Autoplay
Autocomplete
Previous Lesson
Complete and Continue
Special Interview Preparation Batch - Nov 2018 - Dec 2018
Recommended Book for Statistics
Statistics by Deborah Rumsey
Start Here - Tips to Finish This Course Effectively
Learn the important tips to finish this course efficiently and effectively
Descriptive Statistics
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)
Time Series Analysis & Forecasting
Reference Materials Used in This Section
Stats 12 Forecasting (10:30)
Stats 13 Components of Time Series (6:04)
Stats 14 Measurement of Secular Trend (19:05)
Stats 15 Forecasting Software (13:49)
Quiz - Time Series Analysis & Forecasting
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
Statistics Interview Refresher & Questions
Quick Reference Guide on Business Statistics Concepts
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 16 - Steps for Modelling ,Hypothesis Testing
R Lecture 17 - SQL in R
R Lecture 18 - Subset & Filtering & If Else
R Lecture 19 - If Else Then Condition
R Lecture 20 - Assignment discussion 1
R Lecture 21 - Assignment discussion 2
R Lecture 22 - Summary Statistics
R Lecture 23 - Assignment discussion 3
Quiz- SQL, Dplyr, Summarise & group by
Predictive Modelling Using R
R Lecture 24 - MLRM
R Lecture 25- Hypothesis & Regression, MLRM Development Process
R Lecture 26- Prediction Equation,MLRM Methodology,Multicollinearity
R Lecture 27 - Auto-Correlation
R Lecture 28 - MAPE Description , Case Study Discussion
R Lecture 29- MLRM Case study
Quiz - Linear Regression
R Lecture 30 - Logistic Regression
R Lecture 31 - Logistic Regression Modelling
R Lecture 32 - Logistic Regression Case study 1st part
R Lecture 33 - Logistic Regression Case study Regression part
Quiz - Logistic Regression
R Lecture 34 - Time Series
R Lecture 35 - Components of time series
R Lecture 36 - Random walk in TS
R Lecture 37- ARIMA forecasting
R Lecture 38 - Time Series Case study 1st Part
R Lecture 39 - Time Series Case study 2nd Part
Quiz - Time SERIES
R Lecture 40 - K-Means Clustering
R Lecture 41 - Methodology,Types of clustering, Centroids
R Lecture 42 - Case study
R Lecture 43 - Decision Trees
R Lecture 44 - Example, Random Forest
R Lecture 45 - Cart Model
R Lecture 46 - Random Forest Model
Quiz - Decision tree & Clustering
Interview Preparation Lectures & Question Banks - Stats / R / SAS
Stats Interview Preparation Lecture
R/SAS Interview Preparation Lecture
Data understanding Interview Preparation Lecture
Interview Question Banks, Processes, Flows - Very Important
R Lecture 24 - MLRM
Lesson content locked
If you're already enrolled,
you'll need to login
.
Enroll in Course to Unlock