Prepare for data analyst interviews from job postings to technical interviews.

This course is all about learning to use python and jupyter notebooks by exploring fun, real-world data projects.

Get interview-ready with a focused preparation on data manipulation using Pandas, specifically for data analytics roles.

Learn the coding, data science, and math you need to get started as a Machine Learning or AI engineer.

This course is about data engineering using GCP, Python, Kafka, PySpark, and Airflow, covering the entire data lifecycle from ingestion to transformation.

Ruby is powerful language with syntax that is simple, easy to read and similar to English language. This makes it an excellent language for beginners. This course will teach you how to write clean and flexible code in Ruby.

A beginner-friendly course designed to introduce non-programmers to data science concepts and tools.

Learn how to design, develop, and deploy scalable data science models in a production environment.

Prepare for data science interviews by mastering key concepts like machine learning, data analysis, and statistics.

Work on real-world data science projects using Python to enhance your portfolio and skills.

Prepare for the data science interview process, from navigating job postings to passing the technical interview.

Inference Data Scientists run A/B tests, do root-cause analysis, and conduct experiments. They use Python, SQL, and R to analyze data.