Python Development & Data Science: Variables and Data Types

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Welcome to course: Python Development & Data Science: Variables and Data Types

Course provided by MTF Institute of Management, Technology and Finance

MTF is the global educational and research institute with HQ at Lisbon, Portugal, focused on higher & professional hybrid (on-campus and online) education at areas: Business & Administration, Science & Technology, Banking & Finance.

MTF R&D center focused on research activities at areas: Artificial Intelligence, Machine Learning, Data Science, Big Data, WEB3, Blockchain, Cryptocurrency & Digital Assets, Metaverses, Digital Transformation, Fintech, Electronic Commerce, Internet of Things.

MTF is the official partner of: IBM, Intel, Microsoft, member of the Portuguese Chamber of Commerce and Industry, and resident of the incubator “The Fintech House of Portugal”.

MTF is present in 204 countries and has been chosen by more than 220,000 students.

Course Author:

Stanisław Marek Halkiewicz

I am a seasoned educator specializing in the domains of econometrics, statistics, statistical programming, and mathematics, boasting an extensive track record exceeding three years. Notably, I have imparted my expertise to students hailing from prestigious global universities, solidifying my standing as a sought-after tutor. I have made significant contributions in research endeavors spanning statistics, econometrics, and statistical programming. Furthermore, my professional trajectory encompasses a diverse spectrum, ranging from project management to business intelligence and Data Science.

Course Description:

Course designed to introduce individuals to the world of Python programming. Python has gained immense popularity in recent years for its simplicity, versatility, and readability. This course is ideal for beginners who are new to programming.

Importance For Companies:

Versatility: Python is versatile and can be used for a wide range of applications, from web development and data analysis to artificial intelligence and automation. Companies can benefit from having Python developers who can adapt to various projects.

Productivity: Python’s clean and readable syntax allows developers to write code more quickly and efficiently. This results in faster project development and reduced costs for companies.

Large Ecosystem: Python has a vast ecosystem of libraries and frameworks, making it easier for companies to find solutions to their specific needs. This reduces the need for reinventing the wheel.

Data Analysis and AI: Python is a go-to language for data analysis and machine learning. Companies can leverage Python to extract valuable insights from data and build AI-driven applications.

Community and Support: Python has a strong and active community of developers. Companies can tap into this community for support, resources, and talent recruitment.

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