Curriculum
Introduction to Business Intelligence
- Business Intelligence
- Data Integration
- Data Processing
- Data Presentation
- ETL Architecture
- Introduction to Data Analytics
- Types of Data Analytics
- Descriptive Analytics
- Diagnostic Analytics
- Predictive Analytics
- Prescriptive Analytics
- Analytics & Applications
Working with IBM Cognos Analytics
- Introduction to Cognos Analytics
- Overview & Features
- Connecting Cognos Analytics to Data Sources
- Working with Flat files
- Connecting spreadsheets
Data Extraction
- Introduction to Database
- Create IBM DB2 Service
- Creating Database & Table
- CRUD Operation on database tables
Cognos Analytics in Action
- Exploratory Data Analysis EDA with Cognos Analytics
- Data Preprocessing
Present Data in Cognos Analytics
- Creating Analytical Dashboards
- Generate personalized Reports & Story
Python for Data Science
- Basics of Python
- Working with Data Structures
- Conditional Constructs
- Functions
Data Exploration & Visualization
- Python Packages
- Working with NUMPY
- Working with Pandas
- Introduction to Data Visualization
- Matplotlib , Seaborn
Supervised Learning-Regression
- Predictive Analytics with Regression
- Introduction to Regression Analysis
- Linear Regression Analysis
- Building predictive models using regression analysis
Supervised Learning-Classification
- Predictive Analytics with Classification
- Introduction to Classification Analysis
- Building predictive models using classification analysis-Logistic Regression,Decision Tree & Random Forest
Build & Deploy ML Application
- Introduction to different modes of development
- Working with Flask FrameWork
- Building application with flask framework
- Integrating Machine Learning model with web application
- Embedding Dashboard, Report & Story with web application