日本語 English
| 開講年度/ Academic YearAcademic Year |
20242024 |
| 科目設置学部/ CollegeCollege |
経営学部/College of BusinessCollege of Business |
| 科目コード等/ Course CodeCourse Code |
BT319/BT319BT319 |
| テーマ・サブタイトル等/ Theme・SubtitleTheme・Subtitle |
Introduction to Data Analysis |
| 授業形態/ Class FormatClass Format |
対面（全回対面）/Face to face (all classes are face-to-face)Face to face (all classes are face-to-face) |
| 授業形態（補足事項）/ Class Format (Supplementary Items)Class Format (Supplementary Items) |
|
| 授業形式/ Class StyleCampus |
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| 校地/ CampusCampus |
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| 学期/ SemesterSemester |
春学期/Spring SemesterSpring Semester |
| 曜日時限・教室/ DayPeriod・RoomDayPeriod・Room |
木3/Thu.3 Thu.3 ログインして教室を表示する（Log in to view the classrooms.） |
| 単位/ CreditsCredits |
22 |
| 科目ナンバリング/ Course NumberCourse Number |
GBU2011 |
| 使用言語/ LanguageLanguage |
英語/EnglishEnglish |
| 履修登録方法/ Class Registration MethodClass Registration Method |
その他登録/"Other" Registration"Other" Registration |
| 配当年次/ Assigned YearAssigned Year |
配当年次は開講学部のR Guideに掲載している科目表で確認してください。配当年次は開講学部のR Guideに掲載している科目表で確認してください。 |
| 先修規定/ Prerequisite RegulationsPrerequisite Regulations |
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| 他学部履修可否/ Acceptance of Other CollegesAcceptance of Other Colleges |
|
| 履修中止可否/ Course CancellationCourse Cancellation |
〇（履修中止可/ Eligible for cancellation） |
| オンライン授業60単位制限対象科目/ Online Classes Subject to 60-Credit Upper LimitOnline Classes Subject to 60-Credit Upper Limit |
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| 学位授与方針との関連/ Relationship with Degree PolicyRelationship with Degree Policy |
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| 備考/ NotesNotes |
コンセントレーション：マーケティング領域, アカウンティング＆ファイナンス領域 |
After completing the seminar, students should have the skills to undertake and critically assess introductory level data analysis in financial economics and marketing. This is the first in a series of seminars designed to provide students with a working knowledge in quantitative methods (and tools) for business.
Each session will involve a student presentation on an assigned topic and a follow-up discussion by the instructor or a short in-class exercise using EXCEL. In this era of "Big Data," the ability to summarize data into useful information for decision making is crucial for success in business. The course provides an introduction to summarizing the data in the form of key indicators (descriptive statistics). Students also learn methods for analyzing the data: regressions and conjoint analysis.
Students are expected to check Canvas and their email (Rikkyo account) on a regular basis for announcements.
| 1 | Overview |
| 2 | Turning Data into Information: Descriptive Statistics-variables |
| 3 | Turning Data into Information: Descriptive Statistics-graphs |
| 4 | Turning Data into Information: Descriptive Statistics-mode, median, mean |
| 5 | Turning Data into Information: Descriptive Statistics-standard deviation, variance, range |
| 6 | Turning Data into Information: Descriptive Statistics-correlation |
| 7 | Relationships Between Quantitative Variables: The Regression Model |
| 8 | Relationships Between Quantitative Variables: The Regression Model (Market Model) |
| 9 | Dummy Variables and Regressions |
| 10 | Understanding Conjoint Analysis: An Introduction |
| 11 | Understanding Conjoint Analysis: An Introduction |
| 12 | Case: Conjoint Analysis |
| 13 | Catch-up |
| 14 | Wrap-up |
板書 /Writing on the Board
スライド（パワーポイント等）の使用 /Slides (PowerPoint, etc.)
上記以外の視聴覚教材の使用 /Audiovisual Materials Other than Those Listed Above
個人発表 /Individual Presentations
グループ発表 /Group Presentations
ディスカッション・ディベート /Discussion/Debate
実技・実習・実験 /Practicum/Experiments/Practical Training
学内の教室外施設の利用 /Use of On-Campus Facilities Outside the Classroom
校外実習・フィールドワーク /Field Work
上記いずれも用いない予定 /None of the above
Read assigned chapter carefully before coming to class.
| 種類 (Kind) | 割合 (%) | 基準 (Criteria) |
|---|---|---|
| 平常点 (In-class Points) | 100 |
Presentations & Participation(40%) Assignments(40%) Case Analysis(20%) |
| 備考 (Notes) | ||
| No | 著者名 (Author/Editor) | 書籍名 (Title) | 出版社 (Publisher) | 出版年 (Date) | ISBN/ISSN |
|---|---|---|---|---|---|
| 1 | J. Utts and R. Heckard | Mind on Statistics 5th ed. | Brooks | 2015 | 9781305649811 |
| 2 | G. Privitera | Essential Statistics for the Behavioral Sciences | Sage | 2019 | 9781544328010 |
| 3 | 内田 学、 兼子 良久 | 『文系でもわかる ビジネス統計入門』 | 東洋経済新報社 | 2010 |
This seminar is conducted in English. Detailed course outline distributed second week of class. Strongly urge (require) students to take BT183 Finance and BT188 Financial Accounting in their second year of study. Recommend students take related courses such as business literacy, data mining, mathematics for management, mathematics for finance, etc. offered in COB (and the university) during their second/third year of study.
After completing the seminar, students should have the skills to undertake and critically assess introductory level data analysis in financial economics and marketing. This is the first in a series of seminars designed to provide students with a working knowledge in quantitative methods (and tools) for business.
Each session will involve a student presentation on an assigned topic and a follow-up discussion by the instructor or a short in-class exercise using EXCEL. In this era of "Big Data," the ability to summarize data into useful information for decision making is crucial for success in business. The course provides an introduction to summarizing the data in the form of key indicators (descriptive statistics). Students also learn methods for analyzing the data: regressions and conjoint analysis.
Students are expected to check Canvas and their email (Rikkyo account) on a regular basis for announcements.
| 1 | Overview |
| 2 | Turning Data into Information: Descriptive Statistics-variables |
| 3 | Turning Data into Information: Descriptive Statistics-graphs |
| 4 | Turning Data into Information: Descriptive Statistics-mode, median, mean |
| 5 | Turning Data into Information: Descriptive Statistics-standard deviation, variance, range |
| 6 | Turning Data into Information: Descriptive Statistics-correlation |
| 7 | Relationships Between Quantitative Variables: The Regression Model |
| 8 | Relationships Between Quantitative Variables: The Regression Model (Market Model) |
| 9 | Dummy Variables and Regressions |
| 10 | Understanding Conjoint Analysis: An Introduction |
| 11 | Understanding Conjoint Analysis: An Introduction |
| 12 | Case: Conjoint Analysis |
| 13 | Catch-up |
| 14 | Wrap-up |
板書 /Writing on the Board
スライド（パワーポイント等）の使用 /Slides (PowerPoint, etc.)
上記以外の視聴覚教材の使用 /Audiovisual Materials Other than Those Listed Above
個人発表 /Individual Presentations
グループ発表 /Group Presentations
ディスカッション・ディベート /Discussion/Debate
実技・実習・実験 /Practicum/Experiments/Practical Training
学内の教室外施設の利用 /Use of On-Campus Facilities Outside the Classroom
校外実習・フィールドワーク /Field Work
上記いずれも用いない予定 /None of the above
Read assigned chapter carefully before coming to class.
| 種類 (Kind) | 割合 (%) | 基準 (Criteria) |
|---|---|---|
| 平常点 (In-class Points) | 100 |
Presentations & Participation(40%) Assignments(40%) Case Analysis(20%) |
| 備考 (Notes) | ||
| No | 著者名 (Author/Editor) | 書籍名 (Title) | 出版社 (Publisher) | 出版年 (Date) | ISBN/ISSN |
|---|---|---|---|---|---|
| 1 | J. Utts and R. Heckard | Mind on Statistics 5th ed. | Brooks | 2015 | 9781305649811 |
| 2 | G. Privitera | Essential Statistics for the Behavioral Sciences | Sage | 2019 | 9781544328010 |
| 3 | 内田 学、 兼子 良久 | 『文系でもわかる ビジネス統計入門』 | 東洋経済新報社 | 2010 |
This seminar is conducted in English. Detailed course outline distributed second week of class. Strongly urge (require) students to take BT183 Finance and BT188 Financial Accounting in their second year of study. Recommend students take related courses such as business literacy, data mining, mathematics for management, mathematics for finance, etc. offered in COB (and the university) during their second/third year of study.