DATA ANALYTICS

Preamble:

  • Data is becoming paramount as organizations use it to inform long term strategies and make day-to-day business decisions. Data analytics is the process of transforming vast amounts of raw data into constructive, actionable information. It is the science of examining raw data with the purpose of drawing conclusions about that information.To derive insights from large amounts of data, a data analyst stores, manages, sorts, structures, and mins the data using the best tools. The analyst applies the analyzed refined data to find trends and influence business decisions.
  • Data analytic experts are in high demand in all business and government organizations.
  • Data analytics is used in many industries to allow companies and organization to make better business decisions and in the sciences to verify the existing models or theories.
  • Data Analytics is also prevalent in the financial services and large scale retail sectors.
  • Analytics are also common in the fields like IT Security, Defense and the Physical Sciences and from Bioinformatics to Astrophysics.

About the Course

Data Analytics course will help students  to expertise in R Programming, Data Manipulation, Exploratory Data Analysis, Data Visualization, Data Mining, Regression, Sentiment Analysis and using R Studio for real life case studies on Retail, Social Media.

The Data Analytics is specially designed to provide the requisite knowledge and skills to become a successful analytics professional. It starts with the fundamental concepts of Data Manipulation, Exploratory Data Analysis etc.

Objective

·     Students will learn the principles and methods of statistical analysis, but will also put them into practice using a range of real-world data sets.

·         Provide a basic understanding of data analysis and to use computational tools on problems of applied nature.

·         Empower students to critically analyze current trends and learn future issues from a system perspective at multiple levels.

·         Enable students to apply the interaction between theory and practice for problem solving based on case studies.

·         Prepare students to critically analyze existing literature, identify the gaps in the existing literature, map the existing problems as Big Data and propose innovative and research oriented solutions.

 

 

Learning Outcome

·         Design, implement, populate and query relational databases for operational data,data warehouses for informational data.

·         Evaluate the use of data from acquisition through cleansing, warehousing, analytics, and visualization to the ultimate business decision

·      Students  will possess the skills necessary for utilizing tools (including deploying them on Hadoop/ Map Reduce) to handle a variety of big data analytics and will be able to apply the analytics techniques on a variety of applications.

·     Solve complex logic problems using the tools and techniques found in Computer Science, Business and Communications. Write clear and efficient code in the programming languages relevant to Data Analytics, following appropriate coding standards and industry practices.

·         Analyze data, test claims, and draw valid conclusions using appropriate statistical methodology.

·    Data visualization: Retrieve, organize and manipulate data using a variety of analytical tools. Learn visual representation methods and techniques that increase the understanding of complex data and models.

Career Opportunity

The Data Analytics domain is a multi-disciplinary field. Depending on the level of expertise, data analysts can Work with IT teams, management and/or data scientists to determine organizational goals. The huge forecasted demand for professionals with Data Analytics knowledge has made many students and professionals look at Big Data and Data Analytics as a career path and the professionals in this specialized course domain are being embraced by the leading industry professionals already. 

Companies recruiting Data analytics professionals:

 

  • Heckyl: Tech Sparks 2011 winner company in financial data analytics space. Founded by Mukund Mudras, Som Sagar, Abhijit Vedak and Jaison Mathews.
  • Sigmoid Analytics: A TechSparks 2014 company, based out of Bangalore, Sigmoid is in the area of real-time Big Data warehousing, streaming and ETL (extract, transform and load) on Apache Spark. They have a technology infrastructure which companies can use to store their data in a desired format, perform operations on it and generate insights.
  • Flutura:  Mines Big Data to perform analytics and gives hidden insights from huge chunks of machine generated data for global oil and gas majors to bring in efficiency and safety. Flutura was founded by Krishnan Raman, Derick Jose and Srikanth Muralidhara.
  • Indix:  Computes real-time data to give product insights for decision makers on an intuitive dashboard. Founded by Sanjay Parthasarathy, the company has its product engineering center based out of Chennai.
  • Fractal Analytics: Helps companies in predictive analytics and decision sciences to understand, predict and shape consumer behavior through advanced analytics, harmonize data, tell visual stories and forecast business performance.
  • Crayon Data:  An algorithms called the WhiteBox, Simpler Choices, takes massive data, cleans it up and presents only actionable insights to banking, hospitality and, telecom sectors. It was founded by Srikant Sastri, Suresh, Shankar and Vijay Kumar.
  • Germin8: It is a leading Data Analytics company that helps brands with social media measurement and monitoring solutions by analysing conversations in real time. The Mumbai-based company was founded in 2007 by Raj Nair and his son Ranjit Nair.
  • Aureus Analytics: With its platform called ASAP (Aureus Statistical and Analytics Platform) it produces insights by mining enterprise data. Aureus was founded by technology professionals Anurag Shah, Ashish Tanna and Nitin Purohit.
  • Dataswft: A product of Bizosys Technologies Pvt Ltd, it has a customized search engine that can decode technical information and return search queries within milliseconds. It was founded by Sunil Guttula, Abinasha Karana and Sridhar Dhulipala.
  • C360:  Corporate360 Pvt Ltd provides IT sales intelligence data services to enterprises. The startup was founded by college dropout Varun Chandran.  Prior to founding Corporate360, Varun was working as sales and marketing executive with the likes of SAP, Oracle, Dell and NetApp. C360 is based in India and Singapore. Another similarly located Big Data company is Antuit holdings, which raised $56 million from Goldman Sachs and Zodius Capital.
  • Metaome: It is a health care Big Data company focused on life sciences, founded by Kalpana Krishnaswami and Ramkumar Nandkumar. Metaome’s products DistilBio a free version web-based graph search and enterprise version platform that accrues a variety of data from difference sources (laboratory data management systems, private and public databases) and makes it structured to help in identifying a pattern.
  • Frrole: It is a Social intelligence startup with a media and brands focused offering, which allows its customers to integrate real-time Twitter data into their digital properties and TV shows. The startup was founded by Amarpreet Kalkat, Nishith Sharma and Abhishek Vaid.
  • Bridgei2i: It focuses on user-centric applications of Big Data. Founders are Prithvijit Roy, Ashish Sharma, Pritam Kanti Paul.
  • Formcept: Focused on making data analysis accessible to everyone; founders are Suresh Srinivasan and Anuj Kumar.
  • PromptCloud  PromptCloud is a DaaS (Data-as-a-Service) platform; it crawls the websphere for data extraction and has been founded by Prashant Kumar.

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