This final course in the Google Cloud Computing Foundations Professional Certificate reviews managed big data services, machine learning and its value, and how to demonstrate your skill set in Google Cloud.

This course is intended for developers who are responsible for: Querying datasets, visualizing query results, and creating reports. Specific job roles include: Data Engineer, Data Analyst, Database Administrators, Big Data Architects.

Use Microsoft Purview to register and scan data, catalog data artifacts, find data for reporting, and manage Power BI artifacts to improve data governance in your organization.

This course is specially designed for engineering and product managers developing AI-based products to quickly grasp basic concepts of AI.

This data science course for beginners teaches everything you need to know about data science and contains common data science interview questions.

The course will help you ace the machine learning interview question patterns, ensuring a smooth and enjoyable interview experience.

This course will get you grokking system design and ace the advanced system design interview in no time!

Write log queries to find answers to operational and business questions. Use Kusto Query Language (KQL) to extract insights from logs in Azure Monitor.

Master Data Science Funadamentals in a Practical Approach

Diagnose, visualize and treat missing data with a range of imputation techniques with tips to improve your results.

Gain practical experience in machine learning using Scikit-Learn, focusing on building and evaluating various models.

In the course Quantum Machine Learning, you will acquire the exact knowledge to solve practical examples with lots of code.