Virtual Training
Data Science, AI, and Advanced Analytics
Big Data Analytics Online Course
Join our virtual, live instructor-led session and master Big Data Analytics Training from anywhere in the world.
10 Days
Duration
Live Online
Delivery
12 Dates
Available
Certificate
Included
Master Big Data Analytics training to build scalable pipelines, sharper insights, and decision-ready reporting through Spark, Hadoop, and Python.
Upcoming Virtual Training Schedules
Join from anywhere in the world with our live instructor-led sessions
| Code | Start Date | End Date | Duration | Fee | |
|---|---|---|---|---|---|
| BDA-01 | Mon - Fri (10 Days) | USD 1,900 | Reserve my seat → Register my team → | ||
| BDA-01 | Mon - Fri (10 Days) | USD 1,900 | Reserve my seat → Register my team → | ||
| BDA-01 | Mon - Fri (10 Days) | USD 1,900 | Reserve my seat → Register my team → | ||
| BDA-01 | Mon - Fri (10 Days) | USD 1,900 | Reserve my seat → Register my team → | ||
| BDA-01 | Mon - Fri (10 Days) | USD 1,900 | Reserve my seat → Register my team → | ||
| BDA-01 | Mon - Fri (10 Days) | USD 1,900 | Reserve my seat → Register my team → |
Here's What You'll Learn
Each module tackles real challenges you face in your role
1
Big Data Analytics foundations
2
Data profiling with SQL
3
PySpark transformation design
4
ETL and ELT pipelines
5
Distributed storage and compute
6
Cloud analytics execution
7
Machine learning at scale
8
Streaming and near-real-time analytics
9
Governance and data lineage
10
Insight reporting and delivery
Built for Kuwait
From your market
Real tools and case studies from Kuwait — taught against the configurations and outcomes you'll actually encounter.
Industry Tools and Platforms Featured in this Training
5-
Apache Spark Apache Software FoundationUsed for distributed data processing, large-scale ETL, and batch or streaming analytics when datasets are too large for single-machine workflows.
-
Hadoop Apache Software FoundationUsed for storing and processing large datasets across clusters, especially where teams need fault-tolerant handling of structured and semi-structured data.
-
PySpark Apache Software FoundationUsed by analysts and engineers who want to build Spark pipelines in Python while keeping work close to existing Python-based analytics skills.
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Apache Hive Apache Software FoundationUsed to query large datasets with SQL-like syntax in big data environments, making it easier for BI and analytics users to access distributed data.
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Power BI MicrosoftUsed to turn processed datasets into dashboards and KPI reporting that business teams can review without needing direct access to raw data.
Where this course runs
Big Data Analytics Training is delivered in the cities below — pick the one that fits your schedule.
