Course
Learn to build cloud-based applications on Microsoft Azure, the cloud services platform used by 95% of Fortune 500 companies.
This course will teach you the skills to deploy software with confidence, agility, and high reliability using modern practices such as Continuous Integration (CI) and Continuous Delivery (CD).
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In Coursera’s Digital Marketing Specialization, you will master strategic marketing concepts and tools to address brand communication in a digital world.
Linux is the #1 operating system for web servers, cloud computing, smartphones, and consumer electronics. Due to its high adoption rates and continued growth, there’s a shortage of Linux system administrators. This course will teach you the skills and processes you need to work as a professional Linux systems administrator.
In this Coursera Specialization, learners develop advanced Excel Skills for Business. Upon completing the four courses in this Specialization, learners can design sophisticated spreadsheets, including professional dashboards, and perform complex calculations using advanced Excel features and techniques.
The IT Support Professional Certificate, developed by Google and hosted on Coursera, can help you become ready for an entry-level job in IT support in eight to 12 months. No experience is necessary.
- Use Mel Robbins’ five-second rule to stop negative thoughts and change your life for the better.
- De-escalate anxiety and agitation.
- Create mental scripts that help you overcome typical situations that get you into trouble and prevent you from acting.
- Overcome your mental blocks and change the way you think about things.
Kickstart your Career in Data Science & ML. Master data science, learn Python & SQL, analyze & visualize data, build machine learning models.
The ability to analyze data is a powerful skill that helps you make better decisions. Microsoft Excel is one of the top tools for data analysis and the built-in pivot tables are arguably the most popular analytic tool.
This course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library.
Learn how to develop open-source software. This course focuses on open source software, an introduction to Linux systems, and the use of Git, the revision control system.
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Master the basics of data analysis in Python. Expand your skillset by learning scientific computing with NumPy.
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