edX
edXIBM Data Science
17k studentsBEGINNEREnglish
Korshub's take
Data science requires fluency across the full pipeline: Python programming to clean and prepare data; SQL to extract it from databases; statistical analysis and visualization to reveal patterns; and machine learning to predict and classify. This course sequences these skills as employers expect them, grounding each in real tools—Pandas, Numpy, Scikit-learn, Jupyter Notebooks, IBM watsonx—so you graduate with a portfolio of work and an IBM-backed credential. The result: job-ready skills that employers recognize and a foundation for a data-driven career.
About this course
Job-ready data science skills employers look for, supported by hands-on experience and an IBM Professional Certificate you can show on your resume. ,Python programming for data science and data manipulation using libraries like Pandas and Numpy to clean and prepare data. ,Data analysis and visualization techniques using Matplotlib and Seaborn; crucial skills for presenting insights to stakeholders. ,How to write SQL queries to manage and extract data from relational databases; key for database management. ,Machine learning fundamentals, including how to build machine learning models with Scikit-learn. ,How to use popular data science tools such as Jupyter Notebooks, IBM watsonx, GitHub, and APIs.
Price
$970
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