In your day-to-day life, many things are taken for granted. The daily weather forecast, traffic predictions, your internet searches for the best brunch places nearby, predictions about who will be the next president, predictions about how the carbon emissions will be affecting the earth in the future are just some of the things you might have searched for and gotten the desired results in seconds. But for that result to appear in seconds, there is a science behind it, and that is data science. Data science is exciting, and it is essential now more than ever. In the world of the internet, data can be your currency, and here is how you can learn the ways to invest it.
What is data science?
Data science is a combination of statistics, business tactics, tools, algorithms, and machine learning components. Data science deals with structured as well as non-structured data. There are algorithms to get predictive or analytical information from a set of data and then extract knowledge.
Why should you opt for a course in data science?
- As previously stated, in today’s world of the internet, data plays a crucial role in our lives. Data science is applied in every domain and trade in the commercial world.
- This fascinating field is trending as it is relatively new and has an immense capacity for developments with technologies that keep changing now and then.
- Candidates from any background can perceive data science. Those who lack technical skills can also get the hang of data science in no time.
Elements of data science:
- Machine learning – It is the implementation of algorithms and statistics to make the machine learn the pattern or method to adapt and prepare the desired outcome.
- Big Data – The unstructured data of images, videos, comments, likes, dislikes, and all such attributes is known as Big Data. Big Data tools help with the conversion of unstructured data into structured data.
- Business Intelligence – Business Intelligence is the representation of structured data. When structured data is represented with graphs and equations using statistics, it is easier to use it and extract knowledge.
Tools of Data Science:
The candidate must know about the necessary tools used in data science as it will help them quickly grasp the vast concepts of data science. Some tools are a part of computer programming, some are a part of data analysis and algorithms, and some are a part of the data representation.
- R language
- Python programming
- MS Excel
- Hadoop
- SQL programming
- Web technologies
- Mathematics/statistics
- Business knowledge
Data science courses:
Usually, data science courses are conducted in three stages.
- Actual course – Here, candidates learn the syllabus for their data science course. In this stage, the candidate knows the specific points given in the syllabus of that course and masters them.
- Project – To see how much the candidate has learned, whether if he lacks knowledge and experience; there is a hands-on project included in almost every data science course. Here candidates will get to know how to implement their skills in the real, commercial world.
- Certification – At the end of the course, there is usually a test or an exam. Then candidates are given certificates that they can use for their job applications or educational purposes.
As said earlier, data science is a relatively new field and therefore, there are companies ready to hire but not enough skilled candidates to hire. You can grab this opportunity and run with it. Learn about data science; choose a course that suits your requirements the most because there is a bright future of data science awaiting.