Lesson 1
The Data Analysis Process
Learn about the data analysis process and the Python packages used in this course
Introduction to Data Analysis with Pandas and NumPy
Course
Learn the data analysis process of questioning, wrangling, exploring, analyzing, and communicating data. You will work with data in Python using libraries like NumPy and pandas.
Learn the data analysis process of questioning, wrangling, exploring, analyzing, and communicating data. You will work with data in Python using libraries like NumPy and pandas.
Intermediate
3 weeks
Real-world Projects
Completion Certificate
Last Updated December 21, 2023
Pandas • Exploratory data analysis • Basic data visualizations • Jupyter notebooks
Basic Python • Basic descriptive statistics
Course Lessons
Lesson 2
Jupyter Notebooks
Jupyter Notebooks are a great tool for sharing insights and visualizations alongside your code. This lesson covers how to create them and utilize their various features.
Lesson 3
Exploring and Inspecting Data
Use the pandas library to load data, view its properties, and start asking data analysis questions
Lesson 4
Manipulating Data using Pandas and NumPy
Use the pandas library to perform data cleaning, filtering, and reshaping tasks. This includes troubleshooting issues with data as well as optimizing for memory usage and speed.
Lesson 5
Communicating Results
Draw conclusions and communicate results to stakeholders by calculating statistics and creating basic data visualizations with the pandas library
Lesson 6 • Project
Investigate a Dataset
Choose one of Udacity's curated datasets, perform an investigation, and share your findings.
Taught By The Best
Matt Maybeno
Principal Software Engineer
Matt is a Principal Software Engineer at SOCi. With a masters in Bioinformatics from SDSU, he utilizes his cross domain expertise to build solutions in NLP and predictive analytics.
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