pandas Courses and Certifications

Numpy, Pandas, Matplotlib

1 rating at Udacity

Build practical Python data-analysis skills with NumPy, Pandas, Matplotlib, and Seaborn to transform and visualize data.

• Udacity
• 8 hours
• Self-Paced
• Paid Course

Data Analysis with Python

32 ratings

Learn data analysis in Python: read data from CSVs, databases, and HTML, clean it, and process and visualize it with Numpy, Pandas, Matplotlib, and Seaborn.

• freeCodeCamp
• 300 hours
• Self-Paced
• Free Certificate

Technical Indicators in Financial Analysis with Pandas

Learn to calculate and visualize SMA, EMA, and VWAP with Pandas, using Tesla stock data to examine trends and crossover signals.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Feature Engineering and Correlation Analysis in Pandas

Engineer features and use correlation heatmaps and scatterplots to reveal relationships in diamond data.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Feature Engineering with Pandas and LightGBM

Build stronger predictive models by diagnosing weak features and engineering normalized, binned, binary, ratio, and interaction features with Pandas and LightGBM.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Machine Learning for Absolute Beginners - Level 2

2993 ratings at Udemy

Learn the Python Fundamentals and Pandas Library for Data Science Projects

• Udemy
• 4 hours
• Self-Paced
• Paid Course

Coursera

Applying Python for Data Analysis

20 ratings at Coursera

Use Pandas to clean, manipulate, and analyze a burger restaurant's sales and customer demographic data, applying time series analysis, aggregation, and visualization.

• Coursera
• 2 hours 40 minutes
• Self-Paced
• Paid Course

Data Engineering with Python

Learn to use Python and pandas to load, clean, reshape, and analyze structured datasets, handling missing values and preparing data for downstream workflows.

• Coursera
• 2 weeks, 7 hours a week
• Self-Paced
• Paid Course

NumPy and Pandas Basics for Future Data Scientists

14 ratings at Coursera

Learn NumPy array operations including aggregation, broadcasting, reshaping, sorting and joining, then use pandas for data manipulation, handling and analysis in Python.

• Coursera
• 4 weeks, 5 hours a week
• Self-Paced
• Paid Course

Statistics with Python Using NumPy, Pandas, and SciPy

Apply statistics to data science problems in Python: vector dot products, matrix multiplication, probability basics, data distributions, normal distributions, and sampling-based inference.

• Coursera
• 4 weeks, 5 hours a week
• Self-Paced
• Paid Course

Python and Pandas for Data Engineering

279 ratings at Coursera

Set up a virtual environment with Pandas and Jupyter, use sequences, dictionaries, sets and generators, select DataFrame rows and columns, and commit code from Vim or VS Code.

• Coursera
• 4 weeks, 13 hours a week
• Self-Paced
• Paid Course

Coursera

Python for Data Analysis: Pandas & NumPy

393 ratings at Coursera

Learn the fundamentals of data analysis in Python in a hands-on project, using NumPy arrays and pandas data structures to manipulate and analyze data.

• Coursera
• 1 hour 35 minutes
• Self-Paced
• Paid Course

[Beta] Python for Data Science: Working with Data

262 ratings at Codecademy

Hands-on pandas practice—merges, groupbys, pivot tables, loops and custom functions—applied to four real datasets in Jupyter Notebook projects.

• Codecademy
• 9 hours
• Self-Paced
• Free Trial Available

Data Manipulation in Python: Master Python, Numpy & Pandas

2709 ratings at Udemy

Learn Python, NumPy & Pandas for Data Science: Master essential data manipulation for data science in python

• Udemy
• 3 hours 47 minutes
• Self-Paced
• Paid Course

CS Dojo

Intro to Data Analysis - Visualization with Python, Matplotlib and Pandas - Matplotlib Tutorial

2 ratings

Learn to use Matplotlib in Jupyter Notebook to plot CSV data and compare U.S. and China population growth.

• YouTube
• 22 minutes
• Self-Paced
• Free Video