Databricks

Data Analytics & Machine Learning

At STARNaz Fintech Academy, our Databricks training in Data Analytics & Machine Learning is designed to equip learners with the skills to process, analyze, and build ML solutions on a unified data platform using Databricks.

This service covers end-to-end data analytics and machine learning workflows, including data ingestion, transformation, large-scale analytics, feature engineering, model training, and deployment using the Databricks Lakehouse architecture. Learners gain hands-on experience working with big data and distributed computing powered by Apache Spark, enabling them to build scalable and high-performance data solutions.

Through real-time labs and industry-focused projects, students gain job-ready expertise for roles such as Data Analyst, Data Engineer, and Machine Learning Engineer.

WHY CHOOSE STARNaz Fintech Academy?

✔ Industry-Oriented Curriculum
Designed to meet real-world data analytics and machine learning requirements.

✔ Hands-On Labs & Projects
Practical exposure through live Databricks environments and real-time datasets.

✔ Certification on Completion
Recognized certification validating Databricks, analytics, and ML skills.

✔ Interview Preparation & Job Assistance
Resume preparation, mock interviews, and career guidance to support placements.