Explain to a potential learner why this course is important/interesting and what they can gain from taking your course.

This course is divided into six modules. It is recommended that you complete one module per week.

This module introduces you to the field of business intelligence (BI). You will gain insight into the key concepts of BI and understand its importance in modern business operations. You will explore the benefits and challenges of implementing BI solutions through various examples. You will also gain insight into how BI, data analytics, data science, and data engineering are different. Additionally, you will learn about the career opportunities and roles in BI and the skills and qualifications to develop a successful career in the BI field. By the end of the module, you will have a fundamental foundation in BI and be able to apply your knowledge to understand its significance in real-world business scenarios.

In this module, you will learn about the different types of data structures, file formats, sources of data, and the languages data professionals use in their day-to-day tasks. You will gain insight into various types of data repositories, such as databases, data warehouses, data marts, data lakes, and data pipelines. In addition, you will learn about the extract, transform, and load (ETL) process, which is used to extract, transform, and load data into data repositories. Finally, the module also provides an overview of big data and big data processing tools such as Apache Hadoop, Hadoop Distributed File System (HDFS), Hive, and Spark.

In this module, you will attempt a graded quiz to test and reinforce your understanding of the concepts covered in the course. The module also includes a glossary to enhance your comprehension of generative AI-related terms. Finally, this module will guide you toward the next steps in your learning journey. 

In this module, you will learn how to identify, gather, and import data from disparate sources. You will learn about the tasks involved in wrangling and cleaning data to prepare it for analysis. In addition, you will learn about different tools that can be used for gathering, importing, wrangling, and cleaning data, along with some of their characteristics, strengths, limitations, and applications.

In this module, you will learn about the role of statistical analysis in mining and visualizing data. You will also be introduced to various statistical and analytical tools and techniques that can be used to gain a deeper understanding of your data. These tools help you analyze the patterns, trends, and correlations in data. Additionally, you will learn about various types of data visualizations to communicate and tell a compelling story and different tools that can be used for mining and visualizing data, along with some of their characteristics, strengths, limitations, and applications. Finally, the module delves into how you can effectively present the BI insights you have gained.

In this module, you will identify and apply the right BI techniques and tools to various real-world business scenarios and develop a comprehensive BI project. You will also gain the opportunity to apply your acquired knowledge and skills in a hands-on assignment. 

This course is for you if you are:

This course is relevant for anyone interested in exploring the field of business intelligence and does not require any specific prerequisites or experience in data analysis or related fields.

The course uses simple, easy-to-understand language to explain the important concepts of BI without relying on technical jargon. The hands-on lab and activities don’t require any programming experience. Additionally, no specific education degree is required.

To derive maximum learning from this course, you only require active participation in and completion of the various learning engagements offered across the modules.