Data Management and Analytics

Data Management & Analytics Training

Course Overview

This course is designed to provide students with a comprehensive understanding of data management and analytics. Students will learn about the fundamentals of data management, data warehousing, data modeling, data integration, and data quality. They will also learn about various data analytics techniques, including descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics. The course will cover a range of tools and technologies used in data management and analytics, including SQL, ETL tools, data visualization tools, and business intelligence (BI) tools.

480 Hours of Sessions

240 Hours of Labs

Flexible Schedule

Free Demo On Request

24/7 Lifetime Support

One-on-One Doubt Clearing

Couse Outline

Introduction to Data Management and Analytics

Overview of data management and analytics
The role of data management and analytics in business decision-making
Advantages and challenges of using data management and analytics

Fundamentals of Data Management

Data management concepts and terminology
Data warehousing and data modeling
Data integration and data quality

SQL for Data Management

Introduction to SQL
Retrieving and modifying data using SQL
Creating and managing database objects using SQL

ETL Tools for Data Integration

Introduction to ETL (Extract, Transform, Load) tools
Building ETL pipelines
Understanding data transformation and mapping

Data Visualization and Business Intelligence (BI) Tools

Introduction to data visualization and BI tools
Creating dashboards and reports
Understanding data storytelling and data-driven decision making

Descriptive Analytics

Introduction to descriptive analytics
Analyzing and summarizing data
Using visualizations to communicate insights

Diagnostic Analytics

Introduction to diagnostic analytics
Understanding cause-and-effect relationships
Using data to identify root causes of problems

Predictive Analytics

Introduction to predictive analytics
Understanding data patterns and trends
Building predictive models using machine learning algorithms

Prescriptive Analytics

Introduction to prescriptive analytics
Making data-driven decisions
Applying optimization techniques to solve complex business problems

Request for more information

Hands on Project Work and Presentations

Students will apply the skills and knowledge gained in the course to design and develop a data management and analytics project. They will present their projects to the class, and receive feedback from their peers and the instructor.