Python Dev & Data Science: Variables and Data Types

Python Dev & Data Science: Variables and Data Types

COURSE AUTHOR –
MTF Institute of Management, Technology and Finance

Last Updated on February 1, 2024 by GeeksGod

Course : Python Development & Data Science: Variables and Data Types

Python Development & Data Science: Variables and Data Types

Welcome to the course: Python Development & Data Science: Variables and Data Types. This module is part of the program “Professional Diploma in Python Development.” You have the option to join this course separately or enroll in the full program.

Course provided by MTF Institute of Management, Technology and Finance

MTF is a global educational and research institute based in Lisbon, Portugal. We specialize in higher and professional hybrid (on-campus and online) education in various fields including Business & Administration, Science & Technology, and Banking & Finance.

At MTF, our research and development center focuses on cutting-edge areas such as Artificial Intelligence, Machine Learning, Data Science, Big Data, WEB3, Blockchain, Cryptocurrency & Digital Assets, Metaverses, Digital Transformation, Fintech, Electronic Commerce, and Internet of Things.

We are proud to be official partners of IBM, Intel, Microsoft, and members of the Portuguese Chamber of Commerce and Industry. We are also residents of the incubator “The Fintech House of Portugal.” With a presence in 204 countries, we have been chosen by over 220,000 students worldwide.

Course Author: Stanisław Marek Halkiewicz

I am a seasoned educator specializing in the domains of econometrics, statistics, statistical programming, and mathematics. With over three years of experience, I have taught students from prestigious global universities and established myself as a sought-after tutor.

I have also made significant contributions in research, particularly in the fields of statistics, econometrics, and statistical programming. My professional trajectory includes project management, business intelligence, and Data Science.

Course Description:

This course is designed to introduce individuals to the world of Python programming. Python has gained immense popularity in recent years due to its simplicity, versatility, and readability. It is an ideal programming language for beginners.

Importance For Companies:

Python’s versatility makes it suitable for a wide range of applications, including web development, data analysis, artificial intelligence, and automation. Hiring Python developers allows companies to adapt to various projects.

The clean and readable syntax of Python enhances productivity, enabling developers to write code more quickly and efficiently. This results in faster project development and reduced costs for companies.

Python has a vast ecosystem of libraries and frameworks, providing companies with readily available solutions for their specific needs. This eliminates the need for reinventing the wheel and streamlines development processes.

Data analysis and AI are prominent fields where Python excels. Companies can leverage Python to extract valuable insights from data and build AI-driven applications to make informed business decisions.

Python enjoys a strong and active developer community, which provides continuous support, resources, and talent recruitment opportunities for companies.

Importance For Developers:

Learning Python opens up a wide range of career opportunities in diverse industries. Python developers are in high demand, and their skills are transferable to different domains.

Python developers can work in various roles such as web developer, data analyst, data scientist, machine learning engineer, and more. This diversity of roles allows developers to explore different areas of interest and expand their skill set.

Python’s straightforward syntax makes it easy to learn for beginners and accessible for experienced developers looking to add another language to their repertoire. It is an ideal choice for individuals new to programming.

Python is a continuously evolving language with new libraries and frameworks being developed regularly. Developers who invest in Python education can keep up with the latest trends and grow their skill set over time.

Python development often offers remote work opportunities, providing developers with flexibility in their careers and the ability to work from anywhere.

This course provides a solid foundation for individuals looking to start a career in programming or expand their existing skill set. Python’s significance in the tech industry, versatility, and high demand in the job market make it a valuable asset for both companies and developers aiming to excel in today’s technology-driven world.

Free Udemy Coupon, Python Dev & Data Science

Free Udemy Coupon, Python Dev & Data Science

Free Udemy Coupon, Python Dev & Data Science

Free Udemy Coupon, Python Dev & Data Science

Free Udemy Coupon, Python Dev & Data Science

Join the “Python Development & Data Science” course now!

Start your journey into the fascinating world of Python programming and data science. Get hands-on experience with variables and data types while learning from industry experts. Enroll now at MTF Institute of Management, Technology and Finance!

Python Development & Data Science: Variables and Data Types – Course Outline
  • Introduction to Python programming
  • Variables and their importance
  • Data types in Python
  • String manipulation
  • Lists, tuples, and dictionaries
  • Control flow and conditional statements
  • Loops and iterations
  • Functions and modules
  • Error handling and exceptions
  • File input/output
  • Introduction to data science
  • Exploratory data analysis
  • Data visualization
  • Machine learning basics
  • Building predictive models
Enroll in the “Python Development & Data Science” course today!

Don’t miss out on the opportunity to gain valuable skills in Python programming and data science. Join the course now at MTF Institute of Management, Technology and Finance.

Udemy Coupon :

33F524625F1B0D61091F

What you will learn :

1. Python Development
2. Variables and Data Types
3. An overview of different data types
4. Numeric Data Types
5. Boolean Data
6. input() function
7. String as a data type
8. Constants

100% off Coupon

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