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Learn Data Cleansing, earn certificates with paid and free online courses from HKUST, Moscow Institute of Physics and Technology, Emory University and other top universities around the world. Read reviews to decide if a class is right for you.
MDG Data Excellence: Cleansing, Quality, Duplication, with SAP Examples
Explore the consequences of dirty data and learn practical techniques for ensuring data accuracy and maintenance in this insightful talk by Susan Walsh.
Discover AI-powered tools for cleansing datasets, enhancing model training accuracy. Explore Cleanlab's innovative approach to data-centric AI and its practical applications.
Explore Excel Power Query for advanced data transformation and cleansing to boost your decision-making and analysis.
Supercharge your Excel skills with Excel Power Tools: Master Power Query, Power Pivot, and the dynamic M Language.
Enter the world of Alteryx Designer and learn how to navigate the tool to load, prepare, and aggregate data.
Learn the fundamental techniques for data analytics and to be prepared for learning and applying more advanced big data technologies.
Learn to connect, model, and shape data using Power BI Desktop Software.
Learn essential Excel functions for business problem-solving, including formulas, data cleansing, pivot tables, and advanced techniques through guided demonstrations and practical exercises.
Learn a systematic approach to problem-solving used by management consultants. Master techniques for defining problems, structuring frameworks, developing hypotheses, and leveraging data to create impactful solutions.
The Complete and Comprehensive Course on Power BI : step by step with hands on demos with Power BI
Quickly and effectively learn to load, transfor, cleanse and prepare data for Microsoft Excel using Power Query
Learn Google Cloud Professional Data Engineer Certification with 80+ Hands-on demo on storage, Database, ML GCP Services
Learn how to import, transform, cleanse and manipulate data using the Query Editor in Microsoft Power BI
Learn Data Quality Management from A to Z. This complete guide covers all Data Quality Principles, Techniques and more
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