Introduction to Fundamental Skills for Data Work: Data Collection

Develop the foundational skills needed to gather, ingest, and acquire data from diverse sources. Explore essential data collection concepts, Python-based ingestion techniques, and cloud-native data services that form the backbone of any data pipeline. This learning path helps data professionals to understand how data enters systems and how to build reliable, scalable collection processes that ensure data quality and accessibility.

Gather data effectively from diverse sources.
Understand methods for ensuring data quality and compliance.
Capture valuable data that informs business insights.

Syllabus

Courses under this program:
Course 1: Strategic Data Collection, Modeling, and Quality Management for AI Systems
-Learn about essential strategies for designing high-quality data collection, modeling, and quality management practices that support accurate, unbiased, and effective AI systems.

Course 2: Data Ingestion with Python
-Learn how to use Python tools and techniques to solve one of the main challenges data scientists face: getting good data to train their algorithms.

Course 3: Data Cleaning and Manipulating with Python in Excel
-Learn how to leverage both your understanding of Excel and the analytical power of Python.

Course 4: Complete Guide to Python for Data Engineering: From Beginner to Advanced
-Practice fundamental skills using Python for data engineering in this hands-on, interactive course with coding challenges in CoderPad.