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Course content
Sections:
8
•
Activities:
0
•
Resources:
139
- 001 Welcome to the Course Hzvi gitir
- 002 What is Data Z9XL gitir
- 003 Different Types Data Numeric Categorical Data cknV gitir
- 004 Types of Categorical Data Ordinal Simple Categorical BQZm gitir
- 005 Factorial Data xDYz gitir
- 006 Discretization of Data Converting Numeric Variable to Categorical One DaeI gitir
- 008 How to Get Data Observational and Experimental Studies ogJ5 gitir
- 009 Confounding Variables 2W2I gitir
- 010 Random Sampling and Random Assignment to Collect Data dTal gitir
- 011 How to Get Sample Data From Population For Observational Studies W7Zz gitir
- 012 Random Sampling Popular Sampling Strategy Iiq7 gitir
- 013 Stratified Sampling Strategy for Data That is Heterogenous Distributed lpmN gitir
- 014 Cluster and Multi Stage Sampling Strategies Txl7 gitir
- 018 Installation of R and R Studio dVd1 gitir
- 019 Setting Working Directory in R Studio 914j gitir
- 020 Basic Data Types That R can Handle NbSJ gitir
- 021 Vector A Simplest Form Of Data Type in R mAbo gitir
- 023 Matrix A Tabular Form of Data in R nyIE gitir
- 025 DataFrame Most Used Data Type in R w5BA gitir
- 028 List A Big Container to Hold Data o3SZ gitir
- 030 What is Variable Rules to Set Variable Names Gg8s gitir
- 032 R Base Package and Functions An Important Video QWpM gitir
- 034 Functions and Packages in R Mbxh gitir
- 036 Brief Introduction of Bioconductor For Biological Data WZTq gitir
- 038 Basic Definition of Statistics o4gk gitir
- 039 Two Basic Types of Statistics kNJN gitir
- 040 Distribution of Data Normal and Skewed f0qN gitir
- 041 Different Types of Plots to See Distribution of Data sga6 gitir
- 042 Practical 3 1 How to Build Plots in R to See Distribution of Data wVW4 gitir
- 044 Concept of Central Tendency and Mean DCwv gitir
- 045 Concept of Median Value of Data abdX gitir
- 046 Basic Concept of Outliers in Data CrlC gitir
- 047 How to Identify the Outliers G35S gitir
- 048 Important Properties of Mean and Median c8zi gitir
- 049 Where to Apply Mean and Median A Clinical Example yvSk gitir
- 050 Concept of Mode Most Frequent Value in Data SnsV gitir
- 052 Practical 3 2 Calculate Mean Median and Mode In R cBit gitir
- 057 Interquartile Range IQR Get an Idea about Spread of Data j3PH gitir
- 058 Practical 3 3 Calculation of IQR in R k5Sm gitir
- 062 Variance and Standard Deviation Part 1 5VdE gitir
- 063 Practical 3 4 Calculation of Variance in R 1xK4 gitir
- 066 Variance and Standard Deviation Part 2 2D1L gitir
- 067 Practical 3 5 Calculation of Standard Deviation in R Qahw gitir
- 070 Calculate All Descriptive Statistics For Numeric Variables At Once TrIG gitir
- 072 Welcome to Module 4 Handling of Catagorical Data ninZ gitir
- 073 R may Not Identify Categorical Variables Properly SJAE gitir
- 074 Practical 4 1 How to Rectify R Mistake Regarding Categorical Variables Dl41 gitir
- 077 Frequency Tables Basic Statistical Analysis of Categorical Variables gzVr gitir
- 078 Practical 4 2 Building Frequency Tables in R zMrp gitir
- 081 Percentages Proportions to Make Sense of Categorical Data QQRT gitir
- 082 Practical 4 3 Calculations of Percentages Proportions in R aQQH gitir
- 087 Mode for Categorical Data LCD1 gitir
- 088 Practical 4 4 Finding Mode of Categorical Data yjLh gitir
- 091 Contingency Table To Figure Out Relationship of Two Categorical Variables DLL5 gitir
- 092 Practical 4 5 Building Contingency Table of Two Categorical Variables Wezd gitir
- 094 Different Visualization Method for Categorical Data 0iMD gitir
- 095 Practical 4 6 Building Visualization of Single Categorical Data NexP gitir
- 096 Practical 4 7 Building Visualization of Two Categorical Data Together oO11 gitir
- 100 Introduction of Probability qXYU gitir
- 101 Types of Probability and Classical Probability uiM4 gitir
- 104 Emperical and Subjective Probability 4HZz gitir
- 108 Conditional Probability 4cBP gitir
- 111 Introduction of Correlation Important Statistical Concept 9Z0H gitir
- 112 Parametric and Non Parametric Distribution 1Jk2 gitir
- 113 Pearson Correlation k5q7 gitir
- 114 Practical Pearson Correlation Calculation in R PZuk gitir
- 118 ggplot2 Brief Introduction of Data Visulization Package bnfe gitir
- 119 ggplot2 Practical Tutoriall To Make Visulization in R Studio loKk gitir
- 120 Spearman Correlation eqSI gitir
- 121 Spearman Correlation Example zWLz gitir
- 122 Practical Spearman Correlation Calculation in R mnRd gitir
- 125 Kendall Correlation sj4h gitir
- 129 Correlation Summary Wrrb gitir
- 131 Regression Most Decorated Statistical Concept PiaU gitir
- 132 Fundamental Defination of Regression 4DeL gitir
- 133 Different Types of Regression lYhX gitir
- 134 Simple Linear Regression A Simple Elaboration YLif gitir
- 135 Predicted Power of Simple Linear Regression dOXV gitir
- 136 Concept of Residual in Regression Very Important YtPg gitir
- 137 Concept of R Square Value in Regression Results ueLI gitir
- 138 Explantion of R Code to Build Simple Linear Regression oRJh gitir
- 139 Practical 7 1 Building Simple Regression Model in R HXyQ gitir
- 140 Practical 7 2 Understanding of Simple Linear Regression Results in R RL7H gitir
- 144 Introduction of Multiple Linear Regression kfpb gitir
- 145 Defination of Multiple Linear Regression a3rm gitir
- 146 Practical 7 3 How to Build Multiple Regression Model in R Rgjn gitir
- 147 Practical 7 4 How to Visulize Multiple Regression Model in R Using ggplot yvXB gitir
- 148 Practical 7 5 Understanding of Multiple Regression Model Results in R n4Vv gitir
- 149 Basic Assumption that Holds True in Good Multiple Regression Model v9Q7 gitir
- 150 Concept of Linearity Ueqf gitir
- 151 Concept of Independence 4HD0 gitir
- 155 Introduction to Logistic Regression Part 1 ddI4 gitir
- 156 Introduction to Logistic Regression Part 2 FOv1 gitir
- 157 Explantion of Statistical Formula of Logistic Regression QEWB gitir
- 158 Logistic Regression R Code An Introduction qE7r gitir
- 159 Practical 7 6 Building Logistic Regression Model in R Studio W9OE gitir
- 160 Interpretation of Logistic Model Results From R Studio ru5E gitir
- 161 Calculation of Probabilities From Logistic Regression Model GouD gitir
- 162 Interpretation of Logistic Regression Curve wWGs gitir
- 166 Introduction of Module JqBX gitir
- 167 What is hypothesis Its types and Type I Type II Error NVux gitir
- 168 Couple of Examples of Hypothesis Formulation t86Y gitir
- 169 Basic Workflow of Hypothesis Testing sFa7 gitir
- 170 What is Level of Significance q9hy gitir
- 171 Different type of Test for Hypothesis Testing zKJp gitir
- 172 Traditional Method to Make Decsion About Hypothesis iHcH gitir
- 173 P value based Method to Take decsion g1Q8 gitir
- 174 Very Important Note Before Talking About Tests XXMU gitir
- 176 Introduction to Z test and Its Types YeHj gitir
- 177 Example of Z test to Test Hypothesis 14Vr gitir
- 178 What if we have Negative Test Value Tsxi gitir
- 179 Practical 8 1 Performing One Sample Z test in R vpmc gitir
- 181 Introduction ot T Test SZoX gitir
- 182 One Sample T Test and Its Example eQpV gitir
- 183 Practical 8 2 Performing One Sample T test in R LlPv gitir
- 185 Two Sample Independent T Test jTuz gitir
- 186 Explanation of R Code to Perform Two Sample Independent T Test E24Z gitir
- 187 Practical 8 3 Performing Two Sample Indepedent T test in R omPL gitir
- 190 Two Sample Dependent Paired T test yt7e gitir
- 191 Explanation of R Code to Perform Two Sample Dependent Paired T Test WSnz gitir
- 192 Practical 8 4 Performing Two Sample Dependent Paired T Test in R TJFB gitir
- 194 Practical 8 5 How Type I and Type II Error can Occur bTdB gitir
- 196 F Test 9jIN gitir
- 197 Comparsion of F Test with T and Z Test krKW gitir
- 198 Explantion of R Code to perform F Test DGND gitir
- 199 Practical 8 6 Performing F Test in R eF5q gitir
- 203 Introduction of ANOVA and Its Types GIyE gitir
- 204 What is One Way ANOVA How to Calculate it Xxyc gitir
- 205 Explanation of R Code to Perform One Way ANOVA UUSa gitir
- 206 Practical 8 7 Performing One Way ANOVA in R F813 gitir
- 208 What is Two Way ANOVA How to Calculate it nyfu gitir
- 209 Explanation of R Code for Two Way ANOVA UaLX gitir
- 210 Practical 8 8 Performing Two Way ANOVA in R 1G9U gitir
- 214 Introduction of Chi Sq Test A Non parametric Test lJiF gitir
- 215 Chi Sq Test of Independence Theory hl1t gitir
- 216 Explanation of R Code of Chi Sq Test of Independence hjQg gitir
- 217 Practical 8 9 Chi Sq Test of Independence in R P9cn gitir
- 219 Chi Sq Goodness of Fit Test s6ff gitir
- 221 Explanation of R Code of Chi Sq Goodness of Fit mKV6 gitir