Data Science Fundamentals, Part 1
About this course
Designed for aspiring data scientists, engineers, and researchers, this hands-on program guides you through the entire data science process—from acquiring and transforming real-world data to building, validating, and deploying machine learning models. Through engaging, example-driven lessons and practical exercises using Python and its robust ecosystem of libraries, you'll gain the essential skills to analyze complex datasets, extract actionable insights, and create impactful data-driven applications—no advanced math or statistics background required.
Price shown by Coursera — confirm on their site.
Enroll on CourseraYou'll be redirected to Coursera to complete enrollment.
- Listed & compared by CourseAsk
- English · All Levels
More courses like this
Tests pratiques pour la certification Microsoft Azure AI-900
Udemy · Certificate
Coursera
Autonomous AI Agent Systems and Orchestration
Coursera · MOOC / Non-credit
SAP-Starter Pack-Certification-Low-Code/No-LC/NC_C_LCNC_2406
Udemy · Certificate
Coursera
Hands-on Foundations for Data Science and Machine Learning with Google Cloud Labs
Coursera · MOOC / Non-credit
More courses from Coursera
Coursera
TCP/IP and Internet
Birla Institute of Technology & Science, Pilani · MOOC / Non-credit
Coursera
Agile Project Management
University of Colorado Boulder · Master's Degree
Coursera
Conservation and Sustainable Development
University of Michigan · MOOC / Non-credit
Coursera
Extra-Galactic Astronomy
University of Cambridge · MOOC / Non-credit