Top St. Louis Data Science Courses

Find the perfect Data Science class for you in St. Louis. We’ve found 18 courses available in-person or live online with class duration ranging from 14 hours to 24 weeks and pricing ranging from $495 to $16,450.

  • General Assembly Data Science Immersive

    This data science program is designed to help individuals with a math background and some familiarity with Python programming bolster their skills and get up to speed and launch their data career. Through their blended learning model, students will be able to hone their data skills through fundamental preparatory work, in-class project work, and though the support of a devoted career coach. Students in this course will start their data science journeys by learning fundamental concepts around Python programming and leveraging programming tools like GitHub. As the course progresses, students will explore additional programming concepts like NumPy, utilizing Unix commands, using Pandas to clean and extract data, and web scraping tools. The course also covers statistical modeling and regressions, machine learning models, NLP, and a few other advanced topics and trends that are helpful to data scientists of all levels.

    In-person in St. Louis (location TBD) Also available online
    • $16,450
    • 12 Weeks
    • Weekdays
    • Intermediate
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  • General Assembly Data Science Course

    This data science course is a 10-week, part-time program for individuals with backgrounds in programming or a quantitative field. Utilizing a hands-on approach, students learn by doing to build vibrant skills that are essential in any field that leverages big data. The course curriculum centers around Python programming and data exploration, data modeling, and machine learning. Graduates of the Data Science course will be able to showcase their strong understanding of Python programming and applied statistics through their capstone projects, which are also a great springboard to a career in data science.

    In-person in St. Louis (location TBD) Also available online
    • $4,500
    • 60 Hours
    • Weekdays or Evenings
    • Intermediate
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  • General Assembly Data Analytics Course

    This data analytics course is a 40-hour in-person or online program for individuals with no prior experience with data analytics. Utilizing a hands-on approach, students learn by doing in order to build vital and dynamic skills that are applicable in a wide range of industries. The course curriculum centers around the core processes all data analysts must know, including data collection, cleaning, analyzing, and data visualization best practices. Students also come away with hands-on experience using some of the most common tools in the industry, including Microsoft Excel, SQL, and Tableau. By the end of the course, students will have a better understanding of how to gain insights from data and feel more prepared for a possible career in data analytics.

    In-person in St. Louis (location TBD) Also available online
    • $4,500
    • 40 Hours
    • Weekdays or Evenings
    • Beginner
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  • Practical Programming Part-Time Data Science Bootcamp

    In this part-time bootcamp, students learn necessary programming skills to manipulate databases and perform various levels of analysis on the data. This program prepares students for entry-level data science and Python engineering positions.

    Available live online (virtual training) from anywhere
    • $3,195
    • 72 Hours
    • See provider
    • Beginner
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  • WashU Boot Camps Data Analytics Boot Camp

    This program provides a comprehensive foundation in data analytics in 24-weeks. This course covers the fundamentals of statistics, Python, Tableau, SQL, and HTML/CSS. Graduates of this program will have a robust professional portfolio to get them started in their careers.

    In-person @ 1 Brookings Dr, St. Louis, MO
    • $12,245
    • 24 Weeks, 10 hr/wk
    • See provider
    • Beginner
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  • New Horizons SQL Querying Fundamentals - Part 1

    This course teaches the fundamentals of SQL querying. This 1-day program teaches students how to execute a simple query, perform a conditional search, work with functions, and organize data. Further, students will learn how to retrieve data from multiple sources and export query results via a text or XML file.

    In-person @ 2122 Kratky Rd, St. Louis, MO
    • $495
    • 1 Day
    • Weekdays
    • Beginner
    • Free Retake
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  • New Horizons SQL Querying Fundamentals - Part 2

    This 1-day course builds on the fundamentals of SQL querying. This intermediate program teaches advanced querying techniques. The coursework will cover the use of subqueries to perform advanced querying, manipulating table data and table structure. Students will learn how to work with views, index data and manage transactions.

    In-person @ 2122 Kratky Rd, St. Louis, MO
    • $495
    • 1 Day
    • Weekdays
    • Intermediate
    • Free Retake
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  • New Horizons Introduction to SQL Databases

    This 3-day introductory course teaches the basics of SQL databases. Through the use of labs and lectures, students will learn the fundamentals of data modeling, the use of relational databases, and the normalization of raw data. Students will also learn how to design relationships, evaluate query performance, and use stored procedures.

    In-person @ 2122 Kratky Rd, St. Louis, MO
    • $1,785
    • 3 Days
    • Weekdays
    • Beginner
    • Free Retake
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  • New Horizons Using Data Science Tools in Python

    This 2-day 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 Numpy Arrays, pandas, and MATPLOTLIB to perform data analysis and create data visualizations. This intensive course is meant to quickly get beginners in Python up to speed on performing data analysis and visualization in Python.

    In-person @ 2122 Kratky Rd, St. Louis, MO
    • $1,198
    • 2 Days
    • Weekdays
    • Advanced
    • 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.

    Available live online (virtual training) from anywhere
    • $1,495
    • 30 Hours
    • Weekdays
    • Beginner
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