10:51
Decision Trees - Part II | CHAID & CART Trees | Cost Based Splitting | Bonferroni Correction
23:13
Outlier |Types | Analysis | Detection Methods | Challenges
32:54
Naive Bayes Algorithm | Bayes' Theorem | Class Conditional Independence | Laplace Estimator
49:53
Six Sigma - Evolution, Definition, Sixsigma measures, Process Capability Index, Sigma score, DMAIC
29:42
Frequent Pattern Growth Algorithm | FP Trees | Frequent Itemset Mining Methods
42:51
Decision Trees and Random Forest | Gini Index | Entropy | Information Gain | Bagging | Boosting
59:59
Data warehousing - Basics | Modeling | Implementation
07:47
Ljung-Box Test | Dickey Fuller Test (DF Test) | Augmented Dickey Fuller Test (ADF Test)
27:43
Time Series Techniques - Auto Regression (AR)| Moving Average (MA)| ARMA Model | ARIMA Model
44:46
DataMining Basics - Kinds of Data | Kinds of Patterns | Attributes and its types | Data Objects
28:24
Time Series Techniques - Moving Average and Exponential Smoothing
19:50
Auto-correlation Function - ACF | Partial Auto-correlation Function - PACF | Data Stationarity
15:03
Forecasting Accuracy- MAE MAPE MSE RMASE | Theil’s coefficient- U Statistic|Dealing with Seasonality
37:40
Introduction to Data Mining
18:26
Multiple Linear Regression | Polynomial Regression
26:18
Introduction to Time Series
14:04
Linear Regression
20:59
Inferences in Multiple Linear Regression
22:39
Mean Vector | Population and Sample Mean | Variance | Covariance
20:35
Correlation |Types with Examples | Karl Pearson | Spearman | Yule’s Coefficient of Association
21:51
Introduction to Analytics
01:29:09
Role of Technology in Education and Teaching
15:51
SVM - Support Vector Machines | Introduction | Kernel Trick | Linear Kernel
01:09:41
Getting Insights through Web Analytics | Google Analytics
12:58
Measuring a Nations Income - Part II
20:17
Measuring a Nations Income - Part I
50:50
Display Advertising and Referral Traffic
45:57
Social media marketing
28:54
Affiliate Marketing and Email Marketing
28:56
Search Engine Advertising
52:37
SEO - Search Engine Optimization
06:00
Kmeans Clustering in Python
20:59
Model Validation Techniques in Machine Learning using Python
37:54
Monetary System |Money| Money-Types & Kinds | Banks & Money Supply | Reserve Ratio | Leverage Ratio
19:47
Market Structures - Perfect Competition | Monopolistic Competition | Monopoly| Duopoly | Oligopoly
45:17
Costs | Cost Function | Types of costs | Costs in short run and in the long run.
27:31
Production Function - Short run & Long Run | Law of Production Function | Law of variable proportion
25:42
Creating a website through Wordpress and Bluehost.com
30:05
Important Terminology & Technology for Start ups and Business | Digital Marketing
26:28
Building online presence for your business
39:17
Elasticity and Application | Demand Elasticity | Supply Elasticity
42:39
Market Forces of Supply and Demand | Demand Curve | Supply Curve | Demand and Supply Equilibrium
17:51
Statistical Process Control | Control Charts | R chart | C chart | np Chart | ANOVA
52:31
Market Segmentation | Market Targeting | Differentiation | Positioning
25:51
Digital Marketing Ingredients | Digital Marketing Planning Process
27:27
Need for Digital Marketing
30:34
Principles of Economics
29:46
Thinking like an Economist
38:23
Evolution of Marketing | New marketing realities | 7P and 4C of Marketing Mix
16:43
Correlation and Regression Analysis in R Programming
40:21
Graphical Analysis using R language | GGPlot2 | 3Dplot | Corrgram | Graphs for Publishing
16:45
Scope of Marketing
29:55
Marketing concepts | Process of Marketing
11:10
What is a Market? | What is Marketing? | Introduction
27:39
Fundamentals of R | Introduction
45:36
Datatypes in R | Data Manipulation
22:39
Python - Basics
19:08
Controlling | Operations Management | Productivity
35:28
Principles of Management | Controlling - Part 2
10:09
Principles of Management |Controlling - Part 1
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