Professional certificate program in business analytics 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.
Who should take this course
This course is designed for the following professionals:
- Entry to senior level managers
- Entry to senior level techinical leaders
Learners are required to complete 3-6 weeks 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
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
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
- Statistics with R
- Introduction to Data
- Introduction to Probability
- Introduction to linear regression
- Foundations for inference and estimation
- Foundations for inference and hypothesis testing
- Linear Regression and Multiple Regression
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 Mining 1 - Machine Learning with R & Python - Introduction to NumPy - Introduction to Pandas - Slicing Data - Exploratory Data Analysis - Exploratory Data Analysis (Continue) - Missing Value Imputation and Outlier Analysis - Linear Regression Motivation - Linear Regression optimization objective - Linear Regression in Python - Introduction to Regression Tree - Introduction to Classification Tree - Measures of Selecting the best Split - Cluster Analysis - Hierarchical Clustering & k-Means Clustering - Customer segmentation in Telecom Industry using Cluster Analysis - k-Means clustering - Association Rules mining - Market Basket Analysis
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
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.