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Coursera
Explore foundational principles and standards of data privacy and protection, along with international regulations and security compliance basics.

SkillUp
Understand the importance of data privacy, types of private data, key laws and regulations, and how to maintain data confidentiality effectively.

Microsoft
Learn essential skills to prepare and manage data effectively with Microsoft Power BI, including connecting, cleaning, and transforming data from various sources.

Microsoft
Learn to use Microsoft Copilot for data quality assessment, synthetic dataset generation, and automating data cleaning tasks.

Gain practical skills in preparing and analyzing data using spreadsheets and SQL, focusing on organizing and securing data effectively.

Corporate Finance Institute
Learn to import, clean, analyze, and transform data using feature engineering techniques in Python to enhance machine learning models.

Coursera
Learn to build comprehensive data pipelines transforming raw event data into actionable insights using SQL and Pandas with efficient star schema designs.

DeepLearning.AI
Create and manage efficient data pipelines with TensorFlow Data Services for effective machine learning model training.

University of Illinois Urbana-Champaign
Learn key concepts and methods in data mining, focusing on pattern discovery and its applications in large-scale data analysis.

University of Geneva
Learn to write efficient, maintainable C++ code for data-intensive applications including scientific simulations and statistical data processing.

DeepLearning.AI
Model, transform, and serve data for analytics and machine learning using various techniques and tools to design efficient data pipelines.

Microsoft
Learn to create and manage multi-schema data models in Power BI using DAX for calculations and optimizing model performance.

Microsoft
Learn to utilize Excel for business data analysis by applying formulas and functions to prepare and analyze data efficiently.

Coursera
Design and implement enterprise-grade data models from star schemas to lakehouse architectures, building scalable and cost-effective data solutions for business analytics.

Microsoft
Acquire foundational skills to create and manage data models in Microsoft Power BI, exploring data relationships, DAX expressions, and essential privacy and security practices.

Northeastern University
Explore both theoretical concepts and practical applications of data mining in engineering, covering essential techniques, algorithms, and case studies across various industries.

Coursera
Comprehensive guide to building data pipelines, mastering ETL processes, and handling big data with the Hadoop framework.

University of Illinois Urbana-Champaign
Apply data mining algorithms and techniques learned in prior courses to real-world datasets during a six-week project focused on solving practical challenges.

University of Colorado Boulder
Introduces key steps in the data mining pipeline from understanding to evaluation, with real-world application examples.

University of Colorado Boulder
Covers core data mining techniques including pattern analysis, classification, clustering, and anomaly detection, with applications in complex data domains.

University of Michigan
Learn fundamental data mining concepts and techniques to extract useful knowledge from large datasets using Python, focusing on data representations and pattern analysis.

Edureka
Gain practical expertise in designing and implementing decentralized, domain-driven data systems using Data Mesh principles to enhance data ownership and governance.

UiPath
Learn about variables, arguments, and data manipulation techniques essential for Robotic Process Automation projects.

Microsoft
Learn data manipulation techniques in SQL Server using INSERT, UPDATE, and DELETE commands while maintaining data integrity through proper transaction management.