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Python PCAD Data Analyst
When reporting depends on spreadsheets or one person's scripts, results get inconsistent and reviews slow down. This intermediate PCAD™ course gives IT Directors and Training Managers a structured way to build a shared Python data analysis baseline. Analysts, data-focused IT practitioners, and Team Leads who support reporting all work from the same workflow. Across 61 skills, learners move from Jupyter Notebooks, NumPy, and Pandas into data cleaning, missing values, grouping, filtering, and transformation. They then build Matplotlib and Seaborn visualizations, collect web data with BeautifulSoup, CSS selectors, and XPath, and cover SQL basics, object-oriented programming, and descriptive statistics. The course closes with evaluating a K-nearest neighbor classifier using accuracy, precision, recall, F1 score, and support. At about 48.9 hours per learner, this works best as a multi-week enablement path. Training Managers can assign it by role or sprint, with data preparation first, visualization second, then SQL, scraping, and model evaluation as needed. CBT Nuggets Playlists and Team Reporting help Team Leads sequence the rollout and track completion across the team.
