Curriculum

Introduction to Business Intelligence

  • Business Intelligence
    1. Data Integration
    2. Data Processing
    3. Data Presentation
    4. ETL Architecture

  • Introduction to Data Analytics
  • Types of Data Analytics
    1. Descriptive Analytics
    2. Diagnostic Analytics
    3. Predictive Analytics
    4. Prescriptive Analytics
  • Analytics & Applications
Working with IBM Cognos Analytics

  • Introduction to Cognos Analytics
  • Overview & Features
  • Connecting Cognos Analytics to Data Sources
    1. Working with Flat files
    2. 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
    1. Working with NUMPY
    2. Working with Pandas
    3. Introduction to Data Visualization
    4. Matplotlib , Seaborn
Supervised Learning-Regression

  • Predictive Analytics with Regression
    1. Introduction to Regression Analysis
    2. Linear Regression Analysis
    3. Building predictive models using regression analysis
Supervised Learning-Classification

  • Predictive Analytics with Classification
    1. Introduction to Classification Analysis
    2. 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