Best Data Analytics Bootcamps Online: On-Demand & Live Online Data Analytics Bootcamps

Data Analytics Bootcamps On-Demand

Data Analytics Certificate Learn The Skills Guarantee™

Learn the essential skills needed to become a Data Analyst or Business Analyst, including data analysis, data visualization, and statistical analysis. Gain practical experience through real-world projects and prepare for a successful career in the field of data analytics.

Learn more & register Explore Noble Desktop’s Data Analytics courses
- $4,995
- 156 hours
- Free retake
- Live Online or NYC
- 1:1 Mentoring Included
Featured course from
Data Analytics Career Track

Springboard

This course guides students through a practice-based curriculum designed to help them enter careers in data analytics. Students start by learning about structured thinking for data analysis and how businesses...
- $8,500
- 6 months
- Beginner
Data Analytics

CareerFoundry

Through this sequence of two courses, students prepare for careers in data analytics. Students begin by learning about the theory and applications of data analytics, gaining skills in using pivot tables...
- $6,900
- 8 months
- Beginner
Google Data Analytics Professional Certificate

Google Career Certificates

These eight sequential courses prepare beginner data analysts for careers in the field. Students start by learning about data and the kinds of problems data analysis can solve, then develop skills in SQL...
- Platform subscription
- 6 months
- Beginner
Data Science Career Track

Springboard

Through this bootcamp, students with experience in programming and statistics can jumpstart their careers in data science. Students learn to use Python, SQL, Pandas, and APIs for data science as they develop...
- $9,900
- 6 months
- Intermediate
Become a Data Scientist

Udacity Instructors: Josh Bernhard, Juno Lee, Luis Serrano, Andrew Paster, Mike Yi, David Drummond, Judit Lantos

After studying this course, students with a background in Python, machine learning, SQL, and statistics will have the essential skills for doing work with data science. The course starts by teaching students...
- Platform subscription
- 4 months
- Intermediate
Become a Data Engineer

Udacity Instructors: Amanda Moran, Ben Goldberg, Sameh El-Ansary, Olli Iivonen, David Drummond, Judit Lantos, Juno Lee

Students with some experience in Python and SQL can specialize in data engineering with this course. The course introduces students to data modeling, lakes, and pipelines. Along the way, students develop...
- Platform subscription
- 5 months
- Advanced
Data Science Career Track Prep

Springboard

Designed for students who have no prior programming experience, this course helps complete beginners gain the necessary experience to join the Data Science Career Track bootcamp. Students learn to code...
- $490
- 6 weeks
- Beginner
Become a Machine Learning Engineer for Microsoft Azure

Udacity Instructors: Noah Gift, Alfredo Deza, Erick Galinkin, Soham Chatterjee

Machine learning students can extend their education by learning to make models in the Microsoft Azure program. The course begins with an orientation constructing pipelines in the program. Then, students...
- Platform subscription
- 3 months
- Advanced
Database Management Course Online

Upskillist

Beginners in this course learn the tools and concepts necessary for expert database management. Students work primarily with SQL as they gain experience with data manipulation before moving on to work...
- Platform subscription
- 16 weeks
- Beginner
Become a Deep Reinforcement Learning Expert

Udacity Instructors: Alexis Cook, Arpan Chakraborty, Mat Leonard, Luis Serrano, Cezanne Camacho, Dana Sheahan, Chhavi Yadav, Juan Delgado, Miguel Morales

With this course, machine learning students can take the next step in their deep learning education with deep reinforcement learning. The course starts with an introduction to the field, sharing insights...
- Platform subscription
- 4 months
- Advanced
Become a Natural Language Processing Expert

Udacity Instructors: Luis Serrano, Jay Alammar, Arpan Chakraborty, Dana Sheahen

After studying this course, students of deep learning will have the skills for working with natural language processing. Students learn about text processing and sentiment analysis. Then, they gain experience...
- Platform subscription
- 3 months
- Advanced
AWS Machine Learning Engineer

Udacity Instructors: Matt Maybeno, Joseph Nicolls, Charles Landau, Soham Chatterjee, Bradford Tuckfield

With this course, machine learning students with a Python background can advance their skills by learning Amazon SageMaker to engineer models. Students learn to build, monitor, and evaluate machine learning...
- Platform subscription
- 5 months
- Advanced

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showing 12 of 14 courses

Data Analytics Bootcamps Live Online

Noble Desktop Data Analytics Certificate

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.
- $4,995
- 156 Hours
- Weekdays or Evenings
- Beginner
- Free Retake
NYIM Training Data Analytics Technologies Bootcamp

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...
- $1,949
- 51 Hours
- Weekdays
- Beginner
- Free Retake
General Assembly Data Science Bootcamp (Online)

Learn to problem solve, and effectively communicate, like an analyst. This course teaches you to use industry-standard tools to make ethical, data-driven decisions. Experience hands-on training to master SQL, Excel, Tableau, PowerBI, and Python – tools listed...
- $16,450
- 12 Weeks
- Weekdays
- Intermediate
Thinkful Data Analytics Flex

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....
- $4,500
- 6 Months, 25 hr/wk
- See provider
- Intermediate
- Money-back guarantee
NYC Career Centers Data Analytics Technologies Bootcamp

In this 8-day intensive Data Analytics bootcamp, students with little to no background in data analytics will learn how to use Microsoft Excel, SQL, and Tableau to summarize, display, and discover key insights hidden in data sets. By the end of this bootcamp,...
- $1,949
- 51 Hours
- Weekdays
- Beginner
- Free Retake
Fullstack Academy Online Data Analytics Bootcamp (Full or Part Time)

Students build in-demand industry skills and prepare to take certification exams in Tableau and Amazon Web Services. The program consists of Fullstack’s live online classes and workshops so you will feel fully supported along your journey. The up-to-date curriculum...
- $14,495
- 10 Weeks
- Weekdays
- Beginner
Thinkful Data Analytics Immersion

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,...
- $12,250
- 4 Months, 40 hr/wk
- Weekdays
- Intermediate
General Assembly Data Analytics Bootcamp (Online)

Learn to problem solve, and effectively communicate, like an analyst. This course teaches you to use industry-standard tools to make ethical, data-driven decisions. Experience hands-on training to master SQL, Excel, Tableau, PowerBI, and Python – tools listed...
- $16,450
- 12 Weeks
- Weekdays or Evenings
- Beginner
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...
- $1,495
- 30 Hours
- Weekdays, Evenings, or Weekends
- Beginner
- Free Retake
General Assembly Data Analytics Short Course (Online)

Harness Excel, SQL, and Tableau to drive powerful analysis and insights. Build confidence and credibility to apply this versatile skill set to countless jobs. This course is offered in person and live online, in a remote classroom setting.
- $4,500
- 10 Weeks
- Weekdays or Evenings
- Beginner
BrainStation Data Analytics Certificate

This course in data analytics serves as an introduction to data analysis. Professionals who take this course will obtain essential data analysis skills, including the use of Tableau for visualizations. This program offers online and on-campus versions, with...
- $3,250
- 30 Hours
- Weekdays, Evenings, or Weekends
- Beginner
General Assembly Data Science Short Course (Online)

Create robust predictive models with statistics and Python programming. Build confidence and credibility to tackle complex machine learning problems on the job. This course is offered in person and live online, in a remote classroom setting.
- $4,500
- 10 Weeks
- Weekdays or Evenings
- Intermediate

showing 12 of 80 courses

Data Analytics Topics

Excel

Excel is more than just a tool for creating databases. It can also be used to analyze data. Excel can organize data using filters, sorting, and conditional formatting. Charts, pivot tables, and other visualizations can then be created from the assembled data sets. Users can also download and install the Analysis ToolPak, which provides additional data analysis tools specifically for financial and engineering data.

Explore Excel Bootcamps

SQL

SQL stands for Structured Query Language. Data analysts rely on the query functions of SQL to analyze massive quantities of data using relational models. SQL defines three distinct types of data, including predefined, constructed, and user-defined types. Standard SQL commands such as “Create,” “Update,” “Insert,” “Delete,” “Select,” and “Drop” can be used to do almost anything a data analyst needs to do with data. SQL powers many database management systems, such as Oracle, Access, and Microsoft SQL Server.

Explore SQL Bootcamps

Tableau

Tableau is an interactive data visualization tool that produces cloud databases, query relational databases, online analytical processing cubes, and spreadsheets. It offers even novice users the ability to change or transform the raw set of data. Using the Tableau Desktop, data scientists can create rich, interactive data visualizations, deploy data drilling and mining tools, and provide in-depth analysis that uncovers hidden patterns. Tableau’s intuitive, drag-and-drop interface makes it easy to get started.

Explore Tableau Bootcamps

Python Data Science

Python is a powerful, general-purpose programming language with broad applications for data analysis and the creation of data visualizations. With Python, users can create scatter plots, line plots, histograms, and other plots to visualize data and facilitate analysis. Matplotlib is Python’s most widely used 2D plotting library, used for the creation of such data visualizations. The Python programming community offers many free code blocks to make the creation of visualizations easy and intuitive.

Explore Python Data Science Bootcamps

Power BI

Power BI is a collection of software that works together to convert multiple sources of data into usable information. Using the Power BI Desktop, the Power BI service, and the Power BI mobile apps, businesses can analyze data, create visualizations, and make sense of it all. Leaders can use these critical insights to forecast, plan, and make informed decisions.

Explore Power BI Bootcamps

Data Science

Data science draws from multiple disciplines to understand data. Combining machine learning, data analysis, statistics and domain knowledge, data science has been referred to as the “fourth paradigm of science”. Using algorithms and other statistical methods, data scientists can uncover knowledge and insights from structured and unstructured data that might otherwise go unnoticed.

Explore Data Science Bootcamps

Online Data Analytics Bootcamps by Provider

Springboard

Springboard offers online on-demand courses for students who want the bootcamp experience without the bootcamp schedule. Students work with real, live mentors and develop a portfolio to prepare for careers with the school's jobs guarantee.
Springboard’s Top Data Analytics Bootcamps
- Data Science Career Track
  - $9,900
  - 6 months
  - Intermediate
  Through this bootcamp, students with experience in programming and statistics can jumpstart their careers in data science. Students learn to use Python, SQL, Pandas, and APIs for data science as they develop skills for data wrangling and data analysis. In addition, students gain experience with inferential statistics, machine learning, deep learning, and natural language processing as they advance through the course and begin to scale up their work. By the end of the course, students will have produced two capstone projects.
  
  Go to course at springboard.com
- Data Science Career Track Prep
  - $490
  - 6 weeks
  - Beginner
  Designed for students who have no prior programming experience, this course helps complete beginners gain the necessary experience to join the Data Science Career Track bootcamp. Students learn to code in Python and gain familiarity with data visualization, probability, and algorithms. Students also work with Pandas and matplotlib as they prepare to use those skills in the bootcamp. At the end of the course, students develop a capstone project to put their new skills into practice.
  
  Go to course at workshops.springboard.com
- Data Analytics Career Track
  - $8,500
  - 6 months
  - Beginner
  This course guides students through a practice-based curriculum designed to help them enter careers in data analytics. Students start by learning about structured thinking for data analysis and how businesses solve economic, financial, and statistical problems with data analytic solutions. By gaining skills in SQL, Python, and Tableau, students learn to analyze and visualize data and present their findings and conclusions. Students graduate with a porfolio of work, including two capstone data analytics projects.
  
  Go to course at springboard.com
- Introduction to Data Analytics
  - $349
  - 4 weeks
  - Beginner
  For students who need some skills support before starting a full bootcamp or want to gain some hands-on experience before committing to a career, this short course delivers an introduction to the field of data analytics. Students learn about the fields of data analytics and data science as well as the fundamental skills that professionals use and the kinds of problems that data analytics can help solve. Working with Excel, students build skills in Boolean logic, pivot tables, and data visualization. The course concludes with coaching in presentation skills for data analytics.
  
  Go to course at springboard.com
CareerFoundry

CareerFoundry runs on-demand bootcamps on in-demand skills. Students can choose among courses in design, web development, and data analytics.
CareerFoundry’s Top Data Analytics Bootcamps
- Data Analytics
  - $6,900
  - 8 months
  - Beginner
  Through this sequence of two courses, students prepare for careers in data analytics. Students begin by learning about the theory and applications of data analytics, gaining skills in using pivot tables and statistics in Excel to understand, analyze, and visualize data. Then, students dig into practicing data analysis, developing proficiency with Python, SQL, and Tableau before learning about big data, machine learning, and ethical issues in data analysis. Students complete the course with a portfolio of professional data analytics work.
  
  Go to course at careerfoundry.com
- Intro to Data Analytics
  - $690
  - 1 months
  - Beginner
  Students in this course gain familiarity with the field of data analytics and get practice with some beginner-friendly data analysis. Working with Excel, students learn to clean and organize data sets. Students use pivot tables and statistics as they begin to analyze data for themselves, learning about a range of analytical methods and their applications. By the end of the course, students will have used their new data visualization and presentation skills to share insights about their data analytics project.
  
  Go to course at careerfoundry.com
Google Career Certificates

Offered through Grow with Google, Google Career Certificates allow students to learn essential skills for careers in technology. Graduates earn credentials designed by Google.
Google Career Certificates’s Top Data Analytics Bootcamps
- Google Data Analytics Professional Certificate
  - Platform subscription
  - 6 months
  - Beginner
  These eight sequential courses prepare beginner data analysts for careers in the field. Students start by learning about data and the kinds of problems data analysis can solve, then develop skills in SQL in order to extract, store, and clean data for analysis. Students also gain experience with data visualization and programming with R for data analysis. In the final course, students develop a data analysis case study for their capstone project and benefit from lessons in job hunting before they graduate with a certificate from Google.
  
  Go to course at coursera.org
Udacity

Udacity operates on a MOOC platform, offering executive education and vocational programs. Students can study subjects such as business, product, programming, and the data sciences.
Udacity’s Top Data Analytics Bootcamps
- Data Visualization in Tableau
  - Free
  - 3 weeks
  - Beginner
  Using Tableau, this course introduces students to the field of data visualization. The course begins with an orientation to data types and visualizations for exploration and explanation as well as tips for making the most of visual design. Students then practice adding data into Tableau and making calculations and charts. In the final unit, students work with Tableau's presentation features, including the dashboard.
  
  Go to course at udacity.com
- Intro to Data Science
  - Free
  - 2 months
  - Intermediate
  Students with some experience in programming can take this course to develop a foundational understanding of data science. The course begins with an introduction to the field. Then, students learn about the activities that fall under data science, including data wrangling and analysis. At the end of the course, students also discover data visualization and big data.
  
  Go to course at udacity.com
- Deep Learning
  - Platform subscription
  - 4 months
  - Intermediate
  For students with an intermediate skill-level programming in Python, this course offers a deep dive into deep learning. Students learn about a range of different neural networks as they develop familiarity with PyTorch. Then, students study and program generative adversarial networks and sentiment analysis models. A total of five hands-on projects help students gain experience with deep learning.
  
  Go to course at udacity.com
- Become a Data Engineer
  - Platform subscription
  - 5 months
  - Advanced
  Students with some experience in Python and SQL can specialize in data engineering with this course. The course introduces students to data modeling, lakes, and pipelines. Along the way, students develop skills with PostgreSQL, NoSQL, Spark, and Apache Airflow. Five hands-on activities and a capstone project help students practice their new data engineering skills.
  
  Go to course at udacity.com
Upskillist

Upskillist offers online training in a wide range of subjects, such as web development, design, and marketing. Students can earn internationally-recognized certificates through many of the school's programs.
Upskillist’s Top Data Analytics Bootcamps
- MS Excel Training Classes Online
  - Platform subscription
  - 19 weeks
  - Beginner
  Students in this course level up from novice to expert in using Microsoft Excel for business. Students learn the fundamentals of using data in spreadsheets, including data integrity, as they learn how to create charts and graphs and take advantage of conditional formatting and templates. As students progress through the course, they gain experience with functions, formulas, macros, and pivot tables and pivot charts, and also learn to use automated tools and do data analysis. At the end of the course, graduates earn an Excel certification from Austin Peay State University continuing education, recognized by the global CPD Certification Service.
  
  Go to course at upskillist.com
- Data Analytics Certification Course
  - Platform subscription
  - 4 weeks
  - Beginner
  This short course jumpstarts newcomers to the field of data analysis. Students get an introduction to data and statistics, learning to assess the quality of samples and test for differences. Students then learn the coding language R as they gain experience with concepts like linear and logistic regressions, classification, and predictive analysis. Working with Tableau, students also develop skills for data visualization before graduating with a certification in data analytics from Austin Peay State University continuing education, recognized by the global CPD Certification Service.
  
  Go to course at upskillist.com
- Database Management Course Online
  - Platform subscription
  - 16 weeks
  - Beginner
  Beginners in this course learn the tools and concepts necessary for expert database management. Students work primarily with SQL as they gain experience with data manipulation before moving on to work with tables, clauses, queries, indexes, data warehouses, and schemas as they learn to structure queries. Students also learn to use industry-standard database management tools including Microsoft SQL Server and Visual Studio and Oracle Database. When they complete the course, students graduate with a certification issued by Austin Peay State University continuing education, recognized by the global CPD Certification Service.

showing 5 of 5 providers

Learn Data Analytics for a New Career

Data analytics uses analysis techniques to infer insights from raw data. Algorithms and machine learning have optimized data analysis over time to find trends and answer questions more efficiently. Americans use over 4 million gigabytes of internet per day, that produces massive amounts of data which powers a variety of careers in four specific sectors: data science, business, finance, and marketing. Learning data analytics can open doors for you in any of these fields.

Data Analytics is one of the core skills needed to secure one of these positions. See the career pages for more information on required skills, tips for landing a job, typical day-to-day work, and where to find job postings.

Digital Analyst

Indeed.com Avg. Salary

$87K / year

Glassdoor Avg. Salary

$75K / year

Digital analysts work with a marketing team to analyze the effectiveness and reach of digital marketing campaigns. They use Google analytics and site tagging tools...
Data Analyst

Indeed.com Avg. Salary

$82K / year

Glassdoor Avg. Salary

$86K / year

Data analysts review large amounts of data to summarize, analyze, and visualize it and provide insights. Working from data from multiple, relevant sources, they...
Business Analyst

Indeed.com Avg. Salary

$85K / year

Glassdoor Avg. Salary

$94K / year

Business analysts use business, technology, and project management skills to analyze business problems and propose data-driven solutions. Grounded in technical expertise,...

Learn More About Online Data Analytics Bootcamps

Data analytics is the process of analyzing raw datasets to find meaningful information, such as trends, patterns, correlations, or outliers, which can then be used to help an organization make more informed business decisions. This typically involves gathering and extracting raw data, then organizing it, analyzing it, and transforming the numbers into coherent, useful insights. Once the data findings have been interpreted, a Data Analyst will provide recommendations or suggestions that can inform an organization’s next steps.

Not only is data analysis a powerful tool for making sense of past information, but it also can present a clear picture of where an organization currently stands with product sales, customer service, and revenue. In addition, analyzing data also offers valuable insights that can be used to forecast behaviors and trends, which can help an organization avoid guesswork as it plans ahead. In addition, many data analytics processes and techniques can be automated to expedite the analytics process and lead to faster insights.

Why Learn Data Analytics

More data is being created each day than ever before. However, until it’s analyzed, these numbers are just numbers. Data analytics is a powerful tool that helps organizations pull actionable insights from these datasets. Those with the skills to analyze and visualize data have the power to affect change within their organization. For this reason, data analytics is an in-demand skill across professions and industries, and pay rates are typically competitive.

Marketing Analysts, who work with Google Analytics and other custom reporting tools, evaluate website traffic and social media advertisement engagement. They help their organization decide how to leverage their resources for better outcomes. The average annual pay for a Marketing Analyst is $65,000. Data Analysts work with both company and industry data to extract valuable insights. They make approximately $71,000 a year.

Another popular profession for those with a background in data analytics is Business Analyst. These professionals work with SQL for data analysis, and create data visualizations and models to communicate their findings. Their average salary is $79,000. Another popular data field is quantitative analysis. Financial firms often seek out Quantitative Analysts to work with data for risk management as well as to spot possible financial investment opportunities. These data professionals earn an average of $86,000 a year.

One of the top-ten fastest-growing jobs in America is data science. They gather and analyze data, then use their findings to make predictions that can help their organization. Data Scientists work with programming languages like R and Python, as well as data visualization skills, to communicate their data findings. The average annual salary for Data Scientists is $88,000. Data Engineers are on the high end of the pay scale for data-related fields. They work to improve the infrastructure involved with various data analytics processes, such as pipeline efficiency. These professionals earn a yearly salary of $94,000.

In addition to a competitive salary, learning data analytics is a good career path because it can help you build a strong foundation to learn other hard and soft skills. Often, those who explore data analytics progress to study other related, marketable skills, such as Python programming. Python has built-in analytical tools and plays an integral role in back end development and the field of data science. In addition, learning to analyze data and communicate the findings can lead to improved problem-solving skills, better organizational outlook, and stronger collaboration skills.

Types of Online Data Analytics Classes

If you’re interested in studying data analytics online, there are some key differences between online learning formats to be cognizant of when selecting. On-demand coursework is pre-recorded and can be accessed anytime and from any location. This makes it a good choice for learners who are new to data analytics and want to gain a general understanding of this field but have other life commitments to balance their study with, such as family, work, and travel. Because self-paced content is pre-recorded, it can be watched and rewatched as often as needed and paused for notetaking. Another benefit of on-demand data analytics study is that it’s generally a more affordable learning option than in-person and live online study; some content is even available for free. Many educational providers also offer asynchronous data analytics materials on a subscription-based platform, which allows learners to select which course they wish to learn and purchase it individually.

While self-paced study is a good starting point in your path to learning data analytics, this format can present challenges for those who need to master more complex analytics skills. Because students don’t have access to an instructor, it can be difficult in asynchronous study to find answers to questions. In addition, since so much online content is available, it may be challenging to know which material is the most up-to-date and accurate.

For learners who prefer a more interactive and engaging learning format, live online data analytics study is an excellent option. Courses are taught by expert instructors in real-time, which means participants can ask questions as they arise and receive individual guidance. Live online coursework typically costs the same or less than in-person study and affords the same perks without the hassle of having to commute to and from campus for regularly scheduled meetings. Participants can study from the comfort of their home or office space and still receive hands-on, industry-relevant training in data analytics and data visualization.

On-Demand Data Analytics Classes

If you’re the type of learner who values the flexibility of self-paced study, there are many excellent on-demand data analytics courses available from top educational providers. For those who are interested in free coursework, Noble Desktop has two great resources. Noble’s Top 10 Beginner Excel Tricks You Need to Know is a beginner-friendly tutorial that teaches students how to save time working with Excel spreadsheets. Noble also has an hour-long Get Started in Data Science course that provides an overview of how Python is used in data science, as well as the different tools and skills needed to become a Data Analyst.

For learners who want to take a deeper dive into data analytics, Springboard’s Data Analytics Career Track is a six-month, beginner-friendly program that incorporates a practice-based curriculum. Students receive instruction on how businesses use data analytic solutions to solve financial, economic, and statistical problems. Participants learn how to work with Tableau, Python, and SQL to analyze and visualize data. In addition, CareerFoundry’s Data Analytics is a two-sequence course that spans eight months. This beginner-level program covers core analytics tools and skills, such as machine learning, PivotTables, Excel, Python, Tableau, and Excel.

Live Online Data Analytics Classes

Live online data analytics classes are an excellent option for students who want to connect with other learners in real-time and have the support of an expert instructor to guide them. This learning format provides the flexibility of studying from one’s home or office while still providing the same quality of education as classroom study. Noble Desktop offers several live online data analytics classes and bootcamps, which are a great way to get started learning how to work with large datasets.

Noble’s Data Science Certificate provides participants with hands-on instruction and mentoring from industry experts. Those enrolled work with Python for data analysis, develop their own machine learning models and data visualizations, and learn how to use SQL to query databases. Noble also has a Data Analytics Certificate, a rigorous course that teaches students how to work with SQL, Excel, Python, and Tableau for data analysis and visualization. Both Noble certificates offer one-on-one mentoring and the option of a free course retake.

NYIM also has live online data analytics classes focusing on Excel, Tableau, SQL, data analytics, Python, R, and Data Science. Those who are interested in learning the tools most commonly used by Data Analysts can also choose from the listing of live online data analytics courses pertaining to data analytics, data analytics technologies, or data science.

If you’re a high-school student interested in learning about data analytics, NextGen Bootcamp’s Data Analytics summer classes for high school are a great learning opportunity. Participants can enroll in the Computer Science Summer Certificate Program or choose the Python Data Science & Machine Learning course.

Data Analytics Bootcamps

For those interested in learning data analytics to fill a skill gap or grow in their current career, live online data analytics bootcamps are available. Even though it can sound intimidating to consider a bootcamp learning experience, these courses are generally less intense than certificate study or a longer data analytics course. In fact, they’re often accelerated programs that teach students targeted skills.

Noble Desktop’s Python for Data Science Bootcamp is a program devoted to helping students learn how to use Python to manage various data types and work with libraries like NumPy and Pandas. All participants in this hands-on course receive expert instruction on how to use Python to make data visualizations and work with statistics to create machine learning models. All participants have the option of a free course retake for up to a year, which can help reinforce core course concepts.

Compare Data Analytics Learning Methods

When deciding between the different ways to study data analytics, you may wonder which is the best option. For extroverted learners who thrive in the traditional classroom environment, in-person study is an excellent option. This training format includes access to an instructor, as well as the companionship of a cohort of students who are all on the same learning journey. Computers are provided with the most up-to-date software, making learning even easier.

However, if you don’t live near a major city and still want the same perks as in-person study, live online coursework may be a more accessible option. This form of study doesn’t require a commute and offers additional educational flexibility for illness, car trouble, or travel. In addition, because data analytics is done with computer programs that can be installed on your device, you don’t have to leave home to get the same learning experience as you would have in the classroom.

For students who want the additional flexibility of remote coursework and prefer to complete lessons on their own time, self-paced data analytics classes are also available. Because videos and study material are pre-recorded, they can be watched from any location at any time. This allows students to fit their data analytics study into busy schedules. In addition, videos can be rewound or paused as needed, which makes it easier to take notes and retain information. Often, on-demand courses are a more affordable study option than in-person or live online study. These courses are especially helpful for beginner-level instruction since they can provide an overview of the field of data analytics.

However, if you’re looking to master more advanced topics like machine learning algorithms or statistical programming, self-paced study can present challenges; since there isn’t an instructor available, it may be difficult to receive guidance with more complex data analytics tasks. Although in-person and live online study may cost more than self-paced coursework, this additional cost is well worth it because it often provides perks like expert instruction, peer support, career counseling, and even the option of a free course retake.

Online Corporate Data Analytics Training

Corporate data analytics training available onsite or virtually is a great option for employers who want to invest in upskilling their staff. Noble Desktop provides organizations and enterprises with the option to tailor private live online classes to their professional needs. These sessions can be delivered virtually via live teleconferencing platforms like Zoom. In addition, employers can purchase vouchers for employees to use for Noble’s open-enrollment data analytics classes, which offer even more flexible live online training.

Employers who purchase multiple vouchers are eligible for a group discount. These vouchers can be used by multiple employees to attend the same data analytics course or to select different courses with different training levels. Or, one employee can use multiple vouchers to progress from learning beginner data analytics concepts into intermediate and advanced training.

If you want to learn more, contact Noble Desktop for details.

Data Analytics Bootcamps On-Demand

Data Analytics Certificate Learn The Skills Guarantee™

Database Management Course Online

Data Analytics Bootcamps Live Online

Data Analytics Topics

Excel

SQL

Tableau

Python Data Science

Power BI

Data Science

Online Data Analytics Bootcamps by Provider

Springboard

Springboard’s Top Data Analytics Bootcamps

Data Science Career Track

Data Science Career Track Prep

Data Analytics Career Track

Introduction to Data Analytics

CareerFoundry

CareerFoundry’s Top Data Analytics Bootcamps

Data Analytics

Intro to Data Analytics

Google Career Certificates

Google Career Certificates’s Top Data Analytics Bootcamps

Google Data Analytics Professional Certificate

Udacity

Udacity’s Top Data Analytics Bootcamps

Data Visualization in Tableau

Intro to Data Science

Deep Learning

Become a Data Engineer

Upskillist

Upskillist’s Top Data Analytics Bootcamps

MS Excel Training Classes Online

Data Analytics Certification Course