About This Course
This course provides a comprehensive introduction to data visualization using Pandas, Matplotlib, Seaborn, and Plotly. Students learn to create meaningful visualizations from data that can help inform decision-making and gain insights into trends and patterns. Students will develop the skills necessary to create and interpret various types of plots, such as line plots, bar charts, heatmaps, and histograms. This course is ideal for anyone looking to gain a better understanding of data visualization.
Learning Objectives
Material Includes
- Dataset
Requirements
- Basic knowledge of data analysis and manipulation
- Familiarity with Python programming language
- Understanding of data structures and data types
- Proficiency in using pandas and numpy libraries
- Basic understanding of statistical concepts
- Comfort with working with datasets and performing data transformations
- Prior experience in data visualization is helpful but not required
Target Audience
- Data analysts
- Business analysts
- Researchers
- Data-driven decision makers
- Professionals seeking to enhance their data visualization skills
Curriculum
Expert Data Visualiation
Overview of Data Visualization
Data visualization with Pandas
Data visualization with Matplotlib
Data visualization with Seaborn
Data visualization with Plotly
DV00X
Your Instructors
Edulearnia
R&D Engineer
I am in love with artificial intelligence, machine learning, deep learning and especially data science. I like challenges and a job well done. I am sure to participate in the local and international development of artificial intelligence. I like reading, writing, soft music. I like to be in a friendly relationship with my entourage, I like to be helpful.
Material Includes
- Dataset
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