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Today, Python is one of the most in-demand and widespread programming languages. Google, Dropbox, Spotify, Amazon, Facebook, Instagram - this is an incomplete list of companies whose significant service components are created using Python. It has an active, global community of developers and one of the largest open-source libraries, which contributes to global-scale operations in this field and the development of the language.
Python is one of the best choices for back-end development, machine learning, data engineering, and cloud services. That's why learning it is a good start for anyone interested in the diversity of the technology field.
During the course, we will cover the basics of computer science, learn the Python programming language, and build a web service using Django and Flask frameworks, which will allow students to take the next career steps in Back-end Development, as they will already have an individual project completed within the course in their Github portfolio.
Outcome
Skills Acquired: Django, Flask, Vscode, Fast API.
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Set up an IDE (vscode) work environment & work on projects
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Manage projects using version control
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Organize projects cleanly & logically
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Use Python's most popular web frameworks
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Deploy Python Back-end & use recommended approaches
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Test Python project functionality
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Prepare documentation for Python projects
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Use OOP approaches to solve problems
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Manage & work with packages in Python projects
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Use popular Python packages from the built-in library
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Use popular open-source Python packages
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Work with databases using Python
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Collect & perform basic cleaning of information using Python
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Integrate / interact with services using Python
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Independently use Python Frameworks (Django, Flask, FastAPI)
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Further career development in several directions using the Python programming language (web development, data science, data analytics, web scraping)
Mon-Thu 20:00-23:00
Mon-Thu, 19:30-22:30
TBC installment
BOG installment
Who is this course for?
Beginners
The course is designed for those who want to learn Back-end Development, specifically Python from 0, to start writing web applications and/or web services.
Programmers
The course is also suitable for those who have already had contact with other programming languages and now want to learn Python.
Program includes
Alumni Club
After successfully completing the final exam, graduates will be automatically enrolled in the Alumni Club. This membership grants them access to exclusive events, content, and special offers from our partner companies
Work Based Learning
The course includes practice-based learning, including assignments/exercises and individual projects.
Bilingual Certification
Upon successful completion of the course, students will receive a bilingual certificate.
Graduate feedback
Nikoloz Mekvabishvili
Python
The course syllabus is quite comprehensive. I wanted to gain knowledge to continue gaining experience in this direction in the future. I really liked the lecturer's ability to convey information. We fully mastered the topics given in the syllabus. ComSchool, for its part, did not lack attention and always offered help.
გიორგი სანაძე
Python
Several factors made me decide to take the course. I wanted to gain basic programming knowledge, which would definitely be useful in the future in terms of database management, as well as improving skills related to data science. Despite having many years of experience working with databases, the information received within the course is invaluable and I recommend it to anyone with relevant interests. Any new knowledge in the direction of information technology is an invaluable investment in oneself in today's dynamic world.
ნინო წომიკურიძე
Python
During learning, especially when learning programming, we often have questions, and it means a lot when we can ask any question and get an answer. I was lucky to choose ComSchool. It's largely due to the lecturer that students were actively involved in the lecture process, which was a particularly great experience. The lecturer was always ready to answer any question, and the school, for its part, always showed attention and was interested in the students' mood.
Irakli Patsinashvili
Python
The course was quite productive, exceeded expectations, and helped me gain knowledge in a short time. The lecturer always gave comprehensive answers to our questions and helped us understand unclear parts. The course showed me my strengths and weaknesses and, accordingly, helped me choose how and in which area I should develop myself in the future.
Syllabus
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The average income of data engineers will not leave you indifferent - this number is equal to $117,000.This data is not surprising at all. The skills needed for data engineering, such as Python, SQL, are among the highest-paid knowledge. According to LinkedIn, there are many more job postings for data engineer positions (up to 112,500 vacancies) than for data scientists (up to 70,000 vacancies). And the demand is very growing - in 2019 it increased by 88% compared to the previous year. This trend will definitely continue in the future. 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So, if you want to have one of the most in-demand and highly paid skills in the future, start learning data engineering. Join us at Commschool! Learn More
Data Engineering: Profession, Skills, Career Path
The vast amount of data is changing the principles of doing business and also creating a demand for data engineers who can collect, store, and sort it. It's expected that by 2025 we will produce 463 exabytes of data daily. Processing information of this scale will be impossible without industry specialists. Therefore, data engineering will become an important part of future global changes. If you work in programming and want to be part of a challenging process, read the blog and find out what opportunities data engineering offers. What does data engineering involve? Data engineers work on designing and creating systems that collect, process, and transform primary data into usable information for data scientists and business analysts. Their main goal is to make data accessible in such a way that the organization can use it to evaluate and optimize business.This is an incomplete list of responsibilities you might have when working with data:Collecting databases that relate to business needsDeveloping algorithms that transform data into practical informationBuilding, testing, and maintaining the system architecture of databasesCollaborating with managers to understand company goalsCreating new methods and tools for data validation and analysisEnsuring compliance with data management and security policies Why should you choose data engineering? Working in this field is both enjoyable and challenging. You will play an important role in the company's success. You achieve this by making data easily accessible to data scientists, analysts, and decision-makers. They need this information in their daily activities. For this, you will need programming and problem-solving skills. As long as data exists, there will be a demand for data engineers. Moreover, according to a 2019 study, data engineering is the trendiest job in the technology industry. It leaves behind computer scientists, web designers, and database architects In addition, data engineering is a high-paying profession - according to 2022 statistics, the average income in the US is $115,176.To become a successful data engineer, it's desirable to have relevant knowledge and skills in computer science. This will create the foundation needed in this rapidly developing field. If you have a bachelor's degree in computer science, then you can study data engineering at the master's level. However, it's possible to master this profession without continuing studies in higher education institutions. For this, 4 stages need to be passed: Develop skills needed for data engineering At the initial stage of your career in data science, learn the basics of cloud computing, coding, and database design. Specifically:Collecting databases that relate to business needsDeveloping algorithms that transform data into practical informationBuilding, testing, and maintaining the system architecture of databasesCollaborating with managers to understand company goalsCreating new methods and tools for data validation and analysisEnsuring compliance with data management and security policiesWhy should you choose data engineering? Working in this field is both enjoyable and challenging. You will play an important role in the company's success. You achieve this by making data easily accessible to data scientists, analysts, and decision-makers. They need this information in their daily activities. For this, you will need programming and problem-solving skills.As long as data exists, there will be a demand for data engineers. Moreover, according to a 2019 study, data engineering is the trendiest job in the technology industry. It leaves behind computer scientists, web designers, and database architects.In addition, data engineering is a high-paying profession - according to 2022 statistics, the average income in the US is $115,176.To become a successful data engineer, it's desirable to have relevant knowledge and skills in computer science. This will create the foundation needed in this rapidly developing field. If you have a bachelor's degree in computer science, then you can study data engineering at the master's level. However, it's possible to master this profession without continuing studies in higher education institutions. For this, 4 stages need to be passed:Develop skills needed for data engineering At the initial stage of your career in data science, learn the basics of cloud computing, coding, and database design. Specifically:Coding: Programming languages are essential for data engineering. Therefore, be sure to learn and develop coding skills. 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When working on solving this problem for a company, you need to understand well, for example, when to use a Data Lake and when to use a Data Warehouse.Automation and scheduling: Automation is an essential part when working with a large database, for which you should be able to write a plan to perform repetitive tasks automatically.Machine learning: This topic is of interest to data science, but it will help you understand the basic principles. It will also show you the need for specialists in this field in the team.Big data tools: Data engineers mostly have to work with large amounts of data. Tools and technologies are constantly evolving. Among them, the most popular are Hadoop, MongoDB, Kafka.Cloud computing: Today, companies are replacing physical servers with cloud services. Therefore, studying this issue well will definitely be useful.Data security: Data engineers often have to work on securely storing data and protecting it. Accordingly, this skill will be needed in daily activities. Take a data engineering course Obtaining a certificate will be proof of your skills to employers. Therefore, study data engineering in a certified course and gain relevant knowledge and practical experience. This will help you refine and improve the necessary skills.Here I'll also tell you new news - you can now study data engineering at Commschool! If you know the Python programming language, then this program will interest you. Together with a professional lecturer in the field, you will learn to use key technologies and tools for data engineering, design web services for data, and various Python libraries. So, be sure to check out the course syllabus. Data Engineering 33 Lecture/ 99 Hour / 17 Week Learn More Create a portfolio In the job search process, a portfolio is often a decisive component, as it best shows your capabilities Therefore, create a web page portfolio of data engineering projects that you have completed independently or as a final course assignment. Place them on your LinkedIn profile or GitHub. tart working in an entry-level position Many data engineers start their careers in entry-level positions such as business analyst or database administrator. When you gain experience, acquire new knowledge and skills, you can also get employed in higher positions. Thus, if you see yourself in this field, take this opportunity and start learning data engineering at Commschool! Join Us
Career Guide: Become a Data Engineer
Every day we receive, process, and analyze a large amount of data, which helps us make decisions. This process is particularly important for companies. They use data to evaluate and optimize their business. A data engineer plays a significant role in this, whose responsibility includes building systems necessary for collecting, storing, and processing large amounts of information.If you want to pursue a career in data engineering, then you must read this blog. Here you'll get advice on how to become a successful data engineer. According to the International Data Corporation, by 2025 we will collect 175 zettabytes (10^21 bits) of data (for comparison, this year's figure is 33 zettabytes). How will companies manage to store and process information of this scale? The answer is: by hiring many data engineers. The reason for this is that they need more people "on the front line" to collect numerous primary data from various sources. 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For example, in the USA, the average annual income is $115,157. So if you're planning to change professions and choose a new career path, now is the best time to step into this field. Data Engineering Program 33 lectures / 99 hours / 17 weeks Learn more about the course Now I'll tell you how to become a successful data engineer and what skills you'll need for this: Interest in data-driven decision making To start working in this field, you must have the desire to learn a new and challenging job Working with data and using it to draw correct and valuable conclusions and assumptions is one of the most useful skills today. In this process, you may encounter problems that require more effort from you. But if you have a strong will for this, you will definitely overcome existing obstacles. Ability to use SQL and DBMS systems Database Management Systems (DBMS) are software systems used to store, retrieve, and analyze data. 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For example, Snowflake for data storage, dbt for ELT, Airflow for orchestration. To keep up with the processes and changes in the industry, keep an eye on the news and learn to use such tools. Data Engineering - About the Course In parallel with mastering and improving the skills listed above, you can enroll in a data engineering course, which will better introduce you to this field and help you improve your knowledge and gain practical experience. Successfully completing the course and receiving a certificate will definitely help you in the job search process - it will give you an advantage over your competitors. Now I have good news for you - a data engineering course is starting at Commschool! The program is designed for those who have already learned the Python programming language and are interested in working with data. In the course, you'll study concepts related to data engineering, practical tools and technologies, work on an individual project, and receive career support from Commschool.So, get acquainted with the course syllabus in more detail and join us at Commschool! Learn More
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