Python Bootcamp: Learn, Code, Build from Udemy

Save TIME and MONEY by enrolling in a 100% hands-on Python course.

Learn to write YOUR OWN Python scripts to AUTOMATE various tasks.

You might even get a RAISE or a

Probably the most PRACTICAL Python programming course on Udemy.
No slides, no boring theory, no rambling, no chitchat. Just hands-on CODING.
Notebooks, code samples & 500+
Downloadable Python
Get HUNDREDS of notebooks, downloadable
Learn REAL-LIFE skills: Excel / Database / Data Analysis / Network Automation & many more.
Udemy Bestselling Instructor since 2015, with
Over

Latest course UPDATES in 2024.

Enabling a Key-Feature in IDLE (Section 2)
Two New String Methods Introduced in Python 3.9 (Section 3)
Useful Note on the Replace() String Method (Section 3)
Update on F-strings in Python 3.8 (Section 3)
Syntactic Formalization of F-strings in Python 3.12 (Section 3)
Dictionaries are Iterable in Reversed Order with Python 3.8 (Section 9)
Dictionary Merge & Update Operators in Python 3.9 (Section 9)
The New Bit_Count() Method Introduced in Python 3.10 (Section 9)
Exception Notes with add_note() in Python 3.11 (Section 10)
Improved Error & Exception Messages in Python 3.10/3.11 (Section 11)
Returning Multiple Values from a Function (Section 12)
Update on Positional-Only Parameters in Python 3.8 (Section 12)
Update on \N{name} Escapes in Python 3.8 (Section 14)
Fixing the. I have taken a few Python courses previously from Udemy, this course is the best so far. The lectures are kept short but contain a lot of info on the topic. I really like the short quizzes to make sure you listened to the important points made in the lectures. The best feature is the interactive coding to give you immediate hands-on with the material to ensure you understood what you thought you understood. Great Course. " by Richard Mata
What others have to say about my courses?
- "What an incredible value and learning experience. " by Sean A.
- "Excellent material. Kudos to a great instructor with a vast level of creativity." by Anthony W.
- "The instructor is an excellent professional, skillful and engaging." by Georgios T.
- "I can say this man is going on smoothly and perfectly, explaining in the most empirical way." by Kolapo A.
Why would you take this course?
- Do you want to become a Python Developer from scratch, in less than 40 hours, without having to spend a lot of money on books and boring theoretical courses?
- Do you often hear things like "You should learn Python. " or "Just write a Python script for that. " or even "Python is so easy to learn. "? Python here, Python there, Python everywhere?
- Are you looking to apply your Python knowledge to specialize yourself in various areas of expertise, such as Databases, Excel, Web Development, Network Automation, Data Analysis and Visualization, Unit Testing etc.?
"As a Python beginner, I find this course is concise, easy to understand and structured. Also, Mihai responses to my question during the course promptly. I highly recommend this training course." by Johnny Wang
What's this course all about?
- Python programming course aimed at anyone having little or no experience in coding and a great desire to start learning Python from SCRATCH. This hands-on training takes you from "Hello World. " to advanced Python topics in an organized and efficient way.
- First, you will learn and practice every Python key concept, which is explained in one or more video lectures, usually followed by quizzes and/or coding exercises.
- Each video is filled with relevant examples, created in a learn-by-doing fashion and the notebooks, quizzes and coding exercises will help you consolidate the main ideas behind each Python topic.
- After laying the foundation, you will start exploring some advanced Python topics, thus quickly growing your skills from ZERO to
- Your first project will teach you how to build a scientific calculator in Python, having a basic user menu and performing both simple and intermediate math operations: addition, subtraction, multiplication, division, modulo, raising to a power, square root, logarithm, as well as trigonometric functions like sin, cos and tan.
- Finally, you will gain some real-life skills that you can use at most programming and IT-related jobs: Excel Automation, Database Automation, Data Analysis Automation, Test Automation, Web Scraping, Web App Development and Network Automation, among others, using Python.
- You will also be able to download printable cheat sheets to have every Python concept at hand whenever you need it, as well as a 200+ pages Python E-book that can help you continue studying whenever you don't feel like watching videos or solving coding exercises. What more can you ask for?
"I am really enjoying this course thus far. 10-12 minutes into the course and I've already written my first line of Python code, which I think it's pretty cool, since I've never programmed before. I'm planning to finish this course and apply for a junior programmer, part-time job. Thanks for this training. " by Andrei Vasilescu
What are the steps you're going to take from ZERO to
- Introduction - What's This Course All About?
- Zero Level: Python 3 - Basics
- Beginner Level: Python - Strings
- Beginner Level: Python - Numbers and Booleans
- Beginner Level: Python - Lists
- Beginner Level: Python - Sets
- Beginner Level: Python - Tuples
- Beginner Level: Python - Ranges
- Beginner Level: Python - Dictionaries
- Intermediate Level: Python - Conditionals, Loops and Exceptions
- Intermediate Level: Python - Handling Errors and Exceptions in Python
- Intermediate Level: Python - Functions and Modules
- Intermediate Level: Python - File Operations
- Advanced Level: Python - Regular Expressions
- Advanced Level: Python - Classes and Objects
- Advanced Level: Python - Other Advanced Concepts
- General Recap: Python - Cheat Sheet and 200+ Pages E-Book
- Solidify Your Python Skills: 500 Practice Items
- Project: Python - Build a Scientific Calculator with Python
- Superhero Level: Automate Excel Tasks with Python
- Superhero Level: Automate Database Tasks with Python
- Superhero Level: Automate Network Tasks with Python
- Superhero Level: Building an Interactive Subnet Calculator
- Superhero Level: Building a Basic Network Packet Sniffer
- Superhero Level: Config File Management and E-mail Notifications
- Superhero Level: Running Python Code via Remote Servers
- Superhero Level: Automate Data Analysis Tasks with Python
- Superhero Level: Data Visualization with Bokeh and Python
- Superhero Level: Automate Unit Testing with Python
- Superhero Level: Automate Web Scraping with Python
- Superhero Level: Diving into Object-Oriented Programming
- Superhero Level: Build Your First Web Project with Django & Python
- Superhero Level: Build an Expense Tracker Includes plenty of details and examples without being boring. Explanations are given at a very practical level." by Gary Scarr
  Important information before you enroll.
  - Don't forget you are covered by a 30-day money back guarantee, full refund, no questions asked.
  - Once enrolled, you have unlimited, 24/7, lifetime access to the course.
  - You will have instant and free access to any updates I'll add to the course.
  - You will benefit from my full support regarding any question you might have.
  - Check out the promo video at the top of this page and some of the free preview videos before enrolling.
  "This is a real nice course and very unique compared to other courses available on Udemy. The unique thing about this is automation projects. The best way to learn language and concepts is by applying them to practical scenarios and that is what this course is all about." by Vinay Gupta
  I strongly encourage you to learn Python, an amazingly beginner-friendly programming language.
  Let's get started. Enroll now and I'll see you in the first lecture.

What's inside

Learning objectives

You will gain confidence when asking your manager for a raise or going to any junior or intermediate python developer interview.
You will ultimately gain real-life skills: excel automation, database automation, data analysis etc. no silly little games, no useless apps, no filler content!
You will master all the python key concepts starting from scratch. no prior python knowledge is required.
You will get free new video lectures and resources regularly and learn the latest python 3 concepts and use cases.
You will have my full support for every course-related question or suggestion, plus the help of the community.
You will have lifetime access to course updates and new content, anytime, anywhere, on any device.
You will be able to apply for and get involved in most python 3 projects.
You will be able to work with the python interpreter and python scripts.
You will be able to work with python strings and string methods.
You will be able to work with python lists, list methods and ranges.
You will be able to work with python sets, set methods and frozensets.
You will be able to work with python tuples and tuple methods.
You will be able to work with python dictionaries and dictionary methods.
You will be able to work with python control flow structures (if, for, while, break, continue, pass, exceptions, try-except-else-finally blocks).
You will learn everything about properly handling syntax errors and exceptions in python 3.
You will be able to work with python functions, namespaces and modules.
You will be able to work with python file operations: create, read, write, append, truncate, close.
You will be able to work with python patterns and regular expressions.
You will be able to work with python classes, objects and inheritance.
You will be able to work with advanced python tools (comprehensions, lambda functions, threading basics, iterators, generators, decorators).
You will be able to apply the python 3 knowledge you get from this course in quizzes, coding exercises and real-life scenarios.
You will build a scientific, interactive calculator with a user menu and advanced math operations available.
You will be able to work with microsoft excel files and automate boring spreadsheet-related tasks using python 3.
You will be able to work with postgresql databases and automate boring database-related tasks using python 3.
You will be able to work with network devices (switches/routers) and automate networking tasks using ssh.
You will be able to work with pandas to perform data analysis operations on txt, csv, json, xlsx, html files and sql databases.
You will be able to work with bokeh to perform data visualization and generate line / bar / pie / range / stocks / candlesticks charts.
You will be able to work with pytest to perform unit test automation, also learning advanced concepts like fixture functions or markers.
You will be able work with requests, pandas and beautifulsoup to get, load and parse webpage content, perform web scraping tasks and build an excel database.
You will learn all the basics of oop, including classes, instances, constructors, attributes.
You will learn the core concept of inheritance, including multi-level and multiple inheritance.
You will learn to properly achieve polymorphism and how to use the method overriding concept.
You will dive into advanced concepts, like overloading, magic methods, abstract classes/methods.
You are going to build the necessary environment for using django and developing web projects.

You are going to create and configure your first django project - a blog application.
You are going to learn necessary concepts such as urls, views, templates, forms, models.
You are going to access the admin section provided by django and create a user to login into it.
You are going to learn to create simple tests and run them from the command line.
You are going to learn how to push the code to git (gitlab), a version control system.
You are going to build the necessary environment for using django rest framework and developing a rest api.
You are going to learn and practice concepts such as pre-commit hooks, tdd, github actions and running tests.
You are going to learn and practice concepts such as models, apiview, serializers, generic views and filters.
You are going to learn how to implement permissions and authentication with permission classes and api keys.
You are going to learn how to push the code to a remote repository, on github.
You are going to build the necessary environment for using django, graphene and developing a graphql api.
You are going to build a simple social media graphql api using python 3, django 3 and graphene.
You are going to learn the benefits of a graphql api versus a restful api.
You are going to learn how to integrate graphql inside the django ecosystem.
You will use python 3 for connecting via ssh to any network device and reading/writing configuration from multiple devices simultaneously.
You will use python 3 for building a subnet calculator, checking ip and subnet mask validity, and performing binary conversions.
You will use python 3 for building a basic packet sniffer, capturing and analyzing network packets (arp, icmp, bootp) and saving packet data to a log file.
You will learn how to use python, ssh, netmiko and linux for config file management and e-mail alerts.
You will use python 3 and specialized modules and commands to connect to and query network devices via an intermediary, remote linux server.
You will learn the most important methods and objects from python's regular expression library.
You will learn about metacharacters and special sequences from python's regular expression library.
You will learn about the extension notations and assertions from python's regular expression library.
You will build 5 small real-world projects using python's advanced regular expression concepts.
You will build a small real-world project for validating user account details using regular expressions.
You will use the power of python's regular expressions to filter employee data in excel files.
You will use pandas and the power of python's regular expressions to filter html page data.
Additionally, you will also learn how to use a few other useful python modules that might come in handy.
You will get a python 3 cheat sheet filled with key concepts and examples.
You will get a python 3 200+ pages e-book for free, to keep learning offline.
You will learn 10 ways to earn money and build a portfolio with your python skills.
You will get over 500 practice activities to solidify your knowledge - quizzes and exercises.
Show more
Show less

You will gain confidence when asking your manager for a raise or going to any junior or intermediate python developer interview.
You will ultimately gain real-life skills: excel automation, database automation, data analysis etc. no silly little games, no useless apps, no filler content!
You will master all the python key concepts starting from scratch. no prior python knowledge is required.
You will get free new video lectures and resources regularly and learn the latest python 3 concepts and use cases.
You will have my full support for every course-related question or suggestion, plus the help of the community.
You will have lifetime access to course updates and new content, anytime, anywhere, on any device.
You will be able to apply for and get involved in most python 3 projects.
You will be able to work with the python interpreter and python scripts.
You will be able to work with python strings and string methods.
You will be able to work with python lists, list methods and ranges.
You will be able to work with python sets, set methods and frozensets.
You will be able to work with python tuples and tuple methods.
You will be able to work with python dictionaries and dictionary methods.
You will be able to work with python control flow structures (if, for, while, break, continue, pass, exceptions, try-except-else-finally blocks).
You will learn everything about properly handling syntax errors and exceptions in python 3.
You will be able to work with python functions, namespaces and modules.
You will be able to work with python file operations: create, read, write, append, truncate, close.
You will be able to work with python patterns and regular expressions.
You will be able to work with python classes, objects and inheritance.
You will be able to work with advanced python tools (comprehensions, lambda functions, threading basics, iterators, generators, decorators).
You will be able to apply the python 3 knowledge you get from this course in quizzes, coding exercises and real-life scenarios.
You will build a scientific, interactive calculator with a user menu and advanced math operations available.
You will be able to work with microsoft excel files and automate boring spreadsheet-related tasks using python 3.
You will be able to work with postgresql databases and automate boring database-related tasks using python 3.
You will be able to work with network devices (switches/routers) and automate networking tasks using ssh.
You will be able to work with pandas to perform data analysis operations on txt, csv, json, xlsx, html files and sql databases.
You will be able to work with bokeh to perform data visualization and generate line / bar / pie / range / stocks / candlesticks charts.
You will be able to work with pytest to perform unit test automation, also learning advanced concepts like fixture functions or markers.
You will be able work with requests, pandas and beautifulsoup to get, load and parse webpage content, perform web scraping tasks and build an excel database.
You will learn all the basics of oop, including classes, instances, constructors, attributes.
You will learn the core concept of inheritance, including multi-level and multiple inheritance.
You will learn to properly achieve polymorphism and how to use the method overriding concept.
You will dive into advanced concepts, like overloading, magic methods, abstract classes/methods.
You are going to build the necessary environment for using django and developing web projects.
You are going to create and configure your first django project - a blog application.
You are going to learn necessary concepts such as urls, views, templates, forms, models.
You are going to access the admin section provided by django and create a user to login into it.
You are going to learn to create simple tests and run them from the command line.
You are going to learn how to push the code to git (gitlab), a version control system.
You are going to build the necessary environment for using django rest framework and developing a rest api.
You are going to learn and practice concepts such as pre-commit hooks, tdd, github actions and running tests.
You are going to learn and practice concepts such as models, apiview, serializers, generic views and filters.
You are going to learn how to implement permissions and authentication with permission classes and api keys.
You are going to learn how to push the code to a remote repository, on github.
You are going to build the necessary environment for using django, graphene and developing a graphql api.
You are going to build a simple social media graphql api using python 3, django 3 and graphene.
You are going to learn the benefits of a graphql api versus a restful api.
You are going to learn how to integrate graphql inside the django ecosystem.
You will use python 3 for connecting via ssh to any network device and reading/writing configuration from multiple devices simultaneously.
You will use python 3 for building a subnet calculator, checking ip and subnet mask validity, and performing binary conversions.
You will use python 3 for building a basic packet sniffer, capturing and analyzing network packets (arp, icmp, bootp) and saving packet data to a log file.
You will learn how to use python, ssh, netmiko and linux for config file management and e-mail alerts.
You will use python 3 and specialized modules and commands to connect to and query network devices via an intermediary, remote linux server.
You will learn the most important methods and objects from python's regular expression library.
You will learn about metacharacters and special sequences from python's regular expression library.
You will learn about the extension notations and assertions from python's regular expression library.
You will build 5 small real-world projects using python's advanced regular expression concepts.
You will build a small real-world project for validating user account details using regular expressions.
You will use the power of python's regular expressions to filter employee data in excel files.
You will use pandas and the power of python's regular expressions to filter html page data.
Additionally, you will also learn how to use a few other useful python modules that might come in handy.
You will get a python 3 cheat sheet filled with key concepts and examples.
You will get a python 3 200+ pages e-book for free, to keep learning offline.
You will learn 10 ways to earn money and build a portfolio with your python skills.
You will get over 500 practice activities to solidify your knowledge - quizzes and exercises.
Show more
Show less

Syllabus

Quick introduction to this Python course to get you ready for this learning experience.

Quick Introductory Note

Just starting out in programming? Read this!

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Covers Python key concepts from scratch, which is ideal for individuals with no prior programming knowledge and a desire to learn Python

Includes numerous coding exercises and quizzes, which helps learners consolidate their understanding of each Python topic

Teaches skills in Excel, database, data analysis, and network automation, which are valuable for real-world applications

Features updates for Python versions 3.8 through 3.12, which ensures learners are exposed to modern language features

Requires learners to install Python 3 on their machines, which may require some learners to upgrade their operating systems

Includes a 200+ page e-book, which may be helpful for learners who prefer to study offline and away from a computer

Reviews summary

Hands-on python for practical skills

According to learners, this course provides a strong foundation in Python, particularly excelling in its hands-on approach and focus on real-world automation tasks. Students appreciate the course's clear and concise lectures, often paired with interactive coding exercises and quizzes to reinforce learning. The availability of downloadable notebooks and resources is frequently highlighted as a positive aspect. While the course is marketed as starting from scratch, some reviewers suggest prior basic programming exposure might be helpful for certain sections. The instructor's responsiveness to questions and consistent course updates are seen as major strengths, ensuring the content remains relevant. Overall, the course is viewed as a valuable investment for those seeking practical Python skills for career advancement, offering a largely positive learning experience.

Content is actively maintained and updated.

"Latest course UPDATES in 2024."

"Will have instant and free access to any updates I'll add to the course."

"Good to see the course is regularly updated with new Python versions."

Instructor is responsive and helpful.

"Also, Mihai responses to my question during the course promptly."

"The instructor is an excellent professional, skillful and engaging."

"Benefited from my full support regarding any question you might have."

Lectures are focused and easy to grasp.

"The lectures are kept short but contain a lot of info on the topic."

"As a Python beginner, I find this course is concise, easy to understand and structured."

"Explains concepts clearly and without unnecessary jargon."

Emphasis on coding exercises and practice.

"The best feature is the interactive coding to give you immediate hands-on with the material..."

"No slides, no boring theory... Just hands-on CODING."

"I appreciated the abundant practice items and coding exercises provided."

Focuses on real-life automation tasks.

"The unique thing about this is automation projects. The best way to learn language and concepts is by applying them to practical scenarios..."

"I love the hands-on approach with practical examples like automating Excel and network tasks."

"Learned how to use practical tools and strategies that I could apply immediately to my work."

May be challenging for absolute beginners.

"While it says from scratch, some sections moved quite fast and might require a little prior logic understanding."

"Good for beginners with some programming background, maybe a bit fast if Python is your very first language ever."

"I recommend it, but be prepared to pause and rewatch if you're completely new to coding logic."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Python Bootcamp: Learn, Code, Build with these activities:

Review Python Basics

Show steps

Reviewing Python basics will help you solidify your understanding of fundamental concepts before diving into more advanced topics.

Browse courses on Python Basics

Show steps

Review data types and operators.
Practice writing simple Python scripts.
Complete online Python tutorials.

Review 'Python Crash Course'

Show steps

Reading 'Python Crash Course' will provide a comprehensive introduction to Python and reinforce the concepts taught in the course.

View Python Crash Course, 2nd Edition: A Hands-On,... on Amazon

Show steps

Read the introductory chapters on Python basics.
Work through the example code and exercises.
Attempt one of the projects in the book.

Build a Simple Text-Based Game

Show steps

Building a text-based game will allow you to apply your Python skills in a practical and engaging way, reinforcing your understanding of control flow, data structures, and functions.

Show steps

Design the game's rules and mechanics.
Implement the game logic using Python code.
Test and debug the game thoroughly.
Add features to enhance gameplay.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Solve Python Coding Challenges on HackerRank

Show steps

Practicing coding challenges on HackerRank will help you improve your problem-solving skills and become more proficient in Python programming.

Show steps

Create an account on HackerRank.
Select Python challenges of varying difficulty.
Write and submit your solutions.
Review the solutions of other users.

Create a Python Cheat Sheet

Show steps

Creating a Python cheat sheet will help you consolidate your knowledge of the language and provide a useful reference for future projects.

Show steps

Identify the most important Python concepts.
Summarize each concept in a concise manner.
Organize the cheat sheet for easy reference.
Share your cheat sheet with other learners.

Read 'Automate the Boring Stuff with Python'

Show steps

Reading 'Automate the Boring Stuff with Python' will expose you to practical applications of Python and help you automate common tasks.

View Automate the Boring Stuff with Python, 2nd... on Amazon

Show steps

Read chapters related to your interests.
Follow the examples and try them yourself.
Adapt the examples to your own needs.

Contribute to a Python Open Source Project

Show steps

Contributing to an open-source project will provide valuable experience in collaborative coding and software development, enhancing your Python skills and portfolio.

Show steps

Find a Python project on GitHub.
Read the project's contribution guidelines.
Identify a bug or feature to work on.
Submit a pull request with your changes.

Career center

Learners who complete Python Bootcamp: Learn, Code, Build will develop knowledge and skills that may be useful to these careers:

Software Developer

A software developer designs, develops, and maintains software applications. This Python bootcamp is directly relevant, as it provides hands-on coding experience and covers core Python concepts. A software developer uses programming languages like Python to build various applications, and this course helps build a strong foundation in that language. The course also enhances problem-solving skills and provides practice in real-world scenarios through its automation projects, like network automation. Someone seeking to become a software developer will find that the course's emphasis on practical application will be directly applicable to their work.

See salaries and explore the career path for Software Developer

Automation Engineer

An automation engineer designs, develops, and implements automated systems and processes. This includes automating tasks in areas like networking, data analysis, and database management, all of which are addressed in this Python bootcamp. The automation engineer would use Python to write scripts to automate tasks. This course provides a strong foundation in practical coding and the essential automation skills necessary for this role, making it directly applicable to someone who wants to pursue this career. The course covers a range of automation skills, making it an excellent foundation for those eager to begin a career as an automation engineer.

See salaries and explore the career path for Automation Engineer

Data Analyst

A data analyst collects, processes, and performs statistical analyses on data. This Python bootcamp is highly relevant, as it includes hands-on experience with data analysis using Python. The data analyst will use Python to explore and analyze data, and this course helps build a strong foundation in using Python for such tasks. Specifically, the course provides skills related to data analysis operations on various file formats and SQL databases, as well as data visualization, all of which are key to a data analyst's role. This training is useful for those pursuing a career as a data analyst.

See salaries and explore the career path for Data Analyst

Network Engineer

A network engineer designs, implements, and manages computer networks. In this role, Python can be utilized to automate network tasks. This Python bootcamp is useful for a network engineer due to its strong focus on network automation using Python, including working with network devices via SSH. The course also includes building projects such as an interactive subnet calculator and a basic network packet sniffer, which are directly applicable to the day-to-day work of a network engineer. The course's hands-on approach makes it particularly valuable for anyone seeking to excel in a role as network engineer.

See salaries and explore the career path for Network Engineer

Database Administrator

A database administrator is responsible for the performance, integrity, and security of a database. This Python bootcamp may be useful, as it includes hands-on experience with database automation using Python and working with PostgreSQL databases. The database administrator can use Python to automate tasks and improve database management. The course provides practical skills in interacting with databases, which are valuable for those pursuing a career as a database administrator. The exercises in the course will prove to be helpful for anyone who wishes to move towards a career in database administration.

See salaries and explore the career path for Database Administrator

Web Developer

A web developer designs, builds, and maintains websites and web applications. While this Python bootcamp is not solely focused on web development, it provides valuable skills for a web developer by covering web scraping and web application development with Django. A web developer can use Python to build a web application and process data from web pages. The course's emphasis on practical projects can provide useful hands-on experience for a web developer, especially those who want to build a full stack application. This course may be useful for someone exploring a career as a web developer.

See salaries and explore the career path for Web Developer

Test Engineer

A test engineer designs and implements tests to ensure software quality. A test engineer uses Python to automate tests, and although it does not solely focus on software testing, this Python bootcamp may be useful by introducing test automation with Python using Pytest along with fixture functions and markers. The course provides a foundation in using Python for automation, which is useful in test automation. The practical skills covered in the course may help a test engineer automate testing processes, which makes this course a good starting point for this career.

See salaries and explore the career path for Test Engineer

DevOps Engineer

A DevOps engineer uses tools and practices to automate software development and deployment. The DevOps engineer will use Python for various automation tasks, and this Python bootcamp may be helpful by equipping the DevOps engineer with hands on skills in automation, including file management, database interaction, and network configuration. This course provides valuable skills that a DevOps engineer might need, providing a solid stepping stone to a career in this field. The course may be valuable to an aspiring DevOps engineer.

See salaries and explore the career path for DevOps Engineer

System Administrator

A system administrator manages and maintains computer systems. System administrators can utilize Python to automate various tasks. This Python bootcamp may be useful for a system administrator due to its hands-on exercises which focus on automation, including network automation and interacting with remote servers. While the course does not focus specifically on system administration, the automation and scripting skills that it provides are valuable and relevant. This course may be useful for a system administrator who wishes to improve efficiency through Python automation.

See salaries and explore the career path for System Administrator

Data Scientist

A data scientist analyzes complex data and develops data-driven solutions. This Python bootcamp may be useful for a data scientist, as it introduces data analysis, visualization, and the use of Python to manipulate many data formats. The bootcamp covers working with diverse data sources, including text, CSV, JSON, and SQL databases. The skills learned in this course may be useful for those pursuing a career in data science, though additional formal study is typically required for this career.

See salaries and explore the career path for Data Scientist

Business Intelligence Analyst

A business intelligence analyst uses data to provide insights for business decisions. This Python bootcamp may be useful for a business intelligence analyst, as the skills you will learn include data analysis and data visualization. The course covers how to use Python to analyze data found in various file formats and databases, as well as creating graphs and charts using Bokeh. While this course is not specifically for business intelligence, it provides some practical skills that business intelligence analyst may find helpful.

See salaries and explore the career path for Business Intelligence Analyst

Research Assistant

A research assistant supports research projects, often involving data collection, analysis, and reporting. This Python bootcamp may be useful, as it provides some skills in data analysis, data manipulation, and web scraping, which are skills a research assistant may find helpful. However, a research assistant will need a broad set of research skills, and this course may be useful as a supplement to these skills. A research assistant pursuing a career that involves data may find this course useful.

See salaries and explore the career path for Research Assistant

Technical Support Specialist

A technical support specialist provides support for computer hardware, software, and systems. While this Python bootcamp is not directly focused on technical support, it may provide some useful skills through hands-on work with Python, as you will learn how to examine system behavior through tasks like packet sniffing which is covered in the course. This course may be a useful supplement for a technical support specialist who wants to improve their skills in these areas.

See salaries and explore the career path for Technical Support Specialist

IT Project Manager

An IT project manager plans, executes, and oversees IT projects. While this Python bootcamp does not specifically teach project management, it provides useful hands-on technical skills. IT projects may use automation, as you'll learn in this course, so an IT project manager can utilize the course's emphasis on practical coding and automation to better understand the technical aspects of a project. This course may be useful for an IT project manager who wants to expand their technical skills and knowledge.

See salaries and explore the career path for IT Project Manager

Financial Analyst

A financial analyst analyzes financial data and provides financial advice. While this Python bootcamp does not specifically focus on finance, a financial analyst can use Python for data analysis and visualization. The course covers working with spreadsheets and databases, which is useful in finance. This course may be helpful for a financial analyst who wants to learn how to use Python to perform data analysis, although financial modeling specifics are not included in the course.

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Python Bootcamp

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Hands-on python for practical skills

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