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Carmen Rojas
Visualizing data is an in-demand skill in many areas of business but particularly in digital marketing. With more and more data available to digital marketers, explaining what to do with it thru well-crafted visualizations shows not only prowess in a data...
Read more
Visualizing data is an in-demand skill in many areas of business but particularly in digital marketing. With more and more data available to digital marketers, explaining what to do with it thru well-crafted visualizations shows not only prowess in a data...
Read more
Visualizing data is an in-demand skill in many areas of business but particularly in digital marketing. With more and more data available to digital marketers, explaining what to do with it thru well-crafted visualizations shows not only prowess in a data language, but a keen insight into customers and what they are looking for in the products and services we provide. In this project, learners will learn how to create tables, line graphs, bar charts, and scatter plots. We will walk thru each visualization simply and then with a slight uptick. We will learn Python syntax, and other helpful Python do’s and don’t’s along the way
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possible dealbreakers
Develops data visualization skills, which are highly relevant in digital marketing
Offers a comprehensive study of one aspect of data science
Builds a strong foundation for beginners in data visualization
Teaches Python syntax, a useful tool for data analysis
Taught by Carmen Rojas, who are recognized for their work in data visualization
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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 Create Digital Marketing Visualizations in Python with these
activities:
Review basic statistics concepts
Show steps
Strengthen your foundation in statistics to better understand and interpret data visualizations.
Browse courses on
Statistics
Show steps
-
Review notes or textbooks on basic statistics
-
Solve practice problems
Connect with experienced data visualization professionals
Show steps
Gain valuable insights and guidance by connecting with experts in the field of data visualization.
Show steps
-
Identify potential mentors
-
Reach out and introduce yourself
-
Schedule a meeting or call to discuss your goals
Follow tutorials on data visualization
Show steps
Seek out and follow tutorials that explain different data visualization techniques and tools to enhance your understanding.
Browse courses on
Data Visualization
Show steps
-
Find a tutorial
-
Follow the steps in the tutorial
-
Create your own visualizations based on the tutorial
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Participate in a data visualization study group
Show steps
Join a study group to discuss data visualization concepts, share knowledge, and provide feedback on each other's work.
Browse courses on
Data Visualization
Show steps
-
Find a study group
-
Attend regular meetings
-
Participate in discussions and share your work
Python syntax drills
Show steps
Solidify your understanding of Python syntax by completing repetitive exercises.
Browse courses on
Python Syntax
Show steps
-
Find practice exercises online
-
Solve practice exercises
-
Review solutions
Practice creating visualizations
Show steps
Practice creating visualizations of different types to solidify your understanding of the concepts and syntax.
Show steps
-
Choose a dataset
-
Design a visualization
-
Create the visualization
-
Analyze the visualization
-
Repeat steps 1-4 with different datasets and visualizations
Peer review of visualizations
Show steps
Get feedback and improve your visualization skills by sharing your work with others.
Show steps
-
Find a peer to collaborate with
-
Share your visualizations
-
Provide and receive feedback
Visualize data with Python
Show steps
Deepen your understanding by creating your own visual representations of data using Python.
Browse courses on
Data Visualization
Show steps
-
Choose a dataset to work with
-
Write Python code to create visualizations
-
Interpret the visualizations
Write a blog post on data visualization
Show steps
Write a blog post that shares your knowledge of data visualization, techniques, or case studies to reinforce your understanding and help others.
Browse courses on
Data Visualization
Show steps
-
Choose a topic
-
Research and gather information
-
Write the blog post
-
Proofread and edit
-
Publish the blog post
Follow tutorials on creating interactive visualizations
Show steps
Enhance your visualization skills by following guided tutorials on creating interactive dashboards and charts.
Browse courses on
Interactive Data Visualizations
Show steps
-
Identify tutorials on interactive data visualization
-
Follow the steps in the tutorials
-
Implement the techniques in your own visualizations
Create a data visualization dashboard
Show steps
Create a dashboard that visualizes data relevant to your field or interests to demonstrate your ability to apply the skills learned in this course.
Browse courses on
Data Visualization
Show steps
-
Determine the purpose of the dashboard
-
Gather data from relevant sources
-
Design the dashboard layout
-
Create visualizations and populate the dashboard
-
Test and refine the dashboard
Develop a visualization dashboard for a specific business case
Show steps
Apply your skills to a real-world scenario by creating a visualization dashboard that addresses a specific business problem or opportunity.
Show steps
-
Identify a business case for data visualization
-
Gather and analyze data
-
Design and develop the visualization dashboard
-
Present the dashboard to stakeholders
Review basic statistics concepts
Show steps
Strengthen your foundation in statistics to better understand and interpret data visualizations.
Browse courses on
Statistics
Show steps
Show steps
Show steps
- Review notes or textbooks on basic statistics
- Solve practice problems
Connect with experienced data visualization professionals
Show steps
Gain valuable insights and guidance by connecting with experts in the field of data visualization.
Show steps
Show steps
Show steps
- Identify potential mentors
- Reach out and introduce yourself
- Schedule a meeting or call to discuss your goals
Follow tutorials on data visualization
Show steps
Seek out and follow tutorials that explain different data visualization techniques and tools to enhance your understanding.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Find a tutorial
- Follow the steps in the tutorial
- Create your own visualizations based on the tutorial
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Participate in a data visualization study group
Show steps
Join a study group to discuss data visualization concepts, share knowledge, and provide feedback on each other's work.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Find a study group
- Attend regular meetings
- Participate in discussions and share your work
Python syntax drills
Show steps
Solidify your understanding of Python syntax by completing repetitive exercises.
Browse courses on
Python Syntax
Show steps
Show steps
Show steps
- Find practice exercises online
- Solve practice exercises
- Review solutions
Practice creating visualizations
Show steps
Practice creating visualizations of different types to solidify your understanding of the concepts and syntax.
Show steps
Show steps
Show steps
- Choose a dataset
- Design a visualization
- Create the visualization
- Analyze the visualization
- Repeat steps 1-4 with different datasets and visualizations
Peer review of visualizations
Show steps
Get feedback and improve your visualization skills by sharing your work with others.
Show steps
Show steps
Show steps
- Find a peer to collaborate with
- Share your visualizations
- Provide and receive feedback
Visualize data with Python
Show steps
Deepen your understanding by creating your own visual representations of data using Python.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Choose a dataset to work with
- Write Python code to create visualizations
- Interpret the visualizations
Write a blog post on data visualization
Show steps
Write a blog post that shares your knowledge of data visualization, techniques, or case studies to reinforce your understanding and help others.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Choose a topic
- Research and gather information
- Write the blog post
- Proofread and edit
- Publish the blog post
Follow tutorials on creating interactive visualizations
Show steps
Enhance your visualization skills by following guided tutorials on creating interactive dashboards and charts.
Browse courses on
Interactive Data Visualizations
Show steps
Show steps
Show steps
- Identify tutorials on interactive data visualization
- Follow the steps in the tutorials
- Implement the techniques in your own visualizations
Create a data visualization dashboard
Show steps
Create a dashboard that visualizes data relevant to your field or interests to demonstrate your ability to apply the skills learned in this course.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Determine the purpose of the dashboard
- Gather data from relevant sources
- Design the dashboard layout
- Create visualizations and populate the dashboard
- Test and refine the dashboard
Develop a visualization dashboard for a specific business case
Show steps
Apply your skills to a real-world scenario by creating a visualization dashboard that addresses a specific business problem or opportunity.
Show steps
Show steps
Show steps
- Identify a business case for data visualization
- Gather and analyze data
- Design and develop the visualization dashboard
- Present the dashboard to stakeholders
Career center
Learners who complete Create Digital Marketing Visualizations in Python will develop knowledge and skills
that may be useful to these careers:
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 needed to succeed in this role, such as data visualization, Python programming, and data analysis techniques. By learning how to create clear and concise visualizations, you can effectively communicate insights to stakeholders and drive decision-making.
Market Researcher
Market Researcher
Market Researchers gather and analyze data to understand consumer behavior and market trends. This course can provide you with the skills needed to conduct market research, analyze data, and present findings. By learning how to create visualizations, you can effectively communicate market insights to clients and stakeholders, helping them make informed decisions.
Digital Marketing Manager
Digital Marketing Manager
Digital Marketing Managers plan and execute digital marketing campaigns to reach target audiences and achieve business goals. This course can help you develop the skills needed to succeed in this role, such as data analysis, content marketing, and social media marketing. By learning how to create visualizations, you can effectively track and measure the performance of your campaigns and make data-driven decisions.
Business Analyst
Business Analyst
Business Analysts identify and solve business problems by analyzing data and recommending solutions. This course can help you develop the skills needed to succeed in this role, such as data analysis, problem-solving, and communication. By learning how to create visualizations, you can effectively communicate your findings to stakeholders and help them make informed decisions.
Data Scientist
Data Scientist
Data Scientists use data to build models and solve business problems. This course can help you develop the skills needed to succeed in this role, such as data analysis, machine learning, and programming. By learning how to create visualizations, you can effectively communicate your findings to stakeholders and help them make informed decisions.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze data and make investment decisions. This course can help you develop the skills needed to succeed in this role, such as data analysis, modeling, and programming. By learning how to create visualizations, you can effectively communicate your findings to clients and stakeholders, helping them make informed investment decisions.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. This course can help you develop the skills needed to succeed in this role, such as programming, problem-solving, and teamwork. By learning how to create visualizations, you can effectively communicate your design ideas to stakeholders and help them understand the technical aspects of your work.
Product Manager
Product Manager
Product Managers lead the development and launch of new products. This course can help you develop the skills needed to succeed in this role, such as market research, product planning, and project management. By learning how to create visualizations, you can effectively communicate your product vision to stakeholders and help them make informed decisions.
Marketing Analyst
Marketing Analyst
Marketing Analysts gather and analyze data to help businesses understand their customers and make marketing decisions. This course can help you develop the skills needed to succeed in this role, such as data analysis, market research, and communication. By learning how to create visualizations, you can effectively communicate your findings to stakeholders and help them make informed marketing decisions.
Financial Analyst
Financial Analyst
Financial Analysts analyze financial data to make investment decisions. This course can help you develop the skills needed to succeed in this role, such as data analysis, financial modeling, and communication. By learning how to create visualizations, you can effectively communicate your findings to clients and stakeholders, helping them make informed investment decisions.
Consultant
Consultant
Consultants help businesses solve problems and improve performance. This course can help you develop the skills needed to succeed in this role, such as problem-solving, communication, and teamwork. By learning how to create visualizations, you can effectively communicate your findings to clients and help them understand your recommendations.
Technical Writer
Technical Writer
Technical Writers create and maintain technical documentation. This course can help you develop the skills needed to succeed in this role, such as writing, editing, and project management. By learning how to create visualizations, you can effectively communicate complex technical information to audiences.
Data Visualization Specialist
Data Visualization Specialist
Data Visualization Specialists design and create visualizations to communicate data insights. This course can help you develop the skills needed to succeed in this role, such as data analysis, visual design, and communication. By learning how to create compelling visualizations, you can effectively communicate complex data to audiences and help them make informed decisions.
User Experience Designer
User Experience Designer
User Experience Designers design and evaluate user interfaces to create positive user experiences. This course may help you develop the skills needed to succeed in this role, such as user research, prototyping, and testing. By learning how to create visualizations, you can effectively communicate your design ideas to stakeholders and help them understand the user experience.
Graphic designer
Graphic designer
Graphic Designers create visual content to communicate ideas. This course may help you develop the skills needed to succeed in this role, such as visual design, typography, and layout. By learning how to create visualizations, you can effectively communicate your design ideas to clients and help them meet their communication goals.
For more career information including salaries, visit:
OpenCourser.com/course/ypgnv8/create
Reading list
We've selected 11 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 Digital Marketing Visualizations in Python.
Provides a hands-on introduction to Python programming for data analysis. It covers topics such as data structures, data manipulation, and data visualization, making it a valuable resource for learners who want to enhance their Python skills for digital marketing visualizations.
Save
Offers a visually stunning and engaging exploration of data visualization principles and techniques. It provides practical advice and numerous examples on how to create effective and insightful data visualizations.
Save
This classic text on data visualization provides a timeless foundation for understanding the principles of effective visual communication. It offers insights into the design, construction, and presentation of data visualizations.
Focuses on the art of communicating insights from data through storytelling techniques. It provides practical guidance on how to create data visualizations that are not only informative but also engaging and persuasive.
Provides a practical guide to data visualization using Python and JavaScript. It covers topics such as data acquisition, cleaning, and transformation, as well as creating interactive and responsive data visualizations.
Save
While not specific to Python, R for Data Science provides a comprehensive introduction to the R programming language and its use in data analysis and visualization. It offers a valuable alternative for learners who may prefer or need to use R in their work.
Offers a comprehensive collection of data visualization techniques and examples. It serves as a valuable reference for learners looking to expand their knowledge of different types of data visualizations and their appropriate usage.
Save
Simplifies the process of data visualization for beginners. It offers easy-to-follow instructions and practical examples to help learners create effective data visualizations quickly.
Save
Emphasizes the importance of truthfulness and accuracy in data visualization. It explores the ethical and cognitive challenges of data visualization and provides guidance on how to create visualizations that effectively communicate insights without misleading or distorting the data.
Focuses on data visualization techniques for large and complex datasets. It covers topics such as data exploration, visualization design, and interactive data visualization, providing learners with the knowledge and skills to handle big data visualization challenges.
Introduces the D3.js JavaScript library for interactive data visualization. It provides a hands-on approach to creating visually appealing and responsive data visualizations on the web.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ypgnv8/create
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Time
1 hours
Via
Coursera
Institution
Coursera Project Network
Instructor
Carmen Rojas
Good to know
Develops data visualization skills, which are highly relevant in digital marketing
Offers a comprehensive study of one aspect of data science
Builds a strong foundation for beginners in data visualization
Teaches Python syntax, a useful tool for data analysis
Taught by Carmen Rojas, who are recognized for their work in data visualization
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