IBM - Business Intelligence (BI) Essentials
- Offered byCoursera
Business Intelligence (BI) Essentials at Coursera Overview
Duration | 14 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Business Intelligence (BI) Essentials at Coursera Highlights
- Earn a certificate of compeltion
- Add to your LinkedIn profile
Business Intelligence (BI) Essentials at Coursera Course details
- What you'll learn
- Explain the concept of business intelligence (BI), the key components and challenges involved, and the career options in this field.
- Describe data analytics and its significance in BI, recognizing its role in extracting insights from data.
- Evaluate different business intelligence tools and technologies used to analyze the business context and requirements of a BI project.
- Develop actionable insights using appropriate tools and techniques for data gathering, wrangling, analyzing, mining, visualizing, and reporting.
- This course provides a comprehensive introduction to business intelligence (BI), its key concepts, components, and the benefits and challenges of implementing BI solutions. It also discusses career opportunities and roles available in the BI arena and the skills and qualifications required.
- You will also gain insight into the data ecosystem, BI analytics landscape, data repositories, and the extract, transform, and load (ETL) process. Additionally, you will be introduced to the role of statistical analysis in mining and visualizing data to identify patterns and trends and how to weave a compelling story with data.
- The course offers practical exposure with hands-on activities and a final project that enables you to apply your knowledge in real-world scenarios. This specialized program is tailored for individuals interested in pursuing a career as a BI analyst, and no prior data analytics experience or degree is required to take this course.
Business Intelligence (BI) Essentials at Coursera Curriculum
Introduction to Business Intelligence (BI)
Overview of IBM BI Analyst Professional Certificate
Course Introduction
What Is Business Intelligence?
BI, Data Analytics, Data Science, and Data Engineering: A Comparison
Benefits of Business Intelligence
Data Professional Roles
Roles in Business Intelligence
Career Opportunities and Paths in BI Analytics
A Day in the Life of a BI Analyst
Course Overview
Helpful Tips for Course Completion
Summary and Highlights
Summary and Highlights
Graded Quiz: Overview of Business Intelligence
Graded Quiz: Career Opportunities and Roles in Business Intelligence
Practice Quiz: Overview of Business Intelligence
Practice Quiz: Career Opportunities and Roles in Business Intelligence
Breaking the Ice
Storyline Activity: Advantages of BI
Reading: Differences Between BI Analyst, Data Analyst, Data Engineer, and Data Scientist Roles
Storyline Activity: Journey of a BI Analyst
Module 1 Glossary: Introduction to Business Intelligence (BI)
The Data Ecosystem
Overview of the Data Analyst Ecosystem
Types of Data
Understanding Different Types of File Formats
Sources of Data
Viewpoints: Working with Varied Data Sources and Types
Languages for Data Professionals
Overview of Data Repositories
RDBMS
NoSQL
Data Marts, Data Lakes, ETL, and Data Pipelines
(Optional): Data Lakehouses Explained
Introduction to Data Modeling
Foundations of Big Data
Big Data Processing Tools: Hadoop, HDFS, Hive, and Spark
Viewpoints: Considerations for Choice of Data Repository
Data Integration Platforms
Viewpoints: Tools, Databases, and Data Repositories of Choice
Summary and Highlights
Summary and Highlights
Practice Quiz: The Data Ecosystem and Languages for Data Professionals
Practice Quiz: Understanding Data Repositories and Big Data Platforms
Graded Quiz: The Data Ecosystem and Languages for Data Professionals
Graded Quiz: Understanding Data Repositories and Big Data Platforms
Reading: Metadata and Metadata Management
Module 2 Glossary: The Data Ecosystem
BI Analytics Landscape
Key Performance Indicators (KPIs) and Metrics
Descriptive Analytics
Diagnostic Analytics
Predictive Analytics
Prescriptive Analytics
Challenges in Implementing Business Intelligence
Key Components of BI
Categories of BI Tools
Understanding Business Context and Requirements for BI Projects
Privacy and Security Issues Regulatory Compliance
Summary and Highlights
Summary and Highlights
Graded Quiz: Types of Analytics and Metrics in BI
Graded Quiz: Business Intelligence Components, Tools and Practices
Practice Quiz: Types of Analytics and Metrics in BI
Practice Quiz: Business Intelligence Components, Tools and Practices
Storyline Activity: Identifying Suitable Key Performance Indicators (KPIs)
Reading: Differences between the four types of analytics
Storyline Activity: Differentiate between descriptive, diagnostic, predictive, and prescriptive analytics
Storyline Activity: Explore Components of BI
Reading: Overview of BI Ecosystem
Reading: (Optional) Some Dashboard and Visualization Tools
Module 3 Glossary: BI Analytics Landscape
Gathering and Wrangling Data
Identifying Data for Analysis
Data Sources
How to Gather and Import Data
What is Data Wrangling?
Tools for Data Wrangling
Data Cleaning
Viewpoints: Data Preparation and Reliability
Summary and Highlights
Summary and Highlights
Practice Quiz: Gathering Data
Practice Quiz: Wrangling Data
Graded Quiz: Gathering Data
Graded Quiz: Wrangling Data
Reading: Introduction to the Business Intelligence Process
Module 4 Glossary: Gathering and Wrangling Data
Mining and Visualizing Data and Communicating Results
Overview of Statistical Analysis
What is Data Mining?
Tools for Data Mining
Overview of Communicating and Sharing Data Analysis Findings
Viewpoints: Storytelling in Data Analysis
Introduction to Data Visualization
Introduction to Visualization and Dashboarding Software
Viewpoints: Visualization Tools
Data Visualization Techniques
Summary and Highlights
Summary and Highlights
Practice Quiz: Analyzing and Mining Data
Practice Quiz: Communicating Data Analysis Findings
Graded Quiz: Analyzing and Mining Data
Graded Quiz: Communicating Data Analysis Findings
Visualizing Data and Communicating Findings
Reading: Effective Communication of BI Insights
Module 5 Glossary: Mining and Visualizing Data and Communicating Results
Applying BI Techniques and Final Project
Developing a Comprehensive BI Project
Summary and Highlights
Instructions for the Final Exam
Congratulations and Next Steps
Team and Acknowledgments
Final Project Assignment
Final Exam: Business Intelligence (BI) Essentials
Practice Quiz: Applying BI Techniques and Tools to Develop a Project
Reading: Applying BI Techniques and Tools
Case Study: Developing a BI Project
Lab: Exploring Job Listings for BI Professionals
Final Project: Scenario
Course Glossary: Business Intelligence (BI) Essentials
Business Intelligence (BI) Essentials at Coursera Admission Process
Important Dates
Other courses offered by Coursera
Student Forum
Anything you would want to ask experts?