March 2022
Beginner to intermediate
54h 34m
English
Closed Captioning available in English
Overview
In this 54-hour course, learners will gain comprehensive skills in handling big data using cutting-edge tools and frameworks. The curriculum spans Python-based data scraping, mastering Big Data and Spark with Scala, utilizing PySpark alongside AWS services, and developing with MongoDB in real-world applications.
What I will be able to do after this course
- Build ETL pipelines using Spark integrated with AWS services.
- Implement data scraping techniques for structured data collection.
- Understand and work with Spark RDDs, DataFrames, and the Spark ecosystem.
- Learn to use MongoDB for NoSQL database-based applications.
- Develop practical projects combining Python, Scala, and big data solutions.
Course Instructor(s)
AI Sciences is a highly respected educator in the field of computer science and machine learning. With extensive expertise in teaching programming and data science topics, their pedagogy focuses on practicality and relevance for real-world applications. Known for clear explanations and engaging projects, AI Sciences equips students with the skills necessary to excel in the fast-evolving tech industry.
Who is it for?
This course is ideal for individuals starting in big data technologies or professionals seeking to broaden their expertise. Particularly, aspiring data scientists, machine learning practitioners, and analysts will benefit. A basic knowledge of programming and Python is recommended to succeed in the course. This curriculum is designed for those aiming to apply big data skills to practical challenges.
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