Data Analyst: Data Cleaning and Visualization

Course overview

This course provides Data Analysts with the necessary techniques for data cleaning and visualization to gain informed insights. Core techniques for data cleaning for aspiring Data Analysts Detection and management of missing values and duplicates using pandas Standardization and formatting of datasets, including dates and column mappings Application of consistent cleaning steps using structured workflows and boolean masking Visualization strategies to enhance insight generation Creation of visualizations such as histograms, scatter plots, bar charts, and box plots using matplotlib and pandas Selection of appropriate chart types based on data types and analysis goals Visualization of patterns and trends to support the interpretation and exploration of data Professional toolkit for the modern Data Analyst Integration of data cleaning and visualization as part of a complete analysis process Practical exercises with real datasets, including project work on tax data and churn analysis Clear communication of insights through charts and organized workflows

Upcoming dates

• 2026-09-06T22:00:00.000Z · 2026-11-28T23:00:00.000Z · Berlin · Hybrid Learning
• 2026-09-06T22:00:00.000Z · 2026-11-28T23:00:00.000Z · München · Hybrid Learning
• 2026-09-06T22:00:00.000Z · 2026-11-28T23:00:00.000Z · Düsseldorf · Hybrid Learning
• 2026-09-06T22:00:00.000Z · 2026-11-28T23:00:00.000Z · Frankfurt am Main · Hybrid Learning
• 2026-09-06T22:00:00.000Z · 2026-11-28T23:00:00.000Z · Stuttgart · Hybrid Learning

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