Introduction to Data Visualization Course

USD 127
USD 64

Duration
01:58:38 hours

Access Time
Lifetime

Language
Arabic

Resources
(2)

152

USD 127
USD 64

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About the instructor

Eithar Alfatih

Senior Data Scientist

Eithar Elbasheer is a Senior Data Scientist, educator, and mentor with extensive experience across various industries. She has successfully led projects in advanced analytics, machine learning, and data visualization, showcasing her ability to transform complex data into meaningful insights. Eithar’s expertise includes developing predictive models, extracting actionable insights, and crafting compelling data narratives to support data-driven decision-making

Objectives of Introduction to Data Visualization Course

his course offers a foundational introduction to data visualization, focusing on how to represent data in clear, meaningful ways. You will explore various visualization techniques, such as histograms, box plots, and scatter plots, while learning the importance of storytelling through data. The course also covers key tools like Matplotlib and Seaborn, empowering you to visualize patterns, trends, and outliers effectively. By the end, you'll be equipped to create impactful visuals that enhance data-driven decision-making.

You Will Learn

What is visualizing data and why it is important
How to create and interpret various data visualizations such as stem-and-leaf plots, histograms, and time series plots.
Techniques for telling compelling stories with data to enhance communication and decision-making.
Hands-on experience with powerful visualization tools like Matplotlib and Seaborn.
Skills to make complex data insights accessible and understandable for diverse audiences.

Targeted Students

Data Enthusiasts: Individuals interested in learning how to visualize data effectively to enhance their analytical skills.

Beginners in Data Science: Students who are new to data science and want to build a strong foundation in data visualization techniques.

Business Professionals: Professionals looking to improve their ability to communicate data insights and make informed decisions through visual storytelling.

Researchers and Academics: Individuals in research roles who need to present data clearly and compellingly in their reports and presentations.

Anyone Seeking to Enhance Their Skills: Individuals from various backgrounds seeking to enhance their data literacy and visualization capabilities, regardless of their current level of expertise.