This Post Graduate Program in Data Science and Data Visualization - designed by veterans in the Analytics industry helps to establish a decent career in the growing Data and Analytics domain. This uniquely blended Program is brought to you by Praxis, a Top-ranked Analytics B-School in India.
Who should take this course
This course is designed for the following professionals:
- Entry to senior techical level managers
- Senior techinical leaders
Learners are required to complete 6-12 months of faculty led Online mode.
The following are the modules 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
Data Visualization with Tableau - Need for visualizing data - Research methodologies - Importance of Big data visualization - Tableau product offerings - Installation of Tableau Public - Working with Tableau - Live Case study/Discussion - Creating interactive dashboards with Tableau Public - Case study discussion - Story Boarding with Tableau Public - Case study discussion - Geomapping in Tableau - Qlik view - Basics - Google charts - Basics - Dynamic charts with Google Docs - Supplementary material & Case study discussion - Closing session & Queries
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 - Artificial Intelligence & Deep Learning - Industry Practices
About Course Provider
361DM is a learning science and digital education-oriented company run by professionals with over 2 decades of experience in the tech-enabled learning industry. 361DM works with corporate, institutions, universities across the world, and has designed and delivered learning programs to over 100000 students and executives in the last decade. We help higher education institutions and corporate organizations architect a robust digital strategy.