HomeCoursesData Storytelling through Visualizations in Python
Intermediate
9h
Data Storytelling through Visualizations in Python
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Gain insights into data storytelling in Python using Matplotlib, Seaborn, and Plotly. Explore trends, handle data challenges, and create impactful visual narratives aligning with business goals.
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Course Overview
Mining the insights from data is the next critical step after parsing data and generating visualizations. This activity is called data storytelling, where you form a cohesive story explaining the strengths, weaknesses, and trends of your dataset with the help of predictions through machine learning models.
In this course, you will learn how to identify and evaluate your data for trends, handle common real-world challenges of messy data such as large datasets and missing values, and present the right visua...Show More
Mining the insights from data is the next critical step after parsing data and generating visualizations. This activity is calle...Show More
WHAT YOU'LL LEARN
Familiarity with the best practices in the field of data storytelling
Understanding the process of extracting narratives from data
Basic understanding of data analysis strategies using pandas and NumPy
An understanding of data storytelling and visualization generation for real-world, messy data
Hands-on experience with compelling visualizations using Matplotlib and Plotly
Familiarity with the best practices in the field of data storytelling
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TAKEAWAY SKILLS
Data Storytelling
Data Visualization
Data Plotting
Course Content
38 Lessons5 Quizzes1 Assessment
1.
Introduction
1 Lessons
Get familiar with data storytelling using Python libraries Matplotlib, Seaborn, and Plotly.
Examine defining problem statements, iterative visualization, audience tailoring, persona characterization, and correlation vs. causation in data storytelling.
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