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IBM Training
This intermediate level certification is intended for business analysts who discover, analyze, and design complex processes within cross-functional areas. These analysts lead and facilitate process improvement projects and communicate business needs for process-oriented solutions. These business analysts are generally self-sufficient and able to perform most of the tasks involved in the role with limited assistance from peers, product documentation, and vendor support services.
This course gives you the background needed to gain Cybersecurity skills as part of the IBM Cybersecurity Professional Certificate programs. You will explore incident response methodologies and security models. You will learn to recognize and categorize key types of vulnerabilities and associated attacks against today's organizations.
Advance your career with in-demand skills. Receive professional-level training from IBM. Demonstrate your technical proficiency. Earn an employer-recognized certificate from IBM. $135,000 +. median U.S. salary for DevOps engineering ¹. 49,000 +. U.S. job openings in DevOps engineering ¹.
The badge earner is ready for a career in data science with demonstrated ability to solve for real-world problems. They can apply Data Science methodology - work with Jupyter notebooks - create Python apps - access relational databases using SQL & Python - use Python libraries to generate data visualizations - perform data analysis using Pandas - construct & evaluate Machine Learning (ML) models using Scikit-learn & SciPy and apply data science & ML techniques to real location data sets.
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
There are 6 modules in this course. Analyzing data with Python is an essential skill for Data Scientists and Data Analysts. This course will take you from the basics of data analysis with Python to building and evaluating data models. Topics covered include: - collecting and importing data - cleaning, preparing & formatting data - data frame ...
