Thankfully we have 257 other Tech Classes for you to choose from. Check our top choices below or see all classes for more options.
NYC Career Centers See all classes by this school @ 185 Madison Ave, New York, NY & Virtually Online
Achieve a comprehensive command of Microsoft Excel in this focused, three-day bootcamp. Working from foundational skills through advanced spreadsheet techniques and macro-based automation, you'll develop the depth and fluency needed to handle virtually any data task. An intensive and effective path to becoming a confident, capable Excel user.
Nov 2nd
6–9pm ET
Meets 6 Times
Nov 9th
10am–5pm ET
Meets 3 Times
Nov 30th
10am–5pm ET
Meets 3 Times
Dec 15th
10am–5pm ET
Meets 3 Times
Dec 21st
10am–5pm ET
Meets 3 Times
This class has 53 more dates.
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Noble Desktop See all classes by this school @ 185 Madison Ave, New York, NY & Virtually Online
Develop professional-level proficiency with Adobe Creative Cloud applications alongside core graphic design concepts, to produce polished, contemporary work. Students build an impressive portfolio throughout the course, creating a body of work that demonstrates their skills to potential clients and employers.
Nov 30th
10am–5pm ET
Meets 14 Times
This class has 9 more dates.
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NYC Career Centers See all classes by this school @ 185 Madison Ave, New York, NY & Virtually Online
Build expertise in extracting actionable insights from databases with the SQL Bootcamp. Learn Microsoft SQL Server, join tables, aggregate data, and filter results through this hands-on course. Develop the skills to turn raw data into valuable insights for decision-making in any industry.
Nov 15th
10am–5pm ET
Meets 3 Times
Nov 23rd
10am–5pm ET
Meets 3 Times
Dec 14th
10am–5pm ET
Meets 3 Times
This class has 10 more dates.
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Noble Desktop See all classes by this school @ 185 Madison Ave, New York, NY & Virtually Online
Tap into the power of Python for analyzing real-world data sets in this hands-on course at Noble Desktop. Step into Python fundamentals and learn how to create programs, work with data, visualize insights, and build machine learning models. Lift your data science skills with the Python for Data Science Bootcamp.
Nov 2nd
10am–5pm ET
Meets 5 Times
Nov 17th
6–9pm ET
Meets 10 Times
Nov 30th
10am–5pm ET
Meets 5 Times
Dec 13th
10am–5pm ET
Meets 5 Times
This class has 12 more dates.
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Noble Desktop See all classes by this school @ 185 Madison Ave, New York, NY & Virtually Online
Develop core Photoshop skills for professional photo editing and graphic creation in this comprehensive course. You'll learn precise selection techniques, how to remove and replace unwanted elements, and methods for color correction and creative image transformation. Expert instruction and practical exercises help you build real confidence in one of the industry's most essential design tools.
Dec 7th
10am–5pm ET
Meets 3 Times
This class has 10 more dates.
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As technology progresses and becomes more interwoven with our businesses and lives, more and more data is collected about business and personal activities. This era of "big data" has exploded due to the rise of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and competitive advantages.
The creation of data-backed visualizations is a key way data scientists, or any professional, can explore, analyze, and report insights and trends from data. Tableau software is designed for this purpose. Tableau was built to connect to a wide range of data sources, and allows users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Tableau's data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, allowing users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action.
Who Should Take Tableau Desktop: Level 1 Course?
Prerequisites
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A student who cancels within 7 days of signing the enrollment agreement but before instruction begins receives all monies returned with the exception of the non-refundable registration fee.
Thereafter, a student will be liable for:
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