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Data Processing, Exploratory Analysis and Visualization

By Coursera on Coursera · Design
Price
Free

About This Course

This course introduces distributed computing frameworks and big data visualization techniques. Learners will explore MapReduce, work with Apache Spark, implement transformations with PySpark, and use Spark SQL for large-scale analysis. The course concludes with building compelling dashboards and reports using Power BI for actionable business insights. By the end of this course, you will be able to: - Explain distributed computing and MapReduce concepts - Process large datasets using Apache Spark and PySpark - Apply Spark SQL for advanced queries and transformations - Create dashboards and visualizations using Power BI Tools & Software: Apache Spark, PySpark, Azure Databricks, Power BI Skills: Distributed computing, Data analysis, PySpark, Spark SQL, Data visualization

Instructor

Data Processing

Frequently Asked Questions

How much does Data Processing, Exploratory Analysis and Visualization cost?
Visit the Data Processing, Exploratory Analysis and Visualization course page for current pricing and available discounts.
Who teaches Data Processing, Exploratory Analysis and Visualization?
Data Processing, Exploratory Analysis and Visualization is taught by Microsoft, Microsoft.
What skill level is Data Processing, Exploratory Analysis and Visualization for?
This course is designed for advanced learners.