ChatGPT in data science and analytics
Hands-on AI and data analytics workshops — built around your team's real cases.
Ideal for teams that…
Hands-on AI and data analytics workshops — built around your team's real cases.
Efficiently apply current language models (GPT-4o, ChatGPT-5, LLaMA 3, Mistral 7B, etc.) in analytics
Design prompts for analysis, insight generation, and reporting
Automate analytical workflows — from data ingestion to visualization and reporting
Select the right AI model for each task consciously and strategically
Clearly separate roles between ChatGPT and code (Python) to maximize efficiency
Use tools like Streamlit, LangChain, Flowise to build interactive analytics and automation
Integrate AI into analytical tools and business applications
Recognize risks, ensure data security, and monitor AI output quality
What we actually do
Day 1: Introduction to ChatGPT in the context of Data Analytics
- · Module 1: Current Landscape of Language Models in Data Science Architecture and capabilities of language models for analytics Overview of available models: GPT-4o, ChatGPT-5, LLaMA 3, Mistral 7B — differences in features, context length, file support Combining traditional analytical methods (statistics, ML) with AI Example applications in business analysis and reporting The future of AI in analytics — deeper integrations and multi-source data use
- · Module 2: Prompt Engineering, Role Division, and Data Handling Designing effective prompts for data exploration and synthesis Handling multiple data formats: CSV, JSON, Excel — preparation and extraction Advanced data cleaning, transformation, and enrichment using LLMs Exploratory Data Analysis (EDA) assisted by generative tools Clear role separation: when ChatGPT generates code (Python, Pandas/NumPy), and when it directly analyzes data via API Integration of ChatGPT with Python for data automation Workshops: practical scenarios with CSV, JSON, and Excel datasets
Day 2: Automating Analyses and Practical AI Applications
- · Module 3: AI-Powered Data Exploration, Transformation, and Visualization Automated filtering, segmentation, and aggregation Generating statistical interpretations and visualizations — choosing measures and chart types Building and validating predictive models with LLM assistance Automated time-series analysis and forecasting Workshop: turning “raw” data into actionable insights using Python + ChatGPT
- · Module 4: Report Generation and Workflow Automation Creating dynamic summaries, narratives, and recommendations from data Building pipelines that automate analysis and reporting Data storytelling: interactive dashboards and visualizations Overview of tools and frameworks: Streamlit, LangChain, Flowise — practical examples for building interactive apps and automated workflows Workshop: building a simple automation pipeline for data import, analysis, and reporting
Day 3: Integrations, Security, and Best Practices
- · Module 5: Deploying AI in Production and Monitoring Implementation and integration strategies in business environments Quality control, monitoring, and real-time optimization of AI outputs Managing analytics projects with AI as a decision-support tool
- · Module 6: Security, Ethics, and Responsible AI Use Risks and pitfalls: incorrect or biased outputs, data issues, model bias Best practices for data security and GDPR compliance Monitoring AI quality and error-handling mechanisms Case studies of AI adoption in analytics and lessons learned
From brief to retro in 30 days.
Brief & diagnosis
A call with the team lead + a short survey for participants. We define goals, gap and context.
Program customization
We adapt modules, case studies and code examples to your stack. Approval in 5 days.
Workshop
Trainer-led sessions, hands-on, code review. Mentor available between sessions too.
Retro + report
Outcome report for the team and lead. 30 days of consulting included.
Send a brief. We'll reply within 1 day.
After a short brief we'll prepare a program and a quote. No obligations — it's just a starting point.
Thank you!
We'll get back to you within 1 business day.
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