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HW - Analytics Training 101 - Pre-reads
Start Here - Tips to Finish This Course Effectively
Learn the important tips to finish this course efficiently and effectively
Recommended Book for Statistics
Statistics by Deborah Rumsey
Descriptive Statistics - New
Reference Materials Used in This Section
Stats 1 Introduction to data (13:28)
Stats 2 Types of data (7:34)
Stats 3 Data Presentation (6:48)
Stats 4 Charts & Diagrams (13:11)
Stats 5 Correlation (10:20)
Stats 6 Data Modeling (5:12)
Stats 7 Index Number (5:37)
Quiz - Descriptive Statistics
Exercise _ Descriptive Statistics
Measures of Central Tendency & Dispersion
Reference Materials Used in This Section
Stats 8 Measures of Central Tendency (11:10)
Stats 9 Measures of Central Dispersion (14:55)
Stats 10 Measures of Central Dispersion (Variance) (12:48)
Stats 11 Normal Distribution (14:17)
Probability & Bayesian Theory, Probability Distribution, Sampling and Sampling Distribution
Stats 16 Probability (13:26)
Stats 17 Computing joint & marginal probabilities (13:22)
Stats 18 Bayes’ Theorem (25:02)
Stats 19 Random Variables (12:15)
Stats 20 Probability Distribution (Discrete) (13:36)
Stats 21 Probability Distribution (Continuous) (8:34)
Stats 22 Finding Normal Probabilities (17:52)
Quiz _ Probability
Stats 23 Sample, Types of sample (10:20)
Stats 24 Sampling Distribution (12:04)
Stats 25 Example of Sampling (5:21)
Quiz - Sampling Distribution
Exercise - Sampling, Distribution
Theory of Estimation,Testing of Hypothesis & Regression
Reference Materials Used in This Section
Stats 26 Theory of Estimation, Estimation Process,Statistical Inference (7:15)
Stats 27 Test of Hypothesis, Decision Errors, OneLevel of Significance (8:24)
Stats 28 Two-tail test, Testing of hypothesis (18:23)
Stats 29 Degrees of Freedom (8:58)
Quiz - Theory of Estimation ,Testing of Hypothesis
Stats 30 Anova (12:44)
Stats 31 Hypothesis One-Way ANOVA (14:49)
Stats 32 Two Way Anova (6:15)
Stats 33 Regression: Simple Linear & Multiple (14:48)
Stats 34 Coefficient of Determination, R-square, Adjusted R-sqare (13:58)
Stats 35 Example using Excel (18:48)
Quiz - Regression
Exercise _ Regression
Recommended Book for R
R Programming for Data Science
R Installation
R Installation (5:56)
R Introduction & Data Handling
R Lecture 1 - Introduction of R (16:02)
R Lecture 2 - 5 Objects in R (16:25)
R Lecture 3 - Appending & Add a new row & column, deleting row, sequence (12:24)
Exercise
R Lecture 4 - Reading Files in R (17:15)
R Lecture 5 - Conditional Formatting in R (5:15)
R Lecture 6 - Merging & Joining in R (15:17)
R Lecture 7 - Remove Duplicates (5:23)
R Lecture 8 - Numeric Functions in R (8:18)
Exercise - Data Handling in R
Quiz - R Introduction & Data Handling
Data Handling Packages, Basic Functions & Control Structure in R
R Lecture 9 - DPLYR Package Usage (18:05)
R Lecture 10 - Renaming in R (2:59)
R Lecture 11 - Mutate, Summarize, Group by, Pipe Argument (10:54)
R Lecture 12 - T Apply Function (4:05)
R Lecture 13 - Character Functions in R
R Lecture 14 - Write functions in R (10:39)
R Lecture 15 - Control Structure in R (17:20)
Exercise - Control Structure
QUIZ -Data Handling Packages, Basic Functions & Control Structure in R
Exercise - Data Handling Packages, Basic Functions & Control Structure in R
R Lecture 7 - Remove Duplicates
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