Statistics for Data Science: Solve Real World Data Problems.
Learn The Statistics For Data Science & Build Practical Real-World Case Studies.Visualize, analyze & predict like Apro.
5.00 (5 reviews)
101
students
4.5 hours
content
May 2025
last update
$54.99
regular price
What you will learn
Understand different types of data: categorical, numerical, and how to measure them.
Master data visualization techniques (bar charts, line charts, pie charts, histograms, box plots, and more).
Grasp key statistical measures such as mean, median, mode, variance, and standard deviation.
Analyze central tendency, spread, and outliers to summarize and interpret data effectively.
Measure relationships using correlations, covariance, and heatmaps.
Dive deep into hypothesis testing with real-world applications of t-tests, chi-square tests, and more.
Learn to implement linear regression models and interpret p-values, coefficients, and R-squared values.
Use Statsmodels, a powerful Python library, to perform statistical analysis and modeling in your projects.
Course Gallery
6492765
udemy ID
28/02/2025
course created date
01/05/2025
course indexed date
Bot
course submited by