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IBM Business Intelligence (BI) Analyst

Rav Ahuja, Steve Ryan, Sandip Saha Joy, Murtaza Haider, Kevin McFaul, Ramesh Sannareddy, Lin Joyner, Rose Malcolm, Skill-Up EdTech Team, IBM Skills Network Team, and Dr. Pooja

Prepare for a career in the field of Business Intelligence (BI), and learn in-demand skills like SQL, Excel, and data management to get job-ready in less than 4 months, with no prior experience needed to get started.

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Prepare for a career in the field of Business Intelligence (BI), and learn in-demand skills like SQL, Excel, and data management to get job-ready in less than 4 months, with no prior experience needed to get started.

Business Intelligence analysts transform raw data into meaningful insights that drive strategic decision-making within an organization. They also prepare market intelligence and financial reports.

This program will teach you about data collection, analysis, visualization, and reporting - honing your skills in developing data models and deriving invaluable insights for making informed decisions. You will analyze data from a variety of data sources such as relational databases and data warehouses.

This program will not only help you start your career in business intelligence, but also provide a strong foundation for future career development in other paths such as data analytics, data science, data engineering, supply chain or healthcare.

You’ll also utilize the latest tools used by business intelligence analysts including Tableau, IBM Cognos, Google Looker, and Excel. You’ll apply statistical analysis methods to visualize data, create interactive dashboards and present data in a compelling manner.

Upon completion, you‘ll have a portfolio of projects and a Professional Certificate from IBM to showcase your expertise. You will also gain access to resources to help you in your BI Analyst job search, including resume development and interview preparation.

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What's inside

Nine courses

Business Intelligence (BI) Essentials

(0 hours)
This course provides a comprehensive introduction to business intelligence (BI), its key concepts, components, and the benefits and challenges of implementing BI solutions.
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Excel Basics for Data Analysis

Spreadsheet tools like Excel are essential for working with data. This course provides a basic working knowledge of Excel and how to use it for analyzing data. It is suitable for those interested in data analysis or data science, as well as anyone looking to use Excel for data analysis in their own domain. No prior experience with spreadsheets or coding is required.
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Data Visualization and Dashboards with Excel and Cognos

Learn how to create data visualizations and dashboards using spreadsheets and analytics tools. This course covers the first steps for telling a compelling story with your data using various types of charts and graphs. You'll learn the basics of visualizing data with Excel and IBM Cognos Analytics without writing any code.
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Introduction to Relational Databases (RDBMS)

(0 hours)
Are you ready to dive into the world of data engineering? This beginner level course will give you a solid understanding of how data is stored, processed, and accessed in relational databases (RDBMSes). You will work with different types of databases that are appropriate for various data processing requirements.
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SQL: A Practical Introduction for Querying Databases

(0 hours)
Much of the world's data lives in databases. SQL (Structured Query Language) is a powerful programming language used to communicate with and manipulate data in databases. This course teaches foundational and intermediate knowledge of SQL, along with relational database (RDBMS) concepts.
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Getting Started with Data Warehousing and BI Analytics

(0 hours)
Kickstart your Data Warehousing and Business Intelligence (BI) Analytics journey. You will learn to design, deploy, load, manage, and query data warehouses and data marts. You will also work with BI tools to analyze data in these repositories.
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Statistical Analysis Fundamentals using Excel

(0 hours)
This course introduces Data and Business professionals to statistical analysis and methods for data-driven decision-making. After completing this course, you will be able to apply descriptive and inferential analysis methods, use data visualization methods to communicate data, apply concepts of probability in real-life scenarios, and apply regression techniques to predict trends.
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Getting Started with Tableau

(0 hours)
This short course introduces Tableau Public, a leading data visualization tool. You will learn to import, explore, and visualize data, creating basic visualizations, interactive dashboards, and compelling stories. Practical exercises ensure that you gain skills employers are looking for.
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BI Analyst Capstone

(0 hours)
This capstone course in the BI Analyst program provides an opportunity to apply data analysis techniques to real-world datasets. Students will showcase their proficiency in BI tools and technologies through a project that demonstrates the impact of data-driven insights on decision-making and business performance. The course culminates in a final exam to assess knowledge gained throughout the program.
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Learning objectives

  • Build skills in sql queries, relational databases, data gathering and cleaning, data warehousing, data analysis and reporting techniques.
  • Apply statistical analysis methods to identify trends, create visualizations, and build dashboards using tableau, excel, cognos, and looker.
  • Generate valuable insights through data warehousing, profiling, and evaluation, leading to informed decision-making and process improvement.
  • Utilize bi analytics to consult with stakeholders, define goals, implement strategies, and develop effective projects for a rewarding career in bi.

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Time
1 hours
Level
Introductory
Via
Coursera
Institution
IBM
Instructors
Rav Ahuja
Steve Ryan
Sandip Saha Joy
Murtaza Haider
Kevin McFaul
Ramesh Sannareddy
Lin Joyner
Rose Malcolm
Skill-Up EdTech Team
IBM Skills Network Team
Dr. Pooja
Level
Introductory
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