MGT 555 – Business Analytics

  • PM by Purnomo M Antara
  • Duration 120h
  • Total Enrolled 121
  • Last Update March 26, 2021

Description

This course provides an introduction to the field of business analytics, which has been defined as the extensive use of data i.e., statistical and quantitative analysis, descriptive, predictive and prescriptive models. The use of Excel and Tableau as an analytic and visualization tools to support business analytics is discussed. Moreover, the application of selected data mining techniques to business decision making situations is also illustrated. Students actively participate in the delivery of this course through case, problem based learning and project presentations.

Topics for this course

Chapter 1: introduction to business analytics, what is business analytics, evolution of business analytics, scope of business analytics, data for business analytics, problem solving with analytics, mgt555 – quiz 1, chapter 2: analytics on spreedsheets, introduction to ms excel, basic excel skills, excel functions, using excel lookup functions for database queries, data validation in ms excel, exercise 1a, exercise 1b, chapter 3: data visualization and exploration, pivottable – part 1 11:02, pivot tables – part 2, pivot tables – part 3, mgt555 – quiz 3, mgt555 – exercise 2, chapter 4: descriptive statistical measures, populations and samples 3:42, measures of central tendency, measures of dispersion, mgt555 – exercise 3a, coefficient of variation, mgt555 – exercise 3b, measure of shape, adding-in data analysis button to ms excel 2:04, excel descriptive statistics tool 2:11, statistical thinking in business decision, mgt555 – quiz 4, mgt555 – exercise 3c, individual assignment 1 – 30%, individual assignment 1, chapter 5: statistical inference, introduction 6:46, hypothesis testing 9:17, one-sample hypothesis tests, exercise 5: hypothesis development and determining side of the tail, excel function, example 5.1: test of one-sample hypothesis for the mean: one-tailed test, example 5.2: test of one-sample hypothesis for the mean: two-tailed test, two-sample hypothesis tests, example 5.4: two-sample for mean, two-sample test for means with paired samples, example 5.5: paired two-sample test for mean, analysis of variance (anova) 8:52, example 5.6: one-way anova test, chi-square test for independence, chapter 6: regression analysis, modeling relationships and trends in data, simple linear regression, residual analysis and adhering the regression assumptions, multiple linear regression, chapter 7: forecasting techniques, introduction, qualitative forecasting approaches, quantitative forecasting model – moving average model, quantitative forecasting model – exponential smoothing model, chapter 8: introduction to data mining, what is data mining, common approaches in data mining, the data mining process, mgt555 – individual assignment 2, mgt555 – individual assignment 2, mgt555 – final test, mgt555 – final test, additional chapter, creating charts using tableau, spreadsheet add-ins for business analytics, data queries, statistical methods for summarizing data.

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An Open Comparative Study of the Effectiveness and Incomparable Study of the Immunogenicity and Safety of the Vaccine (CoviVac) for Adults Aged 60 Years and Older

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  • Volunteers who are able to fulfill the Protocol requirements (i.e., fill out a self-observation Diary, come to control visits).

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SARS-CoV-2 infection • A case of established COVID-19 disease confirmed by PCR and/or ELISA in the last 6 months.

Diseases or medical conditions

  • Serious post-vaccination reaction (temperature above 40 C, hyperemia or edema more than 8 cm in diameter) or complication (collapse or shock-like condition that developed within 48 hours after vaccination; convulsions, accompanied or not accompanied by a feverish state) to any previous vaccination.
  • Burdened allergic history (anaphylactic shock, Quincke's edema, polymorphic exudative eczema, serum sickness in the anamnesis, hypersensitivity or allergic reactions to the introduction of any vaccines in the anamnesis, known allergic reactions to vaccine components, etc.).
  • Guillain-Barre syndrome (acute polyradiculitis) in the anamnesis.
  • The axillary temperature at the time of vaccination is more than 37.0 ° C.
  • Acute infectious diseases (recovery earlier than 4 weeks before vaccination) according to anamnesis.
  • Donation of blood or plasma (in the amount of 450 ml or more) less than 2 months before inclusion in the study.
  • Severe and/or uncontrolled diseases of the cardiovascular, bronchopulmonary, neuroendocrine systems, gastrointestinal tract, liver, kidneys, hematopoietic, immune systems.
  • Is registered at the dispensary for tuberculosis, leukemia, oncological diseases, autoimmune diseases.
  • Any confirmed or suspected immunosuppressive or immunodeficiency condition in the anamnesis.
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  • Long-term use (more than 14 days) of immunosuppressants or other immunomodulatory drugs (immunoregulatory peptides, cytokines, interferons, immune system effector proteins (immunoglobulins), interferon inducers (cycloferon) during the six months preceding the study, according to anamnesis.
  • Treatment with systemic glucocorticosteroids (≥ 20 mg of prednisone, or an analog, for more than 15 days during the last month).
  • Volunteers who received immunoglobulin preparations or blood transfusion during the last 3 months prior to the start of the study according to anamnesis.

Other non-inclusion criteria

• Participation in any other clinical trial within the last 3 months.

Exclusion criteria:

  • Withdrawal of Informed consent by a volunteer;
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  3. MGT502 Organizational Lecture 23 to 30

  4. MGT555 TOURISM PRESENTATION_BA2324A

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