IBM
4 months at 10 hours per week
Prepare for a career as a data scientist. Build job-ready skills – and must-have AI skills – for an in-demand career. Earn a credential from IBM. No prior experience required.
This Professional Certificate is open to everyone with any work and academic background. No prior computer programming experience is necessary, however, it may be helpful to be familiar with computers and high school math. For the last few courses, knowledge of calculus and linear algebra is an asset but not an absolute requirement.
You'll learn in-demand skills used by professional data scientists including databases, data visualization, statistical analysis, predictive modeling, machine learning algorithms, and data mining. You'll also work with the latest languages, tools,and libraries including Python, SQL, Jupyter notebooks, Github, Rstudio, Pandas, Numpy, ScikitLearn, Matplotlib, and more.
As a market-leading tech innovator, IBM is committed to helping you thrive in this dynamic landscape. Through IBM Skills Network, their expertly designed training programs in AI, software development, cybersecurity, data science, business management, and more, provide the essential skills you need to secure your first job, advance your career, or drive business success.
An understanding of data science and the ability to make data driven decisions is useful in any career, but some careers specifically require a data science background. Some examples of careers in data science include: Business Intelligence Analyst, Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Marketing Analyst, Operations Analyst, Quantitative Analyst.
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