BAC449 Data Analysis

4 ECTS - 3-0 Duration (T+A)- 7. Semester- 3 National Credit

Information

Code BAC449
Name Data Analysis
Term 2024-2025 Academic Year
Semester 7. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 4 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Label E Elective
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator İlker İbrahim AVŞAR
Course Instructor İlker İbrahim AVŞAR (A Group) (Ins. in Charge)


Course Goal / Objective

Developing data analysis applications.

Course Content

Doing data analysis with R. To do statistical and data analysis based studies using R programming language. To be able to use data obtained from the Internet.

Course Precondition

Yok

Resources

https://www.r-project.org/other-docs.html

Notes

https://www.rdocumentation.org


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Defines the programming skills learnt as problem solving oriented in business life.
LO02 Defines basic programming concepts such as variables, constants, operators at a level to develop programmes.
LO03 Defines the concept of time series, basic properties of time series, how time series can be used in programming and time series housing.
LO04 Defines the steps of forecasting using time series in business life, the importance of forecasting problems in business life, how forecasting problems will change the way of doing business.
LO05 Defines the process of converting numerical data into graphics, the differences of graphic types, the importance of reading graphics and the importance of graphics in business life.
LO06 Steps to have the ability to develop Prophet applications Defines where applications such as Probhet will be used in business life and the advantages of library applications.
LO07 Defines the importance of the ability to obtain social media data using the Internet, to process the data obtained, to access the databases of companies through programming and to access databases such as the World Bank.
LO08 Defines the importance of the ability to evaluate data analysis opportunities for business life, to access different platforms using programming skills, to obtain data using API and to develop API applications.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Explain all the basic functions of the business conceptually.
PLO02 Bilgi - Kuramsal, Olgusal Explain the basic economic concepts and the relationship between basic economic concepts and business management concepts.
PLO03 Bilgi - Kuramsal, Olgusal Define the basic information about the law discipline related to the field of business administration.
PLO04 Beceriler - Bilişsel, Uygulamalı Transfer information about the field of business in the language of learning by using effective verbal, written and visual communication methods.
PLO05 Beceriler - Bilişsel, Uygulamalı Determine the most appropriate approaches, implementations and methods of business management considering sectors, their sizes, resources, cultures, goals and objectives.
PLO06 Beceriler - Bilişsel, Uygulamalı Determine appropriate methods to solve business problems.
PLO07 Beceriler - Bilişsel, Uygulamalı Research in the field of business and reports the results of the research for use in managerial decision-making processes.
PLO08 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Effectively work as a team and takes the necessary responsibility within the team.
PLO09 Yetkinlikler - Öğrenme Yetkinliği As well as professional development, improve him-/herself continuously in scientific, social, cultural and artistic fields according to his/her interests and abilities, identifying needs of learning.
PLO10 Yetkinlikler - Öğrenme Yetkinliği Follow latest developments in the field, and sustain personal and professional development with the awareness of the necessity of life long learning. 3
PLO11 Yetkinlikler - Öğrenme Yetkinliği Use basic numerical and statistical analysis programs of business management. 5
PLO12 Yetkinlikler - İletişim ve Sosyal Yetkinlik Monitor the external environment factors such as sector structure, competition, technology, economy, politics and culture that affect the activities of businesses and interpret their effects on businesses.
PLO13 Yetkinlikler - İletişim ve Sosyal Yetkinlik Use/report/interpret Business Information Systems and sub-modules required by business management. 5
PLO14 Yetkinlikler - İletişim ve Sosyal Yetkinlik Use Turkish and at least one foreign language in accordance with the requirements in academic and business life.
PLO15 Yetkinlikler - Alana Özgü Yetkinlik Become aware of professional ethics, environmental awareness, sustainability, social responsibility, cultural, social and universal values.
PLO16 Yetkinlikler - Alana Özgü Yetkinlik Follow latest developments in the field, and sustain personal and professional development with the awareness of the necessity of life long learning


Week Plan

Week Topic Preparation Methods
1 Understands the basic principle of programming. Have knowledge about programming languages. Understands the features of the R language programs for the business department. Assignment operators, logical operators Research and practice on the subject Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
2 Basic functions and mathematical operations are learned. understands why the function is written. The command understands the concept of a variable. Research and practice on the subject Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
3 Basic functions and mathematical operations are learned. understands why the function is written. The command understands the concept of variables. Understands the basic data types used in programming. learns number and text based data types. Research and practice on the subject Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
4 Retrieving data from the web and changing data formats, learns the subject of data records. Establishes the relation of received data with data types. Can make sense of data. Research and practice on the subject Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
5 Relates time series creation to data types. Knows the properties of time series. Knows the data used in time series. Recognizes the time series. Research and practice on the subject Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
6 Gains knowledge of forecasting with time series. Understands the concept of estimation. Knows the importance of estimation in terms of business. Demonstrates at least 1 of the prediction models. Research and practice on the subject Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
7 Work is done on Prophet features and application development. Prophet features are known. It is known where Probhet is used. Application is made with Probhet. Research and practice on the subject Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
8 Mid-Term Exam Ölçme Yöntemleri:
Proje / Tasarım, Yazılı Sınav
9 Data collection is carried out from at least 1 of the social media platforms. Working on how to get data with programming tool. The importance of data obtained from the Internet is studied. Research and practice on the subject Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
10 Social media data editing work is done. The data is organized to be used in an analysis. The importance of regulation is explained. The importance of organized data is explained. Research and practice on the subject Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
11 Frequency analysis is studied in social media data. The importance of frequency analysis in terms of business is explained. The student understands the frequency analysis in terms of business life. Research and practice on the subject Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
12 How to do sentiment analysis with social media data is explained. The importance of sentiment analysis in terms of business is explained. How to use sentiment analysis in businesses is explained. Research and practice on the subject Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
13 How to create graphics with social media data is explained. Chart types are handled. Application is made on different graphics. Research and practice on the subject Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
14 Estimation-based project development work is carried out with social media data obtained from the internet or company data. The developed model is interpreted. Research and practice on the subject Öğretim Yöntemleri:
Proje Temelli Öğrenme
15 Frequency analysis-based project development work is carried out with social media data obtained from the internet or company data. The developed model is interpreted. Research and practice on the subject Öğretim Yöntemleri:
Proje Temelli Öğrenme
16 Term Exams preparation to exam Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams preparation to exam Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 3 42
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 7 7
Final Exam 1 18 18
Total Workload (Hour) 109
Total Workload / 25 (h) 4,36
ECTS 4 ECTS

Update Time: 18.02.2025 06:08