1

Pre-Assessment

35 questions

2

Sudoku

3

01 Introduction Intro

1

02 What is Data Analysis – Process of Data Analysis

2

03 Process of Data Analysis – Define

3

04 Process of Data Analysis – Collect

4

05 Sources of Data – Part 1

5

06 Sources of Data – Part 2

6

07 Data Collection Plan – Part 1

7

08 Data Collection Plan – Part 2

8

09 Process of Data Analysis – Analysis

9

10 Types of Data – Quantitative

10

11 Types of Data – Qualitative

1

12 Central Tendency – Mean

2

13 Central Tendency – Median

3

14 Central Tendency – Mode

4

15 Practice – Central Tendency

5

16 Data Spread – Range

6

17 Data Spread – Standard Deviation

7

18 Data Spread – VSF

8

19 Symmetry and Skewness

9

20 Practice – Data Spread

10

21 Statistical Outliers – What is an Outlier

11

22 Statistical Outliers – Quartiles

12

23 Statistical Outliers – Tukey Method

13

24 Practice – Outliers

14

25 Diagnostic Analysis

15

26 Practice – Correlation

16

27 Predictive Analysis – Workforce Management

17

28 Predictive Analysis – Forecasting Future Results

18

29 Forecasting Future Results – Simple, Weighted average & Erlang

19

30 Practice – Forecasting

20

31 Prescriptive Analysis – Pareto Analysis

21

32 Practice – Pareto