PYTHON FOR BUSINESS ANALYTICS
PYTHON FOR BUSINESS ANALYTICS
COURSE/ UNIT INFORMATION
Course Master of Business Administration
Course Level Masters
Module Name Python for Business Analytics
ASSIGNMENT INFORMATION
Formative Assignment/Summative Assignment FORMATIVE ASSIGNMENT
Faculty Dr. Hafiz Mudassir Rehman
TO BE FILLED BY THE STUDENT
Student Name Student ID Email ID Date Submitted 6350-33655ASSIGNMENT COVER PAGE
00ASSIGNMENT COVER PAGE
MARKS DIVISION
For the reference of the Learners Only. The total marks of both assignments will get the grade as per the descriptors.
NB: The Turnitin will be checked by the assessment team, the report need not be generated from the students side.
Assessment type Marks
FORMATIVE ASSIGNMENT PRESENTATION 40
SUMMATIVE ASSIGNMENT REPORT60
Overall Marks 100
GRADE DESCRIPTORS
GPA GRADE MARKS (Out of 100)
4 A+ 97-100
3.9 A 94-96
3.7 A- 90-93
3.3 B+ 87-89
3 B 84-86
2.7 B- 80-83
2.3 C+ 77-79
2 C 74-76
1.7 C- 70-73
1.3 D+ 67-69
1 D 64-66
0.7 D- 60-63
0 F Below 60
Module Description
The current business world is characterized by the explosion of data available to organizations. Many companies collect this data from different sources and under different structures. While many organizations do not know what to do with this potential gold mine of information, the most successful companies are those who are taking advantage of this data to make the right managerial decisions. This module is an opportunity for the learners to understand the use of modern tools when analysing big data and applying the right practices to ensure the growth of business.
Learning outcomes
LO1. Establish an in-depth insight about basic concepts of business analytics and use of python to relate its importance in organizational decision making.
LO2 Develop an ability to produce appropriate graphical and numerical descriptive statistics for different data types and use it for decision-making through Python.
LO3. Analyse and use appropriate models of data analysis to solve hidden solutions to business-related challenges.
LO4. Formulate an awareness of the benefits and pitfalls of analytics utilizing tools in different business domains of an organization including marketing, operations, and human resource management.
Expectations
Materials Access
All learning materials are provided in the form of a module kit and can be accessed from the Learning Management system (LMS)
Learning Hours
Students need to be aware of their commitment requirements regarding study time. To give you an indication of that, we have based the following information on the Malta Higher Education Quality Assurance Agency guidelines. The notional learning hours associated with qualifications, programmes and individual units of study are based on a broad agreement across institutions that students can expect to spend 10 hours learning on average in order to gain one academic credit unit (QAA 2006).
Re-sit
If you do not secure a pass when calculated from both the assignments, please read closely the feedback and speak with your Course leader(s) or faculty. After consulting the feedback, close attention is essential to rework on the areas of weakness, and then resubmit the work at the next opportunity. As per the QAA requirements, only one REDO is allowed where the marks will be capped at a Pass.
Plagiarism
All forms of plagiarism are taken seriously, and any suspected cases will be investigated thoroughly. If a case is found proven, then the work will be graded as a failure and the case will be reviewed by the academic committee. The assessment team checks the Turnitin before the evaluation of the assignment is undertaken.
Student appeals
There are no re-evaluations as the marks are graded and internally verified before release for both the assignments. However, as per our appeals policy, a student can make an appeal to the course leader which will be then reviewed by the academic committee (please check our academic policies and procedures manual for more information)
Assignment submission extensions
Students can apply for extensions via the LMS based on extenuating circumstances (if any) with evidence (proof) as per our extensions policy.
General Guidelines
Complete the To be filled by the student section in the cover page.
Both the assignments must be submitted as an electronic document in required format via the LMS
There are no criteria for PPT as you can be as creative as possible. For the word document Use 12 Times New Roman script with 1.5 spacing between lines.
The results are declared only if the student has met the mandatory attendance requirement of 75% and/or minimum 50 % under extenuating circumstances approved and ratified by the academic committee and the examination board.
The students have to submit both Formative and Summative Assignments to score a minimum of 60% to clear the module.
The assignment should not contain any contents with references cited from websites such as ukessays.com, styudymode.com, slideshare.net, scribd.com, Wikipedia but should contain references/citations from credible academic journal and articles.
Submit the assignment on the LMS with the file name being: First Name Last Name _ Module Abbreviation_Type of assignment. For example: John Smith_PBA_FormativeChecklist
I have filled the student Information columns below.
The assignment is checked for being Formative/Summative and is being submitted accordingly.
I have strictly followed Harvard Referencing Style and Citations.
Formative Assignment Grades
Sno. Task Grade Comments
1 Pick an area of business need and explain the process of using business analytics to make a decision. ../10 2 Discuss the type of data you would require for this situation and which quality aspect will you assess from the data quality framework to ensure you have taken the right decision? Additionally, discuss the factors you would consider before analysing the big data you have gathered? ../10 3 Explain different uses of different types of descriptive statistics. ../10 4 (a) Calculate the descriptive statistics of the data set given below using excel, take a screenshot of excel sheet and paste in the presentation ../05 4 (b) Interpret the measures of Mean, Median, Mode, Standard Deviation, and Variance ../05 Assessment type Marks Marks Achieved
FORMATIVE ASSIGNMENT PRESENTATION 40 GPA GRADE FEEDBACK ON FORMATIVE
WOOLF PRESENTATION RUBRIC
All the questions that are given in the presentation part (Formative Assignment) will be checked for these descriptors. A detailed explanation can be provided to the learners when preparing the sheet based on the following pointers.
Professional Documentation Content Completion Content Accuracy Speaker Notes and Explanation Given Applicability of Contents
20% of Marks 20% of Marks 20% of Marks 20% of Marks 20% of Marks
The overall presentation documentation, use of good images/tables/SmartArt. The learners are expected to have a consistency in the font and size of text. It is also important to the desired number of slides as per the assignment brief.
*The cover, thank you/Q&A and references slides arenot countedin the given number.
The learners must ensure that they have covered all the required questions asked in the task. The complete content would be covering all the explanation required in all the parts of the questions given in the task. The accuracy of the content is related to the applicability of the concepts. It is also linked to the facts and figures used. An accurate content would be correctly cited. This factor is about the speaker notes being added in the presentation and the effort of engaging the reader.
The explanation through an apt speaker note should and self-explanatory. None of the speaker notes to be too detailed that it starts confusing rather than explain the concepts. The learner has been able to portray with the work, the application of the concepts in a factual manner.
Assessment
Python for Business Analytics
Scenario: You have been recently hired by a multi-national organization (choose any industry that you like) as a data analyst. Before giving you the on-site task, the organization desires to conduct a test to understand your knowledge of business analytics. The team has asked you to prepare a presentation with speaker notes on the following topics. The idea is to know your knowledge and understanding of the basic data management.
Formative Assignment (40 Marks, 12-15 Slides)
Pick an area of business need and explain the process of using business analytics to make a decision. [10 marks].
Discuss the type of data you would require for this situation and which quality aspect will you assess from the data quality framework to ensure you have taken the right decision? Additionally, discuss the factors you would consider before analysing the big data you have gathered? [10 marks].
Explain different uses of different types of descriptive statistics [10 marks]
For the sample data set, given below, perform basic level descriptive analysis and interpret the results (total 36 entries are there).
15659102540000
Calculate the descriptive statistics of the data set given below using excel, take a screenshot of excel sheet and paste in the presentation. [5 marks]
Interpret the measures of Mean, Median, Mode, Standard Deviation, and Variance [5 marks].
PYTHON FOR BUSINESS ANALYTICS
COURSE/ UNIT INFORMATION
Course Master of Business Administration
Course Level Masters
Module Name Python for Business Analytics
ASSIGNMENT INFORMATION
Formative Assignment/Summative Assignment SUMMATIVE ASSIGNMENT
Faculty Dr. Hafiz Mudassir Rehman
TO BE FILLED BY THE STUDENT
Student Name Student ID Email ID Date Submitted 149860238125ASSIGNMENT COVER PAGE
00ASSIGNMENT COVER PAGE
MARKS DIVISION
For the reference of the Learners Only. The total marks of both assignments will get the grade as per the descriptors.
NB: The Turnitin will be checked by the assessment team, the report need not be generated from the students side.
Assessment type Marks
FORMATIVE ASSIGNMENT PRESENTATION 40
SUMMATIVE ASSIGNMENT REPORT60
Overall Marks 100
GRADE DESCRIPTORS
GPA GRADE MARKS (Out of 100)
4 A+ 97-100
3.9 A 94-96
3.7 A- 90-93
3.3 B+ 87-89
3 B 84-86
2.7 B- 80-83
2.3 C+ 77-79
2 C 74-76
1.7 C- 70-73
1.3 D+ 67-69
1 D 64-66
0.7 D- 60-63
0 F Below 60
Module Description
The current business world is characterized by the explosion of data available to organizations. Many companies collect this data from different sources and under different structures. While many organizations do not know what to do with this potential gold mine of information, the most successful companies are those who are taking advantage of this data to make the right managerial decisions. This module is an opportunity for the learners to understand the use of modern tools when analysing big data and applying the right practices to ensure the growth of business.
Learning outcomes
LO1. Establish an in-depth insight about basic concepts of business analytics and use of python to relate its importance in organizational decision making.
LO2 Develop an ability to produce appropriate graphical and numerical descriptive statistics for different data types and use it for decision-making through Python.
LO3. Analyse and use appropriate models of data analysis to solve hidden solutions to business-related challenges.
LO4. Formulate an awareness of the benefits and pitfalls of analytics utilizing tools in different business domains of an organization including marketing, operations, and human resource management.
Expectations
Materials Access
All learning materials are provided in the form of a module kit and can be accessed from the Learning Management system (LMS)
Learning Hours
Students need to be aware of their commitment requirements regarding study time. To give you an indication of that, we have based the following information on the Malta Higher Education Quality Assurance Agency guidelines. The notional learning hours associated with qualifications, programmes and individual units of study are based on a broad agreement across institutions that students can expect to spend 10 hours learning on average in order to gain one academic credit unit (QAA 2006).
Re-sit
If you do not secure a pass when calculated from both the assignments, please read closely the feedback and speak with your Course leader(s) or faculty. After consulting the feedback, close attention is essential to rework on the areas of weakness, and then resubmit the work at the next opportunity. As per the QAA requirements, only one REDO is allowed where the marks will be capped at a Pass.
Plagiarism
All forms of plagiarism are taken seriously, and any suspected cases will be investigated thoroughly. If a case is found proven, then the work will be graded as a failure and the case will be reviewed by the academic committee. The assessment team checks the Turnitin before the evaluation of the assignment is undertaken.
Student appeals
There are no re-evaluations as the marks are graded and internally verified before release for both the assignments. However, as per our appeals policy, a student can make an appeal to the course leader which will be then reviewed by the academic committee (please check our academic policies and procedures manual for more information)
Assignment submission extensions
Students can apply for extensions via the LMS based on extenuating circumstances (if any) with evidence (proof) as per our extensions policy.
General Guidelines
Complete the To be filled by the student section in the cover page.
Both the assignments must be submitted as an electronic document in required format via the LMS
There are no criteria for PPT as you can be as creative as possible. For the word document Use 12 Times New Roman script with 1.5 spacing between lines.
The results are declared only if the student has met the mandatory attendance requirement of 75% and/or minimum 50 % under extenuating circumstances approved and ratified by the academic committee and the examination board.
The students have to submit both Formative and Summative Assignments to score a minimum of 60% to clear the module.
The assignment should not contain any contents with references cited from websites such as ukessays.com, styudymode.com, slideshare.net, scribd.com, Wikipedia but should contain references/citations from credible academic journal and articles.
Submit the assignment on the LMS with the file name being: First Name Last Name _ Module Abbreviation_Type of assignment. For example: John Smith_PBA_SummativeChecklist
I have filled the student Information columns below.
The assignment is checked for being Formative/Summative and is being submitted accordingly.
I have strictly followed Harvard Referencing Style and Citations.
Summative Assignment Grades
Sno. Task Grade Comments
1 You should summarize your report briefly ../05 2 You should introduce your organization along with a hidden (hypothetical) problem in any one of the departments for which you would like to propose business analytics as a tool for the organization. ../10 3 Conduct a literature review to demonstrate the use of business analytics in various real-life organizations. These cases might be from your chosen industry or any other industry. Ensure at least 3 articles are taken to conduct literature review and at least one of them is demonstrating an organization using Python ../10 4 (a) Apply the BADIR model to the current situation and draw a plan to show to the COO the use of this model of data analysis to solve this hidden problem ../15 4 (b) Compare and Contrast at least 2 of the analytical methodologies that you feel are relevant to the chosen organization and might be useful in different situations ../10 5 (a) You should summarize the main findings, including their implications. ../10 5 (b) Provide recommendations about the business analytical tools that you would like to bring to the firm for a progress with proper justification ../10 Assessment type Marks Marks Achieved
SUMMATIVE ASSIGNMENT REPORT 60 GPA GRADE FEEDBACK ON SUMMATIVE
WOOLF ASSIGNMENT RUBRIC
All the questions that are given in the word document (Summative Assignment) will be checked for these descriptions and the percentage of marks will be determined based on each. A detailed explanation can be provided to the learners when preparing the sheet based on the following pointers.
Descriptors Percentage of Marks
Relevance: Directly relevant to the requirements of the assessment. 20%
Knowledge: A substantial knowledge of relevant materials, showing a clear grasp of themes, questions, and issues therein. 20%
Explanation: Good explanation in a clear, structured manner. 10%
Argument and Structure: Generally coherent and logically structured, using an appropriate mode of argument and/or theoretical model(s). The candidate has shown understanding and application of correct methods to the situation provided. 20%
Critical Evaluation: It May contain some distinctive or independent thinking; it may be to formulate an independent position related to theory and/or practice. 20%
Presentation: Well written, with standard spelling and grammar, in a readable style with acceptable style with acceptable format. 5%
References and Citation Uses a range of sourcesvery good use of source material to complete the work and the references and citation are in order. 5%
Assessment:
Python for Business Analytics
Scenario: Choose an organization and think that you have been recently appointed as the Data Scientist for organization. Assume that the Chief Operating Officer (COO) has approached you to give you your first case. The company has been for very long working on the traditional approaches and now wants to bring in data analytics as a practice. You know that this is a great opportunity for the company to go in for some advanced applications of analytics. It is your intuitive thought that the organization can use different sources of data to capture user information and enable far better personalization of advertisements.
The candidate is free to choose any organization that he/she may have sufficient first-hand knowledge of, preferably where you are working currently or have worked in the past, or an example organization that you have chosen for the purposes of this assignment. This may be a family business, a multi-national organization, a college or university, or any other organization that lends itself to discussion and analysis.
The candidate is expected to follow the Project Report format, which should contain the following questions:
Summative Assignment (60 Marks, 3500 words)
Executive Summary: You should summarize your report briefly. [05 Marks, 300 Words]
Introduction You should introduce your organization along with a hidden (hypothetical) problem in any one of the departments for which you would like to propose business analytics as a tool for the organization. [10 Marks, 600 Words]
Literature Review: Conduct a literature review to demonstrate the use of business analytics in various real-life organizations. These cases might be from your chosen industry or any other industry. Ensure at least 3 articles are taken to conduct literature review and at least one of them is demonstrating an organization using Python [10 marks, 700 Words]
Application:
Apply the BADIR model to the current situation and draw a plan to show to the COO the use of this model of data analysis to solve this hidden problem. [15 Marks, 800 Words]
Compare and Contrast at least 2 of the analytical methodologies that you feel are relevant to the chosen organization and might be useful in different situations. [10 marks, 600 Words]
Conclusions and Recommendations:
You should summarize the main findings, including their implications [5 Marks, 250 Words]
Provide recommendations about the business analytical tools that you would like to bring to the firm for a progress with proper justification. [5 Marks, 250 Words]
