Mathematics and Statistics
Learn vital skills in data description, probability theory comprehension, experimental design, statistical result interpretation, and application of statistical models using Python.
The Statistics for Data Analysis course on Udacity provides a comprehensive overview of descriptive statistics, probability, experimentation, algorithms, and a capstone project on analyzing A/B test results. Students will learn how to describe data using various measures, calculate probabilities, implement statistical concepts in Python, and apply regression techniques. The capstone project allows students to gain hands-on experience with A/B testing and effectively communicate their findings and recommendations to business stakeholders.
by Udacity
Learn vital skills in data description, probability theory comprehension, experimental design, stati...
by Udacity
Utilize Microsoft Power BI as a primary tool for data pre-processing, visualization, and analysis.
by Udacity
Upgrade your skills from data novice to spreadsheet wizard, calculating and forecasting key financia...
by Udacity
Learn the 5 key stages of the data analysis process in this hands-on introduction to data analysis.
by Udacity
Build confidence combining different data types and sources to create sophisticated data models for...
by Udacity
Use Python, SQL, and statistics to uncover insights, communicate critical findings, and create data-...
by Udacity
By the end of this course, you’ll be able to use SQL to query multiple tables, join data together fr...
by Udacity
Apply data science best practices to build products that deliver the right experience to the right u...
by Udacity
Intro to Inferential Statistics will teach you how to test your hypotheses and begin to make predict...
by Udacity
Learn to generate personalized recommendations based on user data and run statistically valid tests...