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Terricon School

9

“AI Freelance Data Analyst”

400 000 ₸
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Allocated 15 Quotas

The course “AI Freelance Data Analyst” is a comprehensive practice-oriented program that combines an incubator for mastering the profession of data analyst with a career accelerator for beginner and active freelancers. The course is designed for those who want to: Gain in-demand data skills ranging from Google Sheets to Power BI, SQL, and Looker Studio; Learn how to apply artificial intelligence in analytics; Understand how to find clients and earn money on international freelance platforms, including Upwork; Develop soft skills such as self-presentation, communication with clients, and working in conditions of uncertainty. Course Objectives: Provide students with practical skills in data analysis and visualization necessary for working as a data analyst; Ensure a career start as a BI freelancer, including profile creation and work on platforms such as Upwork; Teach the application of modern BI tools and AI approaches in solving business problems; Help participants build a portfolio based on real-world cases and assignments.

Special condition

Selection Criteria for Participants in the TechOrda Program Admission of participants to the TechOrda program will be carried out on a competitive basis. The selection process consists of two stages: Open Testing — conducted to assess students’ motivation, approach to teamwork, and way of thinking. Each question is evaluated on a 4-point scale: 3 points — for the best answer; 2 points — for an appropriate answer that does not fully align with agile methodology principles; 1 point — for the least appropriate answer; 0 points — for generic or vague responses. The total test score is calculated by summing the points earned for all questions. Interview with Potential Candidates. The purpose of the interview is to determine the level of personal motivation, seriousness toward learning, attitude, interest, and the ability to complete the program successfully. Based on the interview results, the student’s readiness for the course is evaluated using a binary system: ready / not ready. Methods for Assessing Students’ Academic Performance Students’ performance is assessed through oral questioning, tests, practical assignments, mini-projects, and individual projects (final examination works).

Course details

level

For beginner

Study format

Online

Entrance exams

No

Duration, in weeks

26

Education language

Russian

Qualifications

junior

Skills


Mastering Data Analysis Tools Provide students with strong practical skills in using modern BI tools such as Google Sheets, Excel, Power BI, Looker Studio, SQL, and databases. Developing an Analytical Mindset Teach participants to apply acquired knowledge to solve real business problems, build hypotheses, analyze, visualize, and interpret data. Building a Portfolio and Real-World Cases Help students create a portfolio based on practical assignments and case studies that can be used for employment or freelance client work. Developing Self-Presentation and Communication Skills Train participants in self-presentation, client interaction, and building a professional image. Launching a Career on Freelance Platforms (Upwork) Prepare participants for freelance work, including profile setup, finding projects, interacting with clients, and building ratings and trust on the platform. Integrating AI into Analytics Introduce participants to the possibilities of applying artificial intelligence in data analysis and automation of BI tasks.

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