Sorry, this page is no longer available
We may earn an affiliate commission when you visit our partners.
Course image
365 Careers

Hi. Welcome to The Business Intelligence Analyst Course, the only course you need to become a BI Analyst. 

We are proud to present you this one-of-a-kind opportunity. There are several online courses teaching some of the skills related to the BI Analyst profession. The truth of the matter is that none of them completely prepare you.

Our program is different than the rest of the materials available online.  

It is truly comprehensive. The Business Intelligence Analyst Course comprises of several modules:   

Read more

Hi. Welcome to The Business Intelligence Analyst Course, the only course you need to become a BI Analyst. 

We are proud to present you this one-of-a-kind opportunity. There are several online courses teaching some of the skills related to the BI Analyst profession. The truth of the matter is that none of them completely prepare you.

Our program is different than the rest of the materials available online.  

It is truly comprehensive. The Business Intelligence Analyst Course comprises of several modules:   

  • Introduction to Data and Data Science   

  • Statistics and Excel  

  • Database theory  

  • SQL  

  • Tableau  

  • SQL + Tableau  

These are the precise technical skills recruiters are looking for when hiring BI Analysts. And today, you have the chance of acquiring an invaluable advantage to get ahead of other candidates. This course will be the secret to your success. And your success is our success, so let’s make it happen.  

Here are some more details of what you get with The Business Intelligence Analyst Course:   

  • Introduction to Data and Data Science – Make sense of terms like business intelligence, traditional and big data, traditional statistical methods, machine learning, predictive analytics, supervised learning, unsupervised learning, reinforcement learning, and many more;   

  • Statistics and Excel – Understand statistical testing and build a solid foundation. Modern software packages and programming languages are automating most of these activities, but this part of the course gives you something more valuable – critical thinking abilities;  

  • Database theory – Before you start using SQL, it is highly beneficial to learn about the underlying database theory and acquire an understanding of why databases are created and how they can help us manage data   

  • SQL - when you can work with SQL, it means you don’t have to rely on others sending you data and executing queries for you. You can do that on your own. This allows you to be independent and dig deeper into the data to obtain the answers to questions that might improve the way your company does its business   

  • Tableau – one of the most powerful and intuitive data visualization tools available out there. Almost all large companies use such tools to enhance their BI capabilities. Tableau is the #1 best-in-class solution that helps you create powerful charts and dashboards  

  • Learning a programming language is meaningless without putting it to use. That’s why we integrate SQL and Tableau, and perform several real-life Business Intelligence tasks   

Sounds amazing, right?   

Our courses are unique because our team works hard to:   

  • Pre-script the entire content    

  • Work with real-life examples  

  • Provide easy to understand and complete explanations  

  • Create beautiful and engaging animations  

  • Prepare exercises, course notes, quizzes, and other materials that will enhance your course taking experience  

  • Be there for you and provide support whenever necessary  

We love teaching and we are really excited about this journey. It will get your foot in the door of an exciting and rising profession. Don’t hesitate and subscribe today. The only regret you will have is that you didn’t find this course sooner.

Enroll now

What's inside

Learning objectives

  • Become an expert in statistics, sql, tableau, and problem solving
  • Boost your resume with in-demand skills
  • Gather, organize, analyze and visualize data
  • Use data for improved business decision-making
  • Present information in the form of metrics, kpis, reports, and dashboards
  • Perform quantitative and qualitative business analysis
  • Analyze current and historical data
  • Discover how to find trends, market conditions, and research competitor positioning
  • Understand the fundamentals of database theory
  • Use sql to create, design, and manipulate sql databases
  • Extract data from a database writing your own queries
  • Create powerful professional visualizations in tableau
  • Combine sql and tableau to visualize data from the source
  • Solve real-world business analysis tasks in sql and tableau
  • Show more
  • Show less

Syllabus

Part 1: Introduction
What Does the Course Cover
Download All Resources
Intro to Data and Data Science - The Different Data Science Fields
Read more

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Helps learners boost their resume with in-demand skills
Develops problem solving, a core skill in data-driven careers
Introduces learners to data and data science fundamentals
Taught by 365 Careers, an established institution
Emphasizes the importance of critical thinking abilities
Topics are highly relevant to industry

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.
Save

Reviews summary

Comprehensive practical business intelligence training

According to learners, this course offers a highly comprehensive and practical approach to becoming a Business Intelligence Analyst. Many highlight the well-structured lectures and clear explanations provided by the instructors. The course is frequently praised for its hands-on projects and emphasis on real-world examples, particularly in the SQL and Tableau modules, which are considered core strengths. Students report gaining a solid foundation in data science concepts, statistics, and database theory, making it an excellent resource for those new to the field or looking to transition careers. While widely seen as beneficial for beginners and intermediate learners, some more advanced students suggested a desire for deeper dives into certain complex topics.
Ideal for those new to Business Intelligence and data.
"Definitely recommend for career changers looking to get into BI."
"For complete beginners, it's perfect, providing a solid foundation."
"This course has given me a clear path into the BI field, even with no prior experience."
Instructor's teaching style makes complex topics accessible.
"The instructor breaks down complex concepts clearly."
"As someone completely new to data, this course was a godsend. The statistics and Excel parts were perfectly explained."
"I found the explanations easy to follow and the projects relevant."
Focuses on hands-on exercises and real-world scenarios.
"The SQL and Tableau sections are incredibly practical, and the instructor breaks down complex concepts clearly. I especially appreciated the hands-on exercises."
"I loved how everything was integrated. Learning SQL and then immediately applying it in Tableau made so much sense."
"The real-life examples throughout the SQL and Tableau modules were invaluable; I feel much more confident applying these skills."
Covers essential BI skills from foundation to application.
"This course truly lives up to its name; from database theory to practical Tableau dashboards, everything is covered."
"I appreciate the comprehensive nature of the course. It covers all crucial aspects of a BI analyst role from statistics to SQL and Tableau."
"It's a fantastic course that covers a vast range of topics needed for BI, making it genuinely comprehensive."
Some sections could benefit from more advanced topics.
"Some parts felt a bit rushed, especially the more advanced SQL queries. Intermediate users might find some sections too basic."
"I wished there were more challenging projects that mimic real-world messiness."
"My only minor feedback is that some sections could have more depth or alternative approaches discussed for complex problems."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in The Business Intelligence Analyst Course 2024 with these activities:
Review Statistics Concepts
Strengthen your foundation in statistics by reviewing key concepts, ensuring that you have a solid understanding of the fundamentals.
Browse courses on Statistics
Show steps
  • Go over probability distributions, measures of central tendency, and statistical inference.
  • Solve practice problems to test your understanding.
Practice SQL Coding
Refresh your SQL coding skills by practicing writing queries and manipulating data, ensuring that you're comfortable with the syntax and commands.
Browse courses on SQL
Show steps
  • Review the basic syntax and structure of SQL queries.
  • Write queries to create, select, update, and delete data from tables.
  • Use aggregate functions, joins, and subqueries to retrieve and manipulate data effectively.
Create a Tableau Visualization
Enhance your data storytelling abilities by creating an interactive Tableau visualization that effectively communicates insights.
Browse courses on Tableau
Show steps
  • Import data into Tableau.
  • Create charts and graphs to represent the data.
  • Use filters and parameters to allow users to explore the data.
  • Design dashboards to present the visualizations in a cohesive manner.
  • Share the visualization with others and gather feedback.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice SQL Queries
Increase your proficiency in writing effective SQL queries by completing a series of practice exercises.
Browse courses on SQL
Show steps
  • Review the SQL syntax and commands.
  • Connect to a database using a SQL client.
  • Write and execute simple queries to retrieve data.
  • Use aggregate functions and joins to manipulate data.
  • Troubleshoot and optimize your queries for efficiency.
Assist Fellow Learners
Reinforce your understanding of the course material by assisting fellow learners, answering their questions, and providing guidance.
Show steps
  • Identify a platform or forum where you can connect with other learners.
  • Actively participate in discussions and offer help to those who need it.
  • Provide constructive feedback and support to enhance the learning experience of others.
Build a Data Analysis Project
Demonstrate your comprehensive understanding of data analysis by completing a project that involves data collection, cleaning, analysis, and interpretation.
Browse courses on Data Analysis
Show steps
  • Define the problem statement and research question.
  • Collect and clean the data.
  • Explore and analyze the data using statistical methods and visualization techniques.
  • Develop insights and recommendations based on the analysis.
  • Present your findings in a report or presentation.
Develop a Business Intelligence Solution
Apply the concepts and skills learned in the course to create a real-world business intelligence solution that solves a specific problem or improves decision-making.
Browse courses on Business Intelligence
Show steps
  • Identify a business problem or opportunity.
  • Gather and analyze data from multiple sources.
  • Develop a solution that leverages data analysis and visualization techniques.
  • Implement the solution and monitor its impact.
  • Evaluate the results and make improvements as needed.

Career center

Learners who complete The Business Intelligence Analyst Course 2024 will develop knowledge and skills that may be useful to these careers:
Business Intelligence Analyst
Business Intelligence Analysts gather, manage, and analyze data to help companies better understand their operations and customers. With a foundation in statistics and familiarity with tools like SQL and Tableau, graduates of The Business Intelligence Analyst Course are well-prepared to launch careers in this field and succeed in this role.
Data Analyst
Data Analysts use data to solve business problems and improve decision-making. This course provides a solid foundation in data analysis techniques, including statistics, data visualization, and data mining. Graduates will be able to use their skills to identify trends, patterns, and insights in data.
Data Scientist
Data Scientists use their expertise in statistics, machine learning, and data visualization to extract insights from data. This course provides a strong foundation in the fundamentals of data science, including data wrangling, data analysis, and machine learning algorithms. Graduates will be able to use their skills to build predictive models, develop data-driven solutions, and improve business outcomes.
Statistician
Statisticians use their knowledge of statistics to collect, analyze, and interpret data. This course provides a strong foundation in statistical methods, including hypothesis testing, regression analysis, and statistical modeling. Graduates will be able to use their skills to design experiments, analyze data, and draw conclusions from data.
Database Administrator
Database Administrators are responsible for the maintenance and performance of databases. This course provides a strong foundation in database theory and SQL, the standard language for accessing and manipulating data in databases. Graduates will be able to use their skills to design, implement, and maintain databases.
Market Researcher
Market Researchers use data to understand consumer behavior and market trends. This course provides a strong foundation in research methods, data analysis, and data visualization. Graduates will be able to use their skills to design and conduct market research studies, analyze data, and develop insights that can help businesses make better decisions.
Financial Analyst
Financial Analysts use data to analyze financial performance and make investment recommendations. This course provides a strong foundation in financial analysis techniques, including financial modeling, valuation, and risk assessment. Graduates will be able to use their skills to analyze financial statements, develop investment strategies, and make sound investment decisions.
Operations Research Analyst
Operations Research Analysts use data to improve the efficiency and effectiveness of business operations. This course provides a strong foundation in operations research techniques, including linear programming, simulation, and queuing theory. Graduates will be able to use their skills to analyze business processes, identify inefficiencies, and develop solutions to improve performance.
Quantitative Analyst
Quantitative Analysts use data to develop and implement mathematical models to solve business problems. This course provides a strong foundation in quantitative analysis techniques, including statistics, machine learning, and optimization. Graduates will be able to use their skills to build models, analyze data, and develop solutions to complex business problems.
Risk Analyst
Risk Analysts use data to identify, assess, and mitigate risks. This course provides a strong foundation in risk management techniques, including risk assessment, risk modeling, and risk mitigation. Graduates will be able to use their skills to identify and assess risks, develop risk mitigation strategies, and improve risk management practices.
Actuary
Actuaries use data to assess and manage financial risks. This course provides a strong foundation in actuarial science, including probability, statistics, and financial mathematics. Graduates will be able to use their skills to develop and implement actuarial models, analyze financial risks, and make sound financial decisions.
Business Analyst
Business Analysts use data to analyze business processes and identify opportunities for improvement. This course provides a strong foundation in business analysis techniques, including process mapping, data analysis, and stakeholder management. Graduates will be able to use their skills to analyze business processes, identify inefficiencies, and develop solutions to improve performance.
Management Consultant
Management Consultants use data to help organizations improve their performance. This course provides a strong foundation in management consulting techniques, including problem solving, data analysis, and stakeholder management. Graduates will be able to use their skills to identify and solve business problems, develop solutions, and improve organizational performance.
Software Engineer
Software Engineers use data to design and develop software applications. This course provides a strong foundation in software engineering principles, including data structures, algorithms, and software design. Graduates will be able to use their skills to design, develop, and implement software applications that meet the needs of users.
Data Engineer
Data Engineers use data to build and maintain data pipelines. This course provides a strong foundation in data engineering principles, including data warehousing, data integration, and data quality. Graduates will be able to use their skills to design, build, and maintain data pipelines that provide data to businesses for analysis and decision-making.

Reading list

We've selected 13 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in The Business Intelligence Analyst Course 2024.
Provides an overview of business intelligence concepts and techniques, and how they can be used to improve decision-making. A good complement to the course's focus on a practical rather than theoretical approach to business intelligence.
Good resource for reinforcing the fundamentals of data science and analytics, which are covered in the course's Introduction to Data and Data Science module.
Provides an introduction to statistics and how to apply them in the real world. It good resource to supplement the course's Statistics and Excel module.
Complements the course's focus on practical applications of business intelligence by providing case studies and examples of how data science is used in businesses.
Provides a high-level overview of business intelligence and its applications in various industries. Useful for learners seeking to understand the broader context of business intelligence beyond the technical skills covered in the course.
Provides an introduction to machine learning with Python. While machine learning is not covered explicitly in the course, it related field that can be of interest to learners seeking to expand their knowledge in data analysis.
Provides a comprehensive overview of data warehousing concepts and technologies. While data warehousing is not explicitly covered in the course, it related topic that can enhance learners' understanding of data management.
Provides a comprehensive overview of big data analytics, which topic briefly discussed in the course's Introduction to Data and Data Science module. This book would be useful for learners interested in learning more about big data analytics specifically.
Provides an introduction to R programming for data science. While R is not covered in the course, it popular language for data analysis and can be a useful addition to a data analyst's skillset.
Can provide learners with an introduction to Python programming. While Python is not covered explicitly in the course, having familiarity with Python can be beneficial to learners in the long run, and this book is an accessible introduction to Python for those new to coding.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Similar courses are unavailable at this time. Please try again later.
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser