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Rebecca Coutts
and
Valerie Scarlata
Discover the core principles of software spreadsheets and data science, mastering effective data organization and analysis techniques in this course. Enroll today.
Register for this course and see more details by visiting:
OpenCourser.com/course/00cenq/discover
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What's inside
Syllabus
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Develops foundational skills in data analysis and spreadsheets, which are highly relevant for a wide variety of industries
Instructors Rebecca Coutts and Valerie Scarlata have a strong reputation in the field of data science and education
Covers basics of Google Slides, including design, multimedia integration, and cloud benefits
Taught through Udacity, a recognized platform for technology and data science education
Introduces learners to essential data science concepts through practical applications
Intended for learners with little to no prior experience in data science or spreadsheets
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Reviews summary
Practical data and presentation basics
According to learners, this course offers a solid foundation in spreadsheet data management and creating compelling presentations. Students often find the content clear and easy to follow, making it ideal for beginners or those looking to refresh fundamental skills. The course is praised for its practical approach, enabling students to immediately apply what they learn in tools like Google Sheets and Slides. While excellent for introductions, some users might find it lacks advanced depth for more specialized needs. Overall, it's a highly recommended starting point for anyone new to these essential software skills.
Covers essential features of Google Sheets/Slides and Canva basics.
"The course primarily focused on Google Sheets and Google Slides, which was exactly what I needed."
"I was happy that it also touched upon Canva, giving me an introduction to another useful tool."
"It effectively showed how to leverage cloud benefits within the Google ecosystem for data and presentations."
Learners gain directly applicable skills for daily tasks.
"I was able to use the spreadsheet tips at work immediately after completing the relevant module."
"The lessons on Google Slides taught me how to make much better presentations for my projects."
"I appreciate how hands-on the exercises felt; I truly built confidence in using the software."
The course provides concepts in a very accessible manner.
"I found the content really easy to understand, even though I was completely new to data software."
"The instructor breaks down complex ideas into manageable pieces."
"This course is perfectly paced for someone starting from scratch, making everything very clear."
Excellent starting point but not for advanced users.
"As someone with some prior experience, I found parts of the course too basic for my needs."
"It's a good overview, but if you're looking for deep dives into advanced functions, this isn't it."
"I finished feeling confident with the basics, but realized I'd need another course for more complex data analysis."
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 Discover Data and Presentation Software with these
activities:
Spreadsheet and Presentation Basics Review
Show steps
Strengthen your foundation by reviewing core concepts and functionalities of spreadsheets and presentation software.
Browse courses on
Google Sheets
Show steps
-
Access and navigate basic features
-
Create and edit data in spreadsheets
-
Create and customize presentations
Guided Hands-on Exploration
Show steps
Reinforce key concepts by working through step-by-step exercises in Google Sheets and Slides.
Show steps
-
Load and manipulate data in Google Sheets
-
Create charts and visualizations to display data
-
Design and deliver compelling presentations with Google Slides
Tutor or Assist Beginner Learners
Show steps
Solidify your understanding by sharing your knowledge and helping others grasp fundamental concepts.
Show steps
-
Connect with learners who need assistance
-
Provide guidance and support on specific topics
-
Offer constructive feedback and encourage progress
Five other activities
Expand to see all activities and additional details
Show all eight activities
Collaborative Data Exploration
Show steps
Deepen understanding by discussing and working on data analysis tasks with peers.
Show steps
-
Form a small study group
-
Choose a dataset to analyze
-
Share findings and insights with the group
Advanced Spreadsheet and Presentation Techniques
Show steps
Expand your skillset by exploring advanced features and best practices in Google Sheets and Slides.
Show steps
-
Identify specific areas for improvement
-
Seek out online tutorials and resources
-
Practice and experiment with new techniques
Data-Driven Insights Presentation
Show steps
Demonstrate comprehension by creating a presentation that showcases your ability to analyze data and extract meaningful insights.
Show steps
-
Collect and organize relevant data
-
Analyze data using appropriate techniques
-
Design and develop a clear and engaging presentation
Data Visualization Dashboard
Show steps
Showcase your analytical and visualization skills by creating an interactive dashboard that presents key insights from a given dataset.
Show steps
-
Gather and clean data
-
Design and develop the dashboard using appropriate visualization tools
-
Test and refine the dashboard for clarity and effectiveness
Contribute to Open-Source Data Analysis Projects
Show steps
Enhance your understanding by actively contributing to open-source projects in the field of data analysis.
Show steps
-
Identify and select a project to contribute to
-
Read the documentation and codebase
-
Propose and implement code improvements
Spreadsheet and Presentation Basics Review
Show steps
Strengthen your foundation by reviewing core concepts and functionalities of spreadsheets and presentation software.
Browse courses on
Google Sheets
Show steps
Show steps
Show steps
- Access and navigate basic features
- Create and edit data in spreadsheets
- Create and customize presentations
Guided Hands-on Exploration
Show steps
Reinforce key concepts by working through step-by-step exercises in Google Sheets and Slides.
Show steps
Show steps
Show steps
- Load and manipulate data in Google Sheets
- Create charts and visualizations to display data
- Design and deliver compelling presentations with Google Slides
Tutor or Assist Beginner Learners
Show steps
Solidify your understanding by sharing your knowledge and helping others grasp fundamental concepts.
Show steps
Show steps
Show steps
- Connect with learners who need assistance
- Provide guidance and support on specific topics
- Offer constructive feedback and encourage progress
Five other activities
Expand to see all activities and additional details
Show all eight activities
Collaborative Data Exploration
Show steps
Deepen understanding by discussing and working on data analysis tasks with peers.
Show steps
Show steps
Show steps
- Form a small study group
- Choose a dataset to analyze
- Share findings and insights with the group
Advanced Spreadsheet and Presentation Techniques
Show steps
Expand your skillset by exploring advanced features and best practices in Google Sheets and Slides.
Show steps
Show steps
Show steps
- Identify specific areas for improvement
- Seek out online tutorials and resources
- Practice and experiment with new techniques
Data-Driven Insights Presentation
Show steps
Demonstrate comprehension by creating a presentation that showcases your ability to analyze data and extract meaningful insights.
Show steps
Show steps
Show steps
- Collect and organize relevant data
- Analyze data using appropriate techniques
- Design and develop a clear and engaging presentation
Data Visualization Dashboard
Show steps
Showcase your analytical and visualization skills by creating an interactive dashboard that presents key insights from a given dataset.
Show steps
Show steps
Show steps
- Gather and clean data
- Design and develop the dashboard using appropriate visualization tools
- Test and refine the dashboard for clarity and effectiveness
Contribute to Open-Source Data Analysis Projects
Show steps
Enhance your understanding by actively contributing to open-source projects in the field of data analysis.
Show steps
Show steps
Show steps
- Identify and select a project to contribute to
- Read the documentation and codebase
- Propose and implement code improvements
Career center
Learners who complete Discover Data and Presentation Software will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists are the detectives of the business world, using their analytical skills to uncover insights and patterns from data. This course provides a strong foundation in data science software, helping you master effective data organization and analysis techniques. With this knowledge, you'll be well-equipped to gather, interpret, and present data, making informed recommendations that drive business success.
Data Analyst
Data Analyst
Data Analysts are responsible for transforming raw data into actionable insights. This course provides a comprehensive introduction to data analysis, covering data collection, structuring, visualization, and analysis. You'll learn how to use spreadsheets and specialized software to uncover hidden trends and patterns, helping businesses make informed decisions.
Business Analyst
Business Analyst
Business Analysts use data and technology to understand business needs and identify areas for improvement. This course provides a solid understanding of data software and analysis techniques, helping you gather and interpret data to make informed recommendations. You'll also learn how to present your findings effectively, ensuring that your insights are clearly communicated and actionable.
Market Researcher
Market Researcher
Market Researchers analyze market data to understand customer behavior and identify opportunities for growth. This course provides a foundation in data software and analysis techniques, helping you gather and interpret data to develop actionable insights. You'll also learn how to present your findings effectively, helping businesses make informed decisions.
Financial Analyst
Financial Analyst
Financial Analysts use data to evaluate investments and make recommendations. This course provides a solid understanding of data software and analysis techniques, helping you gather and interpret financial data to make informed decisions. You'll also learn how to present your findings effectively, ensuring that your insights are clearly communicated and actionable.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use data and mathematical models to optimize business processes. This course provides a foundation in data software and analysis techniques, helping you gather and interpret data to develop actionable insights. You'll also learn how to use specialized software to build and analyze models, helping businesses make informed decisions.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use data and mathematical models to analyze financial markets and make investment decisions. This course provides a solid understanding of data software and analysis techniques, helping you gather and interpret financial data to make informed recommendations. You'll also learn how to present your findings effectively, ensuring that your insights are clearly communicated and actionable.
Risk Analyst
Risk Analyst
Risk Analysts use data and models to identify and assess risks. This course provides a foundation in data software and analysis techniques, helping you gather and interpret data to develop actionable insights. You'll also learn how to use specialized software to build and analyze models, helping businesses make informed decisions.
Statistician
Statistician
Statisticians use data to analyze trends and make predictions. This course provides a solid understanding of data software and analysis techniques, helping you gather and interpret data to develop actionable insights. You'll also learn how to use specialized software to build and analyze models, helping businesses make informed decisions.
Data Visualization Specialist
Data Visualization Specialist
Data Visualization Specialists create visual representations of data to communicate insights and trends. This course provides a comprehensive introduction to data visualization, covering best practices, design principles, and specialized software. You'll learn how to transform raw data into visually appealing and informative charts, graphs, and dashboards, helping businesses communicate complex information effectively.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to identify and solve business problems. This course provides a foundation in data software and analysis techniques, helping you gather and interpret data to develop actionable insights. You'll also learn how to use specialized software to build and analyze models, helping businesses make informed decisions.
Data Engineer
Data Engineer
Data Engineers design and build data systems to manage and process large datasets. This course provides a foundation in data software and analysis techniques, helping you understand the principles of data engineering. You'll learn how to design and implement data pipelines, ensuring that data is clean, consistent, and accessible for analysis.
Software Developer
Software Developer
Software Developers design, develop, and maintain software applications. This course provides a foundation in data software and analysis techniques, helping you build a strong understanding of data structures and algorithms. You'll learn how to use programming languages to manipulate and analyze data, enabling you to develop innovative software solutions.
Project Manager
Project Manager
Project Managers plan, execute, and deliver projects. This course may be useful for Project Managers who want to develop a stronger understanding of data analysis and visualization techniques. You'll learn how to use data to define project requirements, track progress, and identify risks. This knowledge can help you make informed decisions and deliver successful projects.
Marketing Manager
Marketing Manager
Marketing Managers develop and execute marketing campaigns to promote products and services. This course may be useful for Marketing Managers who want to develop a stronger understanding of data analysis techniques. You'll learn how to use data to understand customer behavior, track campaign performance, and measure return on investment. This knowledge can help you create more effective marketing campaigns.
For more career information including salaries, visit:
OpenCourser.com/course/00cenq/discover
Reading list
We've selected ten 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
Discover Data and Presentation Software.
Provides a comprehensive overview of data science techniques and applications in business settings. It would serve as a valuable reference for learners who want to apply data science concepts to real-world business problems.
Covers the fundamentals of deep learning, using Python as the programming language. It would be suitable for learners who have a prior understanding of machine learning and want to specialize in deep learning techniques.
Covers the concepts and techniques involved in big data analytics, exploring both theoretical foundations and practical applications. It would be suitable for learners who want to gain a comprehensive understanding of big data analytics.
Provides a thorough introduction to natural language processing (NLP), covering topics such as text classification, sentiment analysis, and machine translation. It would be valuable for learners interested in exploring NLP techniques for data analysis.
Save
Provides a thorough understanding of data visualization techniques, covering topics such as data visualization tools, design principles, and best practices. It will supplement this course by offering more in-depth knowledge of data visualization.
Save
Analyzes the presentation techniques of Steve Jobs, providing insights into how to deliver captivating and persuasive presentations. It would be valuable for learners who want to improve their presentation skills.
Offers a comprehensive guide to using Canva, a popular online design tool. It would be beneficial for learners who want to explore additional tools for creating visually appealing presentations.
Introduces the reader to the basic principles of data analytics, including tools and methods for data collection, data visualization, and data analysis. It would be helpful as a prerequisite for this course.
Provides practical tips and tricks for creating effective PowerPoint presentations. It would be useful for learners who want to enhance their proficiency in using PowerPoint for presentations.
Is intended for beginners, explaining the basics of data science in a simple and straightforward manner. It serves as a practical introduction to the fundamental concepts of the field.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/00cenq/discover
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