Statistics for Data Science & Business Analytics in Python
Apply Statistics in Real World Business Problems Using Python. Build a Career in Data Science and Business Analytics.
4.71 (12 reviews)
84
students
10.5 hours
content
Oct 2023
last update
$49.99
regular price
What you will learn
Foundational understanding of python to analyze data using NumPy and Pandas, and use statistical packages such as SciPy and statsmodels.
Analyzing and visualizing data using python using line charts, bar charts, pie charts, histogram and box plots.
Conducting univariate and bivariate analysis using one-way tables, two-way tables.
Descriptive statistics for univariate and bivariate analysis - mean, median, mode, range, IQR, variance, standard deviation, covariance and correlation.
Data distributions, including mean, variance, and standard deviation, T-distribution and normal distributions and z-scores.
Probability, including union vs. intersection and independent and dependent events and Bayes' theorem.
Sampling distribution, central limit theorem and intuition behind using central limit theorem in hypothesis testing.
Hypothesis testing, including inferential statistics, significance level, type I and II errors, test statistics, and p-values. Test of proportions and chi-squar
Simple Linear Regression using manual method as well as using OLS package in python, Multiple Linear regression, and predicting using the regression model.
Screenshots
5565520
udemy ID
9/18/2023
course created date
10/18/2023
course indexed date
Bot
course submited by