Learn cross-validation and hyperparameter tuning.Understand overfitting, bias-variance trade-offs, and model optimization.Apply feature ...
Four modules with durations ranging from ~6 hours to 1 week each.Hands-on projects and exercises included for each topic.Self-paced format ...
Applicable for roles like ML Engineer, Data Scientist, or Predictive Analytics Specialist.Provides practical workflow skills from data prep to ...
Covers decision trees, random forests, regression, and K‑means clustering.Teaches ensemble methods and boosting for improving model accuracy....
Prior experience with Python, Pandas, and NumPy is recommended.Assumes familiarity with basic data handling and visualization.Focuses on ...
Covers Tufte’s data-ink ratio and Cairo’s visualization wheel.Teaches heuristics for clear and accurate visual communication.Includes ...
Total duration: approximately 22 hours.Four modules covering fundamentals, advanced charting, and applied visualizations.Self-paced format ...
Applies to roles like Data Analyst, BI Developer, and Data Scientist.Develops skills to create dashboards and visual reports.Increases ...
Covers line plots, scatterplots, bar charts, and overlays.Introduces advanced charts: histograms, boxplots, heatmaps, and subplots.Includes ...
Basic Python and Pandas knowledge is recommended.Focuses on visual storytelling rather than programming fundamentals.Introduces Matplotlib ...
