![Data Science A-Z: Hands-On Exercises & ChatGPT Prize [2026]](https://img-c.udemycdn.com/course/750x422/513244_b831_4.jpg)
Learn Data Science step by step through real Analytics examples. Data Mining, Modeling, Tableau Visualization and more!
Data Science A-Z: Hands-On Exercises & ChatGPT Prize [2026]
InstructorKirill Eremenko![Data Science A-Z: Hands-On Exercises & ChatGPT Prize [2026]](https://img-c.udemycdn.com/course/750x422/513244_b831_4.jpg)
Learn Data Science step by step through real Analytics examples. Data Mining, Modeling, Tableau Visualization and more!
InstructorKirill EremenkoEditorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
This Tableau dashboard visualizes customer retention data using stacked bar charts that break down the number and percentage of stayed versus exited customers across different balance ranges.
This screen capture displays an SSIS Data Flow task in Visual Studio, illustrating how to use Conditional Split components to separate valid data from errors during ETL processing.
The screen displays Microsoft SQL Server Management Studio with a script to create a table and a results pane showing sample transactional data rows.
This educational slide illustrates logistic regression by plotting a sigmoid curve that maps input values to predicted probabilities between zero and one.
The curriculum provides detailed coverage of linear and logistic regressions, including model assessment techniques like R-squared and geodemographic segmentation.
Instruction includes specific workflows for data preparation, such as handling truncation and automating error handling via conditional splits in SSIS.
Learners have noted that Microsoft software versions and Tableau interfaces in the videos do not align with current standards.
The ETL component requires Microsoft SQL Server, which lacks native support on Mac systems and offers no alternative methods in the curriculum. One signal from September 2025 predates the January 2026 update label, leaving it uncertain if this was addressed.
One signal suggests difficulty in locating specific data files required to follow the practical exercises.
The curriculum aligns with the target audience but presents a barrier for Mac users due to SQL Server requirements. One signal from September 2025 predates the January 2026 update label, leaving it uncertain if this was addressed.