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IBM

Data Science

IBM via GetSmarter

Overview

Develop an end-to-end understanding of data science from foundational methodologies to applied machine learning. Advance in your current role, or pivot to a new career in data science.

On completion of this IBM data science short course, you will have: Explored how to apply advanced data science methodologies and tools. Investigated the programming languages commonly used in data science, including SQL and Python. Applied critical thinking and problem solving skills to analyze complex datasets and derive actionable insights. Created and deployed machine learning models for practical applications. Executed comprehensive data science projects from start to finish.

Syllabus

  • Orientation module: Welcome to your Online Campus
  • Module 1: Data Science Methodologies
  • Module 2: Using Python for Data Science
  • Module 3: Python Fundamentals and Data
  • Module 4: SQL for Data Science
  • Module 5: Using Python to Analyze Data
  • Module 6: Data Visualization Using Python
  • Module 7: Introduction to Machine Learning with Python
  • Module 8: Supervised and Unsupervised Machine Learning Models
  • Module 9: Capstone Project 1: Data Collecting, Wrangling, and Analysis
  • Module 10: Capstone Project 2: Presenting Data-Driven Insights

Taught by

IBM Data Science

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