NCLab Python Development 4 Certificate: Data Visualization and Analytics with Python (Learn-by-doing, 24/7, Online, Self-Paced, Gamified, Real-Time Instructional Support)

0 credit hours

Credits awarded upon completion

Self-Paced

Progress at your own speed

40 hours

Estimated learning time

About the Course

Description

Python Development 4 (NCLab) Visual Analytics with Python: This is an online, self-paced, learn-by-doing course that empowers Learners to transform raw data into compelling visual insights using Python. Working with Pandas, Numpy, Matplotlib, and Seaborn, Learners create bar charts, pie charts, scatterplots, surface plots, color maps, and 3D visualizations. They explore structured and unstructured data, master the use of 2D Cartesian grids and triangulations, and learn to manipulate and filter data from CSV and other file formats. The course also introduces regression analysis, residual plots, and data cleaning techniques essential for effective analytics. By the end, Learners are well-equipped to interpret and present data visually and statistically in real-world settings.

Topics

Reading and Handling Data Files
Working with Pandas DataFrames
Basic Plotting with Matplotlib
Seaborn Visualizations and Regression
2D Grid-Based Visualizations
3D Visualizations
Triangulations and Unstructured Data
Data Types and Analytical Thinking.

Prerequisites

The REQUIRED prerequisite for this Course is NCLab's Python Development 3.

Sections

Schedule

Asynchronous

Delivery method

Online

$625

Deliverables

0 Credits
Academic Excellence
Earn necessary number of credit hours for completing this content

Outcomes

Upon completion, you'll have the skills and knowledge in the following topics: Reading and Handling Data Files; Working with Pandas DataFrames; Basic Plotting with Matplotlib; Seaborn Visualizations and Regression; 2D Grid-Based Visualizations; 3D Visualizations; Triangulations and Unstructured Data; Data Types and Analytical Thinking.