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CEBD 1150 Introduction to Big Data Business Cases and Data Collection

Introduction to Big Data Business Cases and Data Collection 

Samie Ly, PhD MBA 

CEBD1150 | Prof. Samie Ly, PhD MBA

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Professor Samie Ly and the Innovatank team worked together to build an exciting course for you this semester.

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CEBD1150 – Big Data Case Collection

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As part of the Innovatank Publishing Program, textbooks all come with our latest technologies in creating relevance and engagement in the classroom. Students have access to real-life cases, industry professionals interview content, talent search ranking in addition to all features included in this program.

Introduction to Business

Introduction to Business

Introduction to Business

Various Authors

Custom Package | Innovatank

 

Learn More

As part of the Innovatank Publishing Program, textbooks all come with our latest technologies in creating relevance and engagement in the classroom. Students have access to real-life cases, industry professionals interview content, talent search ranking in addition to all features included in this program.

 

 

THE MCQ4 PROJECT 

This project is a technology allowing Multiple-Choice Questions to shuffle exponential of 4. Making questions unique for each students. Shuffled via options, questions, algorithmic and context. Now available in BETA

CASE PLATFORM

Students gain access to the Innovatank Platform showcasing up to date case studies and weekly activities prompting students to practice ad apply what they learn in the classroom in a context. Proven as an effective and engaging method of learning.

Our packages are OER centered, the textbook have mix and match capabilities presenting on the platform. Below are the topics instructors can choose from to build their course. 

  • Introduction to Business 
  • Business Frameworks 
  • Business Environment
  • Global Environment
  • Financial Markets 
  • Legal Environment
  • Ethics
  • Business Formation 
  • Entrepreneurship
  • Management
  • Motivating Employees
  • Teamwork and Communication
  • Business Processes
  • Marketing Function
  • Marketing Mix
  • Human Resource Management
  • Accounting and Finance
  • Using Technology 

This Introduction to Business Package has been created by multiple authors to offer instructors with a variety of resources. 

– Mini Case Authors 

– Test Bank 

– Presentation Slides

 

8 Mini Cases Each Mini Case is used as a classroom activity for stuents to familiarize themselves wit theoretical topics.
Presentation Slides Full presentation slides are available to assist instructors in their teaching
Testing with MCQ4 MCQ questions are available using our MCQ4 shuffling by option, question, context and numerical (available if the question has quantative values).

 

Textbooks 

 

  • Fundamentals of Business by Stephen J. Skripak
  • Introduction to Business by Rice University
  • Introduction to Business by Lumen Learning
  • Fundamentals of Business by eCampusOntario (Canadian Edition)

Quantitative Analysis for Social Science Research

Quantitative Analysis

Advanced Economics Topics gives students an introduction on multiple movements such as Jane Jacob’s work and Innovations in the ever changing Urban landscape. 

Topics covered

  1. Economics
  2. Empirical Verification
  3. Ecnomies of Agglomeration
  4. Hub Cities and Transport Costs
  5. Urban Land Values
  6. Jacob’s Urban Economics
  7. City Instabilities
  8. Jacobs’ Spectrum of Economic Regions
  9. Innovation

Part 1 – General Information. 4

Why the Apparatus?. 4

Acknowledgements. 4

Who is Charles-Albert Ramsay?. 4

Part 2 – Research Methods Review.. 5

1 – What is Social Science?. 6

2 – How to Build Knowledge Scientifically?. 8

3 – Citing Sources. 12

4 – Research Design. 16

5 – Operationalization. 18

6 – Research Power 21

7 – Sampling. 24

8 – Available Data. 26

9 – RM Synthesis. 28

Part 3 – Crunching Numbers 31

1 – Some Guiding Principles. 32

2 – Interpretation of Data. 33

3 – Characteristics, Populations and Statistics. 37

4 – Basic Calculations. 39

5 – Presenting Data. 44

Part 4 – Using Excel 46

1 – Using the Keyboard. 47

2 – The Pivot-Table. 49

Part 5 – The Distribution of Observations 51

1 – What is a Distribution?. 52

2 – What are Moments?. 55

2 – First Moment: Central Tendency. 56

4b – Midrange. 67

5 – Weighted Mean. 69

6 – Truncated Mean. 71

7 – Second Moment: Dispersion. 73

7b – Why n-1?. 85

8 – Grouped Data. 89

9 – Third Moment: Skew.. 93

10 – Measuring Skewness. 98

11 – Fourth Moment: Tails. 99

Part 6 – Comparing Variables 101

1 – Bivariate Table of Data. 102

2 – Longitudinal Scatter Plots. 105

3 – Bivariate Scatter Plots. 107

3b – Which technique to use to measure association?. 109

4 – Correlation. 110

5 – Coefficient of Determination. 115

6 – Linear Regression. 117

6b – Calculating the Line of Best Fit 123

7 – Bivariate Regression. 124

8 – Multivariate Regression. 131

Part 7 – Basic Tools of Statistical Inference 135

1 – Probabilities. 136

2 – The Normal Curve. 138

3 – Z-Scores. 144

3a – Probabilities Applied to Inference. 150

3b – Quintiles, Deciles, and Percentiles. 151

4 – Central Limit Theorem.. 153

5 – Standard Error of the Mean. 156

6 – Confidence Intervals. 158

6b – Overlapping Confidence Intervals. 163

6c – Optimal Sample Size. 164

Part 8 – Using Inference to Test a Scientific Hypothesis 166

1 – Simple Sample Mean Hypothesis Test 167

2 – Student’s T Curve. 174

3 – Differentiated Sample Hypothesis Test 178

4 – One-Tail or Two?. 184

5 – ANOVA.. 185

6 – Chi-Square Test 187

Part 9 – Revision Sheets 190

Part 10 – A Science Project 194

1 – Defining the Data. 195

2 – Defining Variables and Operationalization. 196

3 – Frequency Tables. 198

Part 11 – Writing a Paper 199

1 – Documenting the Literature Review.. 200

2 – Academic Voice. 201

3 – Quick and Dirty Number Guide. 202

4 – Quick and Dirty Writing Guide. 207

5 – MLA Style. 211

6 – APA Style. 213

7 – Revision Checklist 216

Sample

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