What is Business Intelligence Analyst Course?

The Business Intelligence Analyst course from Oakwood is designed to equip professionals with the skills needed to analyse data and generate insights that inform strategic decision-making within an organisation. This comprehensive course covers key business intelligence tools, techniques, and methodologies, helping you to extract, interpret, and present data in a way that adds value to your business.

The course is ideal for professionals seeking to advance their career in data analysis and business intelligence, including those working in roles such as analysts, managers, or consultants. By the end of the training, learners will have the confidence and ability to use BI tools to extract, analyse, and present data effectively, contributing to better business decisions.

Through this 1-day training, learners will gain practical experience with data analysis, reporting tools, and visualisation techniques. You will learn how to work with large datasets, use Business Intelligence (BI) software, and apply statistical analysis to uncover trends, patterns, and opportunities. The course also covers how to turn complex data into actionable insights that can drive business growth and operational efficiency.
 

Course Objectives
 

  • To develop proficiency in using Business Intelligence tools and software

  • To understand data collection, data warehousing, and data analysis techniques

  • To learn how to generate actionable insights from complex datasets

  • To create effective data visualisations and dashboards

  • To apply statistical analysis to identify trends and patterns

  • To contribute to data-driven decision-making processes within an organisation

Upon completion of the course, learners will be prepared to take on more advanced BI roles and use their skills to optimise business strategies and improve organisational performance.

Course Outline

Business Intelligence Analyst Course

Module 1: Introduction to Business Intelligence

  • Overview of Business Intelligence (BI)

  • Role of Data in Business Decision-Making

  • Introduction to BI Tools and Technologies

  • Understanding Data Sources: Structured Vs Unstructured Data
     

Module 2: Data Warehousing and ETL Processes

  • Introduction to Data Warehousing

  • ETL Fundamentals

  • Data Warehouse Design and Dimensional Modelling

  • Data Mart Vs Data Warehouse
     

Module 3: Data Analytics and Visualisation

  • Fundamentals of Data Analysis and Statistical Techniques

  • Introduction to Data Visualisation Tools

  • Crafting Effective Visualisations

  • Interactive Dashboards and Data Storytelling
     

Module 4: SQL for Business Intelligence

  • Basics of SQL

  • SQL Techniques for Data Analysis

  • SQL Functions and Stored Procedures for BI Tasks

  • Optimising SQL Queries for Performance

  • Data Manipulation and Analysis Using SQL
     

Module 5: Introduction to Business Analytics with Python

  • Python Basics for Data Analysis

  • Data Manipulation with Pandas

  • Introduction to Predictive Analytics with Python
     

Module 6: BI Tools and Technologies

  • Overview of Popular BI and Analytics Tools

  • Data Connection, Visualisation, and Dashboard Creation

  • Exploring Power BI: Data Modelling, Reporting, and Publishing

  • Introduction to Qlik Sense

  • Comparative Analysis of BI Tool
     

Module 7: Project Management and Collaboration in BI

  • Fundamentals of Project Management for BI Projects

  • Collaboration Techniques and Tools for BI Teams

  • Stakeholder Management and Communication Strategies

  • BI Project Lifecycle

Included

Included

  • No course includes are available.

Offered In This Course:

  • vedio Video Content
  • elearning eLearning Materials
  • exam Study Resources
  • certificate Completion Certificate
  • study Tutor Support
  • workbook Interactive Quizzes
Individual Training

Individual Training fosters personal growth, enhances professional skills, and builds confidence.

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Corporate Training

Corporate Training improves employee skills, increases productivity, and aligns teams with company objectives.

Learning Options

Discover a range of flexible learning options designed to meet your needs. Select the format that best supports your personal growth and goals.

Online Instructor-Led Training

  • Live virtual classes led by experienced trainers, offering real-time interaction and guidance for optimal learning outcomes.

Online Self-Paced Training

  • Flexible learning at your own pace, with access to comprehensive course materials and resources available anytime, anywhere.

Build your future with Oakwood International

We empower you with the skills, knowledge, and confidence to excel in your career. Join us and take the first step towards realising your professional goals.

Frequently Asked Questions

Q. What skills will I gain from the Business Intelligence Analyst Course?

You will gain the ability to use Business Intelligence tools, analyse large datasets, identify trends, and present data visually. You’ll also learn how to generate actionable insights that support decision-making and business growth.

Q. Do I need prior experience in data analysis to take this course?

While prior experience in data analysis is helpful, it’s not mandatory. The course is suitable for both beginners and professionals looking to enhance their BI skills, covering fundamental to advanced techniques.

Q. How long is the Business Intelligence Analyst course?

The course lasts for 3 days, providing intensive training on BI tools, data analysis techniques, and data visualisation methods to help you develop the skills needed to excel in a BI role.

Q. What tools and software will be covered in the course?

You will gain hands-on experience with popular BI tools such as Microsoft Power BI, Tableau, and Excel, along with other essential software used for data analysis, reporting, and visualisation.

Q. How can this course help improve my career prospects?

Upon completion, you will have a solid understanding of BI techniques and tools, making you well-equipped for roles such as Business Intelligence Analyst, Data Analyst, and Business Analyst, all of which are in high demand across industries.

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