Top Live Online Python Data Science Courses

Find the perfect Python Data Science class for you available live online. We’ve found 20 courses available via remote learning with class duration ranging from 6 hours to 10 weeks and pricing ranging from $425 to $12,995.

  • Noble Desktop Data Science Certificate

    In this comprehensive data science program, individuals will learn a variety of critical skills to become a data scientist. Students will learn to code with Python, create machine learning models, automate tasks like web scraping, and interact with databases using SQL. Topics include data analysis with Python's Numpy and Pandas packages, data visualization, predictive analytics, machine learning, SQL querying, Python automation, and web scraping. Students will learn hands-on by working in Python and SQL and will complete the program with the skills they need to enter the field of data science. This program offers flexible scheduling and provides a free retake for students to refresh the material.

    • $3,495
    • 84 Hours
    • Weekdays or Evenings
    • Beginner
    • Free Retake
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  • Noble Desktop FinTech Bootcamp

    In this 102-hour FinTech Bootcamp, participants learn how to use Python for financial analysis, machine learning and automation, and SQL. The program is taught by seasoned finance and data science professionals. Students will develop the ability to analyze financial statements, build predictive models, and work with databases. By the end of this course, newly-hired financial analysts will be prepared to succeed on the job, and aspiring financial analysts will have bolstered their resumes and technical interview skills. This course offers a free retake so students can refresh the material. It also includes one-on-one mentoring sessions.

    • $4,495
    • 102 Hours
    • Weekdays, Evenings, or Weekends
    • Beginner
    • Free Retake
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  • Noble Desktop Python for Data Science Bootcamp

    In this data science bootcamp, students will build programming skills and data analysis skills using Python. This course is open to beginners and is meant to get individuals up and running with Python programming and data science to generate insights from data. Topics covered include programming fundamentals, working with data frames, data analysis, data visualization, and statistical analysis. This course offers flexible scheduling options and a free retake for students to refresh the materials.

    • $1,495
    • 30 Hours
    • Weekdays, Evenings, or Weekends
    • Beginner
    • Free Retake
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  • Noble Desktop Python Machine Learning Bootcamp

    In this 18-hour course, students expand their Python programming skills into machine learning and algorithms that can independently learn patterns and make decisions. The course begins with linear and logistic regressions, the most time-tested and reliable tools for approaching a machine learning problem. Students then progress to algorithms with a different theoretical basis, such as k-nearest neighbors, decision trees, and random forest. This will bring important statistical concepts to the forefront, such as bias, variance, and overfitting. Participants also learn how to measure the accuracy of your models, as well as tips for choosing effective features and algorithms.

    • $1,895
    • 30 Hours
    • Weekdays
    • Intermediate
    • Free Retake
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  • Noble Desktop Python for Automation

    In this Python automation course, students will learn to automate tasks using Python for various applications. This course is meant for those with prior Python experience looking to learn automation techniques like scheduling programs, updating spreadsheets, and web scraping. Topics include HTML and CSS basics, web scraping techniques, working with spreadsheets using Python, and scheduling scripts. This course offers flexible scheduling options plus a free retake for students to refresh the material.

    • $425
    • 6 Hours
    • Weekdays or Evenings
    • Intermediate
    • Free Retake
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  • Practical Programming Python for Data Science Immersive

    This 1-week data analytics course provides a deep-dive into using Python for data analysis. Students will get comfortable with the basics of Python programming and start working with critical data analysis libraries like Numpy, Pandas, and Matplotlib to perform data analysis and create data visualizations. This 35 hour intensive is meant to quickly get beginners in Python up to speed on performing data analysis and visualization in Python.

    • $1,495
    • 30 Hours
    • Weekdays
    • Beginner
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  • NYC Data Science Academy Data Science with Python: Data Analysis and Visualization

    This data science with Python course is for people with a basic knowledge of programming with Python. This comprehensive course will explain how to work with some of the most widely-used data analysis and visualization modules, such as Pandas, matplotlib, Numpy, Scipy, and more. The course will begin with a review of the basic syntax and data structures of Python before moving on to object-oriented programming, scientific computation, and data visualization. The final unit will teach you how to manipulate data with Pandas before you complete a final project.

    • $1,590
    • 5 Weeks, 4 hr/wk
    • Weekends
    • Beginner
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  • Noble Desktop Python for Finance Bootcamp

    Upskill and take your finance skills to the next level with this Python for Finance class. You'll learn to analyze large amounts of financial data using Python, create visualizations, and start using statistics for predictive modeling. 

    • $1,295
    • 18 Hours
    • Weekdays, Evenings, or Weekends
    • Beginner
    • Free Retake
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  • Noble Desktop Algorithmic Trading with Python

    As people get busier and busier, we want to automate as much as we can day to day including our investments and trading strategies. Using Python, students can learn how to build robust and automated trading strategies without needing to spend hours a day overseeing their portfolio. In the first half of the course, students will learn how to connect their Python scripts with an online trading brokerage. After connecting to a brokerage firm, students will learn how to place and query stock orders. After students feel comfortable placing basic orders, we will introduce trading strategies such as exponential moving average (EMA), Moving Average Convergence Divergence (MACD), and backtesting strategies. After learning these strategies, students will be introduced to Machine learning as it applies to properly value an Option.

    • $895
    • 12 Hours
    • Weekdays, Evenings, or Weekends
    • Intermediate
    • Free Retake
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  • Noble Desktop Python Data Science & Machine Learning Certificate

    This comprehensive Python course teaches beginners how to code, analyze data, and create machine learning models with Python. Students will start with the basics of programming in Python and build up their data skills on their way to learning machine learning and automation. Topics include programming fundamentals, data analysis, data visualization, machine learning, automation, and web scraping. This course offers flexible scheduling options and provides a free retake so students can refresh the material.

    • $2,995
    • 66 Hours
    • Weekdays, Evenings, or Weekends
    • Beginner
    • Free Retake
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  • NextGen Bootcamp Python Summer Course Level 1

    This 2-week summer course for high school and college students dives into Python programming and its applications in data science. After they master some Python fundamentals, students move onto more advanced topics. Using platforms like Matplotlib, Pandas, and scikit-learn, students learn how to input, graph, and analyze data. This course gives attendees a head start on the most popular and versatile programming language and the fundamentals for a career as a data scientist or analyst.

    • $1,999
    • 45 Hours
    • Weekdays
    • Beginner
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  • NextGen Bootcamp Python Machine Learning Summer Course (Level 2)

    This 2-week advanced Python course helps high school or college students expand their Python programming skills to machine learning and automation. This course breathes life into industry buzzwords like automation and machine learning, so students can meaningfully contribute to large and small organizations. Once participants master tools like logistic and linear regression, students learn more advanced topics, including algorithms with k-nearest neighbor, decision tree, and random forest algorithms. As a result, students quickly master sought-after skills such as variance, bias, fitting, and other statistical concepts.

    • $1,299
    • 30 Hours
    • Weekdays
    • Advanced
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