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Python Data Science Classes Near Me

Best In-Person & Virtual Courses

Python data science refers to the use of the dynamic, general-purpose coding language Python for analysis, visualization, and machine learning in the domain of data science. It is used by many professionals, including Data Scientists, Data Analysts, Machine Learning Engineers, and Business Intelligence Developers. Learning Python for data science opens doors to high-demand professions and enhances problem-solving skills. Additionally, Python's vast libraries and packages deal with large datasets and perform complex mathematical computations.

Top In-Person & Virtual Python Data Science Classes

Python Data Science Courses at Noble Desktop

Noble Desktop is a leading design and coding school in New York City. Founded in 1990, Noble Desktop offers hands-on classes and certificate programs in web design & development, graphic design, motion graphics, data science, UX, and digital marketing. Emphasizing a practical, hands-on learning approach, Noble Desktop provides students with the necessary skills to jumpstart their careers in the dynamic fields of digital design, programming, data science, and online marketing, among others. Noble Desktop offers career-support services for students and all of its classes are available in person or through live online instruction.

Python Data Science & Machine Learning Certificate

  • Price: $3,495
  • Duration: hours
  • Locations: NYC, Live Online

The Python Data Science & Machine Learning Certificate program at Noble Desktop provides students with comprehensive knowledge on how to use Python for data analysis, machine learning, and AI. The course delves into various topics, including data science libraries such as Numpy, Pandas, and Sci-kit Learn, as well as data visualization with Matplotlib and interactive dashboards with Plotly and Dash. By the end of the program, students will have developed a strong foundation for delving into the field of data science and machine learning.

Python for Data Science Bootcamp

  • Price: $1,495
  • Duration: 30 hours
  • Locations: NYC, Live Online

In the Python for Data Science Bootcamp at Noble Desktop students receive practical, hands-on training in Python. In this class, students master essential libraries like Pandas and Scikit-learn, manipulate data frames, create visual representations with Matplotlib, and fully understand the power and versatility of Python's functionality.

Python for Finance Bootcamp

  • Price: $1,295
  • Duration: 18 hours
  • Locations: NYC, Live Online

The Python for Finance Bootcamp at Noble Desktop provides practical, hands-on training on utilizing Python for financial analysis, machine learning, and algorithmic trading, among other finance-based applications. Students gain proficiency in widespread industry tools like Python, NumPy, and Pandas, which are integral to data cleansing, manipulation, and analysis in the finance sector.

Algorithmic Trading with Python

  • Price: $895
  • Duration: 12 hours
  • Locations: NYC, Live Online

The Algorithmic Trading with Python course at Noble Desktop equips students with the skills to create, test, and implement trading algorithms using Python's data analysis libraries and financial data from the web. Across 30 hours of instruction, learners delve into concepts like analyzing SMA crossover, ADF tests, and Mean Reversion Strategy, culminating in the creation of a real project to showcase their newfound knowledge and skills.

Python for Automation

  • Price: $425
  • Duration: 6 hours
  • Locations: NYC, Live Online

The Python for Automation course at Noble Desktop covers how to simplify repetitive tasks and processes using Python's automation capabilities. Students learn to harness Python's power to manage data, utilize conditional statements and loops, and work with files and directories to create efficient, automated workflow systems.

Python Data Science Courses at Practical Programming

Practical Programming is a dynamic technology training provider designed to equip students with valuable coding skills. By participating in these classes, students can delve into the intricate world of Python, data science, machine learning, and web development, thus propelling their technical understanding to greater heights and opening the door to a range of high-paying career opportunities. All of the courses offered by Practical Programming are hands-on, career-focused learning experiences that aim to teach students practical, real-world coding and technology skills.

Python for Data Science Immersive

  • Price: $1,495
  • Duration: 30 hours
  • Locations: Chicago, NYC, Live Online

Practical Programming's Python for Data Science Immersive course offers in-person and live online classes that equip students with skills to analyze and visualize data using Python's data science libraries. The curriculum covers topics from Python's basics to machine learning, ensuring students learn exploratory data analysis, data cleaning, feature extraction and selection, model building, and interpretation.

Python for Automation

  • Price: $425
  • Duration: 6 hours
  • Locations: Chicago, NYC, Live Online

In Practical Programming's Python for Automation course, students delve into Python's power to automate routine and repetitive tasks, saving effort and time. By exploring modules like OS, CSV, and Pandas, students learn to organize files, work with spreadsheets and databases, automate browser tasks, send emails, and read and write data effortlessly.

Python Data Science Courses at NYC Data Science Academy

NYC Data Science Academy is a premier educational institution where students immerse themselves in a comprehensive curriculum designed specifically for data science. It offers a robust learning environment where budding data scientists garner in-depth comprehension of various aspects of data science. Topics span from intricate programming languages like Python and R to complex data structures, allowing students to adeptly manipulate, analyze, and interpret massive data sets.

Data Science with Python: Data Analysis and Visualization

  • Price: $1,590
  • Duration: 5 weeks
  • Locations: Several (see school website)

In the Data Science with Python: Data Analysis and Visualization class, students delve deeply into the Python language to explore its capacities in data science, concentrating on data analysis and visualization. Acquiring proficiency in several essential libraries such as NumPy, Pandas, Matplotlib, Seaborn, and several others, students will learn to manipulate and visualize data sets using Python.

Python Data Science Courses at NextGen Bootcamp

NextGen Bootcamp, a highly regarded tech education school, provides a robust and practical learning experience for high school students keen on acquiring tech-based skills. With courses spanning coding, software development, data science, and more, NextGen Bootcamp crafts an engaging and comprehensive learning environment where students hone their skills under the tutorship of seasoned professionals. NextGen courses are ideal places for students to spend their summer learning valuable skills that will assist them in their college computer science and design courses or in their professional lives.

Python Data Science & Machine Learning Summer Program

  • Price: $2,495
  • Duration: 50 hours
  • Locations: NYC, Live Online

The Python Data Science & Machine Learning Summer Program at NextGen Bootcamp delves into the essential topics of data science, including core Python concepts, data manipulation with Pandas, basic statistics, and machine learning models. Students will also gain experience with hands-on projects using real-world data sets, allowing them to explore predictive analytics, decision-making tools, and AI firsthand while gaining tangible skills in Python for professional or academic advancement.

Python Data Science & Machine Learning Summer Program Online

  • Price: $1,999
  • Duration: 45 hours
  • Locations: Live Online

The Python Data Science & Machine Learning Summer Program at NextGen Bootcamp is an intensive online course designed to introduce young learners to the world of programming, statistics, and data science using the Python programming language. Learners will acquire hands-on experience in machine learning and data visualization through projects while gaining a strong understanding of fundamental data science and programming concepts, such as loops, functions, lists, and dictionaries.

Python Data Science Courses at UCLA Extension

UCLA Extension is an esteemed program dedicated to professional development and personal growth within the University of California, Los Angeles community. Offering a wide array of dynamic courses in business, arts, engineering, public health, and more, UCLA Extension encourages students to enrich their professional knowledge, explore new interests, and stay ahead of emerging trends in their respective fields.

Data Analysis Using Python

  • Price: $995
  • Duration: 10 weeks
  • Locations: Several (see school website)

The Data Analysis Using Python class at UCLA Extension provides students with an understanding of Python data analysis techniques. Students learn basic to intermediate scripting with Python, data manipulation and cleaning, exploratory data analysis, data visualization, introductory machine learning, and interpreting data analytics for decision-making.

Python Data Science Courses at The Academy

The Academy is a comprehensive educational institution dedicated to providing top-notch learning experiences in various fields of study. Students have the opportunity to explore a wide range of courses, from tech-driven subjects like coding and web development to traditional disciplines such as humanities and social sciences, all delivered by industry professionals with a keen focus on applied learning and skill development.

Python for Data Science: Panda, NumPy and Matplotlib

  • Price: $995
  • Duration: 2 days
  • Locations: Miami

The Python for Data Science: Panda, NumPy and Matplotlib course focuses on core Python libraries for data analysis: Pandas, NumPy, and Matplotlib. The course meticulously covers important operations in data wrangling, preprocessing, and visualizing, enabling students to comfortably handle real-world data science tasks.

Python For Data Science: Jupyter Notebooks

  • Price: $495
  • Duration: 1 day
  • Locations: Miami

The Python for Data Science: Jupyter Notebooks class from The Academy teaches the essential skills of utilizing Python for data science, manipulation, and visualization using the versatile platform of Jupyter Notebooks. Delving into areas like statistical operations, image processing, machine learning algorithms, and time series analysis, this class prepares students to manage and analyze big data effectively.

Python Data Science Courses at Georgetown School of Continuing Studies

Housed in the heart of Washington D.C., the Georgetown School of Continuing Studies offers a vibrant learning community where students can scale new heights in their respective careers. Here, students can pursue a wide array of programs that range from professional certificates, bachelor's and master's degrees, to more custom offerings in numerous fields such as leadership, real estate, technology, and business. These classes empower students to keep pace with the ever-changing world and meet the evolving demands of their industries.

Python Basics for Data Analysis

  • Price: $495
  • Duration: 12 hours
  • Locations: Several (see school website)

The Python Basics for Data Analysis class is a comprehensive course offered at Georgetown University that empowers students with essential skills needed to conduct robust and insightful data analyses. Through this course, students learn to use the Python programming language for data manipulation and exploration. They also learn how to apply various statistical techniques and visualization methods to create meaningful data narratives.

Python Data Science Courses at University of Sydney Centre for Continuing Education

The University of Sydney Centre for Continuing Education offers a myriad of learning opportunities for anyone looking to build their skills or widen their knowledge. With an exceptional range of courses from languages, arts, business, lifestyle, and more, students get a chance to delve into new interests, upgrade their professional skills, or even kick-start a new career path.

Python Programming 1B: Data Analytics

  • Price: $420
  • Duration: 8 hours
  • Locations: Several (see school website)

The Python Programming 1B: Data Analytics course at the University of Sydney Centre for Continuing Education is an intermediate-level program that equips learners with the essential skills needed to use Python for data analysis and visualization. The course specifically covers data manipulation with Pandas, data visualization using Matplotlib and Seaborn, and essential statistical analysis methods, preparing students for practical applications in various sectors and fields.

Python Data Science Courses at The University of New Mexico Division of Continuing Education

The University of New Mexico Division of Continuing Education allows students to pursue advancement in their careers through lifelong learning programs. Whether desiring to learn a new skill, enhance existing knowledge, or seek professional recertification, learners can choose from courses in topics such as business, technology, health, and the arts.

Introduction to Python for Data Science

  • Price: $999
  • Duration: 30 hours
  • Locations: Several (see school website)

The Introduction to Python for Data Science course offered by The University of New Mexico Division of Continuing Education teaches students how to use Python to implement programs, manipulate data, and carry out complex data analyses. This class provides students with a foundational skill set for a career in data science.

Python Data Science Courses at WeCloudData

WeCloudData is a dynamic institution known for offering practical, industry-oriented courses in data science, data engineering, and data analysis. Through WeCloudData’s courses, students acquire in-demand skills such as machine learning, big data technologies, predictive modeling, and programming while benefiting from experienced instructors, comprehensive curriculums, and valuable industry connections.

Data Science with Python

  • Price: $2,500
  • Duration: 5 weeks
  • Locations: Live Online

The Data Science with Python course at WeCloudData proficiently introduces students to the vast world of data science through the lens of the Python programming language. Throughout this course, pupils gain a comprehensive understanding of fundamental technologies such as Python, Pandas, Numpy, and Matplotlib, and they also delve into advanced data analysis techniques like web scraping, machine learning, and big data processing.

Python Data Science Courses at The Knowledge Academy

The Knowledge Academy is a comprehensive educational platform designed to equip students with a diverse range of professional and technical skills. Known for its versatility, The Knowledge Academy offers a variety of courses ranging from project management and IT service management to cyber security and data protection.

Python Data Science Training

  • Price: $3,495
  • Duration: 3 days
  • Locations: Several (see school website)

The Python Data Science Training course offered by The Knowledge Academy is a 5-day comprehensive program that gives learners in-depth knowledge on how to manipulate, analyze, and visualize data using Python's popular libraries such as NumPy, Pandas, Seaborn, Matplotlib, and Scikit-learn. Students also gain practical learning experience through exercises on data mining, data structures, data visualization, statistics, machine learning, and predictive modeling.

Key Information about Learning Python Data Science

Learning Python data science introduces individuals to numerous topics, including statistical analysis, data visualization, machine learning algorithms, and programming languages like Python and R. Python data science is an accessible field to beginners, although as with any complex subject, it can be challenging and requires patience and practice. On average, it takes about 3-6 months to get comfortable with the basics of Python data science. This duration largely depends on the individual's dedication, previous coding experience, and method of learning. Having a solid foundation in basic algebra, statistics, and preferably some exposure to programming, can make it easier to learn Python data science. Prior to starting, it is necessary to install Python, Jupyter Notebook, and libraries such as Pandas and NumPy.

Career Paths & Job Outlook for Python Data Science

Python is used in multiple data science careers. The way it is used depends on a position’s job responsibilities. For example, a Data Analyst may use Python for data cleaning and analysis, whereas a Machine Learning Engineer may use Python libraries such as Pandas and Scikit-learn to build and deploy predictive models.

According to a recent study by Analytics Insight, Python is the most popular language used by 66% of data scientists. The U.S Bureau of Labor Statistics (BLS) projects that job opportunities for Data Scientists will grow by 21% from 2021 to 2031. According to ZipRecruiter, an entry-level Data Scientist earns an average annual salary of around $70,000 in the US. More experienced Data Scientists can expect an average annual salary of around $115,000, according to Glassdoor

What Can You Do With Python Data Science?

Python is a versatile language that is widely used in data science. A Python Data Scientist can leverage various tools, libraries, frameworks, and skills to create a wealth of outputs. For instance, they can use libraries such as Pandas for data analysis and management, Numpy for numerical computation, or Matplotlib and Seaborn for data visualization. These libraries allow them to analyze and visualize complex datasets, creating insightful graphs and plots that can guide decision-making. 

Data Scientists can also use frameworks like Scikit-learn to perform machine learning, where they can develop predictive models from their data. They might, for example, build a regression model to predict future sales trends based on historical data, or a classification model to predict customer churn. 

Python Data Scientists might use the Natural Language Processing Library (NLTK) to analyze text data. For instance, they could conduct sentiment analysis on social media posts to gauge an audience’s opinions on a particular product, or they could do topic modeling to summarize large bodies of text. 

By leveraging Jupyter Notebooks, Data Scientists can create interactive documents that combine code, text, and visuals. This tool is particularly valuable for communicating findings to non-technical stakeholders as it enables clear, understandable reports. 

Lastly, Python Data Scientists often employ Tensorflow and Keras for deep learning tasks, such as image recognition or natural language processing. 

Top Python Data Science Tools For Beginners

  1. Python: Python is a powerful general-purpose programming language. It is simple and easy to learn, thus perfect for beginners. It is used extensively in data science because of its powerful libraries and packages, which make data processing and manipulation easier.
  2. Jupyter Notebook: Jupyter Notebook is an open-source web application that allows the creation and sharing of documents that contain code, visualization, and narrative text. It's perfect for data cleaning, statistical modeling, data visualization, machine learning, etc.
  3. NumPy: NumPy is a Python programming library that adds support for large, multi-dimensional arrays and matrices. It also supports a large collection of high-level mathematical functions to operate on these arrays. NumPy is best for mathematical computations.
  4. Pandas: Pandas is a data analysis manipulation tool built on top of Python. It offers data operations and structures for manipulating numerical tables and time series data.
  5. Matplotlib: This is a data visualization tool that allows creation of graphs, pie charts, and histograms in Python. It provides an object-oriented API for embedding plots into applications.
  6. Seaborn: Seaborn is another data visualization tool based on Matplotlib but which offers a better default aesthetic sense.
  7. Scikit-Learn: Scikit-Learn is a Python machine learning library built on NumPy, SciPy, and Matplotlib. It is useful for classification, regression, clustering, dimensionality reduction, model selection, and more.
  8. SciPy: SciPy is a scientific computation library that builds on NumPy. It is used for technical and scientific computations, including Fourier transformation, optimization algorithms, signal and image processing, etc.
  9. TensorFlow: TensorFlow is a free, open-source software library for artificial intelligence and machine learning. It can be used for both research and production at Google.
  10. Keras: Keras is an open-source software library for neural networks in Python. It's known for being minimalist, modular, and easy to understand. It's built on top of TensorFlow, Theano, or CNTK, and allows for fast and easy prototyping.

Python Data Science Comparison to Other Tools & Fields

Users of Python for data science often also delve into machine learning, deep learning, artificial intelligence, and big data technologies. Machine learning and deep learning involve creating and using algorithms that allow computers to learn from data. These fields utilize Python extensively due to its simplicity and wide range of scientific libraries like NumPy, Pandas, and Scikit-Learn. Big data technologies such as Apache Hadoop and Spark can also be used with Python to process and analyze large datasets, which is a common task in data science. However, these technologies involve the use of distributed computing, making them quite different from traditional Python scripting.

Python Data Science Advantages

Python data science offers more simplified and readable code, which makes it easy for data scientists to perform complex analyses with minimal coding. Its extensive range of libraries and tools specifically designed for data science, such as Pandas, NumPy, SciPy, and Scikit-learn, improves efficiency and effectiveness in data manipulation and analysis. Moreover, the strong community of Python users and developers ensures continuous improvements in tools and techniques and provides ample opportunities for learning and troubleshooting.

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