Looker Studio Course — Data Analysis and Visualization from the Ground Up
Google Analytics 4 Course for Beginners
Google Analytics Certification
KajoDataPath – analytical program
The certificate confirms hands-on completion of the full analytics process: from working with raw source data and preparing it for analysis, through data exploration and analysis, to building SQL queries, Python scripts (pandas, EDA), and creating clear visualizations and dashboards. The program focused on solving real analytical problems and developing coherent metric logic, rather than learning tools in isolation.
Data Analysis in Python
Fundamentals of Python programming (data types, variables, data structures, functions, error handling), working with various data formats, data exploration and analysis (EDA), data visualization, and using the pandas library for processing and analyzing business data. The course focused on solving practical analytical problems using real-world datasets.
Data Analysis and Visualization in Tableau
Creating charts and dashboards, calculations, parameters and filters, data import and joining, Level of Detail (LOD) expressions, data blending, and the fundamentals of visual data storytelling.
Data Transformation and Analysis in Power Query
Data transformation and analysis in Power Query (M): importing data from multiple sources, cleaning, merging and appending queries (merge/append), grouping, pivot/unpivot operations, conditional columns, and data type assignment.
Data Analysis in SQL
Learning SQL with a focus on data analysis, including creating, modifying and deleting database objects, and working in MySQL and PostgreSQL environments.
Data analysis and visualization in Power BI
Creating interactive dashboards and visual reports, data modeling, applying DAX functions, and combining multiple data sources to derive business insights.
Data analysis in Microsoft Excel
Practical Excel data analysis skills, including advanced formulas, pivot tables, data cleaning, and visualization techniques supporting decision-making.
SOLID Principles in Python
An introduction to object-oriented design principles (SRP, OCP, LSP, ISP, DIP) and their practical application in Python. Focus on writing clean, maintainable code, improving class design, and using dependency injection techniques.
Python from Scratch
Scope: programming fundamentals, object-oriented programming, advanced Python concepts (decorators, generators), using the standard library, and working with external libraries (NumPy, pandas, Matplotlib). The training also covered SQL databases and REST API basics.
Git from Scratch
Version control fundamentals, working with branches, committing and reverting changes, collaborating with remote repositories on GitHub, resolving merge conflicts, and code review. The training also covered project workflows and best practices for teamwork.
PyStart – Learning Python Programming
A comprehensive introduction to Python covering programming fundamentals, data operations, loops, functions, and basic automation. The course prepares for further learning in data analysis and using Python in analytical work.
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