Business Intelligence Analyst

4.2 ★★★★ ★

Business Intelligence Analyst

Name: Business Intelligence Analyst Course
Rating: 4.2 (361 reviews)
Author: Oscar Grant

Master Business Intelligence skills with our comprehensive Business Intelligence Analyst Course, covering everything from data science fundamentals to real-time BI, SQL, and data visualization.

updated on icon Updated on Jul, 2024

language icon Language - English

person icon Oscar Grant

category icon Business,Financial Analysis,Analysis & Strategy

Lectures -8

Duration -2.5 hours

4.2 ★★★★ ★

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Course Description

The Business Intelligence Analyst Course is designed to provide a thorough grounding in the principles and practices of business intelligence. Starting with an introduction to business intelligence, you'll explore real-time BI applications and delve into the essential statistical and data science concepts that underpin the field. The course then moves on to cover SQL fundamentals and database management essentials, ensuring you have a solid grasp of the tools and techniques used in data handling and analysis.

In the latter part of the course, you'll learn about data warehouse concepts and the critical role they play in storing and managing large volumes of data. You'll also gain hands-on experience with data visualization, a key component of business intelligence that helps transform complex data into actionable insights. The course concludes with an introduction to Python, one of the most popular programming languages used in data science and business intelligence today.

Throughout the Business Intelligence Analyst Course, you'll engage with a variety of learning materials and practical exercises designed to reinforce your understanding and skills. By the end of the course, you'll be equipped with the knowledge and tools necessary to excel in the fast-paced world of business intelligence.

Goals

Understand the core principles of business intelligence.
Apply real-time BI techniques to analyze data effectively.
Master fundamental statistics and data science concepts.
Utilize SQL for database management and data retrieval.
Implement data warehouse concepts in business intelligence projects.
Create compelling data visualizations to present insights.
Develop basic Python skills for business intelligence applications.

Prerequisites

Basic understanding of business concepts.
Familiarity with data analysis techniques.
Interest in learning business intelligence.
Eagerness to understand SQL and database management.
Desire to explore data warehouse concepts.
Willingness to develop Python programming skills.
Commitment to improving data visualization abilities.

Career Path

Business Intelligence Analyst
Data Analyst
Data Scientist
SQL Developer
Database Manager
Data Visualization Specialist
Python Programmer

Curriculum

Check out the detailed breakdown of what’s inside the course

Module 01: An Introduction to Business Intelligence
1 Lectures

An Introduction To Business Intelligence 22:52 22:52

Module 02: Real-time Business Intelligence
1 Lectures

Module 03: Fundamentals of Statistics and Data Science
1 Lectures

Module 04: Fundamentals of SQL
1 Lectures

Module 05: Database Management Essentials
1 Lectures

Module 06: Data Warehouse Concepts
1 Lectures

Module 07: Data Visualisation in Business Intelligence
1 Lectures

Module 08: Basics of Python
1 Lectures

Instructor Details

Oscar Grant

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Course Certificate

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