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Create Digital Marketing Visualizations in Python

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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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

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Strengthen your foundation in statistics to better understand and interpret data visualizations.

Browse courses on Statistics

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Review notes or textbooks on basic statistics
Solve practice problems

Connect with experienced data visualization professionals

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Gain valuable insights and guidance by connecting with experts in the field of data visualization.

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Identify potential mentors
Reach out and introduce yourself
Schedule a meeting or call to discuss your goals

Follow tutorials on data visualization

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Seek out and follow tutorials that explain different data visualization techniques and tools to enhance your understanding.

Browse courses on Data Visualization

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Find a tutorial
Follow the steps in the tutorial
Create your own visualizations based on the tutorial

Nine other activities

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Participate in a data visualization study group

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Join a study group to discuss data visualization concepts, share knowledge, and provide feedback on each other's work.

Browse courses on Data Visualization

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Find a study group
Attend regular meetings
Participate in discussions and share your work

Python syntax drills

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Solidify your understanding of Python syntax by completing repetitive exercises.

Browse courses on Python Syntax

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Find practice exercises online
Solve practice exercises
Review solutions

Practice creating visualizations

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Practice creating visualizations of different types to solidify your understanding of the concepts and syntax.

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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

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Get feedback and improve your visualization skills by sharing your work with others.

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Find a peer to collaborate with
Share your visualizations
Provide and receive feedback

Visualize data with Python

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Deepen your understanding by creating your own visual representations of data using Python.

Browse courses on Data Visualization

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Choose a dataset to work with
Write Python code to create visualizations
Interpret the visualizations

Write a blog post on data visualization

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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

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Choose a topic
Research and gather information
Write the blog post
Proofread and edit
Publish the blog post

Follow tutorials on creating interactive visualizations

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Enhance your visualization skills by following guided tutorials on creating interactive dashboards and charts.

Browse courses on Interactive Data Visualizations

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Identify tutorials on interactive data visualization
Follow the steps in the tutorials
Implement the techniques in your own visualizations

Create a data visualization dashboard

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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

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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

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Apply your skills to a real-world scenario by creating a visualization dashboard that addresses a specific business problem or opportunity.

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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 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.

See salaries and explore the career path for Data Analyst

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.

See salaries and explore the career path for Market Researcher

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.

See salaries and explore the career path for Digital Marketing Manager

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.

See salaries and explore the career path for Business Analyst

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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for Quantitative Analyst

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.

See salaries and explore the career path for Software Engineer

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.

See salaries and explore the career path for Product Manager

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.

See salaries and explore the career path for Marketing 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.

See salaries and explore the career path for Financial Analyst

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.

See salaries and explore the career path for Consultant

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.

See salaries and explore the career path for Technical Writer

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.

See salaries and explore the career path for Data Visualization Specialist

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.

See salaries and explore the career path for User Experience 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.

See salaries and explore the career path for Graphic designer

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.

Python for Data Analysis

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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.

Create Digital Marketing Visualizations in Python

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