Course Details

Professional Certificate Program in Big Data Technologies is one of the key requisites in any large organization. The time is at its best for someone to take up a career in this domain. Enormous opportunities and extreme dearth in getting candidates force large organizations go helter-skelter. It is imperative that career seekers grab this opportunity. Learners are required to complete 3-6 months of faculty led Online mode.

The following are the subjects covered  

• Big Data 101
• Big Data Characteristics
• Big Data and Business
• Data Relationships and Data Model
• Data Grouping
• Clustering Algorithms
• Getting ready for Clustering Algorithms
• Clustering Algorithms – UPGMA, single Link Clustering
• KPIs, Businesses & Data Elements
• Mapping for business outcomes
• Basic Query
• Advanced Query – Embedding
• Mathematics Modelling
• Introduction to key mathematical concepts
• Application of eigenvalues and eigenvectors
• Application of the graph Laplacian
• Application of PCA and SVD
• Coding in DB Environment
• Making Data Sets

• Statistics 101
• Introduction to Statistics
• Introduction to Statistics – II
• Measures of Central Tendency, Spread and Shape – I
• Measures of Central Tendency, Spread and Shape – II
• Measures of Central Tendency, Spread and Shape – III
• R Programming
• R Programming
• Introduction to R – I
• Introduction to R – II
• Common Data Structures in R
• Conditional Operation and Loops
• Looping in R using Apply Family Functions
• Creating User Defined Functions in R
• Graphics with R
• Advanced Graphics with R

• Hadoop
• Introduction to Big Data and Hadoop
• Introduction to DBMS systems using MySQL
• Big Data and Hadoop EcoSystem
• HDFS
• Unix & HDFS Hands-on
• Map-Reduce basics
• Map Reduce Advanced Topics and Hands on
• Pig introduction and Hands on
• Pig Scripting
• Hive Introduction, Metastore, Limitations of Hive
• Comparison with Traditional Database and HIVE scripting
• Hive Data Types, Partitioning and Bucketing
• Hive Tables (Managed and External)
• Hive Continued
• Scoop Introduction and Hands-on
• Introduction to NoSql and HBASE
• HBASE architecture and Hands-on

Access Methods Big Data with Spark and Python

• Python
• Understanding Basics of Python
• Control Structures and for loop
• Playing with while loop | break and continue
• Strings and files
• List
• Dictionary and Tuples
• RDBMS with SQL and DWH
• Introduction to DBMS / RDBMS
• Data Modelling
• Physical Data Model
• Getting Started with SQL Lite
• DDL
• DML
• Introduction to Data Warehousing
• Dimensional Modelling
• Advanced SQL
• Olap Cubes
• Olap Cubes Practicals

This program is brought to you by Praxis B school

At the completion of this course, students will be able to build their career in Software Development, Testing, Administration, Building Data, Processing Systems and Data Warehousing.