Curriculum
Externship Program - Data Analytics
Module-1: Introduction
to Business Intelligence
- Business Intelligence Overview
- 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
Module-2: Working with IBM Cognos Analytics
- Introduction to Cognos Analytics
- Overview & Features
- Connecting Cognos Analytics to Data Sources
- Working with Flat files
- Connecting spreadsheets
Module-3: Cognos Analytics in Action
- Exploratory Data Analysis EDA with Cognos Analytics
- Data Preprocessing
Module-4: Present Data in Cognos Analytics
- Creating Analytical Dashboards
- Generate personalized Reports & Story
Module-5: Python for Data Science
- Basics of Python
- Working with Data Structures
- Conditional Constructs
- Functions
- Flow Controls
Module-6: Data Exploration & Visualization
- Python Packages
- Working with NUMPY
- Working with Pandas
- Introduction to Data Visualization
- Introduction, Matplotlib, Seaborn & Plotly
- Basic Plotting with Pandas Profiling
- Matplotlib, Seaborn, Plotly
Module-7: Supervised Learning- Regression
- Predictive Analytics with Regression
- Introduction to Regression Analysis
- Linear Regression Analysis
- Building predictive models using regression analysis
Module-8: Supervised Learning- Classification
- Predictive Analytics with Classification
- Introduction to Classification Analysis
- Building predictive models using classification analysis
- KNN, Logistic Regression, SVM, Naive-Bayes
- Decision Tree & Random Forest
Module-9: Build & Deploy Web Application
- Introduction to different modes of deployment
- Working with Flask Framework
- Building application with flask framework
- Integrating Machine Learning model with web application
- Embedding Cognos Dashboard, Report & Story with web application