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Business Analytics Fluency
In our Business Analytics for Beginners course you will learn how to use data to drive business decisions and how to solve business problems.
Register for this course and see more details by visiting:
OpenCourser.com/course/fqmo7l/business
What's inside
Syllabus
In this lesson, you'll learn strategies for solving problems, non-predictive data analysis, and more.
In this lesson, you will learn to select the most appropriate analytical methodology based on the context of the business problem.
Read more
Syllabus
In this lesson, you'll learn strategies for solving problems, non-predictive data analysis, and more.
In this lesson, you will learn to select the most appropriate analytical methodology based on the context of the business problem.
Read more
In this lesson, you will learn about the basics of data analysis, such as data types and summary statistics.
In this lesson, you will learn how to identify common types of dirty data, make adjustments to dirty data to prepare a dataset, and identify and adjust for outliers.
In this lesson, you will learn to apply linear regression models to solve a business problem.
In this lesson, you learn to evaluate the quality of data visualizations and build high-quality visualizations.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Introduces core skills for solving business problems
Provides a strong foundation for beginners in business analytics
Covers essential concepts and techniques in data analysis
Helps learners develop analytical thinking and problem-solving skills
Requires no prior knowledge or experience in data analysis
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Activities
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We're preparing activities for
Business Analytics Fluency.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Business Analytics Fluency will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers develop and deploy machine learning models. This course can help you develop the skills you need to succeed in this role by teaching you how to use data to build machine learning models, and how to deploy these models to production.
Data Scientist
Data Scientist
Data Scientists use data to solve problems and develop new products and services. This course can help you develop the skills you need to succeed in this role by teaching you how to use data to build machine learning models, and how to use these models to solve problems and develop new products and services.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to help businesses make informed decisions. This course can help you develop the skills you need to succeed in this role by teaching you how to use data to identify trends, patterns, and relationships, and how to communicate your findings to stakeholders.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines. This course can help you develop the skills you need to succeed in this role by teaching you how to use data to build data pipelines that are efficient, reliable, and secure.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use data to develop mathematical models that can be used to make predictions about the future. This course can help you develop the skills you need to succeed in this role by teaching you how to use data to build mathematical models, and how to use these models to make predictions about the future.
Business Analyst
Business Analyst
Business Analysts help businesses improve their processes and systems by identifying and solving problems. This course can help you develop the skills you need to succeed in this role by teaching you how to use data to identify and solve business problems, and how to communicate your findings to stakeholders.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts help businesses improve their operations by using data to identify and solve problems. This course can help you develop the skills you need to succeed in this role by teaching you how to use data to model business processes, and how to use this information to make recommendations that can help businesses improve their efficiency and productivity.
Marketing Analyst
Marketing Analyst
Marketing Analysts help businesses understand their customers and develop marketing campaigns that are effective. This course can help you develop the skills you need to succeed in this role by teaching you how to use data to understand customer behavior, and how to develop marketing campaigns that are targeted to the right audience.
Market Research Analyst
Market Research Analyst
Market Research Analysts identify customer needs and preferences, conduct surveys, and analyze data to help businesses make informed decisions. This course can help you develop the skills you need to succeed in this role by teaching you how to collect, analyze, and interpret data, and how to use this information to make recommendations that can help businesses improve their products and services.
Database Administrator
Database Administrator
Database Administrators manage and maintain databases. This course can help you develop the skills you need to succeed in this role by teaching you how to use data to design, implement, and maintain databases that are efficient, reliable, and secure.
Financial Analyst
Financial Analyst
Financial Analysts help businesses make informed decisions about their finances. This course can help you develop the skills you need to succeed in this role by teaching you how to use data to analyze financial statements, and how to make recommendations that can help businesses improve their financial performance.
Risk Analyst
Risk Analyst
Risk Analysts help businesses identify and manage risks. This course can help you develop the skills you need to succeed in this role by teaching you how to use data to identify and assess risks, and how to develop strategies to mitigate these risks.
Cloud Architect
Cloud Architect
Cloud Architects design and manage cloud computing systems. This course can help you develop the skills you need to succeed in this role by teaching you how to use data to design and manage cloud computing systems that are efficient, reliable, and secure.
DevOps Engineer
DevOps Engineer
DevOps Engineers work to bridge the gap between development and operations teams. This course can help you develop the skills you need to succeed in this role by teaching you how to use data to automate and streamline the development and deployment of software applications.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. This course can help you develop the skills you need to succeed in this role by teaching you how to use data to develop software applications that are efficient, reliable, and secure.
For more career information including salaries, visit:
OpenCourser.com/course/fqmo7l/business
Reading list
We've selected 15 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
Business Analytics Fluency.
Provides a comprehensive overview of statistical learning, and valuable resource for anyone who wants to learn more about this topic.
Provides a comprehensive overview of information theory, inference, and learning algorithms, and valuable resource for anyone who wants to learn more about these topics.
Provides a comprehensive overview of the mathematics used in machine learning, and valuable resource for anyone who wants to learn more about this topic.
Save
Provides a comprehensive overview of data mining, and valuable resource for anyone who wants to learn more about this topic.
Provides a practical guide to data science for business, and valuable resource for anyone who wants to learn more about this topic.
Provides a comprehensive overview of data analytics, including data collection, preparation, analysis, and visualization. It good resource for learners who are new to data analytics or who want to brush up on the basics.
Provides a comprehensive overview of data analysis using Python and Pandas, and valuable resource for anyone who wants to learn more about this topic.
Provides a practical guide to machine learning for business, and valuable resource for anyone who wants to learn more about this topic.
Save
Provides a practical guide to data visualization, and valuable resource for anyone who wants to learn more about this topic.
Provides a comprehensive overview of data analytics, covering topics such as data collection, data cleaning, data analysis, and data visualization. It good resource for learners who want to gain a solid foundation in data analytics.
This easy-to-understand guide will help you understand the concepts of data analytics and how to use them to make better decisions.
Provides a comprehensive overview of econometrics, and valuable resource for anyone who wants to learn more about this topic.
Provides a case-study based approach to data analytics, focusing on the use of real-world data to solve business problems. It valuable resource for learners who want to gain practical experience in data analytics.
Save
Provides an overview of predictive analytics, focusing on the use of data to predict future events. It good resource for learners who want to gain a basic understanding of predictive analytics.
Provides a comprehensive overview of big data analytics, covering topics such as data collection, data storage, data analysis, and data visualization. It good resource for learners who want to gain a solid foundation in big data analytics.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/fqmo7l/business
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Effort
6 hours
Via
Udacity
Language
English
Good to know
Introduces core skills for solving business problems
Provides a strong foundation for beginners in business analytics
Covers essential concepts and techniques in data analysis
Helps learners develop analytical thinking and problem-solving skills
Requires no prior knowledge or experience in data analysis
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