Advanced Trainings

This page is dedicated to advanced training for professionals looking to deepen their expertise in data science, machine learning, and database programming. The courses here provide specialized knowledge and practical experience in the latest tools and techniques used in the field.

• Database Programming with TSQL:
  The TSQL (Transact-SQL) Database Programming training aims to teach database programming using TSQL, the core language of SQL Server. While SQL is the universal language for databases, major database systems have developed their own languages. SQL can only be used for querying databases, whereas with TSQL, almost everything that can be done in a programming language can also be performed within SQL Server. It is an essential concept that everyone who wishes to pursue a career in data at any point should be familiar with.
• PL/SQL, Oracle Database Programming:
  The course will cover database concepts starting from installation and configuration, including structures such as Collections, Records, Arrays, Loops, Functions, Procedures, Packages, and Triggers. The PL/SQL language will be explained step by step, from basic operations to complex processes. All exercises will be conducted on a Human Resources (HR) data model project, providing practical experience in real-world scenarios.
• Introduction to Deep Learning with Keras:
  This course is designed from the ground up to cover the fundamentals of deep learning. It is an applied training that addresses mathematical and theoretical knowledge in a practical manner. Using the Python programming language and the Keras deep learning library, the course also benefits from the ease of implementing applications in the cloud. By the end of the course, participants will be able to apply the fundamentals of computer vision, sequence models, and generative models. Additionally, the course covers the nuances necessary for improving deep learning models. In the final section, the limitations, future potential, and societal impact of deep learning are also discussed.
• Data Science and Machine Learning Bootcamp with R:
  A hands-on bootcamp that teaches advanced data science techniques using R. The course focuses on machine learning, working with complex datasets, and building models.
• Big Data Fundamentals with PySpark:
  This course covers the fundamentals of Big Data via PySpark. Spark is a “lightning fast cluster computing” framework for Big Data. In this course you’ll use PySpark, a Python package for Spark programming and its powerful, higher-level libraries such as SparkSQL, MLlib (for machine learning), etc.