Learn essential data analysis techniques in Python through this comprehensive tech tutorial from Data Science Conference Europe 2023. Master the fundamentals of data preparation and cleaning using Jupyter Notebook, explore descriptive analysis methods, and create impactful visualizations. Dive into inferential statistics including T-test, ANOVA, MANOVA, and Mann-Whitney U tests while understanding correlation measures and linear regression analysis. Gain practical experience in interpreting statistical results within business contexts and creating detailed analytical reports. Progress from basic concepts to advanced topics like Time Series Analysis, developing a thorough foundation in Python-based data analytics that can be immediately applied to real-world data science challenges.