Hadoop Analytics using R (For Data Scientist)

Hadoop Analytics is one of the top segment in IT industries, allowing companies and organization to make better business decisions. Data Analytics help companies in making more informed business decisions by enabling data scientists to analyze large volumes of transaction data. Big Data Analysis helps Analysts, Researchers and Business User to make better and faster decisions using previously unusable data. Data Science Stream is a blend of data inference, and algorithm development and helps to solve analytically complex problem using various tools. Since Automated methods are been implemented everywhere from genomics to high-energy physics, data science is helping to create new branches of science, and influencing areas of social science and the humanities. The same trend is highly expected to continue in the coming years as data from mobile sensors, sophisticated instruments, the web, and more, grows. After successful completion of Hadoop Analytics using R , the student can apply for Cloudera Certified Professional program (CCP) Data Scientist Certification.

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Hadoop Analytics using R (For Data Scientist) SyllabusDownload PDF

Course Duration For Hadoop Analytics using R (For Data Scientist) Course:
8 Weekend (Weekend batches)
Objective For Hadoop Analytics using R (For Data Scientist) Course:
Provide Insights About the Roles of a Data Scientist
Provide an understanding of the structure of datasets and databases, including "big data"
Provide Insights About the Roles of a Data Scientist
Ability to Analyze Big Data
Make predictions using machine learning
Learn to apply hypotheses and data into actionable predictions
Eligibility For Hadoop Analytics using R (For Data Scientist) Course:
BSc, BCS, BCA, BE, B.Tech, MSc, MCS, MCA, M.Tech
A background of 1 year in statistics will be helpful
Hadoop Analytics using R (For Data Scientist)

Project
Project name: Live Project
Project description: Student will be assigned a project which they will have to execute under the careful guidance of the faculty.