Data Storytelling through Visualizations in Python
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.
4.7
38 Lessons
9h
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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 visualizations for different kinds of data. We will use Python, Matplotlib, Seaborn, and Plotly as the data science libraries for this course.
This course will help you develop the key skills to translate the technical indicators in line with business objectives. It also aids in building your technical skills and processes to create effective data visualizations and narratives. Data storytelling can help you unlock actionable insights from your data.
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
Learning Roadmap
Certificate of Completion
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