Python Certificates Near Me

Key Insights

Python certification can significantly enhance job marketability by validating proficiency in high-demand fields including web development using frameworks such as Django and Flask, and data science leveraging libraries like Pandas and NumPy.

In the FinTech industry, Python's capabilities specifically support quantitative trading, financial modeling, and blockchain development through specialized libraries like Quantlib and Zipline, as well as robust numerical computation tools.

Python's extensive machine learning ecosystem, featuring Scikit-learn, TensorFlow, and Keras, equips professionals with essential tools to develop, train, and deploy complex neural networks for tasks spanning image recognition and natural language processing.

Learn More About Python Certificates

What is Python?

Python is a high-level, interpreted programming language known for its simplicity and readability. Developed in the late 1980s by Guido van Rossum, Python has grown in popularity due to its versatile nature and a large standard library that supports many common programming tasks. Its dynamic typing and garbage collection capabilities, combined with its comprehensive library, make it suitable for rapid application development.

Common uses of Python include web development, data analysis, artificial intelligence, scientific computing, and automation. The language is also frequently employed in developing desktop GUI applications and game scripting. In recent years, Python has gained traction in the fields of machine learning and data science thanks to a rich ecosystem of libraries like TensorFlow, Keras, and Pandas. The language's simplicity and clarity make it an ideal choice for beginners and experts alike.

Why Become Certified in Python?

Certification in Python can provide numerous advantages for both new and experienced programmers seeking to validate their skills and knowledge. Firstly, achieving certification can serve as a testament to an individual's proficiency in the language, showcasing their ability to handle complex Python-based tasks effectively. For job seekers, a Python certification can make their resume stand out, potentially leading to more job opportunities, especially in industries where Python is in high demand, such as data science, web development, and machine learning.

Additionally, the process of preparing for a certification often involves in-depth study and hands-on practice, further enhancing the individual's understanding and expertise in Python. This deepened knowledge can increase efficiency and problem-solving capabilities when working on Python projects. Moreover, some training programs or bootcamps that offer certification also provide networking opportunities, allowing candidates to connect with industry professionals and like-minded peers, fostering collaborations and opening doors to potential career advancements.

What You’ll Learn While Becoming Python Certified

Python is a versatile programming language with a wide range of applications. Common uses of Python include web development, with frameworks such as Django and Flask making it easier to build robust websites. In the realm of data science and analysis, Python is favored for its powerful libraries like Pandas and NumPy. The language also plays a significant role in artificial intelligence and machine learning, with libraries such as TensorFlow and Keras facilitating the development of advanced models. Additionally, Python is used in automation and scripting tasks, enabling users to automate repetitive tasks efficiently. Furthermore, it's employed in scientific computing, game development, and the creation of desktop GUI applications. Its adaptability and extensive standard library make Python suitable for various domains, from academia to industry.

Web Development

Python is a popular choice for web development projects due to its simplicity, efficiency, and rich ecosystem of frameworks and libraries. In web development, Python's Django and Flask frameworks are particularly renowned. Django provides a high-level, comprehensive framework with an ORM (Object-Relational Mapping) system, making database interactions more intuitive. On the other hand, Flask offers a lightweight and flexible micro-framework approach, giving developers more control over the components they wish to use. Both frameworks facilitate the rapid development and deployment of secure and scalable web applications. Additionally, Python's vast standard library and third-party packages like SQLAlchemy for database management and Jinja2 for templating further enhance its capabilities in the web domain. The language's readability and maintainability also make it ideal for collaborative projects, ensuring clean and consistent codebases.

Data Science

Python has established itself as a dominant force in the realm of data science due to its powerful tools and libraries tailored for data manipulation, analysis, and visualization. Libraries like Pandas provide efficient data structures and methods for data cleaning, transformation, and aggregation, making it easier to process large datasets. NumPy, another pivotal library, supports numerical computations and multi-dimensional arrays, which are essential for various mathematical operations in data science. For statistical modeling and machine learning, Python boasts libraries such as Scikit-learn, which provides simple and efficient tools for data mining and analysis. Deep learning projects often leverage frameworks like TensorFlow and Keras, enabling the development and training of complex neural networks. Furthermore, visualization libraries like Matplotlib and Seaborn allow data scientists to create insightful charts and plots, aiding in data exploration and result presentation. The cohesive ecosystem and the active community support make Python a preferred choice for data-driven projects, from preliminary data analysis to deploying machine learning models.

FinTech

Python has become a key player in the FinTech sector due to its flexibility, scalability, and robust libraries tailored for financial applications. One of the primary areas where Python shines in FinTech is in quantitative and algorithmic trading. Libraries like Quantlib and Zipline offer tools for quantitative finance and algorithmic trading strategies, respectively. For financial modeling and risk management, Python provides powerful numerical computation tools through NumPy, making complex calculations more manageable. Time-series data, which is integral in finance, can be efficiently manipulated using the Pandas library, streamlining data analysis processes.

Regarding blockchain and cryptocurrency projects, Python's versatility allows for the development of blockchain applications and integration with various cryptocurrency APIs. Additionally, machine learning capabilities, using libraries such as Scikit-learn or TensorFlow, empower FinTech companies to harness predictive analytics, enhancing fraud detection systems and personalizing customer experiences. The language's clarity, combined with its ability to seamlessly integrate with other systems, makes Python an invaluable asset for FinTech projects ranging from banking software to investment platforms.

Machine Learning

Python has solidified its position as a premier language for machine learning (ML) due to its user-friendly syntax, extensive libraries, and vibrant community. At the core of Python's ML capabilities is Scikit-learn, a library that offers simple and efficient tools for data analysis and modeling, encompassing a wide range of algorithms from clustering to regression. For deep learning, which involves neural networks with multiple layers, libraries such as TensorFlow, Keras, and PyTorch come to the forefront. These frameworks provide the necessary infrastructure to design, train, and deploy intricate models for tasks like image recognition, natural language processing, and more.

Data manipulation and preprocessing, which are essential steps in any ML pipeline, are streamlined with libraries like Pandas and NumPy. They allow for efficient handling of data structures and mathematical operations, respectively. Visualization tools like Matplotlib and Seaborn assist in data exploration and results interpretation, offering insights into the data and model performance. Furthermore, Python's compatibility with other languages and platforms, along with its extensive documentation and community support, facilitates a smoother learning curve for newcomers and fosters innovation in the ever-evolving field of machine learning.

Artificial Intelligence

Python has emerged as a predominant language for artificial intelligence (AI) projects, largely due to its simplicity, versatility, and the depth of its libraries and frameworks. In the sphere of AI, Python's strength lies in its ability to cater to both classical algorithms and modern deep learning techniques. For symbolic AI and rule-based systems, libraries like PySWIP enable integration with Prolog, a language traditionally used for symbolic reasoning. Natural Language Processing (NLP), a major subset of AI, greatly benefits from libraries like NLTK and SpaCy, which provide tools for tasks ranging from tokenization to sentiment analysis.

Deep learning, which powers many advanced AI applications such as image and speech recognition, is facilitated by Python frameworks like TensorFlow, Keras, and PyTorch. These allow for the creation and training of intricate neural network architectures. Reinforcement learning, another growing area in AI for training agents in decision-making scenarios, is supported by libraries like Gym from OpenAI. Additionally, Python's Scikit-learn provides a comprehensive toolkit for various machine learning algorithms, which form the foundation for many AI systems. Given Python's readability, extensive community support, and its broad ecosystem, it remains a top choice for researchers and developers venturing into diverse AI projects.

Python Industries

Python, with its versatile nature and expansive library ecosystem, has made significant inroads into multiple industries, each leveraging the language's capabilities to address specific needs and challenges. One notable industry is the healthcare sector. Hospitals, research institutions, and pharmaceutical companies utilize Python for tasks ranging from data analysis to bioinformatics. With libraries like BioPython, researchers can handle biological computations and analyze genomic sequences. In clinical settings, Python aids in predicting patient outcomes, optimizing hospital operations, and even in the development of AI-driven diagnostic tools. The language's capability to process large datasets quickly makes it invaluable for epidemiological studies, drug discovery, and personalized medicine.

In the realm of finance, Python's mathematical and analytical prowess comes to the forefront. Investment banks, hedge funds, and insurance companies employ Python for quantitative analysis, risk management, and algorithmic trading. Libraries such as Quantlib facilitate financial modeling, while Pandas and NumPy are instrumental in data manipulation and statistical analysis. Moreover, with the rise of FinTech, Python plays a pivotal role in developing digital payment solutions, blockchain applications, and robo-advisors, transforming traditional financial services with technology-driven innovations.

Shifting the focus to the public sector, Python is increasingly becoming a tool of choice for governmental and non-governmental organizations. Municipalities use Python to analyze urban data, optimize public transportation routes, and enhance civic services. On a larger scale, national governments employ Python for tasks such as tax revenue forecasting, social welfare program analysis, and even in cybersecurity efforts to safeguard digital infrastructure. Furthermore, space agencies like NASA have historically used Python for various applications, including data analysis from space missions and satellite trajectory computations. The language's adaptability and open-source nature make it an attractive option for public sector entities aiming for transparency, efficiency, and modernization in their operations.

Python Careers

Software Engineer

A Software Engineer specializing in Python is responsible for designing, implementing, and maintaining software applications using the Python programming language. Their tasks often include understanding client or user requirements, developing efficient algorithms, and writing clean, scalable code. They might also integrate Python applications with other systems or platforms, ensuring compatibility and functionality. Regular code reviews, debugging, and testing are integral to their role to guarantee the quality and reliability of the software. Additionally, they collaborate with cross-functional teams, such as UI/UX designers and product managers, to deliver comprehensive software solutions. Continuous learning is essential, as they need to stay updated with the latest Python libraries, frameworks, and best practices to optimize performance and introduce new features. In the US, Software Engineers earn about $117,000 annually.

Data Scientist

A Data Scientist leverages Python to extract insights from complex and unstructured data. Their responsibilities encompass collecting, cleaning, and preprocessing data to make it suitable for analysis. Using Python's extensive library ecosystem, they perform statistical analysis, hypothesis testing, and predictive modeling to uncover patterns and trends. Data visualization, using tools like Matplotlib and Seaborn, is crucial for presenting findings in an understandable manner to stakeholders. Moreover, they might be involved in designing and implementing data-driven algorithms for real-time applications. Collaborating with business analysts and domain experts ensures that the data analysis aligns with business goals and provides actionable insights. Continuous research and staying abreast of the latest in data science methodologies are vital for this role. Data Scientists in the US earn an average salary of about $124,000.

Machine Learning Engineer

Machine Learning Engineers utilize Python to design, implement, and deploy machine learning models. They begin by understanding the problem domain and collecting relevant data. Preprocessing and feature engineering are critical steps to prepare the data for model training. Leveraging Python frameworks like TensorFlow, Keras, or PyTorch, they develop and train various machine learning or deep learning models, iterating to optimize performance. Once a model is finalized, they work on deploying it to production environments, ensuring scalability and real-time performance. Regular model evaluations and updates are essential to maintain accuracy and relevance. Additionally, they collaborate with data engineers to ensure seamless data flow and with software engineers to integrate machine learning functionalities into broader applications. Staying updated with the latest advancements in machine learning and continuously experimenting with new techniques is a hallmark of this role. Machine Learning Engineers in the US earn an average annual salary of $161,000.

Should You Pursue a Certificate or Certification

In the realm of Python and many professional areas, there's a nuanced difference between certifications and certificates. Certifications are formal recognitions by professional bodies, indicating that an individual possesses a certain level of expertise, usually verified through standardized exams. They might also require prerequisites such as training hours or prior experience. Certificates, in contrast, are awarded after completing a specific course or training program, denoting course completion rather than a standardized competence level. While certifications are often backed by professional associations, certificates are typically issued by educational institutions or training providers.

When deciding between a certification or a certificate in Python, consider your career objectives and how each credential is perceived in your target industry. If validating your skills for potential employers is a priority, a widely recognized certification might be more impactful. However, if you aim to acquire knowledge in a structured setting or need foundational training, a course offering a certificate can be advantageous. Both options have merits, so it's essential to select the one that best matches your professional goals and industry requirements.

Top Python Certificate Programs Near Me

Noble Desktop: Python Developer Certificate

Noble Desktop offers an in-depth Python Developer Certificate program designed to impart the foundational and advanced skills necessary for a successful career working with Python. The initial sessions of the course delve into Python fundamentals, covering topics such as syntax, dictionaries, custom functions, and intricate sorting algorithms. As the program progresses, participants will be introduced to the principles of object-oriented programming, integrating with APIs, and managing web databases using SQL. Much of the curriculum is dedicated to working with Django, a renowned Python framework for back-end development, and Django REST, a specialized framework for constructing web APIs. As a culmination of the learning journey, students will assemble a portfolio highlighting the sought-after skills in the developer domain.

This program, consisting of 15 sessions, is available at Noble Desktop's Manhattan campus or, for those who prefer a virtual learning environment, live online sessions via Zoom are also an option. It's noteworthy that prospective participants should have a foundational understanding of coding with HTML and rudimentary CSS. Beyond the standard coursework, students benefit from four individual mentoring sessions where industry experts offer portfolio reviews and impart valuable insights for navigating the professional landscape. Upon successful program completion, participants receive a state-licensed certificate from New York. Noble Desktop also provides the assurance of a complimentary course retake within a year, ensuring that learners have ample opportunities to grasp the material thoroughly.

Noble Desktop: Data Science Certificate

For individuals keen on harnessing the power of Python for data science, Noble Desktop presents its esteemed Data Science Certificate program. This program is a comprehensive gateway for those aspiring to embark on a career in data science and Python engineering. Delivered by seasoned industry professionals, participants will be equipped with the knowledge to proficiently analyze data, craft machine learning models, and generate interactive data visualizations using Python and SQL. The curriculum delves deep into essential Python libraries tailored for data analysis and task automation. Furthermore, learners will construct machine-learning models to address tangible challenges and facilitate enhancements. Using advanced plotting and dashboard libraries such as Matplotlib and Plotly, participants will design vibrant dashboards and data visualizations, thereby crafting impactful real-world projects for their portfolios.

The course provides flexibility, being available as a full-time offering spanning 19 sessions or as a part-time option in the evenings, lasting for 35 sessions. Students have the option of attending these sessions either in person at Noble Desktop's prime location or through live online sessions via Zoom. Beyond the primary 114 hours of immersive instruction, the program also includes six dedicated mentoring sessions. During these sessions, industry specialists offer invaluable portfolio reviews, assistance with intricate class concepts, and strategic guidance for career advancement. In the spirit of comprehensive learning, Noble Desktop extends the benefit of a free retake option, allowing learners to revisit specific modules or classes within a year at no additional cost.

Practical Programming: Python Machine Learning Immersive

Individuals eager to hone their proficiency in machine learning are invited to partake in Practical Programming's Python Machine Learning Immersive, delivered in a virtual format. Machine learning algorithms have increasingly become the cornerstone of many prominent corporations' operations, from influencing trading strategies on major financial avenues to powering product suggestions on platforms like Amazon and Netflix. Through this course, participants will be introduced to the intricate workings of Python's Scikit-learn library, enabling them to develop potent machine-learning algorithms, including logistic regression and random forest. The curriculum meticulously covers the process of data segmentation into training, testing, and cross-validation subsets. It also deepens into pivotal theoretical constructs like overfitting, variance, and bias. Additionally, learners will acquire skills to critically assess the precision of their models and gain insights into choosing the most fitting algorithms tailored to their objectives.

The program is meticulously designed for Python developers, as well as developers versed in other programming languages, who aspire to elevate their expertise in machine learning. It's imperative that attendees have a foundational understanding of Python and its quintessential data science libraries, namely Pandas and NumPy. For those who might find themselves lacking in this prerequisite knowledge, there's an option to enroll in the Python for Data Science Bootcamp, which serves as an ideal precursor to this immersive course. Upon successfully completing the program, participants will be awarded a digital certificate of completion, which can be seamlessly showcased on platforms like LinkedIn.

General Assembly: Python Programming Course

For those who find live instruction more conducive, the Python Programming Course by General Assembly is another option to take online. General Assembly is renowned for its commitment to imparting top-tier technical and business acumen across its various facilities. The Python Programming Course, one of their esteemed offerings, is a meticulously designed program that spans 40 hours and is priced at $4,500. This course promises a deep dive into the world of Python.

The learning journey commences with an introduction to Python's foundational aspects, encompassing its unique syntax and other pivotal skills. As the curriculum unfolds, participants will be acquainted with the art of crafting web applications, data science tools, database management systems, and more, all under the Python umbrella. The progressive nature of the course ensures a steady enhancement of participants' abilities. A significant highlight is the opportunity to undertake real-world projects, allowing learners to amass a robust portfolio. This portfolio not only serves as tangible proof of the skills acquired but also becomes a valuable asset when seeking employment opportunities or when aiming to validate one's proficiency before obtaining certification.

Noble Desktop: FinTech Bootcamp

The FinTech Bootcamp by Noble Desktop is a comprehensive learning endeavor designed to equip participants with the proficiency to harness Python for many financial analysis roles. Python, with its versatile capabilities, has emerged as an indispensable tool in the realm of FinTech. Its flexibility and extensive libraries enable seamless data processing, algorithmic trading, risk management, and other pivotal financial operations.

Under the guidance of adept professionals, learners will experience an intimate classroom setting bolstered by personalized one-on-one mentoring sessions. Spanning 114 hours with an investment of $4,995, the curriculum delves deep into core financial analysis paradigms. Participants will acquaint themselves with machine learning techniques tailored for financial forecasting, delve into the intricacies of automation to streamline financial processes and gain hands-on experience with SQL, simplifying database interactions.

The program further empowers learners to craft and interpret intricate financial statements, hone the art of building predictive financial models, and grasp pivotal graphing methodologies to represent financial data effectively. On successful culmination of the course, attendees are awarded a digital certificate, a testament to their newly acquired skills, which can be prominently showcased on professional platforms. An added advantage of this program is the provision of a complimentary retake within a year of course completion. This ensures that participants can revisit concepts, fortifying their understanding and achieving a profound mastery of the subject matter. Such an immersive learning experience not only augments one's knowledge base but also instills a profound, intuitive grasp of the intricate world of FinTech.

New Horizons: Data Wrangling With Python

New Horizons stands as a premier training institution, offering both in-person and online learning experiences that cater to a global audience. With a focus on expanding one's knowledge horizon, they present a diverse range of Python-centric courses designed to elevate your educational foundation. A notable offering is the Data Wrangling With Python course. This intensive three-day program, priced at $1,785, delves into the intricate art of data management using Python.

The course is not merely an introduction to the Python language; it promises a comprehensive exploration of renowned Python libraries such as NumPy, pandas, and MatPlotLib. Participants will be guided through the process of crafting captivating and professional-grade projects that serve as a testament to their prowess. The hands-on nature of the course ensures that learners amass a robust portfolio, a vital asset when navigating the job market. Additionally, upon successful course completion, attendees are awarded a certificate, a tangible representation of their newly acquired skills.

This learning journey with New Horizons not only paves the way for individuals to distinguish themselves in their professional endeavors but also opens doors to lucrative career opportunities. Mastery of Python, as acquired through this course, extends beyond the realm of data-centric roles, empowering learners to venture into diverse and intriguing domains. The skills honed here are versatile, ensuring that participants are well-equipped to navigate the ever-evolving landscape of technology and innovation.

Top Bootcamp Programs That Include Python

Learn Python as part of a comprehensive program or bootcamp. These programs teach a variety of skills including Python and are typically geared towards preparing you for a new career.

Noble Desktop Python for Data Science Masterclass
In the Python for Data Science Masterclass, students learn both foundational and advanced Python programming skills, including data types, control flow, and object-oriented programming. The curriculum covers data science libraries like NumPy and Pandas for data manipulation and Matplotlib and Seaborn for data visualization. The course also covers advanced techniques such as web scraping, database querying, and using APIs.
Locations:
- NYC
- Live Online
- $2,995
- 60 Hours
- Weekdays, Evenings, or Weekends
- Beginner
- Free Retake
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Noble Desktop Data Analytics Certificate
This course covers the skills needed to become a Data Analyst or Business Analyst, including data analytics fundamentals, visualization with Tableau, using Python to clean and manipulate data, and how to work with relational databases. One-on-one mentoring is included.
Locations:
- NYC
- Live Online
- $4,995
- 156 Hours
- Weekdays or Evenings
- Beginner
- Free Retake
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Noble Desktop Software Engineering Certificate
Become a Software Engineer or Full Stack Developer in this immersive course. Master the front-end using HTML, CSS, JavaScript, and React; build the back-end with Python, Django, and Node.js. You'll also learn Git for version control, Flexbox and Grid for layout, MongoDB for creating data structures, and much more. Throughout the program, you'll build a portfolio of projects to help you secure a career in software and development.
Locations:
- NYC
- Live Online
- $10,995
- 510 Hours
- Weekdays or Evenings
- Beginner
- Free Retake
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General Assembly Data Science Bootcamp (Online)
Learn to problem solve, and effectively communicate, like an analyst. This course teaches you to use industry-standard tools to make ethical, data-driven decisions. Experience hands-on training to master SQL, Excel, Tableau, PowerBI, and Python – tools listed in virtually every data analytics job posting across industries.
Locations:
- Atlanta
- Austin
- Boston
- Charlotte
- Chicago
- Dallas
- Denver
- Detroit
- Houston
- Los Angeles
- Louisville
- Miami
- Minneapolis
- Nashville
- NYC
- Orlando
- Phoenix
- Raleigh
- Salt Lake City
- San Diego
- San Francisco
- Seattle
- St. Louis
- Tampa
- Toronto
- Washington, D.C.
- London
- Live Online
- Melbourne
- Sydney
- Paris
- Singapore
+ 27 more
- $16,450
- 12 Weeks
- Weekdays
- Intermediate
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Noble Desktop Cybersecurity Bootcamp
Become an Information Security Analyst or Cybersecurity Engineer. Gain a technical foundation in Linux, Python, computer networking, AWS, and web application architecture and learn professional cybersecurity tools and solutions.
Locations:
- NYC
- Live Online
- $7,995
- 300 Hours
- Weekdays
- Beginner
- Free Retake
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showing 5 of 32 courses

Python Courses by School

Here are some of the top schools offering Python training, including Noble Desktop (10 courses), Practical Programming (4 courses), and Constructor Academy (2 courses).

Noble Desktop

NYC location: 185 Madison Avenue, New York, NY

Founded in 1990, Noble Desktop offers part-time and full-immersion courses on anything you can think of from design and coding to business. Located in New York City and providing courses both online and in-person, Noble Desktop prides itself on accommodating dynamic courses and bootcamps with hands-on learning, time-tested curriculums, and education from top industry experts.
- Python for Data Science Bootcamp
  - 30 Hours
  - $1,495
- Data Science & AI Certificate
  - 114 Hours
  - $3,995
- Python Machine Learning Bootcamp
  - 30 Hours
  - $1,895
- Python Developer Certificate
  - 138 Hours
  - $4,995
Practical Programming
Locations:
- NYC
- Chicago
- Live Online
Established in both Chicago and New York, Practical Programming offers online and on-site courses in Python, Data Science, Machine Learning, Web Development, JavaScript, Blockchain, and SQL.
- Python Immersive
  - 30 Hours
  - $1,495
- Python for Data Science Immersive
  - 30 Hours
  - $1,495
- Python for Finance Immersive
  - 30 Hours
  - $1,895
- FinTech Bootcamp
  - 60 Hours
  - $2,995
University of San Diego Tech Bootcamps

San Diego location: 5998 Alcala Park, San Diego, CA

University of San Diego Tech Bootcamps are immersive programs preparing students for careers in tech. Students can take classes in coding or cybersecurity, developing beginner to advanced skills in web development. The University of San Diego has partnered with Fullstack Academy to power its tech bootcamps.
- Online AI & Machine Learning Bootcamp
  - 26 Weeks
  - $14,495
The Tech Bootcamps at UNF

Jacksonville location: 12000 Alumni Dr, Jacksonville, FL

The Tech Bootcamps at the University of North Florida offers 26-week part-time programs in cybersecurity and coding in Jacksonville, Florida. The bootcamps are offered through the Division of Continuing Education in partnership with Fullstack Academy.
- Online AI & Machine Learning Bootcamp
  - 26 Weeks
  - $14,495
University of Oklahoma College of Continuing Education

Tulsa location: 1700 Asp Avenue, Norman, OK

The University of Oklahoma College of Continuing Education, in collaboration with Fullstack Academy, offers a range of tech bootcamps, delivering intensive, immersive learning experiences in a live online format taught by industry-experienced instructors. This esteemed institution is renowned for its commitment to providing accessible, high-quality education, enabling students to enhance their skills and knowledge in cutting-edge technology fields while balancing other life commitments.
- Online AI & Machine Learning Bootcamp
  - 26 Weeks
  - $14,495
Louisiana State University

Baton Rouge location: 494 E. Parker Blvd, Baton Rouge, LA

Louisiana State University, set in the vibrant city of Baton Rouge, is distinguished for its comprehensive educational offerings and a strong emphasis on research. The university has expanded its educational horizon by partnering with Fullstack Academy to offer technology-focused bootcamps.
- Online AI & Machine Learning Bootcamp
  - 26 Weeks
  - $14,495
University of San Diego

Founded in 1949, the University of San Diego (USD) is a university in San Diego, California, known for its comprehensive undergraduate and graduate programs, including law and engineering, and its unique architecture. The campus is recognized for its commitment to sustainability and various eco-friendly initiatives.
- Online AI & Machine Learning Bootcamp
  - 26 Weeks
  - $14,495
The University of Texas at Dallas

Dallas location: 800 W Campbell Rd, Richardson, TX

The University of Texas at Dallas (UT Dallas) is renowned for its research initiatives and comprehensive academic programs, especially in engineering, computer science, and business. The university fosters a vibrant learning environment, attracting students from various backgrounds.
- Online AI & Machine Learning Bootcamp
  - 26 Weeks
  - $14,495
University of Michigan

Detroit location: 500 S State St, Ann Arbor, MI

The University of Michigan, renowned for its academic excellence and innovative research, is a top-tier public university located in Ann Arbor, Michigan. It offers a diverse array of undergraduate and graduate programs across various fields.
- Online AI & Machine Learning Bootcamp
  - 26 Weeks
  - $14,495
Virginia Tech

Virginia Tech, situated in Blacksburg, Virginia, stands out for its robust engineering and computer sciences programs, fostering innovation and research. It is committed to providing hands-on educational experiences that prepare students for real-world challenges.
- Online AI & Machine Learning Bootcamp
  - 26 Weeks
  - $14,495

showing 10 of 23 schools

Python
Corporate & Onsite Training

Upskill or reskill your workforce with our industry-leading corporate and onsite Python training programs. Conduct the training onsite at your location or live online from anywhere. You can also purchase vouchers for our public enrollment Python courses.

Careers & Salaries Related to Python

Learning Python sets you up for meaningful work in two specific fields: development and data. Developers focus on building websites or software and use Python and its frameworks to build both the front and back end of websites. Data careers rely on Python to analyze data, make predictions and valuable insights, and build data systems.

Python is one of the core skills needed to secure one of these positions. See the career pages for more information on required skills, tips for landing a job, typical day-to-day work, and where to find job postings.

Top Certificate Programs

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Top Certificate Programs

Top Certificate Programs

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Top Certificate Programs

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Python for Data Science Bootcamp Learn The Skills Guarantee™

Key Insights

Learn More About Python Certificates

What is Python?

Why Become Certified in Python?

What You’ll Learn While Becoming Python Certified

Web Development

Data Science

FinTech

Machine Learning

Artificial Intelligence

Python Industries

Python Careers

Should You Pursue a Certificate or Certification

Top Python Certificate Programs Near Me

Noble Desktop: Python Developer Certificate

Noble Desktop: Data Science Certificate

Practical Programming: Python Machine Learning Immersive

Noble Desktop: FinTech Bootcamp

New Horizons: Data Wrangling With Python

Top Bootcamp Programs That Include Python

Python Courses by School

Python Immersive

Python for Data Science Immersive

Python for Finance Immersive

FinTech Bootcamp

Online AI & Machine Learning Bootcamp

Online AI & Machine Learning Bootcamp

University of Oklahoma College of Continuing Education

Online AI & Machine Learning Bootcamp

Louisiana State University

Online AI & Machine Learning Bootcamp

University of San Diego

Online AI & Machine Learning Bootcamp

The University of Texas at Dallas

Online AI & Machine Learning Bootcamp

University of Michigan

Online AI & Machine Learning Bootcamp

Virginia Tech

Online AI & Machine Learning Bootcamp

Python Corporate & Onsite Training Noble Desktop

Python Training Map & Top Locations

24 Certificate Courses Available Live Online

19 Certificate Courses Available in NYC

6 Certificate Courses Available in Chicago

4 Certificate Courses Available in Dallas

3 Certificate Courses Available in San Diego

2 Certificate Courses Available in Houston

2 Certificate Courses Available in Los Angeles

1 Certificate Course Available in Atlanta

1 Certificate Course Available in Boston

1 Certificate Course Available in Charlotte

1 Certificate Course Available in Denver

1 Certificate Course Available in Miami

1 Certificate Course Available in Minneapolis

1 Certificate Course Available in Orlando

1 Certificate Course Available in Philadelphia

1 Certificate Course Available in Phoenix

1 Certificate Course Available in San Francisco

1 Certificate Course Available in Seattle

1 Certificate Course Available in St. Louis

1 Certificate Course Available in Tampa

1 Certificate Course Available in Washington, D.C.

1 Certificate Course Available in NJ

Careers & Salaries Related to Python

Related Classes

Python
Corporate & Onsite Training