Best Data Analytics Classes Baltimore, MD: Find Courses & Onsite Training

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
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 in virtually every data analytics job posting across industries.

In-person @ 509 7th Street NW, Washington, DC Also available online
- $16,450
- 12 Weeks
- Weekdays or Evenings
- Beginner
Loading...
Compare
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 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.

Available live online (virtual training) from anywhere
- $1,949
- 51 Hours
- Weekdays
- Beginner
- Free Retake
Loading...
Compare
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.

In-person @ 509 7th Street NW, Washington, DC Also available online
- $4,500
- 10 Weeks
- Weekdays or Evenings
- Intermediate
Loading...
Compare
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.

In-person @ 509 7th Street NW, Washington, DC Also available online
- $4,500
- 10 Weeks
- Weekdays or Evenings
- Beginner
Loading...
Compare
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, students will be able to use Excel to aggregate and summarize data, sort data with PivotTables, create charts and tables in Excel, use SQL to filter and sort large data sets, use advanced database queries, create visualizations with Tableau, and much more. Students will also be able to reinforce what they learn through the numerous projects they encounter throughout the course. This course also offers a free retake within six months to allow students to revisit any concepts needing to be refreshed and walk away with a much stronger grasp of the material.

Available live online (virtual training) from anywhere
- $1,949
- 51 Hours
- Weekdays
- Beginner
- Free Retake
Loading...
Compare
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 ensures course activities are relevant with real-world applications and interactive technology to help you master the knowledge and skills that you’ll acquire throughout the program.

Available live online (virtual training) from anywhere
- $14,495
- 10 Weeks
- Weekdays
- Beginner
Loading...
Compare
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 in virtually every data analytics job posting across industries.

In-person @ 509 7th Street NW, Washington, DC Also available online
- $16,450
- 12 Weeks
- Weekdays
- Intermediate
Loading...
Compare
Certstaffix Training SQL Querying - Basic

This course teaches basic SQL Querying in 2-days. Students learn online, attending live training provided by professional instructors. The course explores database concepts such as grouping and summarizing data, joining tables, and clauses. Working in the online lab environment, students will get hands-on experience writing simple SELECT queries and using built-in functions and expressions.

Live online with optional computer lab access @ 14502 Greenview Drive, Laurel, MD
- $990
- 2 Days
- Weekdays
- Beginner
Loading...
Compare
Certstaffix Training SQL Querying - Advanced

This 1-day online course teaches students how to compose Advanced queries in SQL. Based on Microsoft’s SQL Server, this program is delivered live by experienced instructors, allowing for real-time feedback. Students will learn how to write advanced queries, advanced WHERE clauses, and create advanced joining tables. They will practice these schools in an online lab environment, where they can collaborate with other students.

Live online with optional computer lab access @ 14502 Greenview Drive, Laurel, MD
- $495
- 1 Day
- Weekdays
- Advanced
Loading...
Compare

Showing 10 of 64 courses

Data analytics training provides comprehensive instruction in essential skills like data cleansing, Python, SQL, Excel, and visualization tools such as Tableau, preparing students for versatile careers across healthcare, finance, education, and government. With knowledge in machine learning fundamentals, graduates can leverage advanced analytical techniques to uncover valuable insights and drive strategic business decisions.

Key Insights

Data analytics courses cover crucial topics such as data cleansing and preprocessing, necessary programming languages (Python, SQL, R), Microsoft Excel, and visualization tools like Tableau and Power BI.
Professionals trained in data analytics can pursue dynamic roles across multiple sectors, including healthcare, education, finance, and government, using their expertise to provide valuable insights for improved decision-making.
Advanced-level classes may introduce fundamental machine learning techniques, empowering analysts to build predictive models and identify complex patterns within large datasets.

Learn more below

Learn More About Baltimore Data Analytics Courses

What is Data Analytics?

Data analytics is all about taking raw data that is seemingly meaningless and turning it into useful interpretations that can help improve customer relations, increase sales, and enhance business operations. It involves identifying trends and patterns to make better decisions. For example, you might analyze customer behavior to see why sales dropped. It could also be used to share more insights with the marketing team to determine how social media interactions could be improved. Ultimately, data analysis leads to better outcomes for businesses and is therefore one of the most useful behind-the-scenes aspects of a company.

Today, data analytics is often associated with databases, programming languages, and computers, but in truth, data analysis has a strong, lengthy history. It can technically be traced back to as early as the Stone Age where simple forms of data collection such as notches on bone or drawings on the wall, were performed to keep track of items. In the late 1800s, factories found it necessary to streamline operations and would therefore keep track of assembly line processes for efficiency. Although data analytics is incredibly necessary today, as well as highly automated, it can be used in virtually every industry for companies both big and small.

What Can You Do with Data Analytics Training?

Data analytics training offers job opportunities in spaces you wouldn’t even believe—from healthcare and education to finance and even government. There’s no shortage of data analysis jobs since virtually any business or money-making entity relies on large amounts of data to understand the next step, optimize their operations, or market to consumers. With these skills, you can thrive virtually anywhere you desire, which is why so many opt for a data analysis education.

That being said, it’s no surprise that you’ll have the chance to complete numerous projects. Every day is different as a Data Analyst—some days, you’ll analyze recent financial data to provide the company with ways to budget more effectively in the next quarter. On other days, you will work on improving marketing techniques for the social media management team. The variety of work keeps things fresh and exciting.

Even if you don’t want to work as a professional Data Analyst, you could use these skills in your everyday life. For example, your analysis skills can help you track your finances more effectively. This means you’ll save money, learn where you need to cut back and figure out the best way to approach each month. You could also put your skills to use in your latest fitness journey. This is especially true if you wear a Smartwatch that keeps track of your health metrics. You could collect, compare, and gain insights from your exercise routine and figure out how to improve your overall health. Data analysis is a great way to benefit your professional and personal life, so training is incredibly worthwhile.

What Will I Learn in a Data Analytics Class?

Each data analytics class will differ based on the subject matter or the level of depth. For instance, some will focus solely on the basics such as data cleansing and preprocessing as well as the relevant programming languages. Others will focus on data visualization tools whereas some will dive deeper into how to use Microsoft Excel. Furthermore, some more challenging courses will discuss machine learning concepts. This all depends on the specific course, but you could expect any number of these subjects in a beginner, intermediate, or advanced-level course as well as a bootcamp or certificate course.

Data Cleansing and Preprocessing

Data cleansing and preprocessing are essential steps in the data analysis process and will certainly be discussed at any level of a data analytics course. Think of this stage as similar to cleaning up a cluttered space—it involves removing duplicates, fixing errors, filling in missing spaces, and making sure everything is organized. This step is important because raw data can be messy and unorganized in addition to being inconsistent. If you skip this step, your data could end up inaccurate and therefore worthless.

Programming Languages

The most commonly used programming languages for data analysis include Python, SQL, and R, so these will likely be discussed at length. They allow you to handle, analyze, and visualize large datasets with ease. Programming languages allow you to automate tasks and use their associated libraries and tools. For example, Python’s libraries, Pandas and NumPy, allow users to manipulate data with ease. R is most useful for statistical analysis. In essence, if you want to learn data analysis, programming languages are a nonnegotiable skill.

Microsoft Excel

There are dozens of data analytics tools but one that reigns supreme is Excel. It’s a staple for data analysis because it’s simple and is great for smaller tasks. The tool has numerous functions like formulas, Pivot Tables, and charts so you can easily organize, find, and analyze data. Whether you’re working directly with data, generating reports, or running through basic statistics, Excel is versatile and necessary to master.

Data Visualization

The best way to share your insights is through data visualization, so many data analytics courses will cover this topic. Tools like Tableau and Power BI are great for data visualization (in addition to Excel) and help you make it easier to spot trends, communicate your findings, and explain what’s going on to people who may not have the same data skills as you such as stakeholders or marketing teams. This makes it easier for everyone to get on the same page and act quickly to understand how business operations can improve.

Machine Learning Basics

While not every Data Analyst will need to study machine learning, some advanced courses may cover it to an extent. Understanding the basics can help you stand out among other analysis experts. Machine learning can provide algorithms that make it easier to identify patterns within larger datasets. At a minimum, it may be useful to learn supervised and unsupervised learning as well as how to train a model. With this, you can take your analytics skills to the next level and predict future trends quickly.

How Hard is It to Learn Data Analytics?

Learning data analytics can be a little tricky, particularly if you are starting your educational journey from the beginning. However, what’s difficult for one person may be relatively easy for another. If you’re new to the field and hoping to turn it into a career, some concepts may feel overwhelming but they are not impossible to learn. With the right approach, you can learn the basics or the more advanced concepts. Having a background in a related skill such as mathematics or information technology, may make the learning process easier too. Plus, if you’ve already learned how to use certain tools such as Excel, you’re already one step ahead.

What Are the Most Challenging Parts of Learning Data Analytics?

Data analytics has some hurdles to overcome. The hardest parts can vary but most agree that data cleansing and preparation, especially for large datasets, is relatively tough. This is because it requires a lot of time and effort. Another challenge involves the mathematics and programming side of things such as while creating predictive models and machine learning models. This presents a relatively heft learning curve if you aren’t already well-versed. It also matters whether you’re naturally inclined to technology and analytical thinking, but despite all this, you can overcome these challenges while learning data analytics.

How Long Does It Take to Learn Data Analytics?

The time it takes to learn data analytics typically depends on a few key factors: your previous or relevant experience and the level of expertise you want to obtain. If you have some prior knowledge in adjacent skills, it may not take as long to learn data analytics. On the other hand, if you have little to no experience, it’s going to take additional time. Similarly, if you want to gain a basic understanding of data analytics skills, you can perhaps spend a few weeks to a few months perfecting tools like Excel, SQL, or Tableau. If you want to become a professional Data Analyst, you can expect to spend a few months to a year or more studying and mastering all the different tools, techniques, and terms associated with data analytics.

Should I Learn Data Analytics in Person or Online?

When deciding between in-person and online courses, you’ll have to consider things like your schedule, preferences, learning needs, and end goals. In-person learning offers a more traditional classroom experience which can be great if you prefer direct interaction with the material, your classmates, and the instructor. In-person training provides hands-on practice and interaction but the main thing to consider is your schedule. If you don’t have the time (or transportation) to make the commute, this may be less than ideal.

However, there’s an alternative to in-person training if you still want a structured, interactive learning experience without the commute. Live online classes allow you to attend classes from anywhere as long as you have a stable internet connection to avoid potential technical issues that could derail your learning experience. Even though it may feel a little less personal due to the virtual setting, you still gain ample feedback and assistance from the instructor.

If you need even more flexibility in your learning journey, you could consider asynchronous training. These are self-paced courses that allow you to learn whenever it suits your schedule. There’s no instructor so you won’t have anyone to provide assistance or feedback, which is why it isn’t exactly a good option for students with little experience or those who want to work their way up to become Data Analyst professionals. Still, asynchronous classes can foster strong self-discipline and time management skills and may be good for current data analytics professionals who want to sharpen their skills or refresh their memories.

Can I Learn Data Analytics Free Online?

You can explore free online resources before enrolling in a data analytics course as a way to familiarize yourself with relevant terms, concepts, and tools. There are tons of resources out there, like tutorials on YouTube such as Noble Desktop’s extensive group of playlists on Excel, Python, SQL, and general data science information. Moreover, it would be useful to explore training center websites for blogs and pre-recorded lectures such as those offered on Noble Desktop’s Free Seminar page. Otherwise, there are countless social media accounts that offer more insight into the data analytics field and you can find other online groups such as discussion boards, chatrooms, and forums. Still, consider your end goal. If you want to become a professional, a free resource is only step one. You will need a more comprehensive way of learning that fosters professional development.

What Should I Learn Alongside Data Analytics?

Exploring data analytics is just one useful skill among many others. For instance, you may want to learn more about artificial intelligence (AI) and machine learning. These skills supplement your data analytics training and make it easier to automate tasks and make data-driven decisions. Ultimately, with the combination of these skills, you can handle more complex datasets.

Moreover, you may want to learn business intelligence (BI) tools like Power BI. This is especially true if you’re leaning more toward business analytics. Power BI lets you create clear, visually attractive data visualizations that convey complex information with simplicity. Plus, since Power BI comes from Microsoft, it can integrate seamlessly with Excel, a commonly used data analytics tool.

Industries That Use Data Analytics

Data analytics is used in virtually every industry and at any company where data is essential for success and development. It helps companies make better decisions and optimize operations, whether it’s healthcare and technology or education and finance. In this section, you can learn more about the most successful Baltimore industries and decide which one may be right for you based on your interests, preferences, and training.

Healthcare

One of the most successful industries in the country, let alone Baltimore, is healthcare. Baltimore has some of the nation’s best medical institutions such as Johns Hopkins University, where there are numerous career opportunities for medical professionals as well as those who work behind the scenes. The city is a hub for healthcare innovation, research, and services, with both private and public health organizations developing and using cutting-edge technologies to improve patient care and operational efficiency.

In healthcare, data analytics is used to improve patient outcomes and streamline workplace operations. This could mean tracking patient data and predicting their needs from the results. It could also consist of optimizing hospital workflows, allowing healthcare providers to move seamlessly from patient to patient, case to case. Furthermore, it assists with identifying trends in community health data so diseases and illnesses can avoid being spread. It’s used in preventative care, reducing remission rates, and cutting down on healthcare costs.

Technology

With an emerging tech space, Baltimore has major companies, small businesses, and startups that make up a good portion of the local economy. Its proximity to Washington, D.C., as well as the National Security Agency in Fort G. Meade, Maryland, also makes it a center for technological innovation, particularly for cybersecurity and software development. The city itself sees steady growth and the tech industry shows no signs of slowing, so this is a worthwhile city for aspiring tech professionals.

In the tech industry, data analytics is king. It’s used to improve everything from products and consumer experience to algorithms and workplace operations. For example, companies in Baltimore may use analytics to enhance their application’s performance. They may develop machine learning models that predict trends through automation. It’s also essential for cybersecurity such as detecting fraudulent activity and preventing security breaches. All in all, analytics helps tech companies stay afloat in a competitive market.

Education

As home to Johns Hopkins University, one of the most well-known in the country, Baltimore has a thriving education industry rife with opportunity. The city also has public and charter schools that exceed expectations and frequently adopt new technology to improve educational outcomes for students and faculty alike. As education evolves and becomes more intertwined with tech, data has become a central force in supporting the education industry, which in turn helps support Baltimore’s local economy.

Because data analytics is increasingly necessary for educational institutions, Data Analysts can find work in universities, community colleges, public schools, and training centers. In Baltimore schools, for example, data can help administrators monitor and understand test scores so curricula can be updated in the following year. Moreover, analytics can be applied to optimize resource allocation and improve faculty efficiency. This enables educators to make better decisions that can directly impact student outcomes and success.

Finance

Baltimore’s finance industry is supported by several top-name banks, insurance companies, and financial services firms. The city has a strong FinTech presence as well since there’s a strong connection with the technology sector, so local startups emerge yearly. This industry depends heavily on data to help make informed decisions and keep the ball rolling with innovations as well as maintain users’ sensitive financial information.

As a result, data analytics is virtually indispensable for financial companies. It’s useful for things like risk management, or otherwise determining which investments will have unfulfilling payoffs. In addition, many financial Data Analysts are tasked with detecting fraud and helping figure out how to prevent it. Data Analysts and cybersecurity teams may band together to prevent any data breaches and financial losses. By monitoring transactions for fraudulent activity, the financial institution can remain trustworthy in the consumer’s eyes.

Data Analytics Job Titles and Salaries

If you’re in the Baltimore area and interested in taking your data analytics training into the professional world, you can work in numerous positions. Whether you want to become an analyst, engineer, or administrator, you can find lucrative and worthwhile careers across all kinds of industries. Read below to learn more about the different jobs a data analytics education can provide.

Data Analyst

Data Analysts are tasked with sorting through data, cleansing and preprocessing it for clarity, and identifying patterns. These patterns provide insights that allow businesses, teams, or clients to make smarter decisions going forward with their projects or endeavors. According to Indeed, a Data Analyst in the Baltimore region earns an average of $79,000 each year, but this range can vary substantially. In fact, just 23 minutes outside of Baltimore in Owings Mills, the average is closer to $98,000 according to the reported salaries in that area.

Machine Learning Engineer

A Machine Learning Engineer is someone who teaches computers to learn from data and make predictions on their own. They do this by building algorithms and models that make it easy to spot trends and make decisions. They combine the world of AI with data analytics and speed up the process. With appropriate training, a data analytics student can become a Machine Learning Engineer. In Baltimore, a Machine Learning Engineer earns between $94,000 and $144,000 each year with an average of $117,000 per data compiled from Glassdoor. However, salary expectations vary based on whether you’re an entry-level or lead engineer.

Database Administrator

Database Administrators keep databases organized and operating at maximum efficiency. They set up and maintain the data within a database, ensuring everything is where it is supposed to be. This makes the data analysis process much easier. Indeed shares that a Baltimore-based Database Administrator earns an average base salary of nearly $115,000. However, just outside of Baltimore, in Annapolis Junction, a Database Administrator can earn closer to $162,000, so there are likely varied salary expectations in this region for this role.

Business Analyst

A Business Analyst helps make connections for non-data professionals. They help those who work solely on the business side of things figure out the meaning behind datasets and trends. In other words, they are problem-solvers for those who aren’t sure what to make of all the data they’ve collected. The expected pay range for a Business Analyst in Baltimore is roughly $70,000 to $112,000, according to Glassdoor. The average is closer to $89,000 but there are typically opportunities for additional pay and career development with time and experience.

Data Analytics Classes Near Me

If you want an in-depth look into data analytics, consider checking out Noble Desktop’s Data Analytics Certificate. This course gives you an in-depth look at Excel for data analytics, Tableau for data visualizations, and Python for data science, automation, machine learning, and data visualizations. Plus, you can take the Python for AI course at no additional cost with this certificate. You’ll get introduction topics such as how to interpret results from advanced data analysis techniques and practice extracting information with SQL from relational databases. Moreover, you’ll use Python and Tableau to visualize data so anyone can understand your findings. Beyond that, you’ll practice machine learning principles and develop a data analytics portfolio that shows potential employers all your skills. After 156 hours of total instruction, you’ll leave with a clear understanding of data analytics and earn a certificate of completion to serve as proof of your hard work.

Otherwise, you can explore the Data Science and AI Certificate. Over 114 hours of total instruction, you will practice using Python and SQL for automation, data visualization, and machine learning concepts. Specifically, you’ll analyze tabular data with NumPy and clean and balance data in Pandas. Moreover, you’ll practice data visualizations with Matplotlib. You’ll complete hands-on projects like animated bar chart races in Python or using user-defined functions in SQL to query databases. Plus, you can attend the Python for AI course for free once you enroll in this certificate program! All in all, this course gives you an all-encompassing look into the world of data analytics and leaves you with a developed portfolio, a certificate of completion, and a well-rounded data analytics education.

Noble Desktop also has a technology-specific course titled Data Analytics Technologies Bootcamp. This course lasts 51 hours and includes eight separate units that cover Excel, SQL, and Tableau. You’ll learn to use SQL to sort, filter, and summarize data and practice visualizing data in Excel with Pivot Tables, charts, and tables. Furthermore, you’ll learn how to manipulate, format, and understand data in Tableau. You’ll explore the most advanced database queries and procedures and feel comfortable presenting your visualizations to others by the end of the course.

In Laurel, Maryland, you can enroll in the SQL Querying: Basic course from Certstaffix Training. Here, you’ll spend two days learning basic SQL skills and exploring database concepts like grouping and summarizing data. Furthermore, you’ll learn how to join tables and clauses. Further, you’ll study writing simple queries and practice using built-in functions. The lab environment promotes hands-on learning and interaction with the material.

The American Management Association offers an Advanced Tools and Techniques for Data Analytics course in Baltimore that provides an interactive exploration into statistical and predictive analysis as well as data visualization tools. Further, you’ll learn how to apply your skills to practical data analytics situations, making it ideal for those who want to turn their data analytics skills into a full-blown career.

At the Human Resources Institute in Oxon Hill, you can enroll in the Microsoft Excel: Level I course. This two-day exploration into the foundational Excel techniques and tools will prepare you to partake in numerous data analytics situations. Specifically, you’ll practice data entry and calculation in addition to text functions, formatting, and charts. This program is intended for those who wish to become or already are federal employees.

Data Analytics Corporate Training

Corporate training is becoming increasingly common among the most successful companies, both big and small. That’s because it’s an ideal way to upskill any team, including the data analytics team. It enables them to work more efficiently and effectively with data and also with one another. By investing in training, companies can ensure their teams are equipped with the skills and techniques necessary to improve their data-driven decisions, optimize workflows, and solve complex challenges. For comprehensive training, Noble Desktop offers customizable corporate training sessions, both in-person and live online, that meet the standards and needs of any organization, regardless of size or location.

In addition to Noble Desktop offering accessible and flexible training, they also give your organization the chance to purchase bulk vouchers for regular classes at a discounted rate, which provides a cost-effective way for team members to keep learning. If you are ready to elevate your team’s data analytics skills and improve overall workflow, consider reaching out to Noble Desktop at corporate@nobledesktop.com to discuss pricing, scheduling, and training options.

Enter your email to subscribe to more articles about Data Analytics.

Baltimore Data Analytics Courses by School

Here are some of the top Baltimore schools offering Data Analytics training, including ONLC Training Centers (24 courses), General Assembly (14 courses), and Certstaffix Training (13 courses). We’ve also included 9 schools that offer live online courses you can take from anywhere, including Baltimore.

Noble Desktop

NYC location: 185 Madison Avenue, New York, NY

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 curricula, and education from top industry experts.
- Data Analytics Certificate
  - 156 Hours
  - $4,995
General Assembly

Washington, D.C. location: 509 7th Street NW, Washington, DC

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.
- Data Analytics Bootcamp (Online)
  - 12 Weeks
  - $16,450
- Data Science Short Course (Online)
  - 10 Weeks
  - $4,500
- Data Analytics Short Course (Online)
  - 10 Weeks
  - $4,500
- Data Science Bootcamp (Online)
  - 12 Weeks
  - $16,450
NYIM Training

NYC location: 185 Madison Avenue, New York, NY

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.
- Data Analytics Technologies Bootcamp
  - 51 Hours
  - $1,949
NYC Career Centers

NYC location: 185 Madison Avenue, New York, NY

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 and accounting, data analytics, Microsoft Office, and design.
- Data Analytics Technologies Bootcamp
  - 51 Hours
  - $1,949
Fullstack Academy
Locations:
- NYC
- Chicago
- Live Online
Fullstack Academy offers immersive development bootcamps in coding, web development, cybersecurity and data analytics. Fullstack Academy provides training in industry-standard software development practices such as test-driven developments and paired programming.
- Online Data Analytics Bootcamp (Full or Part Time)
  - 10 Weeks
  - $14,495
Certstaffix Training

Baltimore location: 14502 Greenview Drive, Laurel, MD

Certstaffix offers live online classes and group training onsite for corporate entities all over the U.S. They provide courses in End-user/Desktop, IT Pro Skills, Online Marketing, Business Skills, and Programming/Development.
- SQL Querying - Basic
  - 2 Days
  - $990
- SQL Querying - Advanced
  - 1 Day
  - $495
- MySQL Workbench: Data Modeling & Development
  - 4 Days
  - $2,280
- Tableau Desktop: Advanced
  - 2 Days
  - $1,240
Ledet Training

Washington, D.C. location: 1634 I Street NW, Washington, DC

Ledet Training offers graphics and mobile training courses on-site across the U.S. including Washington, Denver, Atlanta, Phoenix, Los Angeles, Portland, Houston, and Fort Lauderdale.
- Tableau 101
  - 2 Days
  - $899
- Tableau 201 - Tableau Advanced
  - 3 Days
  - $1,499
- Tableau 501 - Tableau Bootcamp
  - 5 Days
  - $2,199
- Microsoft Excel 101 - Microsoft Excel Introduction
  - 1 Day
  - $399
New Horizons

Washington, D.C. location: 2010 Coroporate Ridge, McLean, VA

Offering on-site training all over the world and online, New Horizons is a computer learning center. New Horizons offers training for top technology providers like Adobe, Citrix, and Microsoft.
- Using Data Science Tools in Python
  - 2 Days
  - $1,198
- SQL Querying Fundamentals - Part 1
  - 1 Day
  - $495
- SQL Querying Fundamentals - Part 2
  - 1 Day
  - $495
- Tableau Desktop - Part 1
  - 2 Days
  - $1,190
Flatiron School

Washington, D.C. location: 1440 G St NW, Washington D.C, DC

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.
- Data Science Bootcamp
  - 3 Months
  - $16,900
ONLC Training Centers

Baltimore location: 10320 Little Patuxent Pkwy, Columbia, MD

ONLC has over 300 training sites and offers courses and certificates in many areas including desktop applications like Adobe, Microsoft Technical like Visual Studio, Server and Security, and Process and Programming like Java and Web Development.
- Tableau Desktop Level 1: Introduction for Novice Users
  - 20 Hours
  - $1,495
- Tableau Desktop Level 3: Dashboard Deep Dive
  - 13 Hours
  - $1,095
- Excel Charts, Formatting and Reporting
  - 13 Hours
  - $295
- Excel Tips, Tricks and Timesavers
  - 6 Hours
  - $295

Showing 10 of 16 schools

Baltimore Data Analytics
Corporate & Onsite Training

Upskill or reskill your workforce with our industry-leading corporate and onsite Data Analytics training programs. Conduct the training onsite at your location or live online from anywhere. You can also purchase vouchers for our public enrollment Data Analytics courses.

corporate@nobledesktop.com (212) 226-4149

Data Analytics Training Locations in or Near Baltimore

Find an in-person class in Baltimore or in nearby Washington, D.C.. We found 1 school offering face-to-face training, 2 schools offering access to a computer lab (remote instructor), and 2 offering live online Data Analytics courses.

Baltimore Careers & Salaries Related to Data Analytics

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

$90,000 / year in Baltimore
Same as the U.S. average
Data Analyst

$84,000 / year in Baltimore
3% more than the U.S. average
Business Analyst

$88,000 / year in Baltimore
3% more than the U.S. average

Showing 3 of 3 career paths

Indeed.com salary data from March 2025

How Data Analytics can advance your career

Top Certificate Programs

Top Courses

Top Certificate Programs

Top Certificate Programs

Top Courses

Top Certificate Programs

Top Courses

Data Analytics Certificate Learn The Skills Guarantee™

Key Insights

Learn More About Baltimore Data Analytics Courses

What is Data Analytics?

What Can You Do with Data Analytics Training?

What Will I Learn in a Data Analytics Class?

Data Cleansing and Preprocessing

Programming Languages

Microsoft Excel

Data Visualization

Machine Learning Basics

How Hard is It to Learn Data Analytics?

What Are the Most Challenging Parts of Learning Data Analytics?

How Long Does It Take to Learn Data Analytics?

Should I Learn Data Analytics in Person or Online?

Can I Learn Data Analytics Free Online?

What Should I Learn Alongside Data Analytics?

Industries That Use Data Analytics

Healthcare

Technology

Education

Finance

Data Analytics Job Titles and Salaries

Data Analyst

Machine Learning Engineer

Database Administrator

Business Analyst

Data Analytics Classes Near Me

Data Analytics Corporate Training

Baltimore Data Analytics Courses by School

Data Analytics Bootcamp (Online)

Data Science Short Course (Online)

Data Analytics Short Course (Online)

Data Science Bootcamp (Online)

Data Analytics Technologies Bootcamp

Data Analytics Technologies Bootcamp

Online Data Analytics Bootcamp (Full or Part Time)

SQL Querying - Basic

SQL Querying - Advanced

MySQL Workbench: Data Modeling & Development

Tableau Desktop: Advanced

Tableau 101

Tableau 201 - Tableau Advanced

Tableau 501 - Tableau Bootcamp

Microsoft Excel 101 - Microsoft Excel Introduction

Using Data Science Tools in Python

SQL Querying Fundamentals - Part 1

SQL Querying Fundamentals - Part 2

Tableau Desktop - Part 1

Data Science Bootcamp

Tableau Desktop Level 1: Introduction for Novice Users

Tableau Desktop Level 3: Dashboard Deep Dive

Excel Charts, Formatting and Reporting

Excel Tips, Tricks and Timesavers

Baltimore Data Analytics Corporate & Onsite Training Noble Desktop

Data Analytics Training Locations in or Near Baltimore

Baltimore Careers & Salaries Related to Data Analytics

Related Classes

Baltimore Data Analytics
Corporate & Onsite Training