Ideal for teams that…
Hands-on AI and data analytics workshops — built around your team's real cases.
Carry out the full process from loading data, through transformations, to sharing results
Understand the characteristics of NumPy multidimensional arrays
Work with tabular data using the Pandas library
Load and integrate data from various sources and automate the analysis process
Apply acquired knowledge in further Machine Learning work
What we actually do
- · Working with numerical data
- · Characteristics of NumPy multidimensional arrays
- · Using libraries for scientific and engineering computations
- · Working with relational databases (MySQL, PostgreSQL)
- · Working with Excel spreadsheets
- · Loading data from different sources
- · Structure of a Pandas DataFrame
- · Built-in methods for typical analyses
- · Data operations and automation
- · Data visualization with Matplotlib and Seaborn
- · Exporting results and using reporting tools
- · Data cleaning and transformation process
- · Applying acquired knowledge with Scikit-learn
- · Applying acquired knowledge with TensorFlow and Keras
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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