Data Science Certificates Live Online: Best Remote/Virtual Data Science Training

Learn More About Live Online Data Science Certificates

What is Data Science?

Data science is a multifaceted discipline that combines statistics, scientific methods, data analysis, and artificial intelligence. Data science aims to extract useful intelligence and actionable insights from structured and unstructured data. Data Scientists use the intelligence they gather from the data to help guide an organization’s decision-making and strategic planning. There is a large volume of data and just as many data sources, which is why data science is one of the fastest growing careers in just about every industry. Every business has data to unlock and leverage to improve their organization, and data science is the key that unlocks it all, helping companies to generate profitable revenue and thrive.

A typical data science project goes through four phases: data collection, data storage and processing, data analysis, and communication. There are a lot of job roles within the field of data science that make it such an invaluable field that has both security and longevity. You’ll find Data Engineers who handle the data pipelines and Machine Learning Engineers who scale machine learning models and optimize their programming. Data science has been used to create the technology that powers statistical incident analysis reports for law enforcement agencies, mobile apps that allow for faster loan services with machine learning-powered credit risk models, and even driverless vehicles with enhanced object detection capabilities.

Why Become Certified in Data Science?

There are a lot of perks to becoming certified in data science. One of the more sought-after perks is the salary hike that tends to come with being certified. Another thing you can look forward to when you have become certified is the confidence that others place in your ability to lead, execute, and complete at a high level. People will trust your expertise in data science or a specific area of it when you are certified. Being certified usually has an expiration date and continuing education credits that you’ll need to keep track of to maintain and recertify.

Earning a certificate in data science can be just as impactful as a certification. They are both big career boosts that can change the trajectory of your career. Becoming certified in data science is going to open new doors and help you decide your career path. Undoubtedly, certification has its perks, but to experience them, you’ll need to be patient and dedicate yourself to improving your professional craft and keeping your skills up-to-date.

What You’ll Learn While Becoming Data Science Certified

As you work towards becoming data science certified, you’ll learn a great deal. Many skills are necessary to succeed in data science. While some certificate programs are more robust than others, there are some fundamental data science skills that any good training program will offer. Some of the skills that you can expect to learn include various computer programming languages, machine learning, data intuition, database management, and analytical tools.

Computer Programming

Several computer programming languages are staples in the field of data science. Python, R, and SQL are some of the more commonly used coding languages that Data Scientists use. Because coding is perhaps the most in-demand skill in data science today, knowing more than one coding language is not only expected but also necessary to perform at a high level. R is crucial to data mining and statistical analysis, while SQL is best suited to database management and querying data.

Machine Learning

When you need to gather and synthesize data efficiently, machine learning is the data science tool that can handle the task. Machine learning can also be used to predict future outcomes. Tools like linear and logistic regression and Random Forest are useful when making predictions. Leveraging the power of machine learning algorithms makes data science far more efficient, so choosing a certificate program that offers instruction in multiple algorithms, including decision tree, K-nearest neighbor, and Naive Bayes is going to give you an upper hand.

Data Intuition

Not only do Data Scientists have to know how to analyze the data, but they also have to apply their judgment and intuition to the data. Sometimes the most influential and insightful data is hidden or doesn’t stand out as the metric to use. But when data intuition is applied to a project, it can make a world of difference. This skill can be taught to some degree, but that instinctual eye is more often developed over time. Having an idea of what to look for and an eye for patterns will take you far in data science.

Database Management

Complex data sets need cleaning and organization before they can be analyzed and easily accessed. Manipulating data is tedious and time-consuming, but it must be done. Data Scientists extract data from many sources and are tasked with transforming it into something that can be analyzed, queried, and stored in a data warehouse system. MySQL, Oracle, MongoDB, Altair, Tamr, Talend, and Trifacta are just a few database management tools that are used to accomplish the wrangling and managing of databases and the data they hold.

Analytical Tools

There are a lot of analytical tools that can be applied to various data sets. Your job role and the scope of a project will inform which tools you’ll need to use to find the data that matters. Tools like Tableau and Matplotlib are helpful when visualizing data, Rapid Miner is useful when forecasting and exploring complex data sets, Qlik Sense is a great tool for machine learning, and Spark will make data processing more efficient. In a certificate program, you’ll likely learn how to leverage many of these tools to solve problems and create actionable insights that will transform an organization.

Data Science Industries

The healthcare industry uses the power of data science to improve patient health and experiences in many ways. Not only does it help physicians to identify, treat, and manage diseases and medical conditions, but it also helps medical administrators to manage, analyze, and assimilate healthcare systems data to streamline budgets, provide better patient care, and reduce wait times. Combining health data from smartphones, wearable medical devices, public records, patient portals, and electronic health records creates a more holistic picture that can be used for early detection of disease, prevention of disease, and better management of diseases. With data science, the healthcare industry is gaining a comprehensive view of patients, clinicians, and consumers allowing healthcare systems to make strategic decisions that improve patient outcomes. Statistical analysis and database management are key skills that the healthcare industry relies heavily upon when integrating data science into its models and systems

Part of retail involves a lot of anticipating customer needs and requests. That is where data science comes in. It helps retailers to predict the wants and expectations of their customers by leveraging a variety of customer insights that have been gathered through surveys, trends, purchasing history, and other relevant metrics. Data analytics is a key player in keeping customers returning to their stores and creating hyper-personalized and relevant shopping experiences. In fact, data science and artificial intelligence are estimated to have a value of $400 to $800 billion for the retail industry globally, according to the McKinsey Global Institute. It’s a competitive edge that allows retailers to be ahead of consumer expectations in a way that can drastically improve profits and the efficacy of marketing campaigns.

The finance industry generates a wealth of data almost every few seconds, so data science is often applied to various aspects of this industry. Financial institutions use data science for risk management. Machine learning technology is helping to mitigate risk by detecting credit card fraud and other fraudulent activity. With so much data coming in and going out, database management is key to optimizing workflows and making queries more efficient. Another way the finance industry is exercising data science is through real-time analyses. By leveraging algorithms and analysis tools, traders can assess trades and predict markets.

Data Science Careers

A Data Scientist is a multifaceted job role. It combines the roles of a mathematician, computer scientist, and business strategist into a position. These individuals have an extremely complex skill set and that’s why they’re so in-demand. One of the biggest skills that Data Scientists have is bringing the data to life for those who don’t understand the technical jargon. They have to present the data in ways that help the decision-makers to come to their decision. There are many tools involved in arriving at the actionable insights they share with stakeholders, including visualization software, statistics, and computer programming. On average, Data Scientists earn a little over $100,000 annually, and you will find them in many different industries. You’ll find Data Scientists working in banking institutions, healthcare systems, and education systems. If there’s data to explore, there’s a need for a Data Scientist.

As big data becomes more important, the demand for Data Architects is increasing. In the role of a Data Architect, you’ll be building blueprints for data management systems to maintain, protect, integrate, and centralize data sources. This position is an intricate combination of the roles of a Data Analyst and a Database Administrator. Data Architects need to understand multiple coding languages and have data warehouse skills to analyze data and manage databases. The average salary for this role is close to $130,000.

Artificial Intelligence Engineers are the people behind intelligent machines. They use large quantities of data in conjunction with sophisticated algorithms to create virtual assistants, streaming service recommendations, and driverless vehicles. AI Engineers build AI models through machine learning algorithms and deep neural networks. A deep understanding of software engineering, programming languages, and data analytics to develop and maintain AI systems. Other responsibilities often include executing statistical analyses, converting machine learning models into APIs other software can use, and automating infrastructure. Because this is such a large undertaking and requires complex multitasking, AI Engineers earn about $115,000 on average.

Information Security Analysts are tasked with protecting an organization’s data, networks, and systems from security breaches. A big part of the work is assessing security risks and developing and implementing security measures. Security audits, vulnerability assessments, and penetration tests need to happen regularly to ensure the safety measures in place are effectively keeping the organization’s data and systems secure. As an Information Security Analyst, you’ll also investigate and respond to security threats and incidents, and you’ll earn a $112,000 salary on average.

Should You Pursue a Certificate or Certification

Although the words are quite similar, there is a difference between having a certification and having a certificate. To get a certificate, you only need to complete a training program that offers a certificate of completion. But to become certified, you’ll need to complete training and pass a standardized exam that is approved by a governing industry body. There are certificate programs that have been created to help prepare students for certification exams. Usually, obtaining certification means that you have extensive experience in a particular topic.

Certificates are a great starting point for beginners, although experts also take certificate courses to keep their data science skills up-to-date or to learn technology that is needed to fulfill their job duties. Many certifications are better suited to people who have more experience than beginning Data Scientists. That’s because some certifications hinge on how long you’ve been in the field and because certain knowledge only comes with experience. When seeking certification, more time is required of the individual. Not only are they required to have the proper training and education, but also to study and sit for the exam.

Pursuing a certificate or certification is a worthwhile investment. It is something that can change the trajectory of your career and your future. Which option is best for you is your choice to make, however, consider your position and your goals when deciding which is best for you.

Top Live Online Data Science Certificate Programs

There are many ways to go about learning data science, but attending a certificate program is one of the fastest ways to get started in a data science career. In as little as a few weeks, you could be ready for an entry-level position in data science. Obtaining a certificate will inspire more confidence in your skills and demonstrate that you have had thorough instruction in data science.

Data Science Certificate

Noble Desktop’s Data Science Certificate is a comprehensive data science certificate program that teaches Python programming, data analysis, SQL querying, and predictive modeling skills to data science beginners. This course prepares its participants for an entry-level job in data science. In this class, you’ll be learning how to manage databases and perform data analyses, while taking part in real-world projects that will kickstart your professional portfolio. When attending classes full-time, you’ll earn your certificate in four weeks; and when attending part-time you’ll be entry-level job-ready in 20 weeks.

Students who enroll in this course have a free retake option within one year of taking the class, 1-on-1 mentoring sessions outside of class times, and flexible payment plans. It’s also VA benefit eligible for veterans looking to start a career in data science. During 1-on-1 mentoring sessions, you can get help understanding concepts, work on improving your portfolio or building your resume, get job search advice, and get support in other areas of data science.

Data Science Bootcamp

At Data Science Dojo, students can enroll in their comprehensive Data Science Bootcamp to learn practical data science and data engineering. In an interactive learning environment, students will enjoy solving real-world data science scenarios that will prepare them for a career in data science. Course topics covered will include predictive modeling, decision trees, model hyperparameters, boosting, A/B testing, linear regression, and real-time analytics. Students will even get a chance to explore big data engineering and recommendation algorithms.

This curriculum includes lectures, hands-on learning, and daily office hours. There are instructor-led live online classes and in-person classes available to beginners from all professional backgrounds. This bootcamp includes software subscriptions, tutorials, recorded live classes, access to the repository of all practice exercises, and a R/Python Jupyter Notebook.

Data Science

BrainStation created this intermediate-level certificate program for students who have experience with Python to teach them job-ready data skills for the real-world. This course gives students a strong foundation in data science and covers topics including creating dynamic data visualizations, data modeling, machine learning, and Python programming. By the end of the course, students will have learned how to conduct end-to-end statistical analyses, make data-driven predictions, and use data visualizations to effectively present results. In just eight weeks, students will have earned a certificate of completion and be ready to start a career in data science.

This Data Science course is taught by expert instructors who have many years of experience in data science. Students will be able to use course projects to build a data science portfolio that will showcase their skills to potential employers. BrainStation has relationships with over 7,000 hiring partners who are looking for emerging talent. And students who complete the course will have access to BrainStorm’s Career Success Team, and join the 90% of students that have gotten hired within 180 days of completing the program.

Data Science Bootcamp

This Data Science Bootcamp is an intermediate-level course for students who are familiar with applied mathematics, Python, and computer programming. This class is offered in-person and online. All participants will need to complete the assigned prework, which covers Python essentials and applied math before the start of class. The prework is meant to ensure that all students are properly prepared to better understand the course material and be more successful in their training. Some topics covered include Python programming, data analysis, statistical modeling, machine learning with algorithms, and decision trees. Several advanced topics and trends are also covered in this class.

As students learn and participate in class projects, they’ll build a portfolio that demonstrates their mastery of the course material to showcase to potential employers. Those who complete this program will have access to 1-on-1 career coaching that will assist them in getting hired. There will also be exclusive networking opportunities made available to enrollees.

Live Online Data Science Courses by School

Here are some of the top Live Online schools offering Data Science training, including Noble Desktop (9 courses), Practical Programming (5 courses), and General Assembly (4 courses).

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
- Data Science & AI Certificate
  - 114 Hours
  - $3,995
- Python for Data Science Bootcamp
  - 30 Hours
  - $1,495
- Python Machine Learning Bootcamp
  - 30 Hours
  - $1,895
General Assembly

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 Science Bootcamp (Online)
  - 12 Weeks
  - $16,450
- 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
Fullstack Academy

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 AI & Machine Learning Bootcamp
  - 26 Weeks
  - $14,495
- Online Data Analytics Bootcamp (Full or Part Time)
  - 10 Weeks
  - $14,495
University of San Diego Tech Bootcamps

San Diego location: 5998 Alcala Park, San Diego, CA

University of San Diego Tech Bootcamps are immersive programs preparing students for careers in tech. Students can take classes in coding or cybersecurity, developing beginner to advanced skills in web development. The University of San Diego has partnered with Fullstack Academy to power its tech bootcamps.
- Online AI & Machine Learning Bootcamp
  - 26 Weeks
  - $14,495
The Tech Bootcamps at UNF

Jacksonville location: 12000 Alumni Dr, Jacksonville, FL

The Tech Bootcamps at the University of North Florida offers 26-week part-time programs in cybersecurity and coding in Jacksonville, Florida. The bootcamps are offered through the Division of Continuing Education in partnership with Fullstack Academy.
- Online AI & Machine Learning Bootcamp
  - 26 Weeks
  - $14,495
Practical Programming

Established in both Chicago and New York, Practical Programming offers online and on-site courses in Python, Data Science, Machine Learning, Web Development, JavaScript, Blockchain, and SQL.
- Python for Data Science Immersive
  - 30 Hours
  - $1,495
- Data Science Certificate
  - See provider
  - See provider
- Machine Learning Immersive
  - 18 Hours
  - $1,195
- Part-Time Data Science Bootcamp
  - 72 Hours
  - $3,195
NYC Data Science Academy

NYC location: 500 8th Ave, New York, NY

NYC Data Science Academy provides data science and data engineering training with comprehensive curriculums in Python, Hadoop, Spark, R, and many more. NYC Data Science Academy offers immersive courses, bootcamps, and job training both online and in-person.
- Data Science Bootcamp - Online
  - 16 Weeks
  - $17,600
- Data Science with Python: Machine Learning
  - 5 Weeks, 4 hr/wk
  - $1,990
Thinkful

Thinkful aims to prepare students for the world’s fast-paced and job-competitive fields in software engineering, data science, data analytics, and design. Its course are held online, and it hosts events at its locations across the U.S. including California, Texas, Chicago, Florida, Washington, Denver, Boston, and Philadelphia.
- Data Science Immersion
  - 5 Months, 40 hr/wk
  - $18,500
- Data Analytics Flex
  - 6 Months, 25 hr/wk
  - $4,500
- Data Analytics Immersion
  - 4 Months, 40 hr/wk
  - $12,250
Ironhack

Ironhack is an international tech school located on nine campuses including Miami, Madrid, Barcelona, Paris, Berlin, Amsterdam, Mexico City, Lisbon, and Sao Paulo. Ironhack offers a variety of bootcamps and immersive courses both online and onsite in web development, UX/UI design, and data analytics.
- Remote Data Analytics Bootcamp (Full-time)
  - 9 Weeks, 40 hr/wk
  - €7.500
- Remote Data Analytics Part-time
  - 24 Weeks, 12 hr/wk
  - €7.500
4Geeks Academy

4Geeks Academy provides a full-stack software development training program onsite in Miami, USA; Caracas, Maracaibo, Venezuela, Madrid, and Santiago, Chile. 4Geeks Academy offers students with 16-week part-time courses where students can learn how to build professional websites and web applications like Coursera. Upon graduation, students will be guided by 4Geeks Academy’s post-training resources like coaching, coding weekends, and community events.
- Data Science and Machine Learning Bootcamp Part Time
  - 16 Weeks, 9 hr/wk
  - $10,999

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Data Analytics Certificate Learn The Skills Guarantee™

Learn More About Live Online Data Science Certificates

What is Data Science?

Why Become Certified in Data Science?

What You’ll Learn While Becoming Data Science Certified

Computer Programming

Machine Learning

Data Intuition

Database Management

Analytical Tools

Data Science Industries

Data Science Careers

Should You Pursue a Certificate or Certification

Top Live Online Data Science Certificate Programs

Data Science Bootcamp

Data Science

Live Online Data Science Courses by School

Data Science Bootcamp (Online)

Data Analytics Bootcamp (Online)

Data Science Short Course (Online)

Data Analytics Short Course (Online)

Online AI & Machine Learning Bootcamp

Online Data Analytics Bootcamp (Full or Part Time)

Online AI & Machine Learning Bootcamp

Online AI & Machine Learning Bootcamp

Python for Data Science Immersive

Data Science Certificate

Machine Learning Immersive

Part-Time Data Science Bootcamp

Data Science Bootcamp - Online

Data Science with Python: Machine Learning

Data Science Immersion

Data Analytics Flex

Data Analytics Immersion

Remote Data Analytics Bootcamp (Full-time)

Remote Data Analytics Part-time

Data Science and Machine Learning Bootcamp Part Time

Live Online Data Science Corporate & Onsite Training Noble Desktop

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