Business Intelligence   

Welcome to the Business Intelligence Analyst Career Academy. This comprehensive program is designed to equip aspiring analysts with the essential skills and knowledge needed to succeed in the rapidly evolving field of business intelligence (BI). Through this curriculum, you'll learn how to transform raw data into actionable insights, drive strategic decision-making, and improve business performance.

Throughout this program, you'll learn a wide array of BI tools and techniques, including data visualization, SQL querying, Excel analysis, and the fundamentals of data-driven decision-making. You’ll gain proficiency in popular BI platforms like Tableau, Power BI, and Google Analytics, as well as develop a deep understanding of data modeling, data analysis, and reporting.The Business Intelligence Analyst Career Academy includes the Microsoft Power BI Data Analyst Professional Certificate, the IBM Business Intelligence (BI) Analyst Professional Certificate, and a Tableau Business Intelligence Anaylst Professional Certificate as well as and 4 Guided Projects:

• Data Visualization in Tableau: Create Dashboards and Stories
• Data Cleaning in Excel: Techniques to Clean Messy Data
• Excel for Beginners: Sorting, Filtering and Data Validation
• Introduction to Data Analysis using Microsoft Excel

The course combines video lectures, interactive labs, and real-world projects to ensure you not only learn but apply your knowledge effectively. With guided assessments and feedback, you will build a robust portfolio that showcases your skills to potential employers.

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Business Intelligence analysts are highly sought after as more organizations rely on data-driven decision-making. Microsoft Power BI is the leading data analytics, business intelligence, and reporting tool in the field, used by 97% of Fortune 500 companies to make decisions based on data-driven insights and analytics.1 Prepare for a new career in this high-growth field with professional training from Microsoft — an industry-recognized leader in data analytics and business intelligence. You'll also have the option to learn how generative AI tools and techniques are used in business intelligence.

Through a mix of videos, assessments, and hands-on activities, you will engage with the key concepts of Power BI, transforming data into meaningful insights and creating compelling reports and dashboards. You will learn to prepare data in Excel for analysis in Power BI, form data models using the Star schema, perform calculations in DAX, and more.

When you complete this Professional Certificate, you’ll have tangible examples to talk about in your job interviews and you’ll also be prepared to take the industry-recognized PL-300: Microsoft Power BI Data Analyst certification exam.

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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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Whether you are just starting out or looking for a career change, the Tableau Business Intelligence Analytics Professional Certificate will prepare you for entry-level roles that require fundamental Tableau skills, such as business intelligence analyst roles. If you are detail-oriented and have an interest in looking for trends in data, this program is for you. Through hands-on, real-world scenarios, you learn how to use the Tableau platform to evaluate data to generate and present actionable business insights.

With this certification, you will be qualified to apply for a position in the business intelligence analyst field.

In this program, you’ll:

Craft problem statements, business requirement documents, and visual models.

Connect with various data sources and preprocess data in Tableau for enhanced quality and analysis.

Learn to utilize the benefits of Tableau’s analytics features for efficient reporting.

Learn to create advanced and spatial analytics data visualizations by integrating motion and multi-layer elements to effectively communicate insights to stakeholders.

Employ data storytelling principles and design techniques to craft compelling presentations that empower you to extract meaningful insights.

This program was developed by Tableau experts, designed to prepare you for a career in Business Intelligence Analytics and help you learn the most relevant skills.

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Use Tableau Web Authoring to create best practice dashboards and stories from data

In this Guided Project, you will:

Develop a best practice interactive dashboard for data exploration, including using dashboard actions for interactivity

Develop a best practice interactive dashboard for reporting, including using filters for interactivity

Develop a best practice data story to put across an argument, justified by data

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Rarely do analysts begin working with a dataset without cleansing it first. Having clean data will allow for the highest quality of information for strategic decision-making. Data cleaning is also a vital part of the data analytics process. Data Cleaning in Excel: Techniques to Clean Messy Data, is for a beginner audience with basic computing skills, typing, and using Excel web. In this 90-minute Guided Project, you will explore the principles of tidy data, apply built-in Excel features to clean data, and use Excel functions to perform text manipulation. To achieve this, we will clean up untidy data set of student data containing names, registration numbers, addresses, marks for three courses, averages, total, and grades. This project is unique because you will learn by doing through step-by-step instruction using a real-world scenario to equip you with foundational data analysis skills that are useful for reporting data.

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This 1-hour, project-based course is an introduction to spreadsheets. We’ll be using Excel on the Web in this project, which is the free spreadsheet program offered by Microsoft. However, all of the concepts that you will learn in this project will be applicable to other spreadsheet programs, such as LibreOffice Calc and Google Sheets.

We will cover the following concepts in a hands-on manner:

- Sorting tables of data
- Filtering data for faster access to key information
- Data-validation for minimising human error

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In this project, you will learn the foundation of data analysis with Microsoft Excel using sales data from a sample company. You will learn how to use sorting and filtering tools to reorganize your data and access specific information about your data. You will also learn about the use of functions like IF and VLOOKUP functions to create new data and relate data from different tables. Finally, you will learn how to create PivotTables to summarize and look at comparisons within your data. These skills will help you efficiently perform data analysis on many different types of data and give you the foundation to expand your toolbox as you explore other strategies for data analysis.

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