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Verified Information • Last Updated Mar 2026
Data Processing, Exploratory Analysis and Visualization
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
Duration
8 Months
Institution
Microsoft
Format
Online
Eligibility Criteria
school
Academic Foundation
A recognized Bachelor’s degree or high school equivalent required for admission into Microsoft.
language
Language Proficiency
English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.
Detailed Fees Breakdown
Base Tuition Fee
$71
Total Est. Investment
$71
Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.
Academic Trajectory
Program Outcome
Graduates of the Data Processing, Exploratory Analysis and Visualization program at Microsoft are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.