Best Data Analytics Certificates Virginia: 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
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 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.

Available live online (virtual training) from anywhere
- $1,495
- 30 Hours
- Weekdays, Evenings, or Weekends
- Beginner
- Free Retake
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Noble Desktop SQL Bootcamp

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.

Available live online (virtual training) from anywhere
- $975
- 18 Hours
- Weekdays or Evenings
- Beginner
- Free Retake
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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.

Available live online (virtual training) from anywhere
- $16,450
- 12 Weeks
- Weekdays or Evenings
- Beginner
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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
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Virginia Tech Online Data Analytics Bootcamp (Full or Part Time)

Step into the data-driven world with Virginia Tech's Data Analytics Bootcamp, a Fullstack Academy-powered program. This online course, spanning 10 to 26 weeks, provides in-depth training in tools like Excel, SQL, and Python and equips students with hands-on experience for roles such as Data Analyst and Insights Analyst.

In-person in Virginia (location TBD)
- $14,495
- 10 Weeks
- Weekdays
- Beginner
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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. 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.

Available live online (virtual training) from anywhere
- $4,500
- 6 Months, 25 hr/wk
- Weekdays
- Intermediate
- Money-back guarantee
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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
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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.

Available live online (virtual training) from anywhere
- $16,450
- 12 Weeks
- Weekdays
- Intermediate
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Virginia Tech Online AI & Machine Learning Bootcamp

Transform your career with Virginia Tech's AI & Machine Learning Bootcamp, an innovative program powered by Fullstack Academy. Over 26 weeks in this part-time, online course, students explore the practical and theoretical aspects of AI and machine learning, using real-world tools to prepare for roles in the rapidly growing data field.

In-person in Virginia (location TBD)
- $14,495
- 26 Weeks
- Weekdays
- Beginner
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showing 10 of 12 courses

Explore the dynamic field of data analytics through certification, mastering essential skills like programming languages, data visualization, and machine learning techniques. Unlock career opportunities across industries like healthcare and technology, where data-driven insights drive innovation.

Key Insights

Data analytics certification equips professionals with expertise in critical skills such as data cleaning and preprocessing, statistical analysis, and machine learning, enabling accurate interpretation and utilization of large datasets.
Proficiency in programming languages, specifically Python, R, and SQL, is essential for effectively performing data analysis tasks, including database management, query optimization, and statistical modeling.
In Virginia's robust technology and healthcare industries, companies like Amazon Web Services, Microsoft Azure, Inova Health System, and Sentara Healthcare increasingly depend on skilled data analytics professionals to optimize operations, manage cloud-based solutions, and enhance patient care outcomes.

Learn more below

Learn More About Virginia Data Analytics Certificates

What is Data Analytics?

Data analytics is a discipline that involves the examination, interpretation, and modeling of data to extract meaningful insights and inform decision-making. The history of data analytics can be traced back to the early days of computing when businesses started utilizing data processing techniques to gain a competitive edge. However, the field has witnessed significant evolution, particularly in recent decades with the advent of big data and advanced computing technologies. Today, data analytics encompasses a wide range of methods, tools, and technologies that enable organizations to analyze large and complex datasets to uncover patterns, trends, and correlations, ultimately facilitating informed business strategies.

Data analytics plays a crucial role across various industries. Businesses leverage data analytics to enhance operational efficiency, optimize supply chains, and improve customer experiences. In finance, it aids in risk management and fraud detection. Healthcare utilizes data analytics for patient care optimization and disease prediction. Governments use data analytics for policy formulation and public service improvement. The common thread is the ability to turn vast amounts of data into actionable insights, empowering decision-makers to make informed choices that drive innovation and efficiency in diverse sectors. The growing demand for skilled professionals in data analytics reflects its integral role in shaping the contemporary landscape of business and technology.

Why Become Certified in Data Analytics?

Becoming certified in data analytics is a strategic and valuable investment in one’s professional development. A data analytics certificate serves as tangible proof of an individual’s proficiency and expertise in the field. In an era where data-driven decision-making is vital across industries, employers seek professionals who can effectively harness and analyze data to derive actionable insights. Certification provides a standardized measure of competence, offering employers assurance that an individual possesses the necessary skills for their posted positions.

A data analytics certification enhances career prospects by opening doors to a multitude of opportunities. As organizations increasingly prioritize data-driven strategies, there is a growing demand for professionals who can leverage data to inform business decisions. Whether in finance, healthcare, marketing, or any other industry, the ability to interpret and utilize data effectively is a sought-after skill. Certification not only validates one’s capabilities but also distinguishes individuals in a competitive job market.

Finally, a data analytics certification is a dynamic asset that adapts to the evolving landscape of data technologies and methodologies. It demonstrates a commitment to staying current with industry best practices and emerging trends. As data analytics continues to advance, certified professionals remain at the forefront of innovation. Overall, a data analytics certification is a strategic move for professionals aspiring to advance their careers, contribute meaningfully to their organizations, and stay relevant in a rapidly evolving data-driven world.

What You’ll Learn While Becoming Data Analytics Certified

Over the course of a data analytics certificate, you’ll gain a comprehensive skill set needed to navigate the complexities of the field. For example, you’ll learn data wrangling and cleaning, ensuring the quality and usability of datasets. You’ll also learn statistical analysis and modeling, which will empower you to extract meaningful patterns and make informed decisions.

Programming Languages

Programming languages are crucial tools in the field of data analytics, providing the means to manipulate, analyze, and derive insights from vast datasets. Data analytics involves processing and interpreting large volumes of information to uncover patterns, trends, and valuable insights. Various programming languages, such as Python, R, and SQL, are commonly used in data analytics for tasks like data cleaning, statistical analysis, machine learning, and database querying.

Data Visualization

Data visualization is a crucial component of data analytics that involves representing complex data sets visually through charts, graphs, and other graphical elements. It plays a vital role in making large and intricate datasets more understandable and accessible to both technical and non-technical audiences. Effective data visualization not only facilitates the communication of insights but also aids in the identification of patterns and trends within the data.

Database Management

Database management is a critical aspect of data analytics that involves the efficient storage, retrieval, and organization of large volumes of data. In the realm of data analytics, databases serve as repositories for structured and unstructured data, providing a structured framework for analysts to perform queries, aggregations, and other operations. Well-designed database systems, such as relational databases managed through systems like MySQL or PostgreSQL, are essential for optimizing data analytics processes, ensuring data integrity, and enabling rapid access to relevant information.

Machine Learning Techniques

Machine learning techniques form a critical component of data analytics, offering algorithms and models that enable systems to learn patterns from data and make predictions or decisions. In data analytics, machine learning is applied to uncover hidden insights, identify trends, and build predictive models from large and complex datasets. Techniques such as supervised learning for classification and regression, unsupervised learning for clustering and dimensionality reduction, and reinforcement learning for decision-making contribute to the analytic toolkit.

Data Cleaning and Preprocessing

Data cleaning and preprocessing are essential steps in the data analytics process, involving the identification and correction of errors, inconsistencies, and missing values in datasets. Inaccurate or incomplete data can significantly impact the result of analyses, making cleaning and preprocessing an important step toward data quality. By addressing issues such as outliers, duplicates, and formatting discrepancies, analysts enhance the reliability of their analyses, allowing for more accurate and meaningful insights.

Data Analytics Industries in Virginia

Virginia is home to a diverse range of industries that actively leverage data analytics to gain a competitive edge. In the technology hub of Northern Virginia, companies like Amazon Web Services and Microsoft Azure are at the forefront of cloud computing and data analytics services. Professionals with skills in data analytics are crucial in optimizing cloud-based solutions, managing large datasets, and providing valuable insights to enhance decision-making processes.

The healthcare sector in Virginia, represented by organizations like Inova Health System and Sentara Healthcare, heavily relies on data analytics to improve patient outcomes, optimize resource allocation, and streamline operations. With the increasing adoption of electronic health records and the focus on personalized medicine, data analytics plays a pivotal role in extracting meaningful insights from healthcare data.

In the financial industry, companies like Capital One, headquartered in McLean, utilize data analytics to assess risk, detect fraud, and personalize financial services for their customers. The ability to analyze vast amounts of financial data is crucial for making informed investment decisions and enhancing customer experiences, making data analytics highly sought after in this sector.

Finally, the defense and intelligence sector, prominent in the Hampton Roads area with organizations like Northrop Grumman and Booz Allen Hamilton, extensively employs data analysis for intelligence gathering, threat analysis, and strategic decision-making. Professionals in this field need advanced analytics skills to sift through massive datasets, identify patterns, and extract actionable intelligence.

Data Analytics Careers in Virginia

Data Scientists are professionals who leverage their expertise in mathematics, statistics, and programming to analyze large and complex datasets. They design and implement machine learning models, develop algorithms, and use statistical techniques to extract meaningful insights and patterns from data. Data Scientists play a crucial role in informing business decisions, solving complex problems, and contributing to innovation by interpreting data to provide actionable recommendations and predictions. Data Scientists in Virginia can expect to make from $109,000 to $159,000. According to the Bureau of Labor Statistics, demand for Data Scientists and related professions will grow 35% from 2022 to 2024.

Data Analysts examine and interpret data to provide insights that inform business decisions. They collect, clean, and process data, employing statistical methods and data visualization tools to identify trends, patterns, and relationships within datasets. Data Analysts play a key role in helping organizations understand their performance, customer behavior, and market trends, enabling informed decision-making. Their work involves translating complex data into actionable recommendations, often contributing to the strategic planning and operational efficiency of a business. Data Analysts in Virginia can expect to make $65,000 to $103,000.

Machine Learning Engineers are specialists who design, build, and implement machine learning models and systems. They work at the intersection of software engineering and data science, developing algorithms that enable machines to learn and make predictions or decisions based on data. Machine Learning Engineers are responsible for training and fine-tuning models, optimizing their performance, and deploying them into production environments. Machine Learning Engineers in Virginia can expect to make anywhere from $95,000 to $210,000.

Should You Pursue a Certificate or Certification

Certificates and certifications are distinct credentials that signify different levels of expertise and achievement in a particular field. A certificate is typically awarded upon the completion of a course or program, often by an educational institution or training provider. It attests to the acquisition of specific skills or knowledge but may not always be standardized across the industry. On the other hand, a certification is a formal recognition by a professional organization or governing body that an individual has met predetermined standards of competency. Certifications often involve passing a standardized exam and may require practical experience.

For beginners entering a new field, pursuing a certificate is often a sensible first step. These programs are usually shorter in duration and focus on the basics, allowing beginners to gain a solid understanding of the subject matter. As individuals progress in their careers and gain more experience, pursuing a certification becomes a logical next step. Enrolling in a certificate program can also serve as a stepping stone for those aiming to eventually pursue a certification, providing a structured path to build the necessary skills and knowledge. For those not ready for the commitment of a certificate or certification program, entry-level courses, like Noble Desktop’s Data Analytics Foundation, can offer a gentle introduction to a subject without the same level of time and resource investment.

Top Data Analytics Certificate Programs in Virginia

Enrolling in a data analytics certificate program in Virginia is a strategic investment for individuals seeking to advance their careers in a rapidly evolving field. These programs offer a structured curriculum that covers essential data analytics concepts, tools, and techniques, providing participants with hands-on experience in handling and analyzing real-world datasets. By attending a certificate program, individuals can develop in-demand skills, stay abreast of industry trends, and enhance their marketability.

Introduction to Data Science, Machine Learning and AI

Learning Tree International has a class called Introduction to Data Science, Machine Learning and AI. This course begins by providing an overview of the role of a data scientist and the lifecycle of data science initiatives within organizations. Participants will then delve into practical technical skills, leveraging Python and relevant libraries for data analysis, visualization, preprocessing unstructured data, and building AI/ML models.

Throughout the training, key machine learning algorithms such as linear regression, decision tree classifiers, and clustering algorithms will be explored. There will be a focus on real-world applications like predicting customer churn and constructing recommendation engines. The hands-on nature of the course ensures that participants actively engage in exercises and projects, translating theoretical concepts into practical expertise.

Using Data to Drive Strategy

The American Management Association has a class called Using Data to Drive Strategy. Designed for non-technical managers seeking to make evidence-based decisions, the course covers key topics ranging from pinpointing key performance indicators to using basic data analysis tools to interpret datasets. The program empowers individuals to drive business strategy, improve services, and build a competitive edge through data-driven decision-making.

Throughout the course, participants will explore the intricacies of data-driven management, including adapting to emerging trends, cultivating a team with a curiosity for data, and taking a systematic approach to data analysis. The curriculum also dives into understanding data, big data, artificial intelligence, and machine learning, offering practical insights into their applications. By the end of the training, participants will be equipped to make data-driven decisions confidently.

Data Analysis Bootcamp

APSE Inc. has a course called Data Analysis Bootcamp. Tailored for those with basic familiarity with Excel, the course imparts practical applied analysis techniques that empower individuals to make informed decisions using data. Through the lens of real-world business examples, attendees will explore data quality assessment, foundational analysis, and statistical techniques, mastering the art of translating data into actionable insights that drive organizational advancement.

This data analysis bootcamp combines expert instruction with hands-on exercises, allowing immediate application of newfound skills. Upon completion, participants will be adept at identifying opportunities, managing change, and gaining visibility into their organizations. Participants will leave ready to implement practical analysis techniques, immediately contributing value upon returning to their workplaces.

Data Analytics Certificate

Noble Desktop has a class called Data Analytics Certificate. Focused on gathering, wrangling, analyzing, and visualizing data using diverse tools and technologies, the curriculum is tailored to empower students to contribute significantly to business decision-making and strategy. The course doesn’t just dive into theoretical concepts. It also provides an immersive experience through multiple real-world projects, allowing students to apply their newfound skills and enrich their portfolios.

Throughout this training, students will delve into the realms of both predictive and prescriptive analytics through engaging case studies. Predictive analytics, employing regression models and forecasting techniques, enable the examination of past data to anticipate future outcomes. Prescriptive analytics emerges as a powerful tool for optimizing decision-making under constraints. Students will explore prescriptive and predictive analytics through real-world projects, gaining practical insights directly applicable to industry scenarios.

Excel for Data Analytics

Noble Desktop also has a class called Excel for Data Analytics. Tailored for those aspiring to dive into data analytics, this class offers a focused exploration of Excel’s database functions, analytic tools, and advanced techniques. This class is suitable for both beginners seeking to learn Excel and individuals looking to deepen their data analytics skills. Under the guidance of an experienced instructor, participants will engage in hands-on projects that teach essential core functions and formulas.

Participants will emerge with a comprehensive understanding of advanced techniques, including sorting, filtering, grouping, and data visualization in Excel. By the end of the course, attendees will not only have a robust grasp of Excel’s data analytic capabilities but also possess the practical skills to employ these tools effectively in a professional setting.

Data Analytics with Tableau

General Assembly has a course called Data Analytics with Tableau. This workshop serves as an introduction to the powerful Tableau software, equipping participants with essential skills to connect to, interpret, and analyze data visually. Throughout the program, attendees will navigate sample data sets, gaining hands-on experience to create Tableau Dashboards that vividly showcase the insights they uncover. The participants won't just understand the value of visual data but also grasp Tableau’s software offerings and terminology.

Participants will also dive into Tableau Public to connect with and analyze data, gaining practical insights into the software’s capabilities. The program will culminate with the creation and publication of a Tableau Dashboard, allowing participants to apply their newfound skills in a real-world context. Whether they’re a beginner seeking an introduction to visual data discovery or a professional aiming to enhance their data analysis proficiency, this certificate program offers a structured and hands-on approach to unlocking the potential of Tableau.

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Virginia Data Analytics Courses by School

Here are some of the top Virginia schools offering Data Analytics training, including Virginia Tech (2 courses) and University of Richmond Boot Camps (1 course). We’ve also included 6 schools that offer live online courses you can take from anywhere, including Virginia.

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 curriculums, and education from top industry experts.
- Data Analytics Certificate
  - 156 Hours
  - $4,995
- Python for Data Science Bootcamp
  - 30 Hours
  - $1,495
- SQL Bootcamp
  - 18 Hours
  - $975
General Assembly
Locations:
- Atlanta
- Austin
- Boston
- Chicago
- Dallas
- Denver
- Detroit
- Houston
- Los Angeles
- Miami
- Minneapolis
- Nashville
- NYC
- Orlando
- Phoenix
- Raleigh
- Salt Lake City
- San Diego
- San Francisco
- Seattle
- Tampa
- Toronto
- Washington, D.C.
- London
- Charlotte
- Louisville
- St. Louis
- Live Online
- Melbourne
- Sydney
- Paris
- Singapore
+ 27 more
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 Bootcamp (Online)
  - 12 Weeks
  - $16,450
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
Virginia Tech

Virginia Tech, situated in Blacksburg, Virginia, stands out for its robust engineering and computer sciences programs, fostering innovation and research. It is committed to providing hands-on educational experiences that prepare students for real-world challenges.
- Online Data Analytics Bootcamp (Full or Part Time)
  - 10 Weeks
  - $14,495
- Online AI & Machine Learning Bootcamp
  - 26 Weeks
  - $14,495
Thinkful
Locations:
- Live Online
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 Analytics Flex
  - 6 Months, 25 hr/wk
  - $4,500
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
University of Richmond Boot Camps

Richmond location: 490 Westhampton Way, Richmond, VA

The University of Richmond Bootcamp offers part-time courses web development, data analytics, and cybersecurity in Richmond, Virginia. The bootcamps are offered through the University of Richmond School of Professional & Continuing Studies in partnership with Trilogy Education Services.
- Data Analytics Boot Camp
  - 24 Weeks, 10 hr/wk
  - $10,495
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 & accounting, data analytics, Microsoft Office, and design.
- Data Analytics Technologies Bootcamp
  - 51 Hours
  - $1,949

showing 8 of 8 schools

Virginia 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 Virginia

Find an in-person Virginia class in cities including Richmond, Alexandria, Fairfax, Virginia Beach, and Arlington. We found 1 school offering face-to-face training.

Virginia 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

$80,000 / year in Virginia
9% less than the U.S. average
Data Analyst

$78,000 / year in Virginia
5% less than the U.S. average
Business Analyst

$70,000 / year in Virginia
17% less than the U.S. average

showing 3 of 3 career paths

Indeed.com salary data from April 2025

How Data Analytics can advance your career

Top Certificate Programs

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Top Certificate Programs

Top Certificate Programs

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Top Certificate Programs

Top Courses

Data Analytics Certificate Learn The Skills Guarantee™

Key Insights

Learn More About Virginia Data Analytics Certificates

What is Data Analytics?

Why Become Certified in Data Analytics?

What You’ll Learn While Becoming Data Analytics Certified

Programming Languages

Data Visualization

Machine Learning Techniques

Data Cleaning and Preprocessing

Data Analytics Industries in Virginia

Data Analytics Careers in Virginia

Top Data Analytics Certificate Programs in Virginia

Introduction to Data Science, Machine Learning and AI

Using Data to Drive Strategy

Data Analysis Bootcamp

Excel for Data Analytics

Data Analytics with Tableau

Virginia Data Analytics Courses by School

Data Analytics Bootcamp (Online)

Data Science Bootcamp (Online)

Online Data Analytics Bootcamp (Full or Part Time)

Virginia Tech

Online Data Analytics Bootcamp (Full or Part Time)

Online AI & Machine Learning Bootcamp

Data Analytics Flex

Data Analytics Technologies Bootcamp

Data Analytics Boot Camp

Data Analytics Technologies Bootcamp

Virginia Data Analytics Corporate & Onsite Training Noble Desktop

Data Analytics Training Locations in or Near Virginia

Virginia Careers & Salaries Related to Data Analytics

Related Classes

Other Areas Within Virginia

Virginia Data Analytics
Corporate & Onsite Training