Business Intelligence Course Overview:

Program Outcome:

The Business Intelligence course empowers interns with practical skills, enabling them to become proficient future professionals in the field. By engaging with real-world use cases, participants gain the ability to manipulate, analyze, and visualize data using tools like Excel, SQL, and Tableau. They will learn to leverage data for informed decision-making, calculate essential business metrics, forecast financial outcomes, and effectively contribute to organizational success.


Learning Objectives:

By the end of the program, interns will be able to:

  • Utilize Excel, SQL, and Tableau for data manipulation, analysis, and visualization.
  • Formulate data-driven questions and derive answers from the data.
  • Calculate key business metrics, interpreting their significance in financial analysis.
  • Forecast financial metrics using historical data and scenario analysis techniques.
  • Upload, manipulate, and query data within databases using SQL.


Target Group:

This course is tailored for interns aspiring to become adept Business Intelligence professionals. It suits those seeking proficiency in data manipulation, analysis, visualization, and forecasting for impactful decision-making within various business contexts.


What They Will Learn:

Participants will learn to:

  • Distinguish Business Intelligence from Data Science and comprehend BI team roles.
  • Identify popular BI tools and their roles in addressing business needs.
  • Grasp data visualization concepts and create purposeful visuals and dashboards.
  • Understand data types, storage, and efficient data joining for analysis.
  • Explore foundational metrics, functions, and data modeling principles.


Certificates

  • Training course certificate


Course curriculum

  • 1

    Chap 1: Introduction

    • Introduction To Business Intelligence

    • Data Visualization Concepts

    • Data Concepts Types

    • Data Analysis Tools

    • Data Visualization Tools

  • 2

    Chap 2: Machine Learning And Data Science

    • What is Machine Learning

    • Machine Learning and Data Science Cycle

    • Data Preparation

    • Algorithm Selection

    • Validation Resampling

  • 3

    Chap 3: Power BI

    • What is Power BI

    • Power BI Charts

    • Power BI Dashboard

    • Power BI Report Builder

    • Data Modeling for Power BI

  • 4

    Quiz

    • Questions

    • Project