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David Torgerson
This course will expose you to the data analytics practices executed in the business world. We will explore such key areas as the analytical process, how data is created, stored, accessed, and how the organization works with data and creates the environment in which analytics can flourish.
Read more
This course will expose you to the data analytics practices executed in the business world. We will explore such key areas as the analytical process, how data is created, stored, accessed, and how the organization works with data and creates the environment in which analytics can flourish.
Read more
This course will expose you to the data analytics practices executed in the business world. We will explore such key areas as the analytical process, how data is created, stored, accessed, and how the organization works with data and creates the environment in which analytics can flourish.
What you learn in this course will give you a strong foundation in all the areas that support analytics and will help you to better position yourself for success within your organization. You’ll develop skills and a perspective that will make you more productive faster and allow you to become a valuable asset to your organization.
This course also provides a basis for going deeper into advanced investigative and computational methods, which you have an opportunity to explore in future courses of the Data Analytics for Business specialization.
Register for this course and see more details by visiting:
OpenCourser.com/course/saiwxl/introduction
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What's inside
Syllabus
Data and Analysis in the Real World
Welcome to week 1! In this module we’ll learn how to think about analytical problems and examine the process by which data enables analysis & decision making. We’ll introduce a framework called the Information-Action Value chain which describes the path from events in the world to business action, and we’ll look at some of the source systems that are used to capture data. At the end of this course you will be able to: Explain the information lifecycle from events in the real world to business actions, and how to think about analytical problems in that context , Recognize the types of events and characteristics that are often used in business analytics, and explain how the data is captured by source systems and stored using both traditional and emergent technologies, Gain a high-level familiarity with relational databases and learn how to use a simple but powerful language called SQL to extract analytical data sets of interest, Appreciate the spectrum of roles involved in the data lifecycle, and gain exposure to the various ways that organizations structure analytical functions, Summarize some of the key ideas around data quality, data governance, and data privacy
Read more
Syllabus
Data and Analysis in the Real World
Welcome to week 1! In this module we’ll learn how to think about analytical problems and examine the process by which data enables analysis & decision making. We’ll introduce a framework called the Information-Action Value chain which describes the path from events in the world to business action, and we’ll look at some of the source systems that are used to capture data. At the end of this course you will be able to: Explain the information lifecycle from events in the real world to business actions, and how to think about analytical problems in that context , Recognize the types of events and characteristics that are often used in business analytics, and explain how the data is captured by source systems and stored using both traditional and emergent technologies, Gain a high-level familiarity with relational databases and learn how to use a simple but powerful language called SQL to extract analytical data sets of interest, Appreciate the spectrum of roles involved in the data lifecycle, and gain exposure to the various ways that organizations structure analytical functions, Summarize some of the key ideas around data quality, data governance, and data privacy
Read more
Analytical Tools
In this module we’ll learn about the technologies that enable analytical work. We’ll examine data storage and databases, including the relational database. We’ll talk about Big Data and Cloud technologies and ideas like federation, virtualization, and in-memory computing. We’ll also walk through a landscape of some of the more common tool classes and learn how these tools support common analytical tasks.
Data Extraction Using SQL
In this module we’ll learn how to extract data from a relational database using Structured Query Language, or SQL. We’ll cover all the basic SQL commands and learn how to combine and stack data from different tables. We’ll also learn how to expand the power of our queries using operators and handle additional complexity using subqueries.
Real World Analytical Organizations
In this module we focus on the people and organizations that work with data and actually execute analytics. We’ll discuss who does what and see how organizational structures can influence efficiency and effectiveness. We’ll also look at the supporting rules & processes that help an analytical organization run smoothly, like Data Governance, Data Privacy, and Data Quality.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Examines how data enables decision-making
Introduces the Information-Action Value chain for understanding analytical problems
Provides a strong foundation in all areas that support analytics
Develops skills and perspectives for increased productivity
Introduces SQL for data extraction from relational databases
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Reviews summary
Data analytics for business learners' choice
Learners say that the Introduction to Data Analytics for Business course is a welcoming introduction to the field, swiftly equipping them with the fundamental knowledge and skills necessary for their data science journey.
Positive feedback from learners.
"E"
Focuses on building a solid foundation.
"E"
"Really a good introductory course for data science and analytics."
Concepts are presented well.
"Contents are easy to understand"
"the lecturer communicates the idea pretty well"
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 Data Analytics for Business with these
activities:
Attend industry conferences
Show steps
Expand your network, learn from experts, and gain valuable insights into the latest data analytics practices by attending industry conferences.
Browse courses on
Networking
Show steps
-
Identify relevant industry conferences and events
-
Register and attend the conferences
-
Engage in discussions and connect with professionals
-
Follow up with new contacts and explore potential collaborations
Connect with data analytics professionals
Show steps
Enhance your learning journey by connecting with experienced data analytics professionals who can provide guidance, support, and valuable insights.
Browse courses on
Mentoring
Show steps
-
Identify potential mentors in the field
-
Reach out and introduce yourself
-
Schedule regular meetings or communication
-
Seek advice and guidance on your career and professional development
Read 'Data Analytics for Dummies'
Show steps
Gain a foundational understanding of data analytics concepts and techniques by reading 'Data Analytics for Dummies', building a strong base for your learning journey.
View
Big Data, Big Analytics: Emerging Business...
on Amazon
Show steps
-
Read the book and take notes
-
Highlight and identify key concepts and definitions
-
Complete the practice exercises and quizzes
Five other activities
Expand to see all activities and additional details
Show all eight activities
Complete SQL tutorials
Show steps
Practice writing and executing SQL queries to extract and manipulate data, reinforcing your understanding of data storage and retrieval concepts.
Browse courses on
SQL
Show steps
-
Identify a dataset or database to work with
-
Follow online tutorials or documentation to learn basic SQL commands and syntax
-
Write queries to select, filter, and manipulate data
-
Troubleshoot any errors or issues encountered
SQL practice exercises
Show steps
Engage in repetitive SQL exercises to solidify your grasp of query writing, data retrieval techniques, and problem-solving skills.
Browse courses on
SQL
Show steps
-
Find online platforms or resources that offer SQL practice exercises
-
Solve a variety of SQL queries, ranging from simple to complex
-
Review solutions and identify areas for improvement
-
Repeat the process to enhance your proficiency
Data analysis project
Show steps
Embark on a data analysis project to apply your understanding of data principles and techniques, developing practical skills in data exploration, analysis, and visualization.
Browse courses on
Data Analysis
Show steps
-
Identify a real-world problem or dataset to analyze
-
Collect and prepare the necessary data
-
Perform data analysis using appropriate tools and techniques
-
Visualize and interpret the results
-
Communicate your findings and insights
Data visualization dashboard
Show steps
Create a data visualization dashboard to showcase your ability to transform complex data into engaging and informative visuals, enhancing your communication and presentation skills.
Browse courses on
Data Visualization
Show steps
-
Identify the key metrics and insights to visualize
-
Select appropriate visualization techniques and tools
-
Design and develop an interactive dashboard
-
Test and refine the dashboard for usability and effectiveness
Write a blog post on data analytics trends
Show steps
Stay updated with the latest advancements in data analytics by researching and writing a blog post, expanding your knowledge and sharing valuable insights with the community.
Browse courses on
Data Science
Show steps
-
Identify relevant and current trends in data analytics
-
Research and gather information from reliable sources
-
Organize and structure your content effectively
-
Write a well-written and informative blog post
-
Promote and share your blog post to reach a wider audience
Attend industry conferences
Show steps
Expand your network, learn from experts, and gain valuable insights into the latest data analytics practices by attending industry conferences.
Browse courses on
Networking
Show steps
Show steps
Show steps
- Identify relevant industry conferences and events
- Register and attend the conferences
- Engage in discussions and connect with professionals
- Follow up with new contacts and explore potential collaborations
Connect with data analytics professionals
Show steps
Enhance your learning journey by connecting with experienced data analytics professionals who can provide guidance, support, and valuable insights.
Browse courses on
Mentoring
Show steps
Show steps
Show steps
- Identify potential mentors in the field
- Reach out and introduce yourself
- Schedule regular meetings or communication
- Seek advice and guidance on your career and professional development
Read 'Data Analytics for Dummies'
Show steps
Gain a foundational understanding of data analytics concepts and techniques by reading 'Data Analytics for Dummies', building a strong base for your learning journey.
View
Big Data, Big Analytics: Emerging Business...
on Amazon
Show steps
Show steps
Show steps
- Read the book and take notes
- Highlight and identify key concepts and definitions
- Complete the practice exercises and quizzes
Five other activities
Expand to see all activities and additional details
Show all eight activities
Complete SQL tutorials
Show steps
Practice writing and executing SQL queries to extract and manipulate data, reinforcing your understanding of data storage and retrieval concepts.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Identify a dataset or database to work with
- Follow online tutorials or documentation to learn basic SQL commands and syntax
- Write queries to select, filter, and manipulate data
- Troubleshoot any errors or issues encountered
SQL practice exercises
Show steps
Engage in repetitive SQL exercises to solidify your grasp of query writing, data retrieval techniques, and problem-solving skills.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Find online platforms or resources that offer SQL practice exercises
- Solve a variety of SQL queries, ranging from simple to complex
- Review solutions and identify areas for improvement
- Repeat the process to enhance your proficiency
Data analysis project
Show steps
Embark on a data analysis project to apply your understanding of data principles and techniques, developing practical skills in data exploration, analysis, and visualization.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Identify a real-world problem or dataset to analyze
- Collect and prepare the necessary data
- Perform data analysis using appropriate tools and techniques
- Visualize and interpret the results
- Communicate your findings and insights
Data visualization dashboard
Show steps
Create a data visualization dashboard to showcase your ability to transform complex data into engaging and informative visuals, enhancing your communication and presentation skills.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Identify the key metrics and insights to visualize
- Select appropriate visualization techniques and tools
- Design and develop an interactive dashboard
- Test and refine the dashboard for usability and effectiveness
Write a blog post on data analytics trends
Show steps
Stay updated with the latest advancements in data analytics by researching and writing a blog post, expanding your knowledge and sharing valuable insights with the community.
Browse courses on
Data Science
Show steps
Show steps
Show steps
- Identify relevant and current trends in data analytics
- Research and gather information from reliable sources
- Organize and structure your content effectively
- Write a well-written and informative blog post
- Promote and share your blog post to reach a wider audience
Career center
Learners who complete Introduction to Data Analytics for Business will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
This course will provide you with a solid overview of the field of data analytics. You will learn about the different types of data, how to collect and store data, and how to use data to make informed decisions. This course can help you to develop the critical thinking skills, analytical skills, and business acumen needed by the successful data analyst.
Data Manager
Data Manager
This course will provide you with the skills and knowledge you need to become a data manager. You will learn about the different types of data, how to collect and store data, and how data is valuable in leading to informed decisions. This course will give you a comprehensive overview of the data management lifecycle, and it will equip you to handle the challenges of data management so that you may be successful in your career as a data manager.
Data Scientist
Data Scientist
This course will introduce you to the field of data science. You will learn about the different types of data, how to collect and store data, and how to use data to solve business problems. This course will provide you with a strong foundation in the fundamentals of data science and boost your competency in analytical and technical skills.
Data Architect
Data Architect
This course will teach you the fundamentals of data architecture. You will learn about the different types of data, how to collect and store data, and how to design and implement data architectures. This course will take you through the lifecycle of data, and its role in businesses, which will help you on your way to becoming a data architect.
Business Analyst
Business Analyst
The skills you are learning through this course will help you to develop a solid foundation in business analytics, a valuable skill for any business analyst. Gaining a knowledge of the analytical lifecycle, data sources, and data extraction using SQL will help you to effectively perform your duties as a business analyst, which include gathering, analyzing, and interpreting data to help businesses make informed decisions.
Information Architect
Information Architect
This course will give you a comprehensive overview of the field of information architecture. You will learn about the different types of information, how to organize and structure information, and how to design and implement information architectures. This knowledge will be a valuable stepping stone on your path to becoming a successful information architect.
Database Administrator
Database Administrator
This course will help you to build a solid foundation in data management, and you will learn about the different types of databases, how to design and implement databases, and how to manage and maintain databases. This course will provide you with the essential knowledge and skills you need to be successful as a database administrator.
Analytics Manager
Analytics Manager
This course will provide you with the skills and knowledge you need to become an analytics manager. You will learn about the different types of analytics, how to collect and analyze data, and how to use analytics to improve business performance. This course will give you a strong foundation in the fundamentals of analytics management.
Data Privacy Manager
Data Privacy Manager
This course will provide you with the skills and knowledge you need to become a data privacy manager. You will learn about the different privacy laws and regulations, how to develop and implement a data privacy program, and how to manage and enforce data privacy policies. This course will help you to be successful in this role.
Data Governance Manager
Data Governance Manager
This course will provide you with the skills and knowledge you need to become a data governance manager. You will learn about the different principles of data governance, how to develop and implement a data governance program, and how to manage and enforce data governance policies. This course will help you to develop the expertise you need to be successful in this role.
Chief Data Officer
Chief Data Officer
This course will introduce you to the role of the chief data officer (CDO) and provide you with the skills and knowledge you need to be successful in this role. You will learn about the different responsibilities of a CDO, how to develop and implement a data strategy, and how to manage and govern data.
Data Warehousing Manager
Data Warehousing Manager
This course will introduce you to the world of data warehousing. You will learn about the different types of data warehouses, how to design and implement a data warehouse, and how to manage and maintain a data warehouse. This course will provide you with the knowledge and skills needed to be a successful data warehousing manager.
Big Data Engineer
Big Data Engineer
This course will introduce you to the field of big data engineering. You will learn about the different types of big data technologies, how to design and implement big data solutions, and how to manage and maintain big data systems. This course will give you a solid foundation in the fundamentals of big data engineering.
Data Quality Manager
Data Quality Manager
This course will provide you with a thorough understanding of data quality management principles and practices. You will learn how to define data quality metrics, develop and implement data quality processes, and monitor and improve data quality. This course will equip you with the knowledge and skills needed to be successful in the role of a data quality manager.
Data Integration Specialist
Data Integration Specialist
This course will introduce you to the field of data integration. You will learn about the different types of data integration technologies, how to design and implement data integration solutions, and how to manage and maintain data integration systems. This course will provide you with a base understanding of the fundamentals of data integration and will prepare you for this role.
For more career information including salaries, visit:
OpenCourser.com/course/saiwxl/introduction
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 Data Analytics for Business.
Save
Provides a critical look at data science, with a focus on the ethical and social implications of using data to make decisions. It is written in a clear and engaging style, making it a good choice for beginners and experienced data scientists alike.
Practical guide to data analytics, with a focus on using real-world data to solve business problems. It is written in a clear and engaging style, making it a good choice for beginners.
Provides a comprehensive overview of big data, with a focus on making it accessible to beginners. It is written in a clear and concise style, making it a good choice for those who are new to the field.
Provides a comprehensive overview of data analytics, from the basics to more advanced topics. It is written in a clear and concise style, making it a good choice for beginners.
Provides a comprehensive overview of data science, with a focus on using data to solve business problems. It is written in a clear and concise style, making it a good choice for beginners.
Provides a gentle introduction to Spark, with a focus on making it accessible to beginners. It is written in a clear and engaging style, making it a good choice for those who are new to the field.
Provides a gentle introduction to machine learning, with a focus on making it accessible to beginners. It is written in a clear and engaging style, making it a good choice for those who are new to the field.
Provides a gentle introduction to SQL, with a focus on making it accessible to beginners. It is written in a clear and engaging style, making it a good choice for those who are new to the field.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/saiwxl/introduction
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Level
Introductory
Via
Coursera
Institution
University of Colorado Boulder
Instructor
David Torgerson
Language
English
Transcripts
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آذربایجان دیلی
This course belongs to a
collection
called
Advanced Business Analytics. It's comprised of five courses:
- Communicating Business Analytics Results
- Advanced Business Analytics Capstone
- Introduction to Data Analytics for Business (viewing)
- Predictive Modeling and Analytics
- Business Analytics for Decision Making
Good to know
Examines how data enables decision-making
Introduces the Information-Action Value chain for understanding analytical problems
Provides a strong foundation in all areas that support analytics
Develops skills and perspectives for increased productivity
Introduces SQL for data extraction from relational databases
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