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Tricia Bagley
By the end of this project, you will be able to leverage SPARKLINE charts within a spreadsheet to visualize data and to graphically represent the progression of a project plan over time so that stakeholders and sponsors can quickly understand the status,...
Read more
By the end of this project, you will be able to leverage SPARKLINE charts within a spreadsheet to visualize data and to graphically represent the progression of a project plan over time so that stakeholders and sponsors can quickly understand the status,...
Read more
By the end of this project, you will be able to leverage SPARKLINE charts within a spreadsheet to visualize data and to graphically represent the progression of a project plan over time so that stakeholders and sponsors can quickly understand the status, dependencies, and future requirements.
To do this, you will gain hands-on experience working with performance data and project data to create a variety of SPARKLINE charts including a Gantt chart in the free to use software Google Sheets.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Register for this course and see more details by visiting:
OpenCourser.com/course/d7jrdj/create
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possible dealbreakers
Develops visual representation and communication skills for data and project management
Leverages free to use software, making it accessible to wider audiences
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in Create Dynamic Gantt Charts with SPARKLINE in Google Sheets with these
activities:
Data Science Resource Compilation
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Gather and organize relevant materials, tools, and resources to support your learning journey.
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Data Science
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Create a repository or document to store relevant resources.
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Include links to articles, tutorials, books, datasets, and tools.
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Categorize and organize the resources for easy access.
Review: Practical Statistics for Data Scientists
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Review foundational concepts of statistical methods and data analysis for data manipulation, model building, and predictive analytics.
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Statistics for Data Science and Analytics
on Amazon
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Read Chapters 1-3 to understand foundational statistical concepts.
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Complete the exercises at the end of each chapter to reinforce your understanding.
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Summarize key takeaways from each chapter in your own words.
SQL Coding Challenges
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Sharpen your SQL skills through regular practice and problem-solving.
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SQL
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Find online SQL coding challenges or use platforms like LeetCode.
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Solve the challenges to practice writing efficient and optimized SQL queries.
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Review your solutions and identify areas for improvement.
Five other activities
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Study Group: Data Science Concepts Review
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Engage with peers, clarify concepts, and reinforce your understanding through discussions and problem-solving.
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Join or form a study group with fellow learners.
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Meet regularly to review course materials, discuss concepts, and work on assignments together.
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Participate actively in discussions and provide support to group members.
Data Visualization Project
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Gain practical experience in creating and presenting data visualizations to communicate insights effectively.
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Data Visualization
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Choose a dataset that aligns with your interests or career goals.
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Explore the data and identify key trends and patterns.
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Design and create visualizations using Tableau or another data visualization tool.
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Prepare a presentation to communicate your insights to stakeholders.
TensorFlow Tutorial: Building a Neural Network
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Enhance your understanding of neural networks and gain hands-on experience in building and training models using TensorFlow.
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Machine Learning
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Follow the TensorFlow tutorial to create a neural network for a specific task.
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Experiment with different network architectures and hyperparameters.
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Evaluate the performance of your model and make improvements.
Data Science Workshop: Hands-on Machine Learning
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Gain practical experience in applying machine learning algorithms to real-world datasets and enhance your understanding of their applications.
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Machine Learning
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Attend a hands-on data science workshop focused on machine learning.
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Follow along with the instructors and implement machine learning algorithms.
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Work on projects and receive feedback from experts.
Technical Blog Post on Data Science Trends
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Demonstrate your understanding of emerging trends in data science and enhance your written communication skills.
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Data Science
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Research and identify the latest trends in data science.
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Write a blog post summarizing your findings and providing insights.
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Publish your blog post on a reputable platform like Medium or LinkedIn.
Data Science Resource Compilation
Show steps
Gather and organize relevant materials, tools, and resources to support your learning journey.
Browse courses on
Data Science
Show steps
Show steps
Show steps
- Create a repository or document to store relevant resources.
- Include links to articles, tutorials, books, datasets, and tools.
- Categorize and organize the resources for easy access.
Review: Practical Statistics for Data Scientists
Show steps
Review foundational concepts of statistical methods and data analysis for data manipulation, model building, and predictive analytics.
View
Statistics for Data Science and Analytics
on Amazon
Show steps
Show steps
Show steps
- Read Chapters 1-3 to understand foundational statistical concepts.
- Complete the exercises at the end of each chapter to reinforce your understanding.
- Summarize key takeaways from each chapter in your own words.
SQL Coding Challenges
Show steps
Sharpen your SQL skills through regular practice and problem-solving.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Find online SQL coding challenges or use platforms like LeetCode.
- Solve the challenges to practice writing efficient and optimized SQL queries.
- Review your solutions and identify areas for improvement.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Study Group: Data Science Concepts Review
Show steps
Engage with peers, clarify concepts, and reinforce your understanding through discussions and problem-solving.
Browse courses on
Data Science
Show steps
Show steps
Show steps
- Join or form a study group with fellow learners.
- Meet regularly to review course materials, discuss concepts, and work on assignments together.
- Participate actively in discussions and provide support to group members.
Data Visualization Project
Show steps
Gain practical experience in creating and presenting data visualizations to communicate insights effectively.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Choose a dataset that aligns with your interests or career goals.
- Explore the data and identify key trends and patterns.
- Design and create visualizations using Tableau or another data visualization tool.
- Prepare a presentation to communicate your insights to stakeholders.
TensorFlow Tutorial: Building a Neural Network
Show steps
Enhance your understanding of neural networks and gain hands-on experience in building and training models using TensorFlow.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Follow the TensorFlow tutorial to create a neural network for a specific task.
- Experiment with different network architectures and hyperparameters.
- Evaluate the performance of your model and make improvements.
Data Science Workshop: Hands-on Machine Learning
Show steps
Gain practical experience in applying machine learning algorithms to real-world datasets and enhance your understanding of their applications.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Attend a hands-on data science workshop focused on machine learning.
- Follow along with the instructors and implement machine learning algorithms.
- Work on projects and receive feedback from experts.
Technical Blog Post on Data Science Trends
Show steps
Demonstrate your understanding of emerging trends in data science and enhance your written communication skills.
Browse courses on
Data Science
Show steps
Show steps
Show steps
- Research and identify the latest trends in data science.
- Write a blog post summarizing your findings and providing insights.
- Publish your blog post on a reputable platform like Medium or LinkedIn.
Career center
Learners who complete Create Dynamic Gantt Charts with SPARKLINE in Google Sheets will develop knowledge and skills
that may be useful to these careers:
Project Manager
Project Manager
Project Managers plan and execute projects. Project Managers may use SPARKLINE charts to visualize data and to graphically represent the progression of a project plan over time to track progress and identify areas for improvement. This course can help you build a foundation in using SPARKLINE charts in Google Sheets, which may be particularly useful in a Project Manager role.
Risk Analyst
Risk Analyst
Risk Analysts analyze data to identify and assess risks. Risk Analysts may use SPARKLINE charts to visualize data and to graphically represent the progression of a project plan over time to identify potential risks and develop mitigation strategies. This course can help you build a foundation in using SPARKLINE charts in Google Sheets, which may be useful in a Risk Analyst role.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze data. Quantitative Analysts may use SPARKLINE charts to visualize data and to graphically represent the progression of a project plan over time to identify trends and make recommendations. This course can help you build a foundation in using SPARKLINE charts in Google Sheets, which may be useful in a Quantitative Analyst role.
Statistician
Statistician
Statisticians collect and analyze data to help businesses make informed decisions. Statisticians may use SPARKLINE charts to visualize data and to graphically represent the progression of a project plan over time to identify trends and make recommendations. This course can help you build a foundation in using SPARKLINE charts in Google Sheets, which may be useful in a Statistician role.
Market Researcher
Market Researcher
Market Researchers collect and analyze data about markets and consumers. Market Researchers may use SPARKLINE charts to visualize data and to graphically represent the progression of a project plan over time to identify trends and make recommendations. This course can help you build a foundation in using SPARKLINE charts in Google Sheets, which may be useful in a Market Researcher role.
Financial Analyst
Financial Analyst
Financial Analysts analyze financial data to help businesses make informed decisions. Financial Analysts may use SPARKLINE charts to visualize data and to graphically represent the progression of a project plan over time to identify trends and make recommendations. This course can help you build a foundation in using SPARKLINE charts in Google Sheets, which may be useful in a Financial Analyst role.
Data Analyst
Data Analyst
Data Analysts collect and analyze data to help businesses make informed decisions. Data Analysts may use SPARKLINE charts to visualize data and to graphically represent the progression of a project plan over time to identify trends and make recommendations. This course can help you build a foundation in using SPARKLINE charts in Google Sheets, which may be useful in a Data Analyst role.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. Software Engineers may use SPARKLINE charts to visualize data and to graphically represent the progression of a project plan over time to track progress and identify areas for improvement. This course can help you build a foundation in using SPARKLINE charts in Google Sheets, which may be useful in a Software Engineer role.
Technical Writer
Technical Writer
Technical Writers create documentation for software and other technical products. Technical Writers may use SPARKLINE charts to visualize data and to graphically represent the progression of a project plan over time to explain complex concepts to users. This course can help you build a foundation in using SPARKLINE charts in Google Sheets, which may be useful in a Technical Writer role.
Web Developer
Web Developer
Web Developers design and develop websites. Web Developers may use SPARKLINE charts to visualize data and to graphically represent the progression of a project plan over time to track progress and identify areas for improvement. This course can help you build a foundation in using SPARKLINE charts in Google Sheets, which may be useful in a Web Developer role.
Analyst
Analyst
Analysts provide insights to businesses by collecting and analyzing data. Analysts may use SPARKLINE charts to visualize data and to graphically represent the progression of a project plan over time to identify trends and make recommendations. This course can help you build a foundation in using SPARKLINE charts in Google Sheets, which may be useful in an Analyst role.
Business Analyst
Business Analyst
Business Analysts help businesses improve their performance by analyzing data and making recommendations. Business Analysts may use SPARKLINE charts to visualize data and to graphically represent the progression of a project plan over time to identify areas for improvement. This course can help you build a foundation in using SPARKLINE charts in Google Sheets, which may be useful in a Business Analyst role.
Operations Analyst
Operations Analyst
Operations Analysts analyze data to help businesses improve their operations. Operations Analysts may use SPARKLINE charts to visualize data and to graphically represent the progression of a project plan over time to identify areas for improvement. This course can help you build a foundation in using SPARKLINE charts in Google Sheets, which may be useful in an Operations Analyst role.
Consultant
Consultant
Consultants provide advice to businesses on how to improve their performance. Consultants may use SPARKLINE charts to visualize data and to graphically represent the progression of a project plan over time to identify areas for improvement. This course can help you build a foundation in using SPARKLINE charts in Google Sheets, which may be useful in a Consultant role.
Systems Analyst
Systems Analyst
Systems Analysts analyze data to help businesses improve their systems. Systems Analysts may use SPARKLINE charts to visualize data and to graphically represent the progression of a project plan over time to identify areas for improvement. This course can help you build a foundation in using SPARKLINE charts in Google Sheets, which may be useful in a Systems Analyst role.
For more career information including salaries, visit:
OpenCourser.com/course/d7jrdj/create
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
Create Dynamic Gantt Charts with SPARKLINE in Google Sheets.
Is the gold standard for project management and provides a comprehensive overview of the project management process. It would be a valuable resource for those who want to learn more about the fundamentals of project management and best practices.
Provides a comprehensive overview of project stakeholder management. It would be a valuable resource for those who want to learn more about the project stakeholder management process.
Save
Provides a comprehensive overview of project risk management. It would be a valuable resource for those who want to learn more about the project risk management process.
Provides a comprehensive overview of project quality management. It would be a valuable resource for those who want to learn more about the project quality management process.
Provides a comprehensive overview of project human resource management. It would be a valuable resource for those who want to learn more about the project human resource management process.
Provides a comprehensive overview of project management for information systems. It would be a valuable resource for those who want to learn more about the project management process in the context of information systems.
Provides a comprehensive overview of using Microsoft Excel for project management. It would be a valuable resource for those who want to learn how to use Excel to manage their projects.
Practical guide to project management for those who are new to the field. It provides a step-by-step overview of the project management process and includes helpful tips and advice.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/d7jrdj/create
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Time
2 hours
Via
Coursera
Institution
Coursera Project Network
Instructor
Tricia Bagley
Good to know
Develops visual representation and communication skills for data and project management
Leverages free to use software, making it accessible to wider audiences
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