Auto-translation used

Using AI tools in Data analysis: Learning experience at the IT ProITivity School

As part of the ProITivity school's data analytics course, we have actively integrated artificial intelligence (AI) tools into the educational process. We aimed not only to introduce students to new technologies, but also to teach them how to apply AI in real—world tasks, from primary data processing to building visualizations and generating analytical insights.

Special attention was paid to solutions such as ChatGPT, Julius AI, and Vizly AI, modern digital analytics assistants that allow you to work with data faster, deeper, and more conveniently.

The purpose of the training

A modern analyst is not just a master of Excel, SQL and Power BI. This is a specialist capable of:

  • quickly find answers to difficult questions;
  • interact with data effectively;
  • critically evaluate the results obtained;

      • Use AI as an intellectual partner.

Our goal is to teach students how to use AI tools as part of their analytical arsenal, broaden their horizons and increase their thinking flexibility.

Practical application

The training at ProITivity is practice-oriented. Students in the classroom:

  • Real datasets were uploaded and analyzed using Julius AI and Vizly AI;
  • We formulated and honed SQL queries, asked ChatGPT to explain their logic and optimize their structure.;
  • AI approaches to data visualization, purification, and interpretation were compared;
  • We conducted an exploratory analysis and built dashboards with minimal code.;

       • We carried out mini-projects in which AI tools played the role of a "second analyst" - they suggested, proposed hypotheses, and clarified calculations.

ChatGPT

Julius AI

Vizly AI

, Overview of tools

💬 ChatGPT

Role: universal text assistant, especially useful at the stage of preparation, planning and interpretation.

Advantages:

  • Explains complex concepts in simple language;
  • It helps to form hypotheses and clarify the formulation of tasks.;
  • Generates SQL queries, DAX formulas, and Python scripts.;
  • He is able to propose an analysis plan and clarify approaches.

Cons:

  • Does not work directly with datasets without third-party integration;
  • There may be inaccuracies in the answers if the context is insufficient.;
  • It requires a critical assessment and verification of the proposed solutions.

📊 Julius AI

Role: "data chat", which allows you to upload tables and work with them in a dialog mode.

Advantages:

  • Easy download of Excel/CSV files;
  • Quick construction of visualizations;
  • Support for SQL and basic Python commands;
  • Easy to learn for beginners.

Cons:

  • Less flexibility for complex analytical queries;
  • The interface doesn't always allow for fine-tuning.;
  • The quality of the result depends on the structure and purity of the source data.

📈 Vizly AI

Role: visualizer and insight generator, focused on rapid exploration analytics.

Advantages:

  • Strong emphasis on visualization: graphs, tables, dashboards;
  • Automatic detection of trends and anomalies;
  • User-friendly and intuitive interface;
  • Support for rapid analysis of large tables.

Cons:

  • Less flexibility in the calculation logic;
  • No SQL/coding support;
  • Requires verification of the proposed conclusions before using them in reports.

Conclusions

AI tools do not replace analytics, but they make it more productive and flexible. They:

  • Reduce time for routine steps — writing code, visualization, filtering;
  • Expand thinking by offering alternative approaches and formulations;
  • They captivate students — they give them the feeling of working with a lively, smart assistant;
  • They improve the quality of analysis through rapid prototyping and hypothesis generation.

What our students have acquired

Upon completion of the course, participants:

  • They can not only build reports, but also collaborate with AI as a colleague.;
  • Have you mastered the skills of quick orientation in new tools;
  • They have become more independent in setting and solving analytical tasks.;
  • We are prepared for the challenges that await analysts in the near future.

📌 Conclusion

At ProITivity, we are confident that the analyst of the future is a human + AI. The ability to use artificial intelligence tools is already becoming a key competitive advantage. Therefore, we continue to develop an approach to learning in which AI is not a threat, but an ally in the profession.

Comments 2

Login to leave a comment

Пайдалы мәліметтер алдым

Reply