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The Business Intelligence Analyst Specialization Overview

CFI’s Business Intelligence Analyst (BIA) Specialization prepares you to discover the world of business intelligence through task-based learning with industry-leading, data analysis tools. Learn to visualize data with charts and graphs to create interactive and informative dashboards, and increase your productivity with the skills and knowledge to automate and streamline data transformation and analysis.

Program Overview

0 courses

14 required courses

97 Hours

Average completion time

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Your path to becoming a business analysis expert

This specialization consists of hands-on courses delivering practical, real-world data analysis and visualization skills using the latest tools and techniques.

Step 1.

Prep Courses (Optional)

To prepare for the specialization, take our optional prep course to learn or review the fundamentals.

Step 2.

10 Required Courses

Complete the core courses to build a strong foundation in business intelligence.

Step 3.

7 Elective Courses

Choose a minimum of 3 electives to explore more advanced topics and specialized subjects.

Get Specialized

Specializations allow narrow and deep focus on a targeted subject area, with particular attention to specific data analysis techniques and actionable skills.

They are designed to deepen your industry acumen and to prepare you for faster professional growth within the sector.

Skill Categories and Learning Objectives

1
32%
Data Visualization
2
28%
Data Transformation & Automation
3
25%
Data Modeling
4
15%
Coding
1
2
3
4
  1. 1.
    32%
    Data Visualization
  2. 2.
    28%
    Data Transformation & Automation
  3. 3.
    25%
    Data Modeling
  4. 4.
    15%
    Coding

Data Transformation & Automation

  • Use Power Query to perform efficient data transformations
  • Learn how to transform data from multiple sources, reducing manual errors, and saving valuable time in Excel, Tableau, and Power BI
  • Automate transformations to enable report refreshes at the click of a button

Data Visualization

  • Create stunning visuals that communicate key messages
  • Learn how to choose the right visual for the right type of data
  • Combine visuals to tell a story, allowing users to drill down into issues or trends using interactive dashboards.

Coding

  • Get hands on practice with DAX and SQL; two of the most widely used languages for data extraction, transformation, and modelling.
  • Create measures and metrics that help quantify the most important trends

Data Modeling

  • Learn how to supercharge your analysis using a data model
  • Understand how to structure your data for efficient analysis
  • Create measures and metrics that help quantify the most important trends

Taught by Industry Experts and Data Professionals

Sebastian Taylor

Sebastian Taylor

Seb started his career in risk management, managing the implementation and operations of quantitative energy hedging strategies. Having since worked in several different industries, from finance to retail and service, Seb’s business intelligence skills were developed within the realities of real-world business requirements.
Pavel Nacev

Pavel Nacev

Pavel’s passion is playing around with data and finding new and quicker ways to visually present and analyze it. Pavel routinely works with millions of rows of structured and unstructured data, transforming them into meaningful insights for business leaders.
Joseph Yeates

Joseph Yeates

Joseph is passionate about driving better decision making by creating, curating, and communicating insights from data. He has a degree in Business Administration and Finance, with further certifications in Business Analytics & Decision Making and Applied Database Administration & Design.

John Lee

John is an advocate of using data analytics to drive decision making. He has a degree in Business Administration - Management Information Systems as well as a diploma in Data Science.

Explore Your Career Options

Over 85% of executives, supervisors, and HR professionals agree that certified individuals bring value, gain credibility, and are seen as top performers.
* Source

  • Data Analyst

    Data Analyst

    Data Analysts analyze data from various sources by creating data models and metrics. They collect, transform, and format data for analysis and sharing.
  • Business Intelligence Specialist

    Business Intelligence Specialist

    Business Intelligence specialists who receive a business intelligence analyst certification use a wider skill set, including SQL and Data Visualization. Yet, Excel remains popular for quick calculations and basic data models.
  • Data Scientist

    Data Scientist

    Data Scientists use a variety of tools to analyze data and create predictive data models. Again, Excel is a useful tool to manipulate data science and interrogate smaller datasets.
  • Finance Analyst

    Finance Analyst

    Finance analysts perform many of the same tasks as data analysts, but by using finance specific data. Microsoft Excel is, by a significant margin, the most widely used analysis tool in finance.

Our Learners Work At:

What Our Students Say

Over 75% of CFI learners report improved productivity or competency within weeks.

Exposed me to Business Intelligence concepts I previously had little knowledge about. The courses are so engaging, interesting and practical that I had to go through it twice before taking the test.

Felix Michael

This was one of the best if not the best online course I’ve taken with CFI. I’m glad I could build such an advanced dashboard while understanding more concepts in Tableau.

Jacques Antoine

As a regular Power BI user, I found the content of this course intuitive to follow. Important concepts were divulged in-depth, with a highlight on best practices.

Jude Baguio

This course further solidified my grasp of Tableau by introducing complex visuals that are applicable to real-world corporate applications intuitively.

Jude Baguio

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Frequently Asked Questions

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If you haven’t found your answer from our FAQ, please send us a message.