Data science today is considered a lucrative career and has immunity opportunities for people who have all the necessary skills in balanced proportion and are able to apply them practically. No matter what kind of data that you come across, it always has a data scientist behind it working hard to make your job easier and give you solutions to your never ending doubts. Also to become a data scientist you need to have a solid grasp on statistics, mathematics, analytics, machine learning, etc as well as communication skills and business acumen to spread your findings to business and IT firms. Data scientists are found in all the applications where data is involved, which is currently in almost all fields.
DATA SCIENCE LANGUAGES:
This in demand course has some necessities which including having programming knowledge. Some of the languages which data scientists usually prefer are: Python- It is popular choice due to the amount of libraries and advantages and easy to learn, Java- because of its demand among other software engineers for development, R-It is one of the most frequently used tools, Julia- high level dynamic programming language, SAS, SQL, MATLAB.
ROLE OF DATA SCIENTISTS IN INDUSTRY:
The roles and responsibilities of data scientist are vast and diverse; there are lots of job titles where they can fit the bill. It is necessary to have the business acumen to go a long way in this field. A good data scientist must have knowledge of database administration, data cleaning and integration along with processing. It should be your prime concern to master data analysis if your math is not strong. The main job of data scientist is to segregate and organize large amounts of data for the specific task, to wrangle the data so that it is used correctly and carry out scientific methods, modeling to find deep insights and patterns in data for further development. To communicate your predictions and findings to other departments with no prior technical knowledge and use all the expert skills of data visualization, machine learning to make productive products which can boost the finance of a company.
DATA SCIENCE APPLICATIONS:
The applications of data science are immune which start from detection of risks and fraud in the company through predictive models which makes it easier to identify the threats. In the field of healthcare; for medical image analysis where application of machine learning is done, as well as to get assistance from doctors through mobile apps. Internet searching has become easier through data science algorithms where you get required search results faster than search engines. Advanced image recognition, speech, face recognition makes use of data science. Almost all fields require data science in some way or another due to their long list of advantages and high end scope in the market. The most exciting feature of data science is augmented reality where there is connection with virtual reality.
This well paying data science course has incentive job opportunities all over the world, making it an …