Data Visualization with Python & R for Engineers from Coursera

What's inside

Syllabus

Introduction to Data - Part 1

In this module, we will delve into the fundamental aspects of data, exploring its definition, significance, and the transformative journey from raw information to actionable insights. Through a series of engaging videos, we will unravel the mysteries of structured and unstructured data, unveiling their unique characteristics and applications. As we progress, the module unfolds the intricate steps of the data workflow, guiding through the pivotal stages of framing objectives, preparing data, analysis, interpretation, and effective communication of findings. Additionally, our exploration extends to the vast landscape of Big Data, unraveling its complexities through the lens of the Five Vs: Volume, Velocity, Variety, Veracity, and Value. By the end of this module, We will not only have a comprehensive understanding of the foundational concepts of data but also possess the essential skills to navigate the data-driven landscapes of today's digital era. Get ready to unlock the power of data and discover its profound impact on our world!

Introduction to Data - Part 2

In this module, we will dive into the world of data analytics. We'll learn how to find the right data for data analysis, considering factors like relevance and timeliness. Then, we'll explore the crucial step of preprocessing, where we’ll learn to clean and organize raw data effectively. From handling missing values to spotting outliers, we'll pick up essential skills to ensure the analysis is accurate and reliable. By the end of this module, we'll be all set to confidently select, process, and analyze data like a pro. Let's get started!

Introduction to Visualization

In this module, we'll explore how data visualization turns complex data into engaging stories. Building on our understanding of data's significance, we'll discover how visualization simplifies information and connects with diverse audiences. We’ll delve into creating various visualizations, from statistical plots to geographical graphs. By grasping different statistical graphs and their applications, you'll enhance your skills in sharing meaningful insights. Get ready to unlock the potential of visualization and enhance your ability to tell compelling data stories. Let's dive into this visually enlightening journey!

Basics of Python

In this module, we'll delve into the fundamentals of Python coding. We'll explore key concepts such as variables, data types, and structures — crucial components in creating robust code. Throughout your Python learning journey, you'll acquire the skill of decision-making through if-else statements, navigate data using loops, and enhance your code with custom functions. Whether you're a coding novice or have some prior knowledge, this course ensures hands-on, practical experience. Let's explore, learn, and become experts in the key principles of Python programming. Get ready to bring your coding ideas to life!

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops data mining, visualization techniques, Python; applicable to engineering, healthcare, and manufacturing

Taught by Sivarit Sultornsanee, who has expertise in data analytics and visualization

Suitable for beginners with no prior knowledge in data visualization

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 Data Visualization with Python & R for Engineers with these activities:

Brush up on data visualization basics

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Review fundamental data visualization principles to strengthen your understanding of the course concepts.

Browse courses on Data Analytics

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Revisit key concepts of data visualization
Explore different types of data visualizations and their applications
Practice creating basic visualizations using a tool of your choice

Follow Online Python Tutorials

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Enhance your Python skills and explore specific concepts through guided tutorials.

Browse courses on Python

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Identify reputable online platforms or resources offering Python tutorials.
Choose tutorials that align with your learning goals and skill level.
Follow the tutorials step-by-step and complete the exercises.

Connect with a Data Visualization Expert

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Seek guidance and mentorship from experienced professionals to enhance your learning journey.

Browse courses on Data Visualization

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Identify potential mentors through professional networks or online platforms.
Reach out to selected mentors and express your interest in mentorship.
Establish regular communication and seek guidance on specific topics.

Eight other activities

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Participate in a Study Group

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Collaborate with peers to reinforce concepts, share insights, and improve your understanding.

Browse courses on Data Visualization

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Form or join a study group with other course participants.
Meet regularly to discuss course materials, solve problems, and share knowledge.
Share resources and support each other's learning.
Organize a group project if desired.

Solve Python Coding Challenges

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Strengthen your Python coding skills and enhance your ability to write clear and efficient code.

Browse courses on Python

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Find coding challenges online or in books.
Attempt to solve the challenges using Python.
Review the solutions and identify areas for improvement.

Work through data visualization exercises

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Reinforce your understanding of data visualization techniques by solving practical exercises.

Browse courses on Python

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Find online or textbook exercises on data visualization
Solve the exercises, focusing on interpreting data and choosing appropriate visualizations
Review your solutions and identify areas for improvement

Read 'The Data Visualization Handbook'

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Improve your understanding of the basics of data visualization and enhance your ability to create compelling data visualizations.

View Data Visualisation: A Handbook for Data Driven... on Amazon

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Read the book thoroughly.
Take notes on the key concepts and techniques.
Apply the concepts to a real-world dataset.

Attend a Data Visualization Workshop

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Gain practical experience in data visualization and learn from industry experts.

Browse courses on Data Visualization

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Research and identify relevant workshops.
Register for a workshop that aligns with your goals.
Attend the workshop and actively participate.

Create a data visualization storyboard

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Develop your ability to communicate data insights effectively by creating a storyboard that tells a compelling data-driven story.

Browse courses on Data Storytelling

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Choose a dataset and identify the key insights you want to convey
Sketch out a storyboard that outlines the flow of your story
Create visualizations to illustrate each key insight

Build a Data Visualization Dashboard

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Develop a practical understanding of data visualization by creating an interactive dashboard.

Browse courses on Data Visualization

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Choose a dataset and define the goals of the dashboard.
Design the dashboard layout and select the appropriate visualizations.
Implement the dashboard using Python and relevant libraries.

Develop a data visualization dashboard

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Apply your data visualization skills to create a practical tool that provides insights from real-world data.

Browse courses on Python

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Identify a problem or opportunity that can be addressed with a data visualization dashboard
Gather and prepare the necessary data
Design and develop the dashboard using Python and relevant visualization libraries
Test and refine the dashboard to ensure it meets user needs

Career center

Learners who complete Data Visualization with Python & R for Engineers will develop knowledge and skills that may be useful to these careers:

Data Visualization Specialist

Data Visualization Specialists translate raw data into visually appealing and informative charts, graphs, and dashboards. They use their expertise in design, data visualization, and storytelling to create data visualizations that are both beautiful and effective. This course provides a strong foundation in data visualization and Python, two essential skills for Data Visualization Specialists.

See salaries and explore the career path for Data Visualization Specialist

Data Analyst

Data Analysts translate raw data into digestible, actionable insights. They use their expertise in statistical analysis, data visualization, and programming to create powerful dashboards and reports that help businesses make informed decisions. This course provides a solid foundation in these key skills, making it an excellent choice for aspiring Data Analysts.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists use their knowledge of machine learning, statistics, and programming to build predictive models and solve complex problems. This course provides a strong foundation in data visualization and Python, two essential skills for Data Scientists. Additionally, the course's focus on data exploration and storytelling can help Data Scientists communicate their findings more effectively.

See salaries and explore the career path for Data Scientist

Data Engineer

Data Engineers build and maintain the infrastructure that supports data-driven organizations. They use their expertise in database management, cloud computing, and programming to ensure that data is accessible, reliable, and secure. This course provides a solid foundation in data visualization and Python, two skills that are essential for Data Engineers.

See salaries and explore the career path for Data Engineer

Business Analyst

Business Analysts use data to understand and improve business processes. They use their expertise in data analysis, data visualization, and business acumen to identify opportunities for growth and efficiency. This course provides a solid foundation in data visualization and Python, two skills that are essential for Business Analysts.

See salaries and explore the career path for Business Analyst

Product Manager

Product Managers are responsible for the development and launch of new products. They use their expertise in market research, data analysis, and design to create products that meet the needs of customers. This course provides a solid foundation in data visualization and Python, two skills that are increasingly important for Product Managers.

See salaries and explore the career path for Product Manager

Marketing Analyst

Marketing Analysts use data to understand and improve marketing campaigns. They use their expertise in data analysis, data visualization, and marketing to create campaigns that are both effective and efficient. This course provides a solid foundation in data visualization and Python, two skills that are essential for Marketing Analysts.

See salaries and explore the career path for Marketing Analyst

Healthcare Data Analyst

Healthcare Data Analysts use their expertise in data analysis, data visualization, and healthcare to improve patient care and outcomes. This course may be useful for aspiring Healthcare Data Analysts, as it provides a solid foundation in data visualization and Python, two skills that are essential for this role.

See salaries and explore the career path for Healthcare Data Analyst

Financial Analyst

Financial Analysts use data to understand and predict financial trends. They use their expertise in data analysis, data visualization, and finance to make investment recommendations and develop financial plans. This course may be useful for aspiring Financial Analysts, as it provides a solid foundation in data visualization and Python, two skills that are increasingly important for this role.

See salaries and explore the career path for Financial Analyst

Operations Research Analyst

Operations Research Analysts use data to improve the efficiency and effectiveness of organizations. They use their expertise in data analysis, data visualization, and operations research to develop solutions to complex problems. This course may be useful for aspiring Operations Research Analysts, as it provides a solid foundation in data visualization and Python, two skills that are essential for this role.

See salaries and explore the career path for Operations Research Analyst

Actuary

Actuaries use data to assess and manage risk. They use their expertise in data analysis, data visualization, and actuarial science to develop insurance plans and financial products. This course may be useful for aspiring Actuaries, as it provides a solid foundation in data visualization and Python, two skills that are increasingly important for this role.

See salaries and explore the career path for Actuary

Statistician

Statisticians use data to understand and interpret the world around us. They use their expertise in data analysis, data visualization, and statistics to develop new knowledge and solve problems. This course may be useful for aspiring Statisticians, as it provides a solid foundation in data visualization and Python, two skills that are increasingly important for this role.

See salaries and explore the career path for Statistician

Data Architect

Data Architects design and manage the data infrastructure that supports data-driven organizations. They use their expertise in database management, cloud computing, and data modeling to ensure that data is accessible, reliable, and secure. This course may be useful for aspiring Data Architects, as it provides a solid foundation in data visualization and Python, two skills that are increasingly important for this role.

See salaries and explore the career path for Data Architect

Software Engineer

Software Engineers design, develop, and maintain software applications. They use their expertise in programming, data structures, and algorithms to create software that meets the needs of users. This course may be useful for aspiring Software Engineers, as it provides a solid foundation in Python, a popular programming language for data visualization.

See salaries and explore the career path for Software Engineer

Computer Scientist

Computer Scientists use their expertise in computer science to solve problems and create new technologies. They use their knowledge of programming, data structures, and algorithms to develop software, hardware, and other computing systems. This course may be useful for aspiring Computer Scientists, as it provides a solid foundation in Python, a popular programming language for data visualization.

See salaries and explore the career path for Computer Scientist