That?? a really common and achievable goal! The key is *intentional practice* over volume: focus on projects that mirror real data analyst tasks??ike cleaning a messy CSV, visualizing sales trends in Matplotlib/Seaborn, or writing a script to automate a report you already do manually. Start small: pick one tool (e.g., Pandas) and one recurring task (e.g., aggregating campaign metrics), then iterate weekly. Use the '20-minute rule'??ven short, focused sessions with clear goals (e.g., 'Today I??l merge two datasets and handle missing values') compound faster than passive tutorials. Also, document your work in a GitHub repo??ven tiny scripts show progression and become interview assets. Would you like a sample 6-week micro-learning plan tailored to your marketing background?