Navigate and analyze complex datasets in MATLAB, acquiring data management, cleaning, and analytical skills that are crucial for extracting insights from data.

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.

Integrations are an important component of implementing finance and operations apps. By implementing recurring integrations, you can enable the exchange of documents or files between finance and operations apps and other applications or services.

Learn to code in Python and analyze data using the pandas dataframe! Complete with practical projects. Learn to code.

A complete guide to start learning data science from ground up

Learn to implement data science concepts using R programming language

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.