Statistics for Data Science Teacher training Free Take this course Curriculum Statistics for Data Science 1. Introduction 1 Lecture1.1 1.1 Introduction 2. Estimations 10 Lecture2.1 2.1 Introduction Lecture2.2 2.2 Population_and_sample Lecture2.3 2.5 Point_estimator Lecture2.4 2.7 Sampling_distribution Lecture2.5 2.9 Bias_of_estimator Lecture2.6 2.12 maximum likelihood estimators Lecture2.7 2.14 Model_parameter estimation Lecture2.8 2.18 Interval Estimation Lecture2.9 2.20 Confidence intervals construction Lecture2.10 2.22 recap 3. Statistical Inference 9 Lecture3.1 3.1 Introduction Lecture3.2 3.2 Hypothesis testing Lecture3.3 3.4 Errors_and significance levels Lecture3.4 3.6 Test about mean Lecture3.5 3.8 P-value Lecture3.6 3.9 [Code] P-value Lecture3.7 3.11 Test about_difference of mean Lecture3.8 3.12 Effect size Lecture3.9 3.14 Recap 4. Hypothesis Testing in Action 8 Lecture4.1 4.1 Introduction Lecture4.2 4.2 Average treatment effect Lecture4.3 4.5 Analysis of Variance (ANOVA) Lecture4.4 4.8 Independent Test Lecture4.5 4.10 Goodness-of-Fit Test Lecture4.6 4.12 Normality Test Lecture4.7 4.14 Test about Linear regression Lecture4.8 4.17 Recap Curriculum Free Take this course Share: You May Like Read More admin Web Scraping with Minimal Coding Students 2 Free Read More admin Optimizing DAX (New) Students 2 Free Read More admin Optimizing DAX Students 2 Free Read More admin Mastering DAX Students 2 Free
