Learn Data Cleaning
2 expert-rated courses covering Data Cleaning. Compared by rating, price, difficulty, and job relevance so you can pick the right one.
This catalog covers Data Cleaning training across 1 platform including Coursera. 2 courses include a certificate.
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Top Data Cleaning Courses
Google Data Analysis with Python
In today's data-driven world, Python is an essential tool for unlocking insights. This Specialization will guide you from a Python beginner to someone who can confidently apply Python to solve complex data problems. You'll gain hands-on experience with core Python syntax, data structures, and essential libraries like NumPy and pandas. Google experts will guide you through this Specialization by providing hands-on activities that simulate relevant tasks, sharing examples from their day-to-day work, and helping you enhance your data analytics skills to prepare for your career. You will learn to: Frame analysis problems using structured thinking and SMART questions Write efficient Python code in Jupyter Notebooks, mastering variables, functions, and data structures Manipulate and analyze datasets with pandas and NumPy, learning to filter, group, and aggregate data Clean and prepare real-world data, handling missing values and validating data quality Summarize and interpret data using descriptive statistics to support business decisions By the time you're finished, you'll be able to confidently apply Python to solve complex data problems and communicate your findings to stakeholders.
AI for Data Analysis
Are the answers you need buried in a dataset you can't decipher? In this course, you’ll learn to use AI as your analytical partner to transform unstructured data into clear, actionable insights. You’ll use Gemini to identify the right success metrics for any project and practice converting messy, raw data into structured tables. You'll use everyday language to generate powerful spreadsheet formulas and create compelling charts in Google Sheets—empowering you to make smarter, data-driven decisions. By the end of this course, you will create: • Success metrics you can stand by: Use Gemini to define exactly what to measure for your project so you can present your results with confidence. • A structured dataset: Clean and organize messy information into a structured Google Sheets table that is ready for immediate analysis. • Data visualizations and formulas: Use natural language to generate spreadsheet functions and create charts that visualize your findings to drive evidence-based decisions. • Business performance simulator: Use Gemini Canvas to transform static data into an interactive tool, so you can "test-drive" changes and visualize their ripple effects in real time.