Data Bricks

Course Description:

In this DataBricks course, participants will acquire comprehensive knowledge and practical skills in leveraging the DataBricks platform for efficient data analytics and machine learning tasks. The course encompasses key concepts and tools essential for effective data processing and analysis within a collaborative environment.

Modules Covered:

Module 1: Introduction to DataBricks
Module 2: Data Manipulation
Module 3: Transformations
Module 4: Delta Lake
Module 5: End to End Capstone
Module 6: Reader and Writer
Module 7: Final Assessment

Course Objective:

DataBricks Fundamentals: Gain a solid understanding of the fundamental concepts and components of the DataBricks platform.
Collaborative Analytics: Learn to collaborate effectively with peers on data science projects using DataBricks notebooks and collaborative features.
Machine Learning Integration: Explore how to leverage DataBricks for implementing end-to-end machine learning pipelines, from data preparation to model deployment.

What you will learn:

Platform Proficiency: Attain proficiency in navigating and utilizing the various features of the DataBricks platform.
Effective Collaboration: Learn to collaborate with team members efficiently using DataBricks collaborative tools and version control.
Machine Learning Implementation: Acquire the skills to implement machine learning models using DataBricks, from data preprocessing to model deployment.
Optimized Data Pipelines: Understand how to design and optimize data processing pipelines for scalable and efficient data analytics on the DataBricks platform.