

Science and technology is the best thing society could ever ask for. Since the industrial revolution in the 18th century science has been in progress. Some sectors that have been boosted by science and technology are energy, physical sciences, information and communication. The society has greatly gained with the invention of technology.

Infrastructure in the society has grown with the help of science and technology. Modes of transport like electronic railway lines were realized and these actually benefited the society by offering them a better means of transport. In the past, almost everything was analog but thanks to the science and technology we are now being digitalized by the day. The invention of the telephone and radio services has broadened human communication.

Without society then there would be no science and technology and that is why the invention of certain tools and equipment have helped achieve big things. Society can not do without the industries we have today. The society needs science and technology. The creation of computers is work of art by individuals was a milestone that would come a long way in helping the society. A computer helps us to leverage ourselves by gaining valuable information that we can use to enrich our lives. The impact of science and technology can seriously be recognized. Many people around the world take for example scholars in colleges and universities have taken the lead examining the relationship between science and technology.

The evaluation of this relationship has emerged as an important area of research. Public interest groups and academic organizations throughout the world are recognizing the importance of STS. The reason is that people need to recognize that there are people who are affected by the science and technology. Controversies such as modified foods, stem cell research are the issues that have brought policy makers and scientists together to have a way forward on this.

Science and technology has actually largely contributed to the vision of man about himself. Science has been modified the opinion about the origin of man and place of origin too. Through the results of scientific discoveries the perception of man about his behavior and his place of origin has been modified diversly. Experiments in science today are in one way or another affecting the society.Take for example the experiment on cloning a human being. The experiment brought a lot of controversy since the society was skeptical about it.

How is science and technology related to society: The developing world has a long tradition of participatory action research, popular education and community organization joining up to solve some science and technology issues that affect the society. How is science and technology related to the society is something that is calling even for the government intervention. Science and technology related issues are actually been discussed worldwide today. Progress in this has resulted to the ability to produce diverse types of material items. Answering the question how science and technology is related to society.

Data is a word that is pretty known to us. If we put it into correct words, it is a collection of information that can be translated into a form that can be processed by computers. Actually, there are two types of data, one that is human readable and the other that is machine readable. When it comes to data science, machine readable data is the one that we actually sought for. Machines help us process data and uncover things that cannot be seen by a human. It is actually more of an extended part of data analytics. It uses a lot of theories and techniques of statistics and other stuff to its use. All of these algorithms and processes are used to extract knowledge and insights of data. It actually helps companies and brands a lot in business related activities. With the use of data science, it actually helps these businesses to get close to the customers ensuring better engagement. It helps them in planning stuff and communicate things with the management over planning and administration.

Data scientist skills and applications

Data Scientist is actually a person who knows appropriate tools and processes of Data Science to make a data generate more value. His or her duties include creating various machine learning-based tools or normal techniques to get the validated output. One important skill set that a data scientist should know is the knowledge of appropriate programming techniques. R programming is very important for that since R is a standard language when it comes to data handling techniques. Also Hadoop is another important application for big data analytics that is used a lot in this sector. The technical skills are as important as the non-technical ones. The most important of the non-technical skills is communication for sure. Being a data scientist, it’s important to understand the client’s needs and then work on it. This would reduce time, energy and ultimately lots of money. Similarly, team work and other soft skills are important while working on a big project especially in data analytics.

Data Science and why it is interesting?

Now you may think why to choose data science as a career. The greatest thing about data science is the fact that it is almost present anywhere. For example, when you open your search engine it all works with efficient use of data science. Searching through your query and then getting exactly the needed result is a simple example of the magnitude of data science. The various sites that show you recommended systems or the digital ads that are so much based on what you see on the internet shows how efficient this data system has become. But still there are a lot of prospects for improvement in this sector. People are still looking to make the mining and processing states to be more streamlined and then there is always room for something new. A new algorithm, or a new way of processing, I mean it can be anything. It just needs interested people.

Science is an integral part of STEM learning that stands for Science, Technology, Engineering and Mathematic. STEM learning aims to promote a better understanding of these four disciplines in a more 'Whole'-istic way. In fact, a simple task like using a wagon to move something from one place to another involves number of principles of science, mathematics, engineering and technology. The children can be benefited by STEM learning especially if it is organized in form of science camps etc.

STEM learning aims to make science fun, enlightening and easy for kids. There are numerous hands on activities that can be done in the science camp that would follow the basic principles of STEM to make the learning impactful and long lasting. Researchers have proved that practicality helps learn faster. Going by that, STEM activities done in a science camp would be easily remembered and the principle behind those activities would be understood without difficulty.

As STEM activities are project based activities, it becomes easy for children to comprehend the principles of science, technology, engineering and mathematics in an easy going manner, especially if it is done under the guidance of teachers or facilitators of a science camp. There are many activities that can be done to create a base for understanding key concepts that would be required later on in life as well. Such as:

Heavy And Light
In a science camp, kids would be able to learn basic concept of heavy and light through STEM activities. As STEM requires everyday item, using glass, water and couple of oranges the concept of floating could be explained. Why heavy things go down the bottom of the glass and why light things float can also be explained.

Natural Phenomenon
Kids are curious and everything fascinates them. There are number of natural phenomenon that can be practically explained to them through STEM activities in a science camp.

Rain can also be demonstrated through some shaving foam, water and color. This activity would fascinate children and would also be a great learning experience for them. they can in fact learn the concept of how rain is formed, how clouds are formed and so much more, which is very fascinating.

Building From Scratch
As STEM activities require the kids to use concepts of all four disciplines, such activities in a science camp would be of extreme importance. Child would do measurements, procure things of which a particular thing can be constructed, and brain storm to decide about the size etc. all this would require considerable amount of knowledge of STEM concepts. Activities such as building a bridge from sticks or Lego blocks or straws or designing a race track would come under this.

Science Of Water
Water is kids' favorite. Period. There are number of activities designed around water, to make them understand various concepts of science.

Eg States of Water through science experiments kids' would understand all three forms of water ie gas, liquid and solid. How much temperature is required for it to turn into solid or gas, what are its properties etc. can be clarified through the experiments in a science camp.

Concept of Density can also be explained to them by using various liquids as plain water, dishwashing liquid, sugar syrup etc. This will make them learn a complex concept in a more comprehensive and understandable way.

Science can be made fun and educational for kids by using STEM learning. There are a lot of things a child learns in a science camp that would propel them towards practical understanding of concepts.

General Description

Our present era is truly the age of science. The wonders of science are in the peak in this era. Science has progressed by leaps and bounds. It has completely changed the man and brought tremendous revolutions in our lives. Science and technology has changed the man and his life style. It has transformed the very face of the earth. Human beings discovered great inventions and far-reaching discoveries through science. Science has blessed mankind with such instruments and have earned a name and reverence science.

Aim of Article

The wonders of science are too many to be counted, however, some of them are worth mentioning here. The entire growth and advancement of science is really a vast subject. Some of the renowned wonders, which provided direct good change in human lives will be discussed in the succeeding paragraphs.

Wonders of Science in Medical Sector

In the field of health and hygiene, science has created many wonder. Penicillin, streptomycin and other drugs have proved to be miraculous drugs. Many fatal and chronic diseases have been overcome by science. It has conquered death and diseases. These medicines has increased the life span of human beings. Plastic surgery is another important wonder of science which can transform an ugly woman into a beauty queen. X-rays can detect the defect inside the bodies of living beings.

Wonders of Science in Communication Sector

Science wonders can also see in the field of communication. Advancement of science is amazing in this field. The inventions like electric trains, aero-planes and ships are some of the well-known wonders. These tremendous inventions have converted this massive globe into a beautiful, full of all comforts / luxuries and well-connected village. We can easily visit many cities of the world in one day. Science and technology has minimized the distances and brings us closer to each other.

Science in Atomic Energy Sector

Atomic energy is another wonderful blessings of modern sciences. It satisfies the needs of human being in energy sector and doubles their efficiency for producing energy. Atomic sector is the most powerful source than other sources of energy. It can run mills, factories and great industrial and technological establishments / installations. We can use atomic explosions in leveling of mountains and digging of canals. Moreover, we can also use these explosions for raising of water from glaciers.

Science in Agriculture Sector

Science has glorified machines and machineries and increased its efficiencies. Although, revolution in mechanical sector has led us towards unemployment and environmental pollution hazards. However, it also the solution of these problems. For example, the usage of tractor, agricultural instruments, chemicals and insecticides has increased the average output in agriculture sector. By applying scientific methods in agriculture, the yields of farms have been increased.

Conclusion

On the whole, the wonders of science are countless. Science has taught us to fly like a bird in the air and swim like fish in water. It has satisfy our wants and wishes. Science has given us comforts and facilities like telephone for quick communication with each other and television for awareness. It has also facilitate us in shape of fans, computers, air-conditioned, cars and buildings. The difference between summer and winter is negligible due to wonders of science. Science can be used to eliminate poverty, increase production in the farms as well as in factories and for other constructive purpose. The wonders of science have made all these facilities possible. So, we must try our best to increase our capability in all sectors of science for a bright future and for next generations.

Data science can be a vast subject and one cannot cover it in a single go. But then let’s try to understand it in a very simple and easy way.

Every corner of today’s world is brimming with data in its raw form. When you are shopping, taking a medical test, watching a movie or show, using the internet or taking an examination. Everything is giving birth to loads and loads of data. But why is this data so important?

Science is when one tries to understand anything using scientific tools. And data is a set of qualitative and quantitative variables regarding any subject. So comprising both these definitions one can say that; data science is a field where data is used as a raw material and then processed using scientific tools to extract an end result. This end result helps in increasing business value and customer satisfaction.

PRESENT DAY RELEVANCE OF DATA SCIENCE

You see its products every day in your day-to-day life. Products which are the result of combing huge amounts of unstructured data and using it to find solutions to business and customer related issues. Some of them are:

• Digital advertisements: at the same time two different people can see different ads on their computer screens. The reason is data science, which recognizes one’s preferences and shows ads relevant to them.
• Image and voice recognition: whether the automatic tagging option of Facebook or Alexa, Siri etc. recognizing your voice and doing exactly what you told them to do, again it’s data science.
• Recommender systems: when you go shopping on an online website or search for a show on any entertainment app, you get suggestions. These suggestions are created using data science by tracking ones past activities and likings.
• Fraud detection: many financial institutes use it to know track clients financial and credit position, to know in time whether to lend them or not. This reduces credit risk and bad loans.
• Search engines: these search engines deal with the massive amount of data, and to search the thing that you asked for in a second can be impossible if only the algorithms were not there to help in this mammoth task.

ACTIVITIES COMPRISING DATA SCIENCE

It is a big subject, it comprises of several different stages and steps before one can reach the final conclusion. They are:

• Obtaining data from several sources.
• Storing data categorically
• Cleaning the data for inconsistencies.
• Exploring the data and find trends and patterns in them.
• Machine learning that is modeling the found patterns into algorithms.
• And then lastly interpreting the algorithms and communicate it.

TOOLS USED IN DATA SCIENCE:

There are several techniques used, and all these techniques have to be learned by a data science aspirant.

• SQL or NoSQL for database management
• Hadoop, Apache Flink, and Spark for storage.
• Python, R, SAS, Hadoop, Flink, and Spark for data wrangling, scripting and processing.
• Python libraries, R libraries, statistics, experimental designing for exploring and searching the data to find needed inferences.
• Machine learning, multivariate calculus, linear algebra for modeling the data.
• Communication and presentation skills along with business acumen for making the inferences useful in strategic decision making.

Data Science and Our Life

We are living in a world where Data Science is transforming our health by allowing doctors to search millions of results in an instant, by developing new and effective drugs with great speed, and by predicting diseases in advance before it even occurs. Health care has been improving constantly with the development of science and technology, and with the advent of Data Science and Data analytics, long and healthy life for every person on Earth is no longer an impossible dream.

Impacts of Data Science on Medical Science

• Genetics and Genomics: The study of genetics and genomics are focused on understanding how DNA and genes affect our bodies and how we can alter or reconstruct them in order to improve human health. Inexpensive DNA sequencing and modern genomic technologies have made it possible to create genetic mappings, and it has also made the prediction of molecular effects on genetic variables which are essential to interpret DNA a lot easier.
• Imaging Analytics: Imaging techniques such as MRI, X-ray, and Ultrasound etc are used for studying organ anatomy and detecting diverse disease conditions. While Data Science techniques are improving image quality and helping in extracting more and accurate information, Deep learning algorithms are increasing diagnostic accuracy by checking the results against previous examples in the datasets.
• Drug Creation: Developing a drug requires a huge amount of researches, experiments, tests and capital. Data Science and Machine learning algorithms can predict success rates and forecast how a particular drug will work in the human body. This is not only reducing the efforts required in drug-development to a great extent, but also increasing the speed with which the researches are being conducted.
• Predictive Medicines: Data Science tools have made it easier to store a particular patient’s health record, correlate the symptoms, keep track of habits and disorders, generate real-time data, and based on the calculated results, Doctors can predict the right medicine. This is benefitting in improving treatment quality and also providing convenience for doctors.
• Managing Patients’ Records: Digitization and Data Science tools such as Support Vector Machines and Optical Recognizing devices are helping in the creation of digital data of patients, and with machine learning, it is possible to use and exchange the data with others to improve diagnosis and treatments.

How Can You Become a DR. DATA SCIENTIST?

Data Science is revolutionizing the way we understand hospitals and doctors and treatments. They are revealing new and fascinating insights about our body and accelerating the researches going on for finding solutions for untreatable diseases. But the medical science industry doesn’t have enough Data Scientists and is in need of a large number of Data Professionals. To fulfill this demand, this training is dedicated to preparing skilled Data Scientists. With excellent expert-led in-depth training, lifetime access to courses, opportunities to work on live projects, webinars and regular constructive assessments, students not only gain expertise of all the important concepts and computing tools of Data Science but also become prepared to lead the industry.

Data Science deals with analyzing hidden data. Data Scientists uncover peculiar insights to improve and make smarter business decisions. They try to understand the characteristics or patterns within the data. Business organizations realize the necessity of extracting and analyzing historical data to make clever decisions which could help the organization bag a great amount of profit. Their career path is never-ending as the generation of enormous amount of online data will continue to grow exponentially. Here are the top reasons why you should become one.

ORGANIZATIONS FACE REAL CHALLENGES IN MANAGING DATA

Over the last two decades, there has been a surge of data logs, data generation, and electronic content creation. This shows us that every company has a big pile of data which can be used for making better decisions but does not know how. According to Glass Door’s statistical reports this year, it highlights that data scientist is at the top spot for two consecutive years.

SHORTAGE OF SKILLED DATA SCIENTISTS

McKinsey Global institute study proves that there is a shortage of about 190,000 data scientists in 2018 in the United States. The demand is critical, especially in India considering the technologies and tools. According to the CEO of Fractal Analytics, they perform analytics whereas Analytic Consultants interpret and use the data effectively. The supply is scarce but the demand is huge.

HIGH PAID JOB

They have one of the top paying jobs in the industry at the moment. According to Glass Door statistics, the average salary in the United States for Data Science jobs is more than $62,000. According to PayScale, In India, highly skilled ones get paid as high as 19 Lakhs Per Annum.

X FACTOR

Being a data expert is considered to be cool and impressive with top ones working in Facebook, Twitter, Google, Amazon, LinkedIn etc. It is no surprise that Harvard Business Review marked it as ‘The sexiest job of the 21st century’. The kind of work a data scientist performs, helps them advance in their career, sharpen their analytical skills over a large number of domains such as Machine Learning, Big Data etc.

DEMOCRATIZE DATA SCIENTISTS

Global tech giants are not the only companies which require data scientists. According to Harvard Business Review, companies in the top third of their respective industries, which makes data-oriented decisions, on an average, were 5% more productive, and 6% more profitable when compared to other companies which did not use it to make their business decisions. Now, many start-ups are looking to hire entry level data scientists with a good pay.

WIDESPREAD JOBS

Many industries, like manufacturing, healthcare, banks, information technology, etc. are hiring data scientists. This shows that they are not limited to industries. They are widespread across geographies. Therefore, irrespective of a person’s location or domain of work, data science and analysis persists everywhere and is open to anyone who is determined to pursue it as a career.

INTRODUCTION:

• In general terms some of the facts, information sets or details used to plan, organize and analyze something is known as data.
• When knowledge is gained through some experiments and observations, it is science. The process by which skills can be learned for a specific aspect is training.
• Summing up all the three terms, we arrive at a phrase named Data Science Training, which means the training which allows one to store historical data and also accurately predict the patterns.

WHY IS IT NEEDED?

• As it’s an amalgamation of several fields like database management, data analytics, predictive modelling, machine learning, big data distributed computing, coding, data visualization and reporting it’s important.
• Business strategies are built upon data analysis and not on primitive data and hence data training is needed.

HOW TRAINING PROCESS STEPS FORWARD?

• Initially there is no need of analysis and thus the first and foremost step includes getting clear with basic statistics, excel & SQL, software such as SAS, R, Python (Used for coding such as mean and median) Hive and Pig for most of the data scientists.
• Further steps are inclusive of having knowledge about data cleaning, data handling, data analysis, predictive knowledge and software such as Hadoop, Tableau, Qlikview, Spark and Spark SQL.
• The final step consists of Machine Learning Techniques, Unstructured Data Analysis Techniques and Learn usage of Blog data tools.
• The training once completed with coverage of all the above aspects, the individual is able to be a data scientist.

DIFFERENCE BETWEEN BUSINESS INTELLIGENCE AND DATA SCIENCE AND WHY DATA SCIENCE!?

• Often, both of the above terms are used synonymously whereas there is a difference between Business Intelligence and Data Science.
• Business Intelligence is a traditional approach, wherein it only addresses two questions of business i.e. What happened? And why did it happen?
• However, data science deals with these two questions along with modern approach towards questions like what will happen now? What should I do in its accordance?
• Therefore, from the above details it could be clearly segregated that both the substitutable terms (believed to be!) are distinct in their own kind!
• Also, the content reveals that data science is selected over Business intelligence because Business Intelligence is only descriptive and diagnostic wherein former is descriptive, diagnostic, predictive as well as prescriptive and pragmatic.

CLOSURE:

• Data Science can be used for route planning of any of your business which embarks how would your business move on and gain momentum.
• Secondly, predictive analysis can be made so as to know that what could be done in the future in reference to diverse factors.
• A business can plan well in advance for the promotional offers, future demand, next re-order time and such stuff about consumers through a study of their perception by way of data science.
• Lastly, it can also be noticed that with the help of data science it really becomes comfortable to decide and disclose what resources could perform better and what resources could be used to perform better.

Data is everywhere and it would be foolish not to use it for the betterment of various sectors and the general public. This is the reason why the medicine and the healthcare field are using big data as an effective tool to gather data and analyze the same. It can help improve the existing technologies and also will help in developing new ones, prevent any kind of epidemic, lower the costs of diagnosis and treatments, etc.

Big data will help the doctors to make informed decisions at a better pace making less mistakes. Data will also help in getting a bigger picture of the population as a whole by identifying the larger problems which can be a problem after 20 years.

Some of the major uses of data science in the field of healthcare are discussed below:

Staffing

Deciding the proper number of doctors, nurses and other staff in various shifts are big decisions as overstaffing means extra costs and understaffing means fewer staff to treat the patients. With data science and various machine learning techniques, one can find the patterns in hospital admissions in the last few years and can also get predictions regarding future admissions. This will help the management in making correct shift staffing decisions.

Wearables

Another use of data science is wearables which are certain equipment that can be worn by the patients. These instruments will be capable of collecting medical data about the person wearing the same and this will be collected in the database which can be helpful for comparing various socioeconomic factors and health in general. It will also be helpful for the concerned person’s doctors to be alerted when the health deteriorates.

Predictive analysis

Doctors need to diagnose health problems, and having pre-existing data can be very helpful. Big data techniques can help doctors predict the disease within a very small period, as this can provide the patients with the timely treatment. Also, the electronic health records help a lot in certain complex cases which requires medical history.

Web medicine

With various digital devices now into play, the telemedicine approach has become much stronger and more improved in the last few years. Now patients can talk to and consult with doctors from home using various means like video conferences, chatbots, etc. Here data science can help in the diagnosis of the diseases easily, even if the patient is not admitted to the hospital. Also, by using the big data tools, technologies are being developed which can perform robotic surgeries which require a lot of data delivery to the software in real-time.

Security

Data science is also helpful in making sure that the patients and the hospitals do not go through any kind of forgery. Using streamlined data, inconsistencies and frauds can be recognized much earlier, thus preventing loss of money and other resources. Big data tools will help in correcting the insurance procedures by preventing faulty and fraudulent insurance claims and also will make sure that patients are compensated while the hospitals are paid in time.