This course teaches how to use Matplotlib for data visualization in Python. The learning outcomes include creating various types of plots such as bar charts, histograms, scatter plots, and line charts. Students will also learn how to customize plots, work with data frames, and animate visualizations. The course covers installation, basic usage, advanced features, and integration with other libraries like Seaborn. The intended audience for this course is beginners in Python programming who are interested in data science, machine learning, or data visualization.
Overview
Syllabus
Matplotlib Tutorial Hindi Part 01 : Introduction, Course Content, Installation.
Matplotlib Tutorial Hindi Part 02 : Line Graphs.
Matplotlib Tutorial Hindi Part 03 : Window Basics And Jupyter VS IDE.
Matplotlib Tutorial Hindi Part 04 : Titles Labels And Legend.
Matplotlib Tutorial Hindi Part 05 : Colors And Bar Charts / Bar Graph.
Matplotlib Tutorial Hindi Part 06 : Histograms.
Matplotlib Tutorial Hindi part 07 : Scatter Plots And Stack Plots.
Matplotlib tutorial Hindi Part 08 : Pie Charts.
Matplotlib Tutorial Hindi Part 09 : Loading Data From File [CSV and TXT] To Plot Graphs.
Matplotlib Tutorial Hindi Part 10 : Adding Grid Lines To Graphs.
Matplotlib Tutorial Hindi Part 11 : Adjusting The Limits Of Axis, xlim() & ylim() function.
Matplotlib Tutorial Hindi Part 12 : Adjusting Location & No. Of Columns of Legend.
Matplotlib Tutorial Hindi Part 13 : Data Visualization Of Company Sales Data W/ Matplotlib | Ex. 1.
Taught by
Tech With Rushabh
