Any graduate can go for data science, its independent of qualification. Its more over towards logical rather than technical. We will use more conceptual knowledge rather than the technical knowledge in data science. So who so ever have good logical skills can go for data science.
Data science is a process of exploring large, complex and varied data sets to reveal hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations to take calculated risks.
Annual demand for the fast-growing new roles of data scientist, data developers, and data engineers will reach nearly 700,000 openings by 2020. By 2020, the number of jobs for all US data professionals will increase by 364,000 openings to 2,720,000 according to IBM.
There is no such prerequisite for data science you might have seen that bachelor degree in statistics and machine learning are mostly data scientists but it is not a prerequisite to learn data science. However if we familiar with the basic concepts of Math and Statistics like Linear Algebra, Calculus, Probability, etc. will help to learn data science.
In both of the modes Palin arrange classes, can go in either of that classroom as well as online.
Data science introduction, diffrent data sources like RDBMS, NOSQL, MACHINE LESRNING, PREDICTIVE ANALYTICS, DEEP LEARNING, SUPERVISED & UNSUPERVISED, KNN CLASSIFICATIONS and one LIVE PROJECT
Everyone have their own opinion towards classroom or online training. In my point of view online classes are far better than classroom session. Online trainings have more much benefits comparative to classroom like we can easily record the session we can access that session whenever we want. In online session we just need a laptop and internet connection can easily access the classroom.
Most of the organizations are working on data analytics platform Like Mckinsey, Delloitte, mercer, TCS, Accenture, Cognizant, IBM, Amex, RBS, UHG, WNS and many more..
An Entry-Level Data Scientist, IT earns an average salary of Rs 579,714 per year. The highest paying skills associated with this job are Machine Learning, Python, and SQL.
Will cover whole process of data science like initially if we want to fetch some data from traditional database we should have the knowledge of SQL. After fetching Data for data mining, data cleaning or data preparation process. After that we import that data into python, after that for predictive analytics will cover basic stats or modelling techniques. will cover some machine learning algorithms. For report presentation n dashboards will use tableau. So data science includes SQL, Python, Predictive Analytics, Machine learning and tableau.
No, One can go for python directly. No need of backgroung in analytics as well as SAS, R or any other statistics tool
Will work on live data set of ecommerce industry, one can take any industry data set. Will decide a goal statement and will follow the flowchart to achieve that
Artificial intelligence is an umbrella term which include technologies like MACHINE LERARNING, DEEP LEARNING, BIG DATA, VIRTUAL AGENTS, SPEECH RECOGINITION to name a few
In any domain we can use data science like agriculture, BFSI, Manufacturing, Healthcare, Oil and Gas, Transportation, Automobiles, Retails and others
Predictive analytics is the branch of the advanced analytics which is used to make predictions about future events. Predictive analytics uses many techniques from data mining, Statistics, Modelling, Machine Learningand artificial intelligence to analyze current data to make predictions about future
Pictorial Representation of data with an aim to allow more room for understanding is what data visualization is all about.