Python is one of the most popular programming languages, and is used for software development, system scripting, data analysis, and many other functions. It is also open-source, and there are thousands of modules that have been contributed by other Python users. It's a good language to learn for beginners, and is often recommended as a beginner's programming language.
Уроки Python программирования в Казахстане are available from a variety of institutions, including universities, colleges and vocational schools. Students can complete an introductory course or a master's degree in a program that includes Python training. Some courses may be offered online, while others are held at a local university.
Beginners can complete a self-paced course that takes about 5 weeks to complete. These classes are free and can help beginners quickly build a foundation in Python. They include topics such as python modules, functions, sequences and slicing, conditional statements, loop statements, object-oriented programming, file handling, and more.
The course will teach students the fundamentals of Python coding and how to use it as a tool for data analysis. They will also develop skills in writing simple Python programs and debugging code.
Learning Python and its applications for data science is an excellent way to start a career in the computer industry, and can be used in a number of different areas. These include information security, analytics, research, communications and more.
This four-course certificate in Data Management with Python covers topics such as programming against relational and document-oriented databases, creating CRUD (create, retrieve, update, and delete) operations, and using Python for data analysis. It also teaches the basics of SQL and how to program against database systems such as SQLite, MySQL, SQL Server, and MongoDB.
In this three-week Python and Data Science workshop, you will learn how to write basic Python code for calculations and data manipulation. You will explore object-oriented coding, and you'll learn how to refactor your code for efficiency and simplicity. You'll also learn how to work with strings, lists, dictionaries, and tuples.
During the first week, you'll review Python, create a mental map of its concepts, customize your command line, practice command line prompts, and practice coding with Python scripts. In the second week, you'll practice filtering data, editing data frames, and aggregating data.
You'll also learn how to use a web scraper in Python, and you'll use Python to connect to an API. Throughout the course, you'll also work with logic structures, lists, For loops, and if statements.
After completing the course, you'll be able to work with variables and data types in Python, manipulate strings, lists, dictionaries, and lists of tuples, understand basic Python coding concepts and their application, and identify common problems with Python code. You'll also be able to apply the knowledge you've gained in this course to new and challenging tasks.
This course is designed for those who have a background in statistics or other mathematical theories, but don't have much programming experience. It also is appropriate for those with a business intelligence background who want to expand their skill set by learning machine learning algorithms that are commonly used in data analytics jobs.