Everything About: Data Science Fundamentals/Analytics With excel/Big data with Hadoop complete & Who Should Attend

Data Science Fundamentals

Course Duration: 4months – 7months

Data science is a mix of variety of tools, machine and algorithmic learning principles to discover hidden patterns from raw data. As the world is entering into the era of huge data, there also comes the need of its storage and this was the matter of great concern for the enterprise industries till 2009-10. Data scientists came with the solution and introduced Hadoop and other frameworks that successfully solved the problem of storage. But now the concern shifted to the proper processing of this data.

Earlier the data was well structured and small in size, so it could be easily analyzed by using simple BI tools. But today most of the data is raw, unstructured or less structured, so there comes the need of more advanced and complex analytical techniques for analyzing and extracting useful information out of it. Secondly, due to data science advancement the enterprise industries can use variety of tools to train their models more effectively and can easily meet the customer requirements which can boot businesses drastically. Moreover, data science can be used in decision making for example- the self driving car collects live data using radars, sensors, lazars and cameras to discover the route and using this it can speed down, speed up and make the decision of overtaking which is the great use of advanced machine learning techniques. Data science has wide use in weather forecasting also. It can take data from ships, satellites, radars, aircrafts etc and analyze this to build models. It can predict any coming natural calamities and you can take appropriate steps to save many lives and loss beforehand.

This course is aimed for both those who have and do not have any prior knowledge of Data Science.

Who Should Attend

  • One who really willing to work on variety of tools, machine and algorithmic learning principles to discover hidden patterns from raw data.
  • Professionals , students , engineering graduates and many others who will be dealing with large amount of structured or unstructured data from real world to solve their business related problem.

Data Analytics With excel

Course Duration: 4months – 7months

This course is aimed for both who have and do not have any prior knowledge of Business Analytics with excel. It is beginner to advanced course to familiarize you with Business Analytics with excel. Data Analytics refers to quantitative and qualitative processes and techniques which is used to enhance the productivity of business. The ability to analyze data is a very powerful skill and this helps you to make better decisions. Microsoft excel is one of the most popular and top tools for data analytics. Excel is used as a business analytics tool. It offers intuitive analytics features such as find, correct, and shape to model and analyze a company’s data. Today excel features and memory technology make it easily compatible with no use of data enabling companies to perform the necessary analysis without being dependent on specialised solutions.

Nowadays Microsoft excel is very important for business organizations. It is used for various purposes by business organizations. Some establishments use the spreadsheet software for generating track sales trends, memos and other business data. MS excel software spreadsheet software consists million rows of data and automate number crunching, but this software is capable of doing more than just figures. It has a simple interface which allows the users to understand it easily and to perform various basic activities. It offers a grid interface so that the user is capable to organize any type of information they require. The importance of this feature is that it allows the user to define the structure of information they need to manage with ease and also this software is very simple to use and understand so that anyone can easily access it.

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Who Should Attend

  • Professionals , Businessman , Graduates and many others who are dealing with large amount of data for business purpose so it is very important to make that data well organised and effective.
  • This course is aimed for both who have and do not have any prior knowledge of Data analytics with excel. It is beginner to advanced course to familiarize you with Data Analytics with excel.

Big data with Hadoop complete

Course Duration: 4months – 7months

As the name suggests, Big Data defines all the data that has been generated all over the world at a bizarre rate. The data that is generated can be structured or unstructured both. Hadoop helps Big Data to manage data processing and storage, it is an open source distributed processing plan. It gives much more flexibility to users for processing, collecting and analyzing data than what the data warehouses give.Hadoop supports a massive amount of data and thousands of hardware nodes as it runs an array of commodity servers. It is not just a technology but it has become a business strategy for information resources for capitalizing. Experts- say that it provides a way to capture ideas and insights for staying ahead in this competitive world.

Hadoop is very much in demand now. It is basically adapted for analytics uses, and its capability to process and store many types of data which makes it apt fit for big data analytics applications. With the help of learning this, you can get good career growth and a better pay package. With the help of Hadoop, you have a great possibility to improve your career prospects whether you are experienced or a fresher. A person with hands-on analytical skills can ace the ocean of Big data and become an important part of the organization. By studying this, you will have an edge over others who do not have knowledge about it. The trend for it is increasing day by day but there is a deficit on the supply side as businesses are considering to ace the power of Big data with Hadoop. So by opting this, you can have more gates of opportunities open for you.

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Who Should Attend

  • New engineering graduated , professionals , students and many others who will be dealing with large amount of data with different different properties and structure .
  • One who willing to perform several operations on structured or non structured data that can help to manage the Big data processing and storage.
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