Thankfully we have 225 other IT Classes for you to choose from. Check our top choices below or see all classes for more options.
Noble Desktop See all classes by this school - Virtually Online
Build a confident foundation in Microsoft Excel through this practical workshop at Noble Desktop. You'll work with calculations, functions, charts, formatting, and print layouts to manage data and produce well-structured spreadsheets.
Oct 27th
10am–5pm ET
Nov 2nd
6–9pm ET
Meets 2 Times
Nov 3rd
10am–5pm ET
Nov 9th
10am–5pm ET
Nov 13th
10am–5pm ET
This class has 68 more dates.
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Noble Desktop See all classes by this school - Virtually Online
Gain comprehensive Excel expertise in this intensive three-day course that moves from foundational calculations through to advanced automation with macros. Whether you're building on basic knowledge or aiming for expert-level proficiency, this well-paced program covers the full range of tools and techniques that make Excel an indispensable asset in any professional setting.
Oct 27th
10am–5pm ET
Meets 3 Times
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
This class has 54 more dates.
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Noble Desktop See all classes by this school - Virtually Online
Become an expert in Microsoft Excel and strengthen your resume through this comprehensive certification program. Get lifetime access to video courses, private training, and free proctored exams. Grow your skills and stand out in the competitive job market.
Oct 27th
10am–5pm ET
Meets 3 Times
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
This class has 56 more dates.
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NYIM Training See all classes by this school - Virtually Online
Maximize your everyday productivity with this focused course on Excel's most essential tools and functions. Through hands-on exercises, you'll gain a confident working command of the formulas, features, and workflows that business professionals rely on most, helping you work smarter and more efficiently from day one.
Oct 27th
10am–5pm ET
Nov 2nd
6–9pm ET
Meets 2 Times
Nov 3rd
10am–5pm ET
Nov 9th
10am–5pm ET
Nov 13th
10am–5pm ET
This class has 68 more dates.
Tap here to see more
Noble Desktop See all classes by this school - Self-paced Video Training
Automate repetitive tasks and extract data from websites using Python in this beginner-friendly, self-paced course. Build real-world automation scripts, learn large-scale data scraping techniques, and develop the skills to run your code efficiently and independently. A strong foundation for anyone looking to streamline workflows or move into web development.
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This is a 6-week evening program providing a hands-on introduction to the Hadoop and Spark ecosystem of Big Data technologies. The course will cover these key components of Apache Hadoop: HDFS, MapReduce with streaming, Hive, and Spark. Programming will be done in Python. The course will begin with a review of Python concepts needed for our examples. The course format is interactive. Students will need to bring laptops to class. We will do our work on AWS (Amazon Web Services); instructions will be provided ahead of time on how to connect to AWS and obtain an account.
What is Hadoop?
Hadoop is a set of open-source programs running in computer clusters that simplify the handling of large amounts of data. Originally, Hadoop consisted of a distributed file system tuned for large data sets and an implementation of the MapReduce parallelism paradigm, but has expanded in many ways. It now includes database systems, languages for parallelism, libraries for machine learning, its own job scheduler, and much more. Furthermore, MapReduce is no longer the only parallelism framework; Spark is an increasingly popular alternative. In summary, Hadoop is a very popular and rapidly growing set of cluster computing solutions, which is becoming an essential tool for data scientists.
Prerequisites
To get the most out of the class, you need to be familiar with Linux file systems, Linux command line interface (CLI) and the basic linux commands such as cd, ls, cp, etc. You also need to have basic programming skills in Python, and are comfortable with functional programming style, for example, how to use map() function to split a list of strings into a nested list. Object oriented programming (OOP) in python is not required.
Syllabus
Unit 1: Introduction to Hadoop
1. Data Engineering Toolkits
2. Hadoop and MapReduce
Unit 2 – MapReduce
3. MapReduce using MRJob 1
4. MapReduce using MRJob 2
Unit 3 – Apache Hive
5. Apache Hive 1
6. Apache Hive 2
Unit 4 – Apache Pig
7. Apache Pig 1
8. Apache Pig 2
Unit 5 – Apache Spark and AWS
9. Apache Spark – Spark Core
10. Apache Spark – Spark SQL
11. Apache Spark – Spark ML
12. Amazon Elastic MapReduce
Project: Data Engineering Project
This course is available for "remote" learning and will be available to anyone with access to an internet device with a microphone (this includes most models of computers, tablets). Classes will take place with a "Live" instructor at the date/times listed below.
Upon registration, the instructor will send along additional information about how to log-on and participate in the class.
Any student wishing to withdraw from a program must notify CourseHorse in writing. The date of withdrawal for refund purposes is the last date of physical attendance. The failure of a student to notify us in writing of withdrawal may delay refund of tuition due pursuant to Section 5001 and 5002 of the Education Law.
Any student requesting cancellation within seven days after signing the Enrollment Agreement but before instruction begins will be refunded all money paid less 5% cancellation fee. Thereafter, in the event of cancellation or termination by the school, refunds will be prorated based on the student's last date of attendance.
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NYC Data Science Academy offers hands-on projects and real-world applications to teach students the skills needed for a career in data science. By enrolling, students become part of a supportive network that includes the NYC Open Data Meetup.
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