For decades the computer has been arguably the most important and useful tool for society as a whole. While we all use the computer for many different purposes such as entertainment, surfing the web, doing homework and reports, and much more we often don't think about how this technology is run or how we can make it even more useful. Companies and professionals are always in need of information that will help their businesses prosper and grow. So what is one of the key ways a large company or organization does this?
Data is extremely important for a corporation or an organization. Data science is an approach that uses the scientific method and algorithms for the purpose of extracting and collecting data that is either structured or unstructured. In more simple terms it is the collection and analysis of information (or data) that is collected for a few different purposes such as
- Anamoly detection (fraud, crime)
- Things like checking your credit or background
- Moving emails to junk or to your inbox
- Predicting sales and stocks
- Recommendations for restaurants and places to visit
So how is this information found, and who collects it? For data science, a Data Scientist is the person who collects and analyzes this information. Nowadays and for the foreseeable future is going to be a very important job that is needed by many companies and organizations.
An important tool in the data science world is of course Python. Python the programming language has been a major tool for data scientists for years. Python is extremely useful in many categories concerning computer gaming and web development and so on data science is no different. So what is data science exactly and what does a Data Scientist do as part of his job? Also how exactly does Python play into all of this?
What Exactly is Data Science and How Do We Use It?
Data science is quite an interesting field and what we need to know about data science is that it helps us to collect information to make different predictions, background checks, and recommendations. It is not only computer science a lot of mathematics and finance come into play. The point of data science is to make raw data into valuable information. It is especially important in the business world as companies use data science to make all of their data valuable information to help them gain more profit.
So what fields of business can data science be used for?
Thanks to data science a lot of improvements have been made to the healthcare industry. We can use data science to improve on electronic medical records and fitness trackers, data science helps to improve on these things and make a life for nurses and doctors much easier.
Thanks to data science doctors are discovering different ways of understanding diseases, try out new preventative medicines and are able to diagnose diseases quicker as well as try out new treatments.
Just as data science is the future, machine learning and artificial intelligence are and will also be extremely important. To test out cars that don't need manual input from you data science will once again be important. Companies such as Tesla, Ford, and Volkswagen are all using analytics involving predictions to test their new cars.
Thanks to data science websites like Spotify, Netflix, and Youtube know what to recommend to you when you're trying to figure out what to watch or listen to. Data science is behind the aggregator that recognizes what you like and also when you want it, in other words when you would like to listen to something or what you would like to listen to.
Data science has helped finance earn massive profits and save a lot of money in the process. The data process is key to collecting important data from tens of thousands of credit agreements a year. Thanks to the data collection process which is part of the study of data science hundreds of thousands of man-hours are compressed into just a few hours in a computer program.
What a Data Scientist Does
A data scientist is someone that gathers all of the information mentioned above for a company or organization to use. Data scientist is one of the most popular jobs in recent years, and people who manage to get a degree in this field will almost assuredly find a great job to work at and high paying as well.
So what are the main responsibilities of a data scientist?
- Research and find the areas of improvement of a company
- Define which data sets are relevant and useful and collect data from different sources
- Get rid of any unusable data
- Analyze data to identify certain trends
- Visualize data into dashboards so others can consult it
- Present findings to the organization or corporation
What are the important uses of the data that data scientists use?
Many businesses or organizations already have solutions to problems. However, any good business strategy involves not staying idle. Businesses and organizations want to optimize the solutions they already have.
Another important use of data is to develop new solutions. There are always new ways to solve a problem and do better.
Using the data to create new products and ideas is also very important and the data a data scientist uses is very important for this goal.
Using Python for Data Science
For a data scientist programming language is very important. Working with one language or another can make your life more difficult or easier. Many data scientists recommend using Python for various reasons. The main reason, it's easy to use.
Python Is Easy to Learn
Python is a programming language that can be used even by beginners that are just starting in data science or coding. It is possible to learn Python quickly as its syntax is very easy to understand.
The Scalability of Python
Scalability in this sense is the ability of the computing process to be used for a wide range of capabilities. Python facilitates scale since it gives data scientists different approaches to solve a certain problem. It is a program that doesn't just give scientists one solution to a certain problem, data scientists can use Python as it is flexible.
Python Data Science Libraries
Python is really popular for its libraries, not only for data science but for web development and design and a wide variety of uses. The availability of libraries from Python makes the job of a data scientist much faster as it involves many pre-written codes that other programming languages don't possess.
Graphics Available from Python
An important tool for data scientists that need to present their findings is also Python. There are visualization packages that are available on Python that help to create graphics and visualizations for presenting to members of the organization or business.
Python Compared to Other Programming Languages
In the field of data science, Python stands out due to it being extremely easy to use by scientists with a lot of experience with programming languages, and with beginners, it is easy to learn. The main advantage that Python has over the other programming languages is its variety and its extensive library.
All of the tasks mentioned earlier are made easier with the features available in Python. Machine learning tasks are also made easier thanks to Python's different tools such as scikit-learn.
Why Choose Data Science
If you are wondering why you should go into data science more than how then we can tell you that data science is going to be one of the most important jobs for the future.
Of course, there is a lot of competition and there will be more in the future, and understanding a programming language like Python can help you learn faster and do more tasks in the world of data science.
Learning Data Science and Python With a Private Tutor
If you are in high school or majoring in computer programming in college or learning about data science on your own working with a private tutor can help you immensely.
Looking for a tutor on the website Superprof is quick and easy. You can find a tutor in your area that has extensive knowledge in programming and data science as well as Python to get you going. Superprof tutors have reviews so you can pick a great tutor. There are also tutors that give lessons online so you don't need to worry about meeting in person if you can't meet personally.
The platform that connects tutors and students