- WHAT IS DATA SCIENCE
- TECHNICAL SKILLS REQUIRED
- FEATURES OF DATA SCIENCE
- DATA SCIENCE ORGANIZATIONS
- FUTURE IMPORTANCE OF DATA SCIENCE
- MULTIPLE SECTORS OF DATA SCIENCE
- ADVANTAGES OF DATA SCIENCE
WHAT IS DATA SCIENCE?
Data science is a “concept to unify statistics, data analysis and their related methods” in order to “understand and analyze actual phenomena” with data. It uses techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, domain knowledge and information science.
FATHER OF DATA SCIENCE IS William S and Data is one of the important features of every organization because it helps business leaders to make decisions based on facts, statistical numbers and trends. Due to this growing scope of data, data science came into picture which is a multidisciplinary field.
It uses scientific approaches, procedure, algorithms, and framework to extract the knowledge and insight from a huge amount of data. The extracted data can be either structured or unstructured.
TECHNICAL SKILLS REQUIRED:
- Python Coding. Python is the most common coding language I typically see required in data science roles, along with Java, Perl, or C/C++.
- Hadoop Platform.
- SQL Database/Coding.
- Machine Learning and AI.
- Data Visualization.
- Unstructured data.
FEATURES OF DATA SCIENCE:
Data science is a concept to bring together ideas, data examination, Machine Learning, and their related strategies to comprehend and dissect genuine phenomena with data.
- Data science is an extension of various data analysis fields such as data mining, statistics, predictive analysis and many more.
- Data Science is a huge field that uses a lot of methods and concepts which belongs to other fields like information science, statistics, mathematics, and computer science.
- Some of the techniques utilized in Data Science encompasses machine learning, visualization, pattern recognition, probability model, data engineering, signal processing, etc.
- One of the important features of Data Science is that its results can be applied to almost all types of industries such as travel, healthcare and education. With the help of Data Science, the industries can analyze their challenges easily and can also address them effectively.
- DATA SCIENCE ORGANIZATIONS: Data Science helps organizations to build this connection with the clients. With the help of data science, organizations and their products will be able to create a better and deep understanding of how customers can utilize their products.
- Presently, data science is available in almost all the fields and there is a vast amount of data present in the world today and if it is used properly it can lead the product to the success or failure. If data is used correctly it will hold the importance for achieving goals for the product in the future.
FUTURE IMPORTANCE OF DATA SCIENCE:
- The latest technologies such as smartphones and laptops have now become an important part of the education system. With the help of data science, better opportunities are created for the students which enable them to enhance their knowledge.
- MULTIPLE SECTORS OF DATA SCIENCE: As most of the fields are emerging continuously, the importance of data science is also increasing rapidly.
- Data science has influenced various areas. Its effect can be observed in multiple sectors such as the retail industry, healthcare, and education.
- In the healthcare industry, new medicines and techniques are being discovered continuously and there is a requirement of better care for patients.
- With the help of data science techniques, the healthcare sector can find a solution that help to take care the patients. Education is another field where the benefits of data science can be seen clearly.
ADVANTAGES OF DATA SCIENCE:
- It’s in Demand
- Abundance of Positions
- A Highly Paid Career
- Data Science is Versatile
- No More Boring Tasks
- Data Scientists are Highly Prestigious
- Data science is one of the growing fields. It has become an important part of almost every sector. It provides the best solutions that help to fulfill the challenges of the ever-increasing demand and maintainable future.
- As the importance of data science is increasing day by day, the need for a data scientist is also growing.
- Data scientist are the future of the world. Thus, a data scientist must be capable of providing great solutions which meets the challenges of all the fields. To perform this, they should have proper resources and systems which help them to achieve their goal.