This server-side language was modeled after the English language, which makes it easier to learn and write than other coding languages. This open-source language has grown in popularity in the past few years due to its range of uses in the fields of data science and machine learning. Because of its simple syntax, Python is a go-to language for those who are new to computer programming. Studying Python can lead to many high-paying career opportunities since it’s used across industries. Many major companies and organizations like Netflix, Facebook, NASA, Amazon, and Google all use Python for their development. One of the best ways to learn Python is to enroll in a certificate program that teaches this in-demand language.
Developer Bootcamp: Python Programmer Bootcamp
Key Information: Python Programmer Bootcamp is available for those interested in learning how to quickly create and maintain Python programs. This course takes 28 hours to complete and is available online. Developer Bootcamp has a unique approach to instruction that combines on-demand content with personal facilitation and a support staff who are available for guidance. All learners are assigned an instructor to help with lab exercises and course content. Tuition is $1,495. No prerequisites are required.
This bootcamp program provides participants with hands-on training in basic and advanced Python programming skills. This program begins with a basic overview of Python and instruction on how to write expressions. Language fundamentals are covered next such as this language’s lexical analyzer, keywords, and identifiers. Students learn how to work with strings and numbers and become familiar with building structured data using sets, lists, tuples, and dictionaries. Instruction is offered on controlling a Python program’s flow and creating a modular code with functions.
During this program, those enrolled explore core concepts of object-oriented programming and how Python can be used for database programming. Participants also work with regular expressions, exception hanging, and modules.
Noble Desktop: Python Developer Certificate
Key Information: Noble Desktop’s Python Developer Certificate is available for those interested in pursuing a career as a Software Engineer, Back-end Developer, or Python Developer. The cost of study is $3,995. Various financing options are available. This certificate requires as a prerequisite that students interested in enrolling have a familiarity with CSS and HTML coding equivalent to Noble’s Web Development with HTML & CSS course. Additionally, it’s helpful, though not required, for participants to know another programming language. This program takes 90 hours to complete over the course of three weeks of full-time study. All participants have the option of retaking this class for no additional cost for up to one year. Coursework is available in the live online format.
Python Developer Certificate teaches students how to use Python for software development with tools like Django, Django REST, SQL, and Git. Week one provides an overview of Python’s lexical syntax. Coursework then progresses into more complex Python topics such as custom functions, dictionaries, and sorting algorithms. The second week of certificate study provides instruction on object-oriented programming, working with APIs, and using SQL to communicate with web databases.Â
In addition to hands-on live training, students have the opportunity to build a professional portfolio during this class. The lead instructor provides guidance as students complete several projects during the program that can be used toward their portfolio. Additionally, students learn about Django, Python’s web framework for back-end web programming. By course completion, those enrolled will be able to work with querying models, URL dispatchers, and task automation. Learners also use Django REST to handle authentication, images, and API endpoints.Â
Python Developer Certificate includes more than hands-on, in-class instruction; participants also receive four one-on-one mentoring sessions. These can be used to revisit complex course material and ensure learners are on track with their learning goals. Sessions can also be devoted to professional development. Some learners opt to use this time to work on their resume or LinkedIn profile, develop their professional portfolio, or receive job application advice.
General Assembly: Data Science Immersive
Key Information: Data Science Immersive is available for those interested in learning Python while acquiring a well-rounded data science and technical foundation.Â
Tuition is $15,950 for this full-time program. No prerequisites are required to enroll. This is an online livestream class in Atlanta.
Data Science Immersive provides in-depth training in some of the core skills, languages, and tools needed to pursue a career in data science. In addition to learning Python, students also study data science essentials, data mining, machine learning, and statistical modeling. Instruction is provided on advanced data science techniques like neural networks, recommender systems, and computer vision models. Those enrolled acquire data science strategies to handle real-world business challenges and communicate findings through persuasive presentations and visualization of data.Â
Participants create engaging presentations for stakeholders and professional-grade data visualizations. They also have the chance to work with UX design students and Software Engineers or real-world clients during this program. In addition to online coursework, this program also connects students with a network of expert Data Scientists and industry leaders. Those who graduate from this program can pursue careers such as Data Analyst, Data Scientist, or Business Analyst. Tuition includes individualized guidance, feedback, and one-on-one check-ins.Â
Flatiron School: Data Science
Key Information: Flatiron School’s Data Science is one of Atlanta’s most comprehensive data science courses. It prepares students to work with Python, data science, machine learning, and a range of other in-demand technical skills. This beginner-friendly program doesn’t require prerequisites. Tuition is $15,000.
Data Science is an intensive program that provides students with six modules of data science instruction and a final project. Module 1 covers Python for data science. Students explore Python basics, learn how to use Jupyter Notebooks, and work with various popular Python data science libraries such as NumPy and Pandas. This unit also covers transforming data into useful insights by visualizing information. The second module provides instruction on data engineering for data science. Students learn about relational databases, data retrieval, and SQL basics for data querying. In the third module, participants study probability theory, statistical distributions, Monte Carlo simulations, and AB testing.Â
Unit four offers instruction on statistical modeling, linear algebra and linear regression, time series modeling, and polynomials. The fifth unit is structured to allow students to master machine learning and big data skills. They work with decision trees, pipelines, clustering, and distance metrics. In unit six, participants study natural language processing and deep learning. Instruction is also provided on how to evaluate and regularize model performance.Â
The final project in this program offers students the chance to develop a large-scale machine learning and data science project. This in-depth project teaches learners how to approach large-scale data science tasks and apply the skills they’ve learned in this class. Students each can pitch three ideas to instructors and work closely with them to select the best match. Instructors provide advice on each project based on its feasibility and difficulty. A grade is assigned to each project.
FAQ for Python Certificates
What is the Difference Between a Certificate and a Certification?
You’ve likely heard of Python certificates and certifications but may not know how they differ. To become certified in Python, you must sign up to take an exam, pay a fee, and pass the test. Python certification tests are available from a third party not associated with any educational provider or school. Those interested in earning this credential prepare for the exam as they see fit. If you are familiar with Python and use it regularly at work, you may not need to prepare extensively for this exam. However, if you don’t have a background working with this language, it may take dozens of hours of prep time to study. No formal coursework is required for Python certification, though some learners opt to enroll in a training program. One popular Python certification is the Certified Entry-Level Python Programmer (PCEP). This test requires students to know and apply commonly used Python terms and definitions. It also tests your knowledge of this language’s structure, logic, operations, functions, runtime environment, and variables. To pass this exam and earn a certification, you must score 70% or higher.Â
Python certificates require an entirely different process. Certificate study usually involves signing up for a training course that teaches Python. Some certificate programs provide instruction solely on Python, while others teach students this language as part of a larger course in which multiple data science tools and skills are covered such as SQL, machine learning, AI, and data analytics. Certificates are usually taught in the live environment, either in-person or online. Students can typically select from full-time and part-time study options to tailor their studies around their schedules. The length of certificate programs depends on the course content and the provider. Some classes span just a few weeks, whereas others may require six months to complete. The study price can vary significantly; some certificates cost less than $4,000, and others require an investment of more than $15,000. One of the reasons students often opt for certificate programs is that they often provide additional learning support and professional development. Some classes come with individual mentoring sessions or career support. Those who successfully complete the class earn a certificate.
Should I Pursue a Certificate or a Certification?
If you’re interested in learning Python, you may wonder whether it’s better to pursue a certificate or certification in this language. This is a largely subjective question that will depend on several factors. If you need to use Python at your current job or are going to be applying to new careers that require computer programming training, a certificate program can be a great way to learn this skill. In particular, if you didn’t attend college or had a major in school that was unrelated to Python, certificate study can provide you with the training you need to use this language in a professional setting. Employers often look for candidates with an educational background in Python; certificates satisfy this requirement. Unlike college study, which takes four years and can cost more than $36,000 a year, certificates can be completed in a much shorter timeframe and for a price that’s less than one year of college study. They also provide a more focused type of training. Some certificates also provide professional development and support, which is extremely useful for those on the job hunt.Â
If you already work with Python or have studied this language in the past, certification may be a better option to demonstrate your coding skills. Even though not all employers require that applicants earn Python certification, it can be helpful to set yourself apart from other job applicants who have a similar background and qualifications but lack this credential. Like certificate programs, the time you spend studying for Python certification has inherent value because it provides you with a skill set you can use immediately and even transfer to other professional roles. Because certifications are given by third parties, they are universally recognized indicators that you’ve achieved a level of Python mastery.
Do I Need to Become Certified to Find a Job?
If you’re currently looking for a new job, you may wonder if Python certification or certificate study can help you. All employers have different requirements for applicants, so it’s important that you look into the job you’re applying for to see what credentials, training, and skills they seek in employees. If you didn’t have a chance to study Python in college, a certificate can be a great way to provide you with the training you need to excel professionally in various roles. Even if the job you’re applying for doesn’t specifically require applicants to possess certificates, enrolling in an in-depth course where you receive weeks or months of hands-on training can be an excellent learning opportunity and will look good on your resume.Â
The same general idea is true with Python certification. Depending on the Python position you’re applying for, the requirements for the job may vary. If the employer specifies that they want all applicants to possess a particular certification such as the PCEP, you must have this credential to apply. Passing this exam would mean that you’ve achieved a universally-recognizable level of programming skills and can use them at the job you’re applying to. However, not all jobs ask for Python certification. If this is the case, you can decide whether you think earning this designation would help set you apart from other candidates or if your programming background and knowledge is strong enough without it. Regardless of whether it’s required, the time spent studying in a certificate program or for a certification exam is a great way to teach you Python, build your resume, and make you an all-around more competitive candidate.Â
What Certificate Program is Right for Me?
If you’re committed to pursuing a Python certificate, the next step is deciding which type of coursework is best for you. Because so many options are available for in-person and online study, you must weigh several factors when making this decision. Making a choice will likely depend on your learner type, whether you study better in structured, live coursework or prefer the flexibility of asynchronous content, and what your ultimate learning goals are for studying this scripting language.
Which is Better: In-Person or Online Classes?
Two primary training formats are offered for Python study: online and in-person. Each kind of study has its unique benefits and drawbacks.Â
Extroverted learners who learn best in the traditional classroom setup may benefit the most from in-person certificate programs. A live instructor leads coursework in this interactive training format and shares their Python expertise and real-world training with participants. This type of training provides the opportunity to ask questions as they arise and receive instantaneous support and clarification. You also benefit from learning with other students on a similar Python study path, which can provide an added sense of support and community. When selecting in-person training, it’s important to remember that you’ll have to attend regularly scheduled classes, which will require commuting to and from campus for class. This means you must live near a training facility, which is often located in or near a city. It also means that you’ll have to invest additional time commuting and spend money on gas, parking, or other transportation-related fees.
If you are the kind of learner who gravitates toward virtual study, live online Python certificates are a great alternative to in-person study. Live online learning offers many of the same learning benefits and outcomes as in-person classwork without the commute. You can attend class from your home or office and never have to sit in traffic in Atlanta or waste time searching for parking. Coursework is taught using a teleconferencing platform like Zoom. You not only connect with an instructor in real-time but also work with other students in the virtual classroom environment. Live online Python certificates do require that you attend class meetings that are scheduled at regular intervals, which may mean having to take time off of work or rearrange your schedule to accommodate study. This learning format, therefore, may be challenging for those who work full-time or must balance a range of professional and personal commitments with their Python coursework.
Which is Better: Live Online or Asynchronous Classes?
Two options for Python coursework are available within the online learning format: synchronous and asynchronous. Synchronous class, also known as live online class, provides you with real-time access to an instructor. You can ask any questions you have and share your screen with the instructor (with permission) if you need additional support or clarification. Since certificate training takes place entirely remotely, you don’t have to leave the comfort of your home to acquire Python training. While this learning format generally costs more than asynchronous coursework, it is worth it for most learners because you receive individualized support, guidance, and a virtual community to learn alongside.
Asynchronous Python coursework is another option you may be considering if you’re committed to studying this language online. This is the most flexible way to acquire Python skills. Course content is recorded at an earlier time and placed online. This material may consist of a combination of tutorials, learning modules, video lessons, and quizzes. Whereas live online classes meet at regularly scheduled intervals, you can complete asynchronous coursework any day, at any time. You can choose to complete Python lessons during your lunch break at work for fifteen minutes a day or spend all of Sunday learning this language. Additionally, since it’s self-paced, you can determine your own learning speed. This means you can pause and rewind videos to drill down on complex Python topics or even rewatch entire videos as often as necessary to commit them to memory. Some asynchronous content is very short and may include a YouTube video on working with a particular Python library like Pandas. Other content is longer and more involved and may offer an overview of the role Python programming plays in data science and machine learning.Â
Since asynchronous classwork is pre-recorded, you won’t have the benefit of a live instructor to answer questions. This is why some students begin with self-paced Python training but ultimately progress into a more structured, live course such as an in-person Python bootcamp, to fully master this language.