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Course overview
What will i learn?
Requirements
Curriculum for this course
28 Lessons
05:08:11 Hours
HR Analytics-Introduction
1 Lessons
00:09:37 Hours
-
Introduction
Preview 00:09:37
Data Analysis Toolpack
1 Lessons
00:02:18 Hours
-
Data Analysis Toolpack
00:02:18
Descriptive Statistics
2 Lessons
00:19:43 Hours
-
Business problem #1 solved
00:11:54
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Business problem #2 solved using histogram
00:07:49
Inferential Statistics
8 Lessons
01:44:13 Hours
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Inferential stats and hypothesis testing
00:26:58
-
Business problem #3 solved using correlation and covariance
00:13:45
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Business problem #4 solved using paired t-test
00:10:17
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Business problem #5 solved using t test unequal variance
00:07:08
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Business problem #6 solved using ANOVA single factor
00:23:04
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Business problem #7 solved using ANOVA two factor with replication
00:10:16
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Business problem #8 solved using ANOVA two factor without replication
00:06:21
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Business problem #9 solved using z test
00:06:24
Predictive statistics
7 Lessons
01:26:54 Hours
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Predictive statistics
00:02:49
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Introduction to Linear Regression
00:45:18
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Business problem #10
00:01:31
-
. Business problem #10 solved using LR
00:07:14
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Business Problem#11 and introduction to moving average and exponential smoothing
00:06:03
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Solving business problem #11 using moving average
00:10:42
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Solving business problem #11 using exponential smoothing
00:13:17
Conclusion
1 Lessons
00:03:50 Hours
-
Conclusion
00:03:50
Bonus-Top excel formula you should know
8 Lessons
01:21:36 Hours
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Count and Frequency
00:13:53
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Largest and Smallest Values
00:03:56
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Averages
00:18:17
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Confidence Intervals
00:09:00
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Percentile, Quartiles and Rank
00:10:30
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Deviation and Variance
00:09:47
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Covariance
00:04:45
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Trend Line Functions
00:11:28
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