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DATA ANALYTICS & APPLICATIONS
(Bachelor Degree)
Bui Duong Hai
Faculty of Mathematical Economics - NEU
haibd@neu.edu.vn
www.mfe.edu.vn/buiduonghai
STATISTICS FOR MANAGEMENT– Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 1
• [1] Jeffey D. Camm et al (2019). Business Analytics, 3rd Ed, Cengage.
Chapter 1 to 8, pp.1 – 421
(6 hard copies are available at Room 905 – A1)
• [2] Duignan, J. (2014). Quantitative Methods for Business Research
Using Microsoft Excel, Cengage Learning.
• [3] Gary Koop (2013). Analysis of Economic Data, Wiley.
• Required Software: Microsoft Excel with Data Analysis Toolpak
• Introduce: SPSS, R
DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 2
Materials
• Moderator: Susan Olivia, PhD
Senior Lecturer in Economics, School of Accounting, Finance and
Economics, Waikato Management School, University of Waikato
Email: susan.olivia@waikato.ac.nz
• Lecturer: Bui Duong Hai, MSc
Faculty of Mathematical Economics, National Economics University
Email: haibd@neu.edu.vn
Page: www.mfe.edu.vn/buiduonghai
DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 3
Moderator and Lecturer
• Chapter 1. Introduction and Basic Concepts
• Chapter 2. Descriptive Statistics
• Chapter 3. Data Vizualization
• Chapter 4. Descriptive Data Mining
• Chapter 5. Probability and Random Variable
• Chapter 6. Statistic Inference
• Chapter 7. Linear Regression
• Chapter 8. Time Series Analysis and Forecast
DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 4
Content
• 1.1. Introduction
• 1.2. Data and Structure
• 1.3. Population and Sample
• 1.4. Type of Variable
• 1.5. Cross-sectional and Time series
• 1.6. Source of Data
DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 5
Chapter 1. INTRODUCTION & BASIC CONCEPTS
Problem Data analyze
Shop’s sale manager: Should
promotion policy focus on female
or male customers?
Proportion of female is 65%, of male is 35%;
average spending of female is $156, of male is
$172
Investor: Is a good time now to
invest in Vietnam’s stock market?
https://ptkt.vietstock.vn/
DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 6
1.1. Introduction
• Decision Making
• Descriptive Analytics
• Describe what has happened in the past
• Data query, report, descriptive statistics, vizualization, data mining
• Predictive Analytics
• Use models constructed from the past to predict the future, or
predict impact of factors
• Prescriptive Analytics
• Indicate a course of action to take, or make decision
DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 7
Branches of Data Analytics
DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 8
Branches of Data Analytics
• Book [1] page 11
DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 9
4 Levels by ScienceSoft USA Corporation
• 4V: Volume - Velocity – Variety – Veracity
• Volume:
• Bit (0 and 1)  Byte = 23 Bits  KB = 210 Byte  Megabyte (MB)
 Gigabyte (GB)  Terabyte (TB)  PB  EB  ZB
• Data generated in 2022: 97 ZB
• Reference: here
• Increasingly increase of volume
DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 10
Big Data
• Velocity: spead of data generated, collected, processed and analyze;
real-time analysis
• Variety: data in many form: numerical, text, image, audio, video
• Veracity: truthfulness,reliability of the data, quality of data
DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 11
Big data
• Source: here
DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 12
Big Data
• Financial Analytics
• Human Resource Analytics
• Marketing Analytics
• Health Care Analytics
• Supply-chain Analytics
• Analytics for Government and Nonprofits
• Sports Analytics
• Web Analytics
• Production Analytics
DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 13
Applications
• Data-driven decision making
• Analytical approach in decision making process
• Three level
• (1) Technological advances
• (2) Methodological development
• (3) Computing power and Storage capability
DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 14
….
• Data is set of information: collected, analyze, summarized, present,
interpret,…
• Classical data:
• Variable
• Observation
• Value
DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 15
1.2. Data and Structure
Variables
No. Name Sex Age
English
Mark
Maths
Score
…
Observations
1 Anderson M 19 A 8 …
2 Becky F 20 C 9 …
3 Charles M 20 B 7 …
… … … … … …. ….
• Population: set of all interested elements
• Population size: N, maybe infinite
• Value from population: parameter
• Sample: subset of Population
• Sample size: n, finite
• Value from sample: statistic
DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 16
1.3. Population and Sample Data










 
  
  

• Qualitative and Quantitative
• Qualtitative (categorical):
• Nominal: Name, Address, Color,…
• Ordinal: Size, Rank
• Binary: Yes/No, Success/Failure
• Quantitative (scale / cardinal)
• Discrete
• Continuous
• Special: date and time
DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 17
1.4. Type of Variable (Measure level)
Options in SPSS software
DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 18
Type of Variable
Qualitative (Categorical) Quantitative (Scale)
Nominal Ordinal Discrete Continuous
Listing,
Grouping
Listing,
Grouping,
Sorting, Listing, Grouping, Sorting
Math operation: ±, , ÷, …
Interval Ratio
Coded by numbers Used to rank
• Variable Name: Include letter and number, starting by letter, no
special symbol
• Variable describle: (label) interpret meaning
• Variable type: nominal, ordinal, scale
• Value format: numerical (integer, decimal), string (text), date,
currency,…
• For qualitative variable: Value label for numerical coding value
DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 19
Formating of Variable
• Cross-sectional:
• Fixed time
• Many individual / entity
• Number of obs: 𝑛
• Time series
• Fixed individual
• Data by time, number of obs: 𝑇
DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 20
1.5. Cross-sectional and Time Series
In 2021 Asset Profit
ACB (Á Châu Bank) 527.8 12.0
TCB (Techcombank) 568.8 23.2
VCB (Vietcombank) 1414.8 27.4
MBB (Military bank) 607.1 16.5
Unit: VND thousand billion
Year 2013 2014 2015 2016 2017 2018 2019 2020 2021
VCB Profit 0.9 1.4 2.0 4.0 8.0 10.7 12.8 15.8 23.2
• Or pooled data: both cross-sectional and time series
• Number of observation is 𝑛 × 𝑇
DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 21
Panel data (Longitudial data)
Year 2013 2014 2015 2016 2017 2018 2019 2020 2021
VCB Profit 0.9 1.4 2.0 4.0 8.0 10.7 12.8 15.8 23.2
TCB Profit
MBB Profit
ACB Profit
• By collecting method
• Experimental data: from experienments
• Observational data: non-experiment
• By author of data
• Primary data: raw data, collected by researcher
• Secondary data: edited data, collected by other agencies:
government, orgnizations, publishers,…
DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 22
1.6. Data Source
Primary Secondary
Advantage - Relevant to purpose
- Flexible
- Larger data, less cost
- Accurate (from official
sources)
Dis-
advantage
- Costly
- May have mistake in
methodoloy, missing
value, error in
measurement,
- May not relevant to
purpose
- Cannot survey further
information
DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 23
Primary and Secondary Data
• Google data: https://www.google.com/publicdata/directory
• GSO VN: https://www.gso.gov.vn/bao-cao-tinh-hinh-kinh-te-xa-hoi-
hang-thang/
• IMF: https://www.imf.org/en/Data
• WB: https://data.worldbank.org/
• VN Stock: https://cophieu68.vn/ ; https://s.cafef.vn/du-lieu.chn
• Inforgraphics: https://www.raconteur.net/infographics/
DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 24
Online Data source
• Install Toolpak: File  Options  Add-ins  Manage: Excel Add-ins
DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 25
Microsoft Excel | Data Analysis Toolpak
• Reading:
• Modifying Data in Excel (p.24), using file Top20Cars.
• Exercises: See structure, variable type, of datas
DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 26
Reading - Exercises
DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 27

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Data_Analytics_Lec01 (1).pptx

  • 1. DATA ANALYTICS & APPLICATIONS (Bachelor Degree) Bui Duong Hai Faculty of Mathematical Economics - NEU haibd@neu.edu.vn www.mfe.edu.vn/buiduonghai STATISTICS FOR MANAGEMENT– Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 1
  • 2. • [1] Jeffey D. Camm et al (2019). Business Analytics, 3rd Ed, Cengage. Chapter 1 to 8, pp.1 – 421 (6 hard copies are available at Room 905 – A1) • [2] Duignan, J. (2014). Quantitative Methods for Business Research Using Microsoft Excel, Cengage Learning. • [3] Gary Koop (2013). Analysis of Economic Data, Wiley. • Required Software: Microsoft Excel with Data Analysis Toolpak • Introduce: SPSS, R DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 2 Materials
  • 3. • Moderator: Susan Olivia, PhD Senior Lecturer in Economics, School of Accounting, Finance and Economics, Waikato Management School, University of Waikato Email: susan.olivia@waikato.ac.nz • Lecturer: Bui Duong Hai, MSc Faculty of Mathematical Economics, National Economics University Email: haibd@neu.edu.vn Page: www.mfe.edu.vn/buiduonghai DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 3 Moderator and Lecturer
  • 4. • Chapter 1. Introduction and Basic Concepts • Chapter 2. Descriptive Statistics • Chapter 3. Data Vizualization • Chapter 4. Descriptive Data Mining • Chapter 5. Probability and Random Variable • Chapter 6. Statistic Inference • Chapter 7. Linear Regression • Chapter 8. Time Series Analysis and Forecast DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 4 Content
  • 5. • 1.1. Introduction • 1.2. Data and Structure • 1.3. Population and Sample • 1.4. Type of Variable • 1.5. Cross-sectional and Time series • 1.6. Source of Data DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 5 Chapter 1. INTRODUCTION & BASIC CONCEPTS
  • 6. Problem Data analyze Shop’s sale manager: Should promotion policy focus on female or male customers? Proportion of female is 65%, of male is 35%; average spending of female is $156, of male is $172 Investor: Is a good time now to invest in Vietnam’s stock market? https://ptkt.vietstock.vn/ DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 6 1.1. Introduction • Decision Making
  • 7. • Descriptive Analytics • Describe what has happened in the past • Data query, report, descriptive statistics, vizualization, data mining • Predictive Analytics • Use models constructed from the past to predict the future, or predict impact of factors • Prescriptive Analytics • Indicate a course of action to take, or make decision DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 7 Branches of Data Analytics
  • 8. DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 8 Branches of Data Analytics • Book [1] page 11
  • 9. DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 9 4 Levels by ScienceSoft USA Corporation
  • 10. • 4V: Volume - Velocity – Variety – Veracity • Volume: • Bit (0 and 1)  Byte = 23 Bits  KB = 210 Byte  Megabyte (MB)  Gigabyte (GB)  Terabyte (TB)  PB  EB  ZB • Data generated in 2022: 97 ZB • Reference: here • Increasingly increase of volume DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 10 Big Data
  • 11. • Velocity: spead of data generated, collected, processed and analyze; real-time analysis • Variety: data in many form: numerical, text, image, audio, video • Veracity: truthfulness,reliability of the data, quality of data DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 11 Big data
  • 12. • Source: here DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 12 Big Data
  • 13. • Financial Analytics • Human Resource Analytics • Marketing Analytics • Health Care Analytics • Supply-chain Analytics • Analytics for Government and Nonprofits • Sports Analytics • Web Analytics • Production Analytics DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 13 Applications
  • 14. • Data-driven decision making • Analytical approach in decision making process • Three level • (1) Technological advances • (2) Methodological development • (3) Computing power and Storage capability DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 14 ….
  • 15. • Data is set of information: collected, analyze, summarized, present, interpret,… • Classical data: • Variable • Observation • Value DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 15 1.2. Data and Structure Variables No. Name Sex Age English Mark Maths Score … Observations 1 Anderson M 19 A 8 … 2 Becky F 20 C 9 … 3 Charles M 20 B 7 … … … … … … …. ….
  • 16. • Population: set of all interested elements • Population size: N, maybe infinite • Value from population: parameter • Sample: subset of Population • Sample size: n, finite • Value from sample: statistic DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 16 1.3. Population and Sample Data                   
  • 17. • Qualitative and Quantitative • Qualtitative (categorical): • Nominal: Name, Address, Color,… • Ordinal: Size, Rank • Binary: Yes/No, Success/Failure • Quantitative (scale / cardinal) • Discrete • Continuous • Special: date and time DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 17 1.4. Type of Variable (Measure level) Options in SPSS software
  • 18. DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 18 Type of Variable Qualitative (Categorical) Quantitative (Scale) Nominal Ordinal Discrete Continuous Listing, Grouping Listing, Grouping, Sorting, Listing, Grouping, Sorting Math operation: ±, , ÷, … Interval Ratio Coded by numbers Used to rank
  • 19. • Variable Name: Include letter and number, starting by letter, no special symbol • Variable describle: (label) interpret meaning • Variable type: nominal, ordinal, scale • Value format: numerical (integer, decimal), string (text), date, currency,… • For qualitative variable: Value label for numerical coding value DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 19 Formating of Variable
  • 20. • Cross-sectional: • Fixed time • Many individual / entity • Number of obs: 𝑛 • Time series • Fixed individual • Data by time, number of obs: 𝑇 DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 20 1.5. Cross-sectional and Time Series In 2021 Asset Profit ACB (Á Châu Bank) 527.8 12.0 TCB (Techcombank) 568.8 23.2 VCB (Vietcombank) 1414.8 27.4 MBB (Military bank) 607.1 16.5 Unit: VND thousand billion Year 2013 2014 2015 2016 2017 2018 2019 2020 2021 VCB Profit 0.9 1.4 2.0 4.0 8.0 10.7 12.8 15.8 23.2
  • 21. • Or pooled data: both cross-sectional and time series • Number of observation is 𝑛 × 𝑇 DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 21 Panel data (Longitudial data) Year 2013 2014 2015 2016 2017 2018 2019 2020 2021 VCB Profit 0.9 1.4 2.0 4.0 8.0 10.7 12.8 15.8 23.2 TCB Profit MBB Profit ACB Profit
  • 22. • By collecting method • Experimental data: from experienments • Observational data: non-experiment • By author of data • Primary data: raw data, collected by researcher • Secondary data: edited data, collected by other agencies: government, orgnizations, publishers,… DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 22 1.6. Data Source
  • 23. Primary Secondary Advantage - Relevant to purpose - Flexible - Larger data, less cost - Accurate (from official sources) Dis- advantage - Costly - May have mistake in methodoloy, missing value, error in measurement, - May not relevant to purpose - Cannot survey further information DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 23 Primary and Secondary Data
  • 24. • Google data: https://www.google.com/publicdata/directory • GSO VN: https://www.gso.gov.vn/bao-cao-tinh-hinh-kinh-te-xa-hoi- hang-thang/ • IMF: https://www.imf.org/en/Data • WB: https://data.worldbank.org/ • VN Stock: https://cophieu68.vn/ ; https://s.cafef.vn/du-lieu.chn • Inforgraphics: https://www.raconteur.net/infographics/ DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 24 Online Data source
  • 25. • Install Toolpak: File  Options  Add-ins  Manage: Excel Add-ins DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 25 Microsoft Excel | Data Analysis Toolpak
  • 26. • Reading: • Modifying Data in Excel (p.24), using file Top20Cars. • Exercises: See structure, variable type, of datas DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 26 Reading - Exercises
  • 27. DATA ANALYTICS & APPLICATIONS – Bui Duong Hai – NEU – www.mfe.edu.vn/buiduonghai 27