Description

Within Data Engineering, coding and programming play a major role. Whether for the communication with interfaces or databases or for the transformation and validation of data - they are needed skills for the job of the Data Engineer.

Essential for programming and coding are programming languages. In the programming world, there are many languages to choose from. For example Java, which was used a lot in the past, especially within Software Engineering. But one language that is gaining a lot of popularity over the years - and rightly so - is Python.



Why Python?

Especially for Data Processing, it is the dominant programming language today. This is because Engineering is very closely connected to Data Science as many scientists also do engineering at the beginning of their projects. 

In general, Python is easier to learn than Java and is therefore often learned as the first programming language. In this training, Amit Jain is going to teach you the basics of Python to get you started within coding.



What you will learn

Amit will give you a brief introduction to Python, what Python is exactly and how you can use it as a simple calculator by using math expressions. He will also explain what strings are and why they are useful. Furthermore, learn about the concept of variables, logic or boolean expressions, and loops for repeated calculations. Get to know the functions for using a piece of code repeatedly, learn what lists are, and how you can use dictionaries and modules. Also learn how to code Python and use your code to work with JSON or CSV files. 



What's included?

  • Training Videos
  • Source Codes
  • Web Links
  • PDF Presentation
  • Recommendations
  • Certificate of Graduation for successful completion of the course


About the Author

Amit Jain


Amit is a Machine Learning expert with over 15 years of industry experience. His work relies heavily upon the use of Python and Python libraries. He teaches you everything you need to know to start your coding journey.

Connect with Amit on LinkedIn or Twitter