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Data Analysis, Visualisation & Storytelling Program

In collaboration with

Data Analysis, Visualization & Storytelling program is starting with the cooperation of UP School and Ford Otosan. 

Successful graduates will be able to start their careers at Ford Otosan after the program.

What is Data Analysis, Visualization & Storytelling?

 Data Analysis is defined as the modeling process that putting in order and configures the collected raw data. Data Analysis helps teams in their decision-making process.  Data visualization and storytelling, on the other hand, is the transformation of raw data into understandable images and making inferences from the raw data, and presenting this information in the most understandable way. Data visualization and data storytelling are of great importance for companies to make fast and effective decisions in this data age.

Who is Eligible for Application?

Women between the ages of 22-35 who graduated with a degree in -preferably- Mathematics, Statistics or Engineering, or will graduate in 2020.

How will the application process progress?

Duration of Program


   The program will last 10 weeks, 6 hours a week. Technical training period is 60 hours. In addition to technical training, additional TA Office Hours  are opened for students to ask questions. These sessions are 16 hours in total.

  • Online Form

  • English Test

  • Technical Test

  • Interviews

What Will Students Gain From This Program?

Python Crash Course

Statistical Analysis

Storytelling

NumPy

Pandas

Matplotlib / Seaborn

SQL

Data Cleaning

Machine Learning

APIs and Web Requests

Text Analytics

Human Skills

 

In UP School, besides its strong technical equipment; have strong values, in the teams they work with creating a culture of success together; strong communication, not giving up in the face of difficulties , creative young women who are critical of the processes will be brought up.

  • Working Agile

  • Mock Interviews

  • Feedforward          

  • Good Communication

  • Positive Challenge

Hard Skills

Students will prepare for their careers in Data Science during a ten weeks long project and practice based program,

Learn from many academic and professional role models while being supported by their mentors.

You will practice the up-to-date field studies created with companies that have done successful jobs in the field of data science.

After the program, you will have the opportunity to work at Ford Otosan.

What Awaits You in the Program?

 

The program offers the following to students who have successfully completed the application phase of the Data Analysis program, which will be implemented in cooperation with UP School and Ford Otosan, and who are accepted to the program:

 

  • Online Data Analysis, Visualisation and Storytelling training that combines theory and practice and support sessions with TA’s, 6 hours/week

 

  • YGA sessions in which students work on their human skills and collaborative success abilities, CV and job interview preparation workshops, 2 hours/week

 

  • Mentoring from experienced YGA Graduates for 10 weeks.

 

  • Being a part of the UP School Alumni Network, mentoring new UP students if desired, joining UP School’s Alumni workshops and activities

Tuna Çakar
Lead Instructor

Tuna Çakar graduated from Sabancı University, Department of Biological Sciences and Bioengineering in 2004. After completing his master's degree in the Cognitive Sciences Program of Boğaziçi University in 2009, Çakar completed his doctorate in the Department of Cognitive Sciences at METU Informatics Institute in 2015. His doctoral dissertation was on understanding the decision-making processes of sameness value judgments in humans using models based on mathematical, neurophysiological and biometric measurement methods. Tuna Çakar is currently working actively in the field of applied neuroscience in sector-specific and academic projects. After taking part in the academic staff of Özyeğin University, Istanbul Bilgi University, Acıbadem University, he is currently teaching graduate courses at MEF University.

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