Data Science Courses

Training Course on Cloud Data Platforms for Data Scientists (Unified Course) is meticulously designed to bridge the gap between theoretical knowledge and practical application, focusing on real-world case studies and hands-on labs

Training Course on Advanced Data Visualization with Tableau/Power BI is meticulously designed to empower professionals with the cutting-edge skills needed to transform complex datasets into compelling, interactive, and insightful dashboards

Training Course on Data Storytelling for Business Impact delves into the art and science of data storytelling, moving beyond static reports and dry presentations.

Training Course on ETL/ELT Pipelines with Modern Data Stacks provides participants with the hands-on skills and strategic understanding necessary to design, build, and manage robust data pipelines using modern data stacks, ensuring data quality, scalability, and efficiency.

Training Course on Topic Modeling & Document Clustering focuses on equipping professionals with the essential skills to analyze unstructured data, extract insights, and organize information at scale.

Training Course on Apache Spark for Advanced Data Processing offers an in-depth exploration of Apache Spark, the leading unified analytics engine for large-scale data processing.

Training Course on Real-time Data Analytics and Stream Processing (Kafka & Flink/Spark Streaming) empowers professionals to master the cutting-edge technologies that power live data pipelines. We delve into the intricacies of Apache Kafka for robust data ingestion and messaging, and then explore Apache Flink and Apache Spark Streaming for sophisticated, scalable stream processing. Participants will gain hands-on expertise in building fault-tolerant, high-throughput architectures crucial for modern enterprises seeking to capitalize on instantaneous data intelligence and drive real-time decision-making.

Training Course on Data Warehousing and Data Lake Architecture for Analytics provides an in-depth exploration of the fundamental principles and best practices for designing, implementing, and managing these critical data platforms.

Training Course on Transformer Architectures in NLP (Advanced) is designed to empower data scientists, machine learning engineers, and AI developers to harness the full potential of Transformer models.

Training Course on Advanced Natural Language Processing (NLP) provides a comprehensive deep dive into the cutting-edge of Natural Language Processing (NLP), equipping participants with the theoretical foundations and practical skills to tackle complex language-related challenges.

Training Course on Transformer Models for Computer Vision is meticulously designed to bridge the gap between theoretical understanding and real-world implementation, offering a comprehensive exploration of ViT architectures, training methodologies, and optimization techniques.

Training Course on 3D Computer Vision & Point Cloud Processing focuses on practical applications and hands-on experience, bridging the gap between theoretical concepts and real-world challenges in 3D perception