Course Python - Basics of Data Analysis
The Basics of Data Analysis course is intended for all applicants who want to find employment in the dynamically growing segment of data analysis. The course covers key knowledge that applicants need for the position of a data analyst working with Python.
Minimum input knowledge
The course is suitable for applicants interested in data analysis who have successfully mastered the topics covered in the Python programming - basics course and ideally also Python programming for advanced users.
Course dates Python - Basics of Data Analysis
Course price: 290.00 / 356.70 EUR
without VAT / incl. VAT
The manual is included in the training price.
Training syllabus Python - Basics of Data Analysis
Introduction to Data Analysis
- What data analysis is
- Roles: data analyst, data engineer, data scientist
Advanced Techniques for Working with Data
- Advanced work with functions
- Selection, filtering and sorting of data
- Grouping data
- Working with float and Decimal types
- Use of dataclass and namedtuple
Working with Data Sources
- CSV, JSON and XML formats
- Processing Excel files using the openpyxl module
Data Visualization
- Creating charts using the Matplotlib library
- Chart types: scatter, line, bar, pie
- Working with subplots
Web Scraping - Obtaining Data from the Web
- HTTP requests using the httpx module
- Parsing HTML with the selectolax module
Working with Databases
- Working with SQLite and PostgreSQL databases
- Basics of SQL language
- sqlite3 and psycopg2 modules
Introduction to the Pandas Library
- Working with data frames (DataFrames)
- Loading and exporting data
- Selection, sorting and grouping of data
AI in Data Analysis
- Use of AI tools for data analysis
- ChatGPT and LLM for working with data
- Automation of reports using AI
- OpenAI library and API
Output knowledge
Graduates will gain key knowledge and skills that are needed for the work of a data analyst working with Python.
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