Find & compare hands-on Data courses available live online (virtual/remote training). We’ve chosen over 300 of the best Data courses from the top training providers to help you find the perfect fit.
Here are some of the top Live Online schools offering Data training, including ITTA (26 courses), Noble Desktop (20 courses), and Digicomp Academy (19 courses).
Students at Jedha can choose to learn data science, data analysis, data engineering, and cybersecurity. The school has a location in Paris and one in Lyon. Complete data training includes Data Essentials, Data Fullstack, and Data Lead.
Fifty hours of training in the essentials of data science and data analytics prepare graduates for a career change or advancement in this training. Topics include data visualization, SQL, statistics and Python, A/B testing and web analytics, and machine learning.
Instruction in the essential elements needed when working with big data is the focus of this course. Students learn about data visualization, SQL, Python with statistics, A/B testing, and machine learning in this program.
In this seventy-hour program, students are taught how to master the skills of a data engineer. Students will code in Scala, work with Spark, work with the ETL process, and examine DevOps skills.
DataScientest is a French data science school with immersive bootcamps in data skills. Besides training individuals, DataScientest provdes corporate training for prominent businesses in France.
Students in this program learn Python programming, database management with SQL and MongoDB, machine learning, data visualization, how to work with Big Data using Hadoop and Hive, deployment with Docker and Kubernetes, and more.
In this Data Scientist training program, students learn programming, data visualization, machine learning, deep learning, IA, and Big Data. Skills taught include Python, NumPy, Pandas, Matplotlib, SQL, KERAS, and reinforcement learning.
This Data Analyst training program covers programming, data visualization, machine learning, web scraping, business intelligence, and Big Data. Skills taught include Python, NumPy, Pandas, Matplotlib, SQL, and Power BI.
Founded in 1990, Noble Desktop offers part-time and full-immersion courses on anything you can think of from design and coding to business. Located in New York City and providing courses both online and in-person, Noble Desktop prides itself on accommodating dynamic courses and bootcamps with hands-on learning, time-tested curriculums, and education from top industry experts.
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.
This course covers the skills needed to become a Data Analyst or Business Analyst, including data analytics fundamentals, visualization with Tableau, using Python to clean and manipulate data, and how to work with relational databases. One-on-one mentoring is included.
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.
In this 18-hour SQL Bootcamp open to beginners, participants will discover the essentials of databases and how to write SQL code to retrieve and analyze data. Through hands-on exercises, participants learn everything from data types to basic queries and advanced topics, including aggregating and joining. Topics include SQL GUI basics, fundamental to advanced querying, table creation, joins, views, functions, and external data connections. The course is taught using PostgreSQL and applies to other relational databases, including SQL Server and MySQL. Participants can retake the course for free within one year.
Flatiron offers on-site and online courses in software engineering, data science, UX design, and cybersecurity. You’ll find they are located all over the U.S. including Austin, Chicago, Denver, Houston, New York, San Francisco, Seattle, and Washington, D.C.
This online data science program is meant to get students ready for a career in data science. The program covers the key components for data science, including SQL, Python, statistics, and machine learning. Students will start coding in Python using Jupyter notebooks, learn the statistics behind machine learning, apply machine learning techniques, and work on data science projects in this data science course. Students will also receive career coaching and job support during the program for help finding a job in data science. The online program offers flexible scheduling options, including full-time over 5 months, part-time over 10 months, and self-paced for up to 15 months.
NYIM Training offers results-oriented business courses and corporate training online and in New York. With hands-on courses and certifications in data analytics, design, programming, office productivity, and finance, its extensive offering provides flexible training solutions for professionals and businesses.
In this comprehensive Excel bootcamp, participants learn beginner to advanced Excel techniques, including formulas & functions, VLOOKUP, macros, and more. Students learn how to work more efficiently, summarize, and analyze data with tables, charts, and PivotTables. By the end of this hands-on course, participants will be ready to use Excel for everyday business tasks. The course has flexible scheduling options and is available live online or in NYC. Tuition includes hands-on training, a free retake, course manual, and supporting video tutorials.
In this 3-day bootcamp, beginners will be transformed into confident SQL users who can write queries, manipulate tables, and store advanced code. Participants will start by learning about relational databases and SQL fundamentals and will conclude the program having mastered complex retrieval tasks and storing complex code. Topics include composing queries, creating your SQL databases, automating workflow with stored procedures, and step-by-step exercises that will provide an efficient and thorough approach to mastering SQL. Tuition includes hands-on training, a free retake, and a course manual. The course has flexible scheduling options and is available online and in NYC.
In this comprehensive 2-day course, participants can become an advanced Tableau user able to work with data to create visualizations and use the various tools Tableau Public has to offer. They will learn to identify datasets to create desired visualizations and then master the Tableau tools on a deeper level to customize their visualizations. By the end of this course, participants will have learned to create maps to represent geographical data, and build actions to control visualizations within sheets and dashboards. Tuition includes hands-on training, a free retake, and a course manual. The course offers flexible scheduling and is available online or in NYC.
In this program, participants will learn the key skills and tools needed to succeed as a data analyst, including Excel, SQL, and Tableau. Attendees will learn how to use Excel to create graphs, summarize data with PivotTables, and analyze data. In SQL, attendees will learn the essentials of relational databases, queries, functions, and more. Finally, participants will learn Tableau to create visualizations to express their data. The program is open to beginners and has flexible scheduling options. Tuition includes hands-on training, a free retake, and training manuals for each course.
Thinkful aims to prepare students for the world’s fast-paced and job-competitive fields in software engineering, data science, data analytics, and design. Its course are held online, and it hosts events at its locations across the U.S. including California, Texas, Chicago, Florida, Washington, Denver, Boston, and Philadelphia.
Data Science Flex is a 6-month part-time program that will prepare you to to be a data scientist. This program comes with a tuition back guarantee if you can't land a job within 6 months after your graduation. To be accepted into this program, you will have to complete 3 weeks of prepwork and pass an assessment test before you start. Once you're accepted, you'll learn how to clean data using Python, query data using SQL, learn how to train and evaluate supervised and unsupervised machine learning models, and choose a track to specialize. You can deepdive in natural language processing, big data and spark, and deep learning with TensorFlow and Keras.
Data Analytics Flex is a 6-month part-time program designed to get you a job as a data analyst. You will begin by learning how to master Excel and storytell with Powerpoint. Afterwards, you'll learn how to query data using SQL and visualize data using Tableau. Once you've mastered these building blocks, you'll receive business case studies to simulate real-world work projects and you'll also be exposed to statistics. Finally, you'll learn how to clean data using Python and work on your capstone project. This program comes with a tuition backed guarantee if you don't land a job within 6 months of graduation.
Data Science Immersive is a 5-month full-time program that will prepare you to be a data scientist. You don't have to pay anything until you receive a job that is more than $40,000. To be accepted into this program, you will have to complete 3 weeks of prepwork and pass an assessment test before you start. Once you're accepted, you'll learn how to clean data using Python, query data using SQL, learn how to train and evaluate supervised and unsupervised machine learning models, and choose a track to specialize. You can deepdive in natural language processing, big data and spark, and deep learning with TensorFlow and Keras.
Data Analytics Immersion is a 4-month full-time program designed to get you a job as a data analyst. You won't have to pay until you get a job making at least $40,000. You will begin by learning how to master Excel and storytell with Powerpoint. Afterwards, you'll learn how to query data using SQL and visualize data using Tableau. Once you've mastered these building blocks, you'll receive business case studies to simulate real-world work projects and you'll also be exposed to statistics. Finally, you'll learn how to clean data using Python and work on your capstone project.
Career Centers offers intensive business courses and corporate training in the heart of New York City and remotely online. They offer courses in Microsoft Excel, finance & accounting, data analytics, Microsoft Office, and design.
This 3-day Microsoft Excel Bootcamp consists of three courses and helps students with little to no prior Excel experience go from novice to pro in a couple of days. The first course, Excel for Business Fundamentals, covers the basics, including writing formulas, using absolute references, formatting, common charts and designs, as well as general workbook best practices. The second course, Intermediate Excel for Business, introduces students to more advanced topics, including advanced paste functions, working with text, VLOOKUP, PivotTables, statistical functions, and some advanced charts. The third and final course, Advanced Excel for Business, walks students through some common skills used primarily by more experienced Excel users, including cell management, nested IF statements, What If analysis, advanced analytical tools, INDEX-MATCH, and macros to help automate repetitive tasks. Each course concludes with a final project to help cement the skills students learn in each course.
This 1-day Microsoft Excel course is intended for those who have little to no prior Excel experience looking to build foundational skills working with spreadsheets. This course covers all the basics to make students feel at ease when working with Excel. There are a number of topics covered in this course, including data entry, working with basic formulas, formatting data, an introduction to charts and tables, and workbook management. The course is punctuated by a final project to help review and solidify the major topics covered in the class.
This 1-day Intermediate Microsoft Excel course is designed for individuals with some prior Excel experience but who are looking to add to their Excel toolbelt and continue building their spreadsheet knowledge. There are a number of intermediate topics covered in this course, including learning helpful keyboard shortcuts, working with text, functions (statistical, LOOKUP and logic functions), working with PivotTables, and an introduction to combo charts. The course is punctuated by a final project to help review and solidify the major topics covered throughout the course.
This 1-day Advanced Microsoft Excel course is designed for individuals with a strong grasp on Excel but who are looking to add to their Excel toolbelt and learn advanced functions and features to become an Excel expert. There are several advanced topics covered in this course, including advanced cell management and cell locking, special formatting, advanced functions (like nested ifs), What If analysis, PivotTable calculations and charts, Index-Match, and a Macros primer to help students automate repetitive tasks. The course is punctuated by a final project to help review and solidify the major topics covered throughout the course.
General Assembly provides a variety of bootcamps and workshops in digital marketing, user experience design, and immersive courses in software engineering and data science. Students have a choice between part-time, full-time, or online classes, committed to finding you the most flexible fit for your busy schedule.
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.
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.
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.
This Python and machine learning course is a 2-day bootcamp designed for individuals with some familiarity with Python programming looking to advance their skill set. In this hands-on bootcamp, students will learn how to use some Python data science libraries and various machine learning techniques. Day one of the bootcamp focuses on introducing students to two data science libraries (NumPy and Pandas), best practices for preparing data, an intro to machine learning, and regression analysis. Day two starts off with cross validation and regularization of data, concludes with classification, and brings everything learned in days one and two together.
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You have several options when it comes to learning Data, so we’ve chosen 305 of the best Live Online courses from the top 75 training providers to help you make your decision. But even so, with the variety of considerations including cost, duration, course format, starting level, and more, choosing the perfect course still isn’t that easy.
Here are the key questions you should ask yourself before enrolling in a Data course. We hope you’ll find the best option based on your learning preferences and goals.
Enrolling in the right skill level is pivotal. Skipping over prerequisites can leave you confused, while choosing a course too easy will waste your time and tuition dollars.
If you’re new to Data, there’s no need to fear. We’ve found 140 beginner courses, with costs ranging from $49 to $27,500. The top options open to beginners include:
Note that beginner courses still typically assume basic proficiency with computers.
Already comfortable with the basics of Data and feel ready to move to an intermediate or advanced class? Consider the following courses which all require some prerequisite knowledge:
Live Online training is synchronous training where participants and the instructor attend remotely. Participants learn and interact with the instructor in real-time and can ask questions and receive feedback throughout the course. Instructors can remote into students’ computers (with prior permission) to assist with class exercises and any technical issues. The courses are hands-on and interactive like in-person training.
You can attend the course from your own home or office. This option works best for those without easy access to a nearby facility, and it has become increasingly popular during COVID-19.
If you attend a virtual training from your home or office, you’ll need a computer with strong internet access and any relevant software installed prior to the course. Most schools provide setup instructions before the course, and some will provide direct assistance.
The instruction takes place via a teleconferencing software like Zoom, Webex, or GoToMeeting, and some schools have their own learning portals.
It’s crucial to find a course that fits your schedule. For live online Data training, we’ve found flexible scheduling options, including weekday, evening, and weekend courses.
Also note, 8 courses we’ve found require a full-time commitment. These courses are “career-changer” courses that typically span over several months and require 40 or more hours of work per week, whether in the classroom or out-of-class assignments and projects. They also typically require a large financial commitment, although many provide payment plans and financing options. Full-time courses include:
Due to changing schedules and uncertainty during COVID-19, we recommend that prospective students confirm course availability directly with the school.
With Data encompassing so many verticals and subtopics, it could be challenging to find what you’re looking for. We’ll help you break down the subcategories and related topics (see the Data topics section) to focus directly on one of the subcategories.
When learning Data, you can attend a course or program that dives comprehensively into Data, provides a brief introduction into Data, or focuses on a particular topic, including Data Analytics, Data Science, or Data Visualization.
Within Data, you can focus your learning on a specific topic, including Data Analytics, Data Science, Data Visualization, Machine Learning, and Python Data Science. Each one of these topics will directly enhance, supplement, or support your learning in Data. To see how each topic relates to Data and to focus your learning on any subcategory, see the subtopics section above.
For a quick overview, here are some popular classes:
When learning Data, there are a variety of learning goals you can achieve, including learning Data comprehensively, gaining a broad introduction to Data, getting started, adding to existing skills, obtaining an official certification from Microsoft, or embarking on a new career path.
To find the perfect fit for you, it’s important to determine what your training goals are. Here is a breakdown of the variety of courses and learners.
For those who are committed to comprehensively understand Data and ready to spend 12 hours to 162 hours to master Data, these classes will help achieve that goal. With prices ranging from $499 to $4,500, there is a financial commitment, but learning these skills can have a tremendous impact on job performance and earnings potential.
Learning Data comprehensively can be a large financial and time commitment. If you’re not committed quite yet, or just want to learn about the field or subject, these courses can give you a high-level overview to help inform larger decisions. Note that most of these courses tend to be broader and less hands-on.
If you know you need to get started in Data but you’re not quite committed to learning it comprehensively, these courses will get you started with hands-on skills you can use right away. Many schools offer the ability to continue learning with intermediate-to-advanced courses, and some offer package discounts. All these courses are open to beginners.
For those with some familiarity with Data looking to advance or add to their skills, these courses provide those with experience the perfect opportunity to skill-up. All these courses require prerequisite knowledge, and we’ve included a brief note for many of them, but you should check with the school for more details on the entry requirements.
With Data, you have the opportunity to attend a course that teaches you both the skills to master Data and provide you with an official certification from Microsoft to showcase your knowledge and build your resume. These courses all prepare attendees for a certification. Some include the exam itself (and perhaps proctoring too), but most do not. Check directly with the school to see what exactly is included with your tuition.
You’re not only committed to learning Data comprehensively, but you’re hoping and ready to break into a new career. While securing a new career is not guaranteed, these courses provide in-depth training in Data. Many offer job support and some offer a money-back guarantee. Job support typically includes resume writing, help with job applications, portfolio building, and career counseling, but the services vary by provider.
Applications are typically required and many also require remote prework to build essential concepts before the more intensive “live” training. And due to the steep prices (some courses as high as $60,229) many programs provide financing options. See financing notes below but always be sure to confirm with the school and read the terms and conditions. Not all applicants are admitted and approved for financing.
Here are several “career-changer” programs. All the programs include career services (see the provider’s website for details on what is included).
Some benefits of live online Data training include:
While there are several benefits to live online training, there are a few important things to consider. You should make sure you have a quiet workplace with strong internet access. Additionally, you should have the necessary applications installed prior to class and your computer should meet any system requirements. To ensure a seamless learning experience, some schools provide remote setup support and Zoom tutorials upon request prior to the course.
Pricing for Data training varies by school, duration, method of delivery, and several other factors.
For live online training, prices range from $3/hour to $229/hr.
See the Data pricing analysis section to compare course fees.
For Data corporate and on-site training, contact us at (212) 226-4149 or hello@nobledesktop.com to receive a quote and free consultation. We can customize the curriculum to meet the needs of your team.
See the tuition comparison below to compare Data courses by cost per training hour.* For private tutoring or corporate training (onsite or virtual), contact us at hello@nobledesktop.com for a quote.
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Disclaimer & Notes: Hourly rates are estimates only. Courses are not available on an hourly basis. Several other factors that contribute to pricing (such as job support and free retakes) are not factored into pricing per hour. 1 day is estimated to have 6.5 hours of training; 1 week is estimated at 35 hours; and 1 month is estimated at 150 hours. Actual hours will vary by school. Course pricing is subject to change without notice, certain discounts may not be included, and pricing may vary by location.
If you’re interested in Data, you might also be interested in these topics:
For registration assistance and a list of partners and affiliate schools, see the Partners Page. Neither Classes Near Me (“CNM”) nor Noble Desktop is affiliated with any schools other than those listed on the Partners Page. The information provided on CNM for all schools is intended to provide information so that you may compare schools and determine which best suits your needs. The information provided is not updated regularly, so you should go to the schools website directly to verify their continued offerings. Neither CNM nor Noble Desktop can assist with registration for non-partner schools.