Webclass 117: Introduction to a much easier and immediate way auditors can harness generative AI and Python for data analytics

Q1. What is possible with the Einblick platform?

Build entire data workflows with one sentence prompts

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Automatically generate PPT reports

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Q2. What is different between the Einblick platform and Chat GPT 4?

Einblick platform has a canvas that allows you to map out the process and update parts of the process, so that the entire workflow can be automated

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Einblick platform allows data upload

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Q3. What does the Einblick tool convert the natural language query into?

Python commands with comments

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Graphical display

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Q4. What percentage of data scientists use editors that cannot be understood by non-technical stakeholders?

98%

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53%

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Q5. What percentage of managers have trouble understanding data visualizations and models?

64%

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73%

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Q6. In Einblick’s opinion, is Excel a complex tool?

Yes

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No

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Q7. Is programming more or less complex in terms of a tool?

Less complex

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More complex

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Q8. Is programming more or less flexible in terms of a tool?

More flexible

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Less flexible

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Q9. Can python allow the programmer to pretty much do anything? (except make the coffee)

Yes

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No

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Q10. Someone who knows equally well python and Excel can achieve the same task quicker or slower in Python

Quicker

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Slower

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Q11. In python, do we have to code everything from scratch?

No we can use packages

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Yes, it requires all functions to be programmed.

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Q12. Can we use python packages to do predictive analysis?

Yes

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No

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Q13. What is an LLM in programming?

It is a Large Language Model that uses deep learning techniques and massively large data sets to understand, summarize, generate and predict new content

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It is a Large Language Model that helps you to translate from English to other languages and vice-versa

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Q14. What is the Natrual Language ToolKit?

Helps to understand text data

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Helps to create more accurate sentences

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Q15. What is Facebook Prophet?

Open-source tool from Facebook to predict time series data and can take into account seasonality, holidays, etc.

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It is a set of data that Facebook provides that marketing agencies can use to fuel predicitve models

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Q16. What is ETS?

Error Trend Seasonality: a time series decomposition model, error/ trend and seasonality – forecasting model, now used by Excel

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Even Trend Scoring: a time series decomposition model that helps predict future values

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Q17. What is XGBoost?

Extreme Gradient Boosting: Scalable distributed boosted decision tree machine learning library: used for classification prediction, such as fraud detection or regression prediction, fore example, house pricing prediction

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Xgradient Boosting: A Random Forest that helps you to predict future values based on fixed conditions

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WC117 – Introduction to a much easier and immediate way auditors can harness generative AI and Python for data analytics

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Webclass 117: Introduction to a much easier and immediate way auditors can harness generative AI and Python for data analytics

admin June 9, 2026

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