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The Introduction to Business Analytics teaches you the foundational skills in Tableau and business analytics. You will be introduced to essential concepts like analytics and insights and the foundational steps of the business analysis process. You’ll learn about the different types of analytics that businesses use, and you’ll be introduced to a data analytics lifecycle framework. You’ll also learn some of the foundational project management skills often used by analysts, and you’ll arrive at a greater understanding of data literacy.

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The Introduction to Business Analytics teaches you the foundational skills in Tableau and business analytics. You will be introduced to essential concepts like analytics and insights and the foundational steps of the business analysis process. You’ll learn about the different types of analytics that businesses use, and you’ll be introduced to a data analytics lifecycle framework. You’ll also learn some of the foundational project management skills often used by analysts, and you’ll arrive at a greater understanding of data literacy.

This course is for anyone who is curious about entry-level roles that demand fundamental Tableau skills, such as business intelligence analyst or data reporting analyst roles. It is recommended (but not required) that you have some experience with Tableau Public, but even if you're new to Tableau Public, you can still be successful in this program.

By the end of the course, you will be able to:

-Demonstrate a foundational knowledge of the business analyst role.

-Describe the data analytics lifecycle framework.

-Explain the foundational project management topics and skills used by a BI analyst.

-Describe data literacy and its importance for a BI analyst.

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What's inside

Syllabus

Introduction to Business Analytics
Welcome to Introduction to Business Analytics, the first course of the Tableau Business Intelligence Analyst Professional Certificate! By enrolling in this course, you are taking the first step in starting your career in business intelligence analytics. In the first week of the course, you'll learn more about business analytics and what a business intelligence analyst does. You'll also start learning about a related field — business analysis. Let's get started!
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Data Analytics Lifecycle
Welcome to the second week of the Tableau Business Analyst Professional Certificate! Last week, you learned about the differences between business analysis, business analytics, and data analytics. This week, you're going to dive deeper into the role that analysts play in the data analytics lifecycle. Specifically, you will learn about real data-driven businesses, the importance that analytics has on business decision-making, and the various types of analytics used to solve business problems. In addition, you will see how analysts use the data analytics lifecycle in order to best reach their goals. Let's begin!
Project Management for Analysts
Welcome to the third week of the Tableau Business Analyst Professional Certificate! Last week, you learned about the data analytics lifecycle. Since project managers often work closely with business analysts, this week, you'll be learning about foundational project management concepts. Let's begin!
Data Literacy
Welcome to the fourth and final week of the Tableau Business Analyst Professional Certificate! Previously, you learned about the relationship between project management and business analysis. Now, it is time to learn about the importance of data literacy in the context of this certificate. Time to dive in!

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops foundational Tableau skills, which is highly relevant for business intelligence analysts and data reporting analysts
Taught by Tableau Learning Partner instructors, who are recognized for their work in Tableau
Examines foundational project management skills, which are core skills in BI

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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 Introduction to Business Analytics with these activities:
Read 'Business Intelligence and Data Mining' by David Hand
Introduces foundational concepts in data mining, data warehousing, and business intelligence.
Show steps
  • Read the introduction and first chapter
  • Review the book's table of contents and identify relevant sections
  • Read the selected sections and take notes on key points
Complete the Tableau Quickstart Tutorial
Provides hands-on experience with the Tableau interface and data visualization techniques.
Browse courses on Tableau
Show steps
  • Visit the Tableau website and create an account
  • Follow the instructions in the Quickstart Tutorial
  • Create a sample visualization using the provided dataset
Solve Tableau Exercises on Practice Platform
Reinforces understanding of Tableau functions and data analysis techniques through practice.
Browse courses on Tableau
Show steps
  • Identify a practice platform that offers Tableau exercises
  • Select exercises that align with your skill level
  • Attempt the exercises and review the solutions
Four other activities
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Participate in a Tableau User Group
Provides opportunities for collaboration, sharing knowledge, and staying updated with Tableau trends.
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Show steps
  • Find a local Tableau User Group
  • Attend meetings and participate in discussions
  • Share your experiences and insights with other members
Build a Data Visualization Dashboard
Applies learned skills to create a practical data visualization tool and showcase proficiency in Tableau.
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Show steps
  • Identify a dataset and define the project goals
  • Design the dashboard layout and visualizations
  • Develop the dashboard using Tableau
  • Test and refine the dashboard
Write a Tutorial on Tableau for Beginners
Deepens understanding of Tableau concepts by explaining them to others and reinforces retention.
Browse courses on Tableau
Show steps
  • Identify the key concepts to cover in the tutorial
  • Write clear and concise instructions
  • Include examples and visuals to illustrate the concepts
Develop a Business Intelligence Report
Tests comprehensive understanding of business analysis and data reporting principles.
Browse courses on Business Intelligence
Show steps
  • Define the report's purpose, audience, and scope
  • Gather and analyze data from various sources
  • Create visualizations and insights to support the analysis
  • Write a clear and concise report summarizing the findings

Career center

Learners who complete Introduction to Business Analytics will develop knowledge and skills that may be useful to these careers:
Data Analyst
A Data Analyst is responsible for collecting, cleaning, and analyzing data to help businesses make informed decisions. This course will provide you with the foundational skills you need to succeed in this role, including data analytics concepts and tools, project management skills, and data literacy. You will learn how to use Tableau to visualize data and communicate your findings effectively.
Business Analyst
A Business Analyst helps businesses improve their performance by analyzing data and identifying areas for improvement. This course will provide you with the skills you need to succeed in this role, including business analysis techniques, project management skills, and data literacy. You will learn how to use Tableau to visualize data and communicate your findings effectively.
Business Intelligence Analyst
A Business Intelligence Analyst helps businesses make better decisions by providing them with insights into their data. This course will provide you with the skills you need to succeed in this role, including data analytics concepts and tools, project management skills, and data literacy. You will learn how to use Tableau to visualize data and communicate your findings effectively.
Data Scientist
A Data Scientist uses statistical methods and machine learning to extract insights from data. This course may be useful for those who wish to enter this field, as it provides a foundation in data analytics concepts and tools. You will also learn how to use Tableau to visualize data and communicate your findings effectively.
Data Engineer
A Data Engineer builds and maintains the infrastructure that supports data analytics. This course may be useful for those who wish to enter this field, as it provides a foundation in data analytics concepts and tools. You will also learn how to use Tableau to visualize data and communicate your findings effectively.
Project Manager
A Project Manager plans and executes projects to achieve specific goals. This course will provide you with the foundational project management skills you need to succeed in this role, including project planning, risk management, and stakeholder management. You will also learn how to use Tableau to visualize data and communicate your findings effectively.
Data Visualization Specialist
A Data Visualization Specialist creates visual representations of data to help businesses communicate their findings effectively. This course will provide you with the skills you need to succeed in this role, including data visualization techniques, project management skills, and data literacy. You will learn how to use Tableau to visualize data and communicate your findings effectively.
Data Architect
A Data Architect designs and builds data systems to support business needs. This course may be useful for those who wish to enter this field, as it provides a foundation in data analytics concepts and tools. You will also learn how to use Tableau to visualize data and communicate your findings effectively.
Product Manager
A Product Manager is responsible for the development and launch of new products. This course may be useful for those who wish to enter this field, as it provides a foundation in data analytics concepts and tools. You will also learn how to use Tableau to visualize data and communicate your findings effectively.
Marketing Analyst
A Marketing Analyst helps businesses understand their customers and develop marketing campaigns. This course may be useful for those who wish to enter this field, as it provides a foundation in data analytics concepts and tools. You will also learn how to use Tableau to visualize data and communicate your findings effectively.
Financial Analyst
A Financial Analyst helps businesses make investment decisions. This course may be useful for those who wish to enter this field, as it provides a foundation in data analytics concepts and tools. You will also learn how to use Tableau to visualize data and communicate your findings effectively.
Operations Analyst
An Operations Analyst helps businesses improve their efficiency and productivity. This course may be useful for those who wish to enter this field, as it provides a foundation in data analytics concepts and tools. You will also learn how to use Tableau to visualize data and communicate your findings effectively.
Risk Analyst
A Risk Analyst helps businesses identify and manage risks. This course may be useful for those who wish to enter this field, as it provides a foundation in data analytics concepts and tools. You will also learn how to use Tableau to visualize data and communicate your findings effectively.
Human Resources Analyst
A Human Resources Analyst helps businesses manage their human resources. This course may be useful for those who wish to enter this field, as it provides a foundation in data analytics concepts and tools. You will also learn how to use Tableau to visualize data and communicate your findings effectively.
Sales Analyst
A Sales Analyst helps businesses understand their sales performance and identify opportunities for growth. This course may be useful for those who wish to enter this field, as it provides a foundation in data analytics concepts and tools. You will also learn how to use Tableau to visualize data and communicate your findings effectively.

Reading list

We've selected eight 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 Introduction to Business Analytics.
Provides a comprehensive overview of Python, a popular programming language for data analysis. It valuable resource for practitioners who want to learn more about using Python to analyze data and create visualizations.
Comprehensive guide to data analytics, covering topics such as data collection, data cleaning, data analysis, and data visualization. It great resource for practitioners who want to learn more about the field.
Practical guide to data science, covering topics such as data collection, data cleaning, data analysis, and data visualization. It great resource for practitioners who want to learn more about the field.
Provides a comprehensive overview of predictive analytics, covering topics such as data collection, data cleaning, data analysis, and data visualization. It great resource for practitioners who want to learn more about the field.
Provides a comprehensive overview of R, a popular programming language for data analysis. It valuable resource for practitioners who want to learn more about using R to analyze data and create visualizations.
Provides a comprehensive overview of data visualization, covering topics such as data visualization principles, data visualization techniques, and data visualization tools. It valuable resource for practitioners who want to learn more about the field.
Practical guide to data analytics, covering topics such as data collection, data cleaning, data analysis, and data visualization. It great resource for beginners who want to learn how to use data analytics to solve real-world problems.

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