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Data literacy skills are in high demand. Take our Data Literacy Basics course and learn the concepts you'll need to to read, understand, and communicate data.
Register for this course and see more details by visiting:
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What's inside
Syllabus
Data literacy is one of the highest-impact, most in-demand skills. In this lesson, we'll introduce you to the fundamental concepts and terms that you'll need to step into the world of data literacy.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Builds a strong foundation for learners new to data literacy
Taught by instructors who are recognized as experts in teaching data literacy
Examines data literacy, which is highly relevant to industry and academia
Develops core skills in reading, understanding, and communicating data
Save this course
Save Discovering Data Literacy to your list so you can find it easily later:
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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 Discovering Data Literacy with these
activities:
Compile a list of resources on data literacy
Show steps
Compiling a list of resources on data literacy will provide a valuable reference for you and other students.
Browse courses on
Data Literacy
Show steps
-
Conduct an online search for resources on data literacy
-
Evaluate the credibility and relevance of each resource
-
Organize the resources into categories, such as articles, books, websites, and videos
-
Create a document or spreadsheet to store the compiled list
Participate in a study group with other students
Show steps
Participating in a study group will provide opportunities to discuss and reinforce course concepts with peers.
Show steps
-
Find or create a study group with other students in the course
-
Meet regularly to discuss course materials, assignments, and questions
-
Collaborate on projects and assignments to enhance learning
Complete online tutorials on data visualization
Show steps
Completing online tutorials on data visualization will help you develop the skills needed to effectively communicate data insights.
Browse courses on
Data Visualization
Show steps
-
Identify reputable online platforms that offer data visualization tutorials
-
Select tutorials that cover topics relevant to your learning goals
-
Complete the tutorials step-by-step, taking notes and practicing the techniques
-
Apply your newfound skills to real-world data sets
Four other activities
Expand to see all activities and additional details
Show all seven activities
Solve practice problems on data cleaning and wrangling
Show steps
Solving practice problems on data cleaning and wrangling will help you develop the skills needed to prepare data for analysis.
Browse courses on
Data Cleaning
Show steps
-
Find online platforms or textbooks that provide practice problems
-
Select problems that challenge your current level of understanding
-
Attempt to solve the problems independently, using the course materials as a reference
-
Review your answers and identify areas where you need improvement
Solve data analysis practice questions
Show steps
Solving data analysis practice questions will test your understanding of concepts and improve your problem-solving skills.
Browse courses on
Data Analysis
Show steps
-
Find online platforms or textbooks that provide practice questions
-
Select questions that challenge your current level of understanding
-
Attempt to solve the questions independently, using the course materials as a reference
-
Review your answers and identify areas where you need improvement
Answer questions in discussion forums
Show steps
Answering questions in discussion forums will help you solidify your understanding of course concepts and contribute to the learning of others.
Show steps
-
Identify discussion forums related to the course
-
Monitor discussions and identify questions that you can answer
-
Provide thoughtful and well-reasoned answers, citing course materials and external sources as necessary
Write a blog post summarizing a data-driven case study
Show steps
Writing a blog post summarizing a data-driven case study will help you understand how data is used to make informed decisions.
Browse courses on
Data-Driven Decision-Making
Show steps
-
Identify a data-driven case study that interests you
-
Analyze the data and identify the key insights
-
Write a blog post that summarizes your findings, explaining how the data was used to make decisions
-
Share your blog post with others and invite feedback
Compile a list of resources on data literacy
Show steps
Compiling a list of resources on data literacy will provide a valuable reference for you and other students.
Browse courses on
Data Literacy
Show steps
Show steps
Show steps
- Conduct an online search for resources on data literacy
- Evaluate the credibility and relevance of each resource
- Organize the resources into categories, such as articles, books, websites, and videos
- Create a document or spreadsheet to store the compiled list
Participate in a study group with other students
Show steps
Participating in a study group will provide opportunities to discuss and reinforce course concepts with peers.
Show steps
Show steps
Show steps
- Find or create a study group with other students in the course
- Meet regularly to discuss course materials, assignments, and questions
- Collaborate on projects and assignments to enhance learning
Complete online tutorials on data visualization
Show steps
Completing online tutorials on data visualization will help you develop the skills needed to effectively communicate data insights.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Identify reputable online platforms that offer data visualization tutorials
- Select tutorials that cover topics relevant to your learning goals
- Complete the tutorials step-by-step, taking notes and practicing the techniques
- Apply your newfound skills to real-world data sets
Four other activities
Expand to see all activities and additional details
Show all seven activities
Solve practice problems on data cleaning and wrangling
Show steps
Solving practice problems on data cleaning and wrangling will help you develop the skills needed to prepare data for analysis.
Browse courses on
Data Cleaning
Show steps
Show steps
Show steps
- Find online platforms or textbooks that provide practice problems
- Select problems that challenge your current level of understanding
- Attempt to solve the problems independently, using the course materials as a reference
- Review your answers and identify areas where you need improvement
Solve data analysis practice questions
Show steps
Solving data analysis practice questions will test your understanding of concepts and improve your problem-solving skills.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Find online platforms or textbooks that provide practice questions
- Select questions that challenge your current level of understanding
- Attempt to solve the questions independently, using the course materials as a reference
- Review your answers and identify areas where you need improvement
Answer questions in discussion forums
Show steps
Answering questions in discussion forums will help you solidify your understanding of course concepts and contribute to the learning of others.
Show steps
Show steps
Show steps
- Identify discussion forums related to the course
- Monitor discussions and identify questions that you can answer
- Provide thoughtful and well-reasoned answers, citing course materials and external sources as necessary
Write a blog post summarizing a data-driven case study
Show steps
Writing a blog post summarizing a data-driven case study will help you understand how data is used to make informed decisions.
Browse courses on
Data-Driven Decision-Making
Show steps
Show steps
Show steps
- Identify a data-driven case study that interests you
- Analyze the data and identify the key insights
- Write a blog post that summarizes your findings, explaining how the data was used to make decisions
- Share your blog post with others and invite feedback
Career center
Learners who complete Discovering Data Literacy will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
The Data Analyst role is responsible for collecting, cleaning, and analyzing data to identify trends and patterns. The Discovering Data Literacy course provides a foundation in data literacy, which is essential for success as a Data Analyst. The course teaches learners how to read, understand, and communicate data, which are all key skills for Data Analysts. Additionally, the course covers topics such as data visualization and data mining, which are both important for Data Analysts.
Data Scientist
Data Scientist
Data Scientists use data to build models and make predictions. The Discovering Data Literacy course provides a foundation in data literacy, which is essential for success as a Data Scientist. The course teaches learners how to read, understand, and communicate data, which are all key skills for Data Scientists. Additionally, the course covers topics such as data visualization and data mining, which are both important for Data Scientists.
Market Researcher
Market Researcher
Market Researchers use data to understand consumer behavior. The Discovering Data Literacy course provides a foundation in data literacy, which is essential for success as a Market Researcher. The course teaches learners how to read, understand, and communicate data, which are all key skills for Market Researchers. Additionally, the course covers topics such as data visualization and data mining, which are both important for Market Researchers.
Business Analyst
Business Analyst
Business Analysts use data to identify and solve business problems. The Discovering Data Literacy course provides a foundation in data literacy, which is essential for success as a Business Analyst. The course teaches learners how to read, understand, and communicate data, which are all key skills for Business Analysts. Additionally, the course covers topics such as data visualization and data mining, which are both important for Business Analysts.
Statistician
Statistician
Statisticians use data to make inferences about populations. The Discovering Data Literacy course provides a foundation in data literacy, which is essential for success as a Statistician. The course teaches learners how to read, understand, and communicate data, which are all key skills for Statisticians. Additionally, the course covers topics such as data visualization and data mining, which are both important for Statisticians.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines. The Discovering Data Literacy course provides a foundation in data literacy, which is essential for success as a Data Engineer. The course teaches learners how to read, understand, and communicate data, which are all key skills for Data Engineers. Additionally, the course covers topics such as data visualization and data mining, which are both important for Data Engineers.
Database Administrator
Database Administrator
Database Administrators design, build, and maintain databases. The Discovering Data Literacy course provides a foundation in data literacy, which is essential for success as a Database Administrator. The course teaches learners how to read, understand, and communicate data, which are all key skills for Database Administrators. Additionally, the course covers topics such as data visualization and data mining, which are both important for Database Administrators.
Data Architect
Data Architect
Data Architects design and implement data management solutions. The Discovering Data Literacy course provides a foundation in data literacy, which is essential for success as a Data Architect. The course teaches learners how to read, understand, and communicate data, which are all key skills for Data Architects. Additionally, the course covers topics such as data visualization and data mining, which are both important for Data Architects.
Information Security Analyst
Information Security Analyst
Information Security Analysts protect data from unauthorized access and use. The Discovering Data Literacy course provides a foundation in data literacy, which is essential for success as an Information Security Analyst. The course teaches learners how to read, understand, and communicate data, which are all key skills for Information Security Analysts. Additionally, the course covers topics such as data visualization and data mining, which are both important for Information Security Analysts.
Web Developer
Web Developer
Web Developers design, develop, and maintain websites. The Discovering Data Literacy course may be useful for Web Developers who want to develop data-driven websites. The course teaches learners how to read, understand, and communicate data, which are all helpful skills for Web Developers.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. The Discovering Data Literacy course may be useful for Software Engineers who want to develop data-driven applications. The course teaches learners how to read, understand, and communicate data, which are all helpful skills for Software Engineers.
Computer Programmer
Computer Programmer
Computer Programmers write and maintain computer code. The Discovering Data Literacy course may be useful for Computer Programmers who want to develop data-driven applications. The course teaches learners how to read, understand, and communicate data, which are all helpful skills for Computer Programmers.
Data Manager
Data Manager
Data Managers oversee the collection, storage, and dissemination of data. The Discovering Data Literacy course provides a foundation in data literacy, which is essential for success as a Data Manager. The course teaches learners how to read, understand, and communicate data, which are all key skills for Data Managers. Additionally, the course covers topics such as data visualization and data mining, which are both important for Data Managers.
Chief Data Officer
Chief Data Officer
Chief Data Officers oversee all aspects of data management within an organization. The Discovering Data Literacy course provides a foundation in data literacy, which is essential for success as a Chief Data Officer. The course teaches learners how to read, understand, and communicate data, which are all key skills for Chief Data Officers. Additionally, the course covers topics such as data visualization and data mining, which are both important for Chief Data Officers.
Data Governance Specialist
Data Governance Specialist
Data Governance Specialists develop and implement data governance policies and procedures. The Discovering Data Literacy course provides a foundation in data literacy, which is essential for success as a Data Governance Specialist. The course teaches learners how to read, understand, and communicate data, which are all key skills for Data Governance Specialists. Additionally, the course covers topics such as data visualization and data mining, which are both important for Data Governance Specialists.
For more career information including salaries, visit:
OpenCourser.com/course/45agg3/discovering
Reading list
We've selected nine 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
Discovering Data Literacy .
Save
Provides a broader perspective on statistical concepts, complementing the course's focus on data literacy with essential principles of data analysis and interpretation.
Save
Offers a comprehensive overview of the impact of big data on various aspects of society, providing context and insights beyond the course's scope.
Save
Serves as a practical guide to data visualization techniques, enhancing the course's understanding of data interpretation and communication.
Save
Provides advanced insights into designing effective data dashboards, extending the course's coverage of data visualization.
Focuses on data storytelling techniques, complementing the course's emphasis on effectively communicating data findings.
Save
Provides a human-centric perspective on data science, aligning with the course's emphasis on effective data communication.
Save
Offers a technical introduction to data analysis using the R programming language, providing a foundation for further exploration.
Offers a broad overview of data science and its applications in business, broadening the course's perspective on data literacy.
Provides an in-depth introduction to Bayesian statistical modeling, offering advanced insights for those interested in exploring data analysis beyond the course's scope.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/45agg3/discovering
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Effort
1 hour
Via
Udacity
Language
English
Good to know
Builds a strong foundation for learners new to data literacy
Taught by instructors who are recognized as experts in teaching data literacy
Examines data literacy, which is highly relevant to industry and academia
Develops core skills in reading, understanding, and communicating data
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