Data Preparation and Management

Issued by SUNY Geneseo

This module provides participants with the expertise needed to handle complex data challenges. It delves deep into the intricacies of gathering, processing, refining, and analyzing vast datasets, all illustrated through real-world case studies.

Type Learning
Level Foundational
Time Weeks
Cost Paid

Additional Details

Skills

Data Analysis
Data Analytics
Data Management
Data Preparation
Decision Making
Strategic Decision-Making
Workflow Management

Earning Criteria

Key areas of focus include (1) Techniques for efficient data loading, transformation, merging, and reshaping; (2) Advanced strategies for filtering and summarizing datasets to extract meaningful patterns; (3) Hands-on challenges that allow participants to apply what they learn to genuine data analysis scenarios; (4) In-depth instruction in Python or R programming languages, equipping participants with proficiency in the industry’s and public sector’s leading data analysis tools.