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Troy Kranendonk
This course covers the importance of data literacy and how it empowers business leaders to make strategic decisions and solve complex problems using data.
Data-driven decision making is at the core of modern business strategies. It involves using data to guide your decisions and achieve better outcomes. In this course we will cover just that. This course covers the importance of data literacy and how it empowers business leaders to make strategic decisions and solve complex problems using data.
Register for this course and see more details by visiting:
OpenCourser.com/course/q6f6ln/making
What's inside
Syllabus
Making Data-informed Decisions as Business Leaders
New Module
The Four Main Analytics for Business Leaders
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores data literacy, a core skill for modern business leaders
Taught by Troy Kranendonk, a recognized name in the field of data analytics
Covers the importance of data-driven decision making, which is highly relevant to modern business
Suitable for business leaders with no prior experience in data analytics
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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 Making Data-informed Decisions as Business Leaders with these
activities:
Review data analysis fundamentals
Show steps
This activity will help you refresh your knowledge of the foundational concepts of data analysis, ensuring you have a strong basis for the course.
Browse courses on
Data Analysis
Show steps
-
Review your notes or textbook from a previous data analysis course.
-
Complete practice problems or quizzes to test your understanding.
Complete tutorials on data visualization tools
Show steps
This activity will familiarize you with the tools and techniques used for data visualization, enhancing your ability to effectively communicate data insights.
Browse courses on
Data Visualization
Show steps
-
Identify the data visualization tools used in the course.
-
Find and complete online tutorials or courses on these tools.
-
Practice creating different types of data visualizations.
Join a study group for the course
Show steps
Engaging in peer discussions will reinforce your understanding of course concepts, provide diverse perspectives, and foster collaboration.
Show steps
-
Reach out to classmates or form a group with friends.
-
Meet regularly to discuss course materials, assignments, and exam preparation.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Conduct data analysis exercises
Show steps
This activity will provide hands-on practice in applying data analysis techniques, improving your proficiency and confidence in using these methods.
Browse courses on
Data Analysis
Show steps
-
Gather and clean a dataset.
-
Apply various data analysis techniques to the dataset.
-
Interpret the results of your analysis.
Create a comprehensive course resource guide
Show steps
Consolidating your notes, assignments, and additional resources will ensure you have a well-organized repository of all course materials, aiding in effective review and retention.
Show steps
-
Collect and organize your lecture notes, readings, and assignments.
-
Add any additional resources found during your studies, such as articles, videos, or websites.
Explore advanced data analysis techniques
Show steps
Extending your knowledge beyond the course curriculum will expose you to cutting-edge data analysis techniques, broadening your skillset and enhancing your career prospects.
Browse courses on
Data Mining
Show steps
-
Identify areas of interest within data analysis.
-
Find and complete online tutorials or courses on these topics.
-
Apply these techniques to real-world datasets.
Contribute to an open-source data analysis project
Show steps
Involving yourself in open-source projects will provide practical experience in applying your data analysis skills, fostering collaboration, and contributing to the broader data science community.
Browse courses on
Data Analysis
Show steps
-
Identify an open-source data analysis project that aligns with your interests.
-
Reach out to the project maintainers and express your interest in contributing.
-
Start contributing to the project by fixing bugs, adding features, or improving documentation.
Review data analysis fundamentals
Show steps
This activity will help you refresh your knowledge of the foundational concepts of data analysis, ensuring you have a strong basis for the course.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Review your notes or textbook from a previous data analysis course.
- Complete practice problems or quizzes to test your understanding.
Complete tutorials on data visualization tools
Show steps
This activity will familiarize you with the tools and techniques used for data visualization, enhancing your ability to effectively communicate data insights.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Identify the data visualization tools used in the course.
- Find and complete online tutorials or courses on these tools.
- Practice creating different types of data visualizations.
Join a study group for the course
Show steps
Engaging in peer discussions will reinforce your understanding of course concepts, provide diverse perspectives, and foster collaboration.
Show steps
Show steps
Show steps
- Reach out to classmates or form a group with friends.
- Meet regularly to discuss course materials, assignments, and exam preparation.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Conduct data analysis exercises
Show steps
This activity will provide hands-on practice in applying data analysis techniques, improving your proficiency and confidence in using these methods.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Gather and clean a dataset.
- Apply various data analysis techniques to the dataset.
- Interpret the results of your analysis.
Create a comprehensive course resource guide
Show steps
Consolidating your notes, assignments, and additional resources will ensure you have a well-organized repository of all course materials, aiding in effective review and retention.
Show steps
Show steps
Show steps
- Collect and organize your lecture notes, readings, and assignments.
- Add any additional resources found during your studies, such as articles, videos, or websites.
Explore advanced data analysis techniques
Show steps
Extending your knowledge beyond the course curriculum will expose you to cutting-edge data analysis techniques, broadening your skillset and enhancing your career prospects.
Browse courses on
Data Mining
Show steps
Show steps
Show steps
- Identify areas of interest within data analysis.
- Find and complete online tutorials or courses on these topics.
- Apply these techniques to real-world datasets.
Contribute to an open-source data analysis project
Show steps
Involving yourself in open-source projects will provide practical experience in applying your data analysis skills, fostering collaboration, and contributing to the broader data science community.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Identify an open-source data analysis project that aligns with your interests.
- Reach out to the project maintainers and express your interest in contributing.
- Start contributing to the project by fixing bugs, adding features, or improving documentation.
Career center
Learners who complete Making Data-informed Decisions as Business Leaders will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Making Data-informed Decisions as Business Leaders can be highly valuable to Data Scientists. As a Data Scientist, you will use data to solve complex problems and develop solutions. Having a strong understanding of data literacy and how to use data to make strategic decisions is vital to success in this role. This course will provide a solid foundation in these critical areas.
Chief Data Officer
Chief Data Officer
Making Data-informed Decisions as Business Leaders may be useful to those who wish to become Chief Data Officers. As a Chief Data Officer, you will be responsible for managing an organization’s data and developing data-driven strategies. This course will provide you with a strong foundation in data management and decision-making, which are essential skills for Chief Data Officers.
Market Research Analyst
Market Research Analyst
The course, Making Data-informed Decisions as Business Leaders, can be highly valuable to Market Research Analysts. In this role, you will collect and analyze data to understand customer needs and trends. Since this course emphasizes data-driven decision-making, it can provide a strong foundation for you in this career.
Quantitative Analyst
Quantitative Analyst
Making Data-informed Decisions as Business Leaders could be valuable to Quantitative Analysts. In this role, you will use mathematical and statistical models to analyze data and make predictions. This course will provide you with a strong foundation in data analysis and decision-making, which are critical skills for Quantitative Analysts.
Director of Analytics
Director of Analytics
The course, Making Data-informed Decisions as Business Leaders, may be useful to those who wish to become Directors of Analytics. As a Director of Analytics, you will lead a team of data analysts and develop strategies for using data to improve business outcomes. This course can help you develop strong leadership and decision-making skills, which are crucial to success in this role.
Business Analyst
Business Analyst
The course, Making Data-informed Decisions as Business Leaders, could be highly valuable to Business Analysts. In this role, you will analyze an organization’s operations and suggest ways to improve efficiency. Since this course focuses on preparing leaders to make strategic decisions using data, it can translate well to the work of a Business Analyst. This course could provide a strong foundation for you in this career.
Data Engineer
Data Engineer
Making Data-informed Decisions as Business Leaders may be useful to those who wish to become Data Engineers. As a Data Engineer, you will design, build, and maintain data systems. This course will provide you with a strong foundation in data management and decision-making, which are essential skills for Data Engineers.
Data Strategist
Data Strategist
Making Data-informed Decisions as Business Leaders may be relevant to those who wish to become Data Strategists. As a Data Strategist, you will develop and implement strategies for using data to achieve business goals. This course will help you build a foundation in data-driven decision-making, which is crucial to the work of a Data Strategist.
Data Architect
Data Architect
Making Data-informed Decisions as Business Leaders may be useful to those who wish to become Data Architects. As a Data Architect, you will design and manage data systems. This course will provide you with a strong foundation in data management and decision-making, which are essential skills for Data Architects.
Management Consultant
Management Consultant
The course, Making Data-informed Decisions as Business Leaders, can be useful to those who wish to become Management Consultants. As a Management Consultant, you will help organizations improve their performance. By taking this course, you will develop strong decision-making skills, which are crucial to success in this role.
Operations Research Analyst
Operations Research Analyst
The skills you learn in Making Data-informed Decisions as Business Leaders could prove useful to Operations Research Analysts. In this role, you will apply analytical methods to improve an organization’s operations. This course will enhance your ability to make data-informed decisions, which is crucial to the work of an Operations Research Analyst.
Risk Analyst
Risk Analyst
The course, Making Data-informed Decisions as Business Leaders, could be useful to Risk Analysts. As a Risk Analyst, you will identify and assess risks that face an organization. Having a strong understanding of data literacy and how to use data to make informed decisions is vital to success in this role.
Product Manager
Product Manager
Making Data-informed Decisions as Business Leaders can be relevant to those who wish to become Product Managers. As a Product Manager, you will be responsible for developing and managing products. Having a strong understanding of how to make data-informed decisions can be a valuable asset in this role.
Financial Analyst
Financial Analyst
The course, Making Data-informed Decisions as Business Leaders, can be useful to those who wish to become Financial Analysts. As a Financial Analyst, you will analyze financial data to make recommendations on investments. Since this course teaches learners how to make data-informed decisions, it can provide a good foundation for those in this role.
Information Security Analyst
Information Security Analyst
The course, Making Data-informed Decisions as Business Leaders, may be relevant to those who wish to become Information Security Analysts. As an Information Security Analyst, you will protect an organization’s data from cyber threats. This course can help you build a strong foundation in data security and decision-making, which are crucial to success in this role.
For more career information including salaries, visit:
OpenCourser.com/course/q6f6ln/making
Reading list
We've selected seven 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
Making Data-informed Decisions as Business Leaders.
Provides a comprehensive guide to dimensional modeling, which key concept for data warehousing and data analysis.
Save
Provides an overview of predictive analytics, including different techniques and how they can be used to make predictions.
Provides a comprehensive overview of data mining techniques and how they can be used for business intelligence.
This hands-on guide to business intelligence and data analysis provides a comprehensive overview of the tools and techniques used to make informed business decisions. It includes practical exercises and examples using real-world data.
Offers a clear and concise introduction to data analytics, covering the basics of data collection, analysis, and interpretation. It is an excellent resource for beginners who want to learn about the fundamentals of data-driven decision-making.
This hands-on guide to deep learning teaches the basics of deep learning algorithms and their applications in business. It great resource for those who want to learn about the latest advancements in data-driven decision-making.
This practical guide to natural language processing (NLP) using the Python programming language covers a wide range of NLP techniques and their applications in business. It valuable resource for those who want to learn about the latest trends and techniques in data-driven decision-making.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/q6f6ln/making
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Time
36 hours
Level
Introductory
Via
Pluralsight
Instructor
Troy Kranendonk
Language
English
Good to know
Explores data literacy, a core skill for modern business leaders
Taught by Troy Kranendonk, a recognized name in the field of data analytics
Covers the importance of data-driven decision making, which is highly relevant to modern business
Suitable for business leaders with no prior experience in data analytics
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