Diploma in Big Data Technology (FSA)
Live
Fee: ₹60,000
Objectives
This course offers core concepts behind big data problems, applications, and systems. It is for those who want to start thinking about how Big Data might be useful in their business or career. This course covers framework Hadoop, that has made big data analysis easier and more accessible -- increasing the potential for data to transform into information
Big data enables you to gather data from social media, web visits, call logs, and other sources to improve the interaction experience and maximize the value delivered
Big data delivers personalized offers, reduce customer churn, and handle issues proactively
What Will You Learn
Big Data landscape including examples of real world big data problems including the three key sources of Big Data: people, organizations, and sensors.
Skills you will gain
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Curriculum
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PAPER 1 - Diploma in Big Data Technology
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Introduction To Data
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Data Processing
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Control Program for Microcomputer or Microsoft Excel
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Statistics Data Analysis
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Video Lecture
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Internal Assesment
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PAPER 2 - DBMS/RDBMS/SQL/NoSQL
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Data Base Management System
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Relational DataBase Management System
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Structure Query Language
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NoSQL
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Video Lecture
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Internal Assessment
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PAPER 3 -Web Application Development
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Web Design
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Java
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Eclipse
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Video Lecture
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PAPER 4 - Cloud Computing in Big Data
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Cloud Computing
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Cloud Services Model
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Virtualization
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Cloud Service Provider
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Miscellaneous
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Video Lecture
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Internal Assessment
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Paper 5 - Big Data And Hadoop
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Introduction Of Big Data
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Big Data Key Technology
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A Read Of Hadoop
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Hadoop Programming
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Video Lecture
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Internal Assessment
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Paper 6- Deep Dive Into Apache Spark and Scala
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Apache Spark and Scala
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Apache Spark Framework
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Data Frames and Spark SQL
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Machine Learning using Spark Mllib
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Internal Assessment
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PAPER 7 - MangoDB
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Connect to MongoDB
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MongoDB Security, Backup
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Video Lecture
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Internal Assessment
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PAPER 8- Hadoop Practice Guide
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Hbase
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Hive
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Pig
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Sqoop
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Internal Assessment
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PAPER 9 -Big Data Analysis with SQL
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Introducing Big Data SQL
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Storing Oracle Data in Hadoop
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Storing Oracle Tablespaces in HDFS
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Internal Assessment
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Paper 10 - Final Assessment
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Final Assessmentt
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Instructor
Dr. Priti Maheshwary
Professor FSAPresently working in Future Skill Academy. Involved in Computer Science and Engineering for over 20 years in higher education and training. Her career has included various software development projects, teaching, research and administrative roles. She enjoys teaching and looking into how to improve student learning experience. Published around 50 research papers in refereed journals and conferences, 7 book chapters, 6 Patents. 8 PhD thesis completed under her guidance in the field of Internet of Things, Smart Cities, Ubiquitous Computing, Wireless Sensor Network, VANET, Image Processing specialized in Satellite Images, AI/ML & Deep Learning, and Cyber Security. Also done more than 10 projects in the field of Research and Consultancy.
Dr. Pooja Bijlani
Trainer (Subject Matter Expert) Future Skill AcademyPresently she is working as an IT Trainer (Subject Matter Expert) at Future Skill Academy, AISECT, Bhopal. She is having over 15 years of academic and research experience. Expert in Programming Languages C,C++,Python, Java, React Spring Boot, Artificial Intelligence, Machine Learning and Data Science. Students accoladed her programming language teaching skills. Having experience in number of End to End projects in Natural language Processing, Computer Vision and Python Desktop Application GUI. Web Designing.
Priyanka Sharma
Data Analyst ExpertPriyanka has over 9 years of exp. In the field of Data Science, Power BI, R, Data Visualization,Tableau, etc. She was earlier associated with organizations like Udemy, Edureka, and Byju’s to name a few. She has trained over 3000+ plus learners in these domains. She completed her B.E. (IT) and MBA-HR before making training her passion.
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