Reporting and Visualization for Data Analysts
This course transports you to the captivating world of Data Visualization and Reporting. It extensively familiarizes you with various techniques and tools for creating meaningful, interactive and visually appealing reports and dashboards using libraries like Matplotlib and Seaborn.
Lessons and practices
Sprouts Growth Over a Week Line Plot
Mark the Growth
Plotting the Rainfall Data
Final Challenge: Plotting the Garden's Thirst
Visualizing Market Preferences with Pie Charts
Exploding the Electronics Slice
Adding Details to the Ice Cream Preferences Pie Chart
Creating a Consumer Preferences Pie Chart
Bookstore Genre Sales Visualization
What The barh Does?
Plotting the Readership by Genre
Age Analysis in Readers' Habits
Plotting the Distribution of Reading Time
Visualizing Squares with Style
Styling the Fibonacci Plot
Styling Your Way Through Matplotlib
Styling the Fibonacci Plot
Styling the Fibonacci Plot
Visual Comparison of Student Scores in Math and Science
Charting Academic Paths with Line Plots
Academic Performance Plots Mastery
Comparing Academic Progress with Subplots
Adding a Bar Plot to Compare Student Grades
Exploring the Correlation: Study Time vs Student Performance
Scatter Plot Creation: Study Habits Unveiled
Scatter Plot Mastery: Study Time vs Exam Score
Interested in this course? Learn and practice with Cosmo!
Practice is how you turn knowledge into actual skills.