Data Science Using Python
Course Duration: 4months – 7months
Data science is known as data driven science which makes use of scientific methods, processes, algorithms and systems to extract knowledge or insights with the goal to discover hidden patterns for raw data. It encapsulates some statistical readiness, visualization techniques, programming skills and a lot of business sense. Data scientists are responsible for designing and creating processes for your complex as well as your large skill data sets. These data sets are basically used for modeling, data mining, data prediction and for research purposes as well. There are different programming languages for data science like R, SQL, SAS, Java but Python is the most preferred choice for data scientists among all the programming languages.
Python has numerous features which make it a different language. It is simple and easy to learn. It is a very powerful language and closely resembles to an English language. Furthermore in python, you don’t have to deal with complex syntax like you used to do in java and other programming languages. Python allows you to perform cross language operations seamlessly. It is supported by most of the platforms ranging from your windows, linux and many of these. It is a high level and scripting language which basically translates and run your code at one instruction. It is less code intensive as compared to other. It performs data manipulation, analysis and visualization. It comes with powerful libraries for machine learning applications and other scientific computations. So using python, you can perform various machine learning algorithms for small and easy syntax and you can gain insights based on the data.
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Who Should Attend
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TOne who willing to explore the data in real world and using that data try to solve their business problems.
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New engineering graduates/technologists/professionals and others who will be dealing with data mining, data clustering, data visualization and many more in their daily life.
Data science using R
Course Duration: 4months – 7months
Data science is basically to make the data talk to us. It is an umbrella term which encompasses multiple domains such as data visualization, machine learning, data reporting, deep learning, statistical analysis and deep manipulation. It allows to turn raw data into understanding, knowledge and insight into it. R is a most powerful language which is widely used for statistical computing and data analysis. For data scientists, R offers various features which make the statistical analysis of large data sets simpler.
R offers linear and non linear modeling, time series analysis, easy extensibility and interfaces to other programming languages. R is turning complete -that is whatever computation process it is, it can be done with the help of R. It is also a dynamically typed programming language which means that the focus is on the value of the object and not on the data type of the object. It also provides more than 10,000 free packages that is whatever you need, there is a package for that. If you want to do data manipulation or data visualization there is a package for that too. Packages such as dplyr, readr ,tidyr, data.table ,sparkR , ggplot2 have made the visualization, data manipulation and computation much faster. It can be easily integrated with popular software such as Tableau, SQL server etc. Anyone can download R from the internet by using R- studio as IDE.
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Who Should Attend
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This course is for those aspirants who wants to play with large data set and extract some useful information from data set to solve their data related problems.
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Students, graduates and others who are seeking career opportunity in the field of data mining, data prediction, data planning , data analysis.
Data Science using SAS
Course Duration: 4months – 7months
Data Science is known as the multidisciplinary amalgamation of technology, algorithm development and data interference for solving the complex issues analytically. Data Science using SAS helps you ace in analytics techniques and also in acquiring practical knowledge that can be applied in the data analysis segment. SAS is a statistical language which is dominating the today’s data world. It is easy to learn in comparison to R and python. It is a godfather of analytics. It has been in business since 1976 and it contributes and finances statistical computing to a great extent.
SAS is a software suite with various graphical and analytical capabilities. It is an integrated system of software solutions which enables us to perform various tasks like data entry, operations research and many more. SAS has become the market leader in the enterprise analytics space. It has a good Graphical user interface which helps the people to understand and learn it quickly. It offers a huge array of statistical functions and excellent technical support. About 39% industries are using SAS nowadays. Many big corporations prefer SAS because it offers highly reputed customer service and because of this it has an advantage in the marketing companies and financial services where cost does not matter for the selection of a tool. In sequential data access, SAS is extremely efficient. The drag and drop interface makes it easy for the users to create better statistical models at faster rate. It also has a decent functional graphical capabilities.
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Who Should Attend
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Professionals, technologist, researcher and others who want to make their career in the field of data mining, data classification , data clustering , data analysis , data prediction.
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One willing to perform amalgamation of technology, algorithm development and data interference for solving the complex issues analytically.
