Best Data Science Bootcamps Near Me: Find Bootcamps & Certificates

Key Insights

Data science combines computer science and statistical methods, relying heavily on programming languages such as Python to organize, manage, and interpret vast data sets, helping businesses and organizations make data-driven decisions.

Professionals in data science utilize advanced analytical skills and visualization software like Tableau to transform raw data into actionable insights and clear visual narratives, enhancing communication with stakeholders.

Data Scientists are increasingly involved with machine learning and artificial intelligence projects, developing automated systems capable of analyzing and responding to data inputs independently, thus driving innovation across multiple sectors.

Learn More About Data Science Bootcamps

According to a recent Forbes article, every day, humans produce nearly 2.5 quintillion bytes of data (that is 2,500,000,000,000,000,000 bytes). This number has only steadily increased in the half a decade since this article was published. Human beings generate so much data that specialists have built dedicated programs and tools to help people better collect, organize, and understand this data. Data science is the field of study that emphasizes the importance of data and seeks to build better tools for working with unfathomable amounts of it.

Data science combines computer science and statistics to glean useful insights from raw data. It’s used to make informed business decisions and automate systems. But data science isn’t only being used for business. It’s implemented in healthcare, research, marketing, government, and more. You’re sure to find a meaningful career in data science, no matter where your passions lie.

Why Learn Data Science?

As human lives and activities become increasingly interconnected by digital technologies, data collection and analysis will continue to be vital in keeping large-scale systems and institutions operating. Thus, learning data science is an excellent way to work in this incredibly important field of study and position yourself for long-term employment in a cutting-edge technological field.

Learning data science is also great for becoming involved with new technological developments and cutting-edge scientific breakthroughs. A lot of money is being spent on discovering new ways to collect, interpret, and utilize data, so anyone interested in a research or development position should consider exploring the kinds of projects that Data Scientists regularly work on, like machine learning or artificial intelligence projects, to see what excites them about the field of study.

Aspects of Data Science

Data science is a complex and interconnected field of study. Students learning data science will need to learn computer programming skills, data analysis techniques, visualization tools, and other important skills. Further, as Data Scientists become more specialized in a specific field or industry, they will need to learn additional unique skills to help them better apply their data science training to the field in which they are working.

Computer Programming

At its core, data science is a subfield of computer science, and anyone hoping to work in the field will need to know how to code. Luckily, the primary programming language associated with data science is Python, arguably the most accessible programming language for first-time learners. Python is used to build, manage, organize, and query databases, which makes it an invaluable programming language to learn if you plan to work with huge amounts of data. Part of the challenge of working in data science is that you need systems to narrow your data into a usable set since you’ll be working with more data than a human can handle. Learning to use programming languages like Python will be essential for building and maintaining the computer programs that make this possible.

Data Analytics

Data science bootcamps will also teach students data analytics skills since knowing how to organize, maintain, and query data is of minimal use if you don’t know how to analyze the datasets you’ve created. Data analytics is its own specialized field, but students working as Data Scientists will still need to know the basics of interpreting and analyzing data in such a way that it can be used to make causal inferences and predictions or be used to draw actionable insights. Learning data analytics involves learning how to use programs like Excel and programming languages like Python to build models and programs that can make data trends clear, forecast future trends, or simply reveal connections and correlations between data points that would be otherwise invisible to observers.

Data Visualization

Another important aspect of working in data science is learning to use tools like Tableau to transform raw data into visually compelling charts, maps, and graphs that can communicate information with a non-specialist audience. The ability to communicate with stakeholders and other interested parties is an important part of learning data science. Students enrolled in bootcamps will often learn how to use programs like Tableau or Microsoft BI to take raw data that has been filtered and queried into a usable dataset and further reorganize it into maps, graphs, and charts that make that information accessible and understandable to non-data scientists. This is an important part of the process regardless of the field in which you work since data science projects often need to demonstrate that they are producing actionable insights.

Machine Learning and Artificial Intelligence

Students interested in working on the cutting edge of data science technology may be interested in enrolling in a bootcamp that teaches machine learning and artificial intelligence programming. Machine learning is the process of building computer programs that can interpret and analyze data and produce responses to data inputs without needing a human operator to input specific commands. The broad idea involves teaching machines how to ‘learn’ as human brains learn. At present, this technology is most commonly used in content and product recommendation algorithms, helping machines direct consumers to other content they might want to engage with based on their past searches. However, as the technology becomes more sophisticated, data scientists will play a vital role in making the applications more practical, easier to teach, and more ethical in their learning practices.

Data Automation

Finally, a key part of data science training is learning how to automate important data collection and analysis processes. Most Data Scientists are working with collections of data so massive that humans can’t keep up with the amount of data being produced. This means that they will need to use programming languages like Python to build programs that can automate the data collection and organization processes for you. In addition, skilled programmers can build programs that respond to certain data events such as building a financial investment program that automatically purchases or sells assets once they reach a certain valuation threshold. This automation work is important for keeping systems and institutions running smoothly, making this work invaluable in several different professional settings.

Data Science Industries

One of the perks to learning data science is that data collection and analysis projects are occurring in virtually every industry, meaning that skilled Data Scientists are in high demand and students will be able to find career opportunities in the fields that appeal to them. Businesses and other commercial companies are eager to find ways to become more competitive in the market using user data and other financial information to build long-term strategies based on observable trends and forecasts. There is a reason that data collection is such a major part of the modern economy and data science training is a very attractive skill set in almost all commercial endeavors.

Data science is also the backbone of successful financial and investment ventures. Smart investors will know how to use data processing tools to make sense of the millions of financial transactions that occur every day so that they can take the guesswork out of investing. By using data science techniques, financial institutions and analysts are able to make more informed decisions about where they put their clients' money in the markets, which can be the difference between a successful investment and failed venture.

Data science is also a vital part of a large number of public sector industries, including healthcare and government. Healthcare professionals need to organize and manage huge amounts of patient data, and machine learning programs are promising to revolutionize aspects of diagnostic medicine. Government bodies use population and demographic data to make targeted policymaking decisions and political campaigns employ data science specialists to make more informed campaigning decisions leading up to elections.

Data Science Careers

Data science is the fastest-growing field in the U.S. job market and it also has one of the largest skills gaps of any U.S. industry. Data is playing an imperative role in businesses of all sizes right now and the demand for someone who can make use of that data is only rising. The average Data Scientist makes over $100,000 per year. Most data scientists have the opportunity for cash bonuses or promotions at the end of each year, too. Data Scientists can find work at commercial businesses, investment firms, nonprofit research organizations, or public sector institutions. Data Scientists are beginning to find work in unexpected places such as professional sports organizations or the entertainment industry. As long as companies are interested in remaining competitive using the data they are collecting, Data Scientists who build the programs and systems that let them utilize this data will remain in high demand.

Reasons to Attend a Data Science Bootcamp

Attending a data science bootcamp in-person is the best way to solidify what you’ll learn in these intense, immersive courses. Any coding bootcamp teaching relevant technology will also introduce you to Python or R libraries like Pandas, NumPy, or Matplotlib. Specialized bootcamps will dedicate time and attention to teaching students data science-specific skills, like Python for data analysis and machine learning algorithms.

Accelerated Learning

A data science bootcamp can be a great alternative to college if you’re willing to put in the time to learn the STEM concepts you need to keep up. Rather than spending four years slowly learning important programming skills, students enrolled in a data science bootcamp can quickly pick up the essential career skills they need to qualify for data science and data analytics jobs. Despite the accelerated pace, many bootcamps are incredibly beginner-friendly, and assume that students have minimal experience working with computer programming languages like Python. This means that students won’t need to worry about lacking basic knowledge to succeed in their dreams of learning data science.

Career-Focused Learning

Data science bootcamps were designed with the career changer in mind. They’re perfect for those who already work with some form of data in their current career, have a math or technology degree, or have a passion for data science. Some analysts even use data science bootcamps to upskill into higher-paying data-related jobs. Since these are career-focused courses, students will receive hands-on training on the kinds of projects they can expect to work on in a professional setting. In addition, most bootcamps allow students to take advantage of career development services, like portfolio-building workshops, and one-on-one career mentoring sessions. By the end of a focused data science bootcamp, students will be ready to enter the workforce as talented data experts.

Flexible Training

Another advantage of learning data science in a dedicated bootcamp is that there are enough course offerings available that students can pick and choose the right course for them. This is important because data science is such a varied career field that students may want to choose bootcamps that emphasize or de-emphasize specific elements of the field. For example, students interested in learning machine learning programming can find bootcamps that emphasize that training as a capstone to their curriculum. Students who want to find jobs in the financial sector can look for bootcamps emphasizing FinTech training.

In addition to picking and choosing from different training courses, students can also find bootcamps that fit their busy schedules. Some students won’t be able to attend courses every day and will need to find a part-time bootcamp. Thankfully, several part-time options are available for students who need to work their training around other obligations. Beyond this, students will also have the choice to learn in-person at a dedicated training center or in a live online classroom from the comfort of their home office. In-person learning can be ideal for students who want to benefit from the affordances of the dedicated classroom space (such as having access to technology and direct access to a live instructor). Still, students will be restricted in what classes they can physically attend (especially if they don’t live near a major city). Online students will still benefit from the advantages of live instruction, but they won’t need to commute

and can enroll in various courses. However, they will be responsible for maintaining their own tech set-up.

Data Science
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Data Science Topics

When learning data science, you can choose from a course or bootcamp that covers data science comprehensively, including popular programming languages like Python, as well as mathematics/statistics, and machine learning. You can also choose to attend a course that focuses almost exclusively on a specific topic or language within data science, namely Python, R, SQL, and machine learning.

Find The Perfect Data Science Bootcamp for You

Today, there are more opportunities than ever for companies to use data to guide their operations. As the digital revolution has transformed virtually every sector of the economy, businesses have been left with immense amounts of data about their operations. This data can range from anything including social media behavior to stock market trends, offering companies the exciting potential to harness data to inform their approaches.

While the benefits of data are promising, actually using the overwhelming amounts of data available to companies today is another matter entirely. To meet this need, businesses turn to data scientists to work with data and create automated tools to tune out the static and distill powerful conclusions from quantitative data. As a result, data science has become an incredibly high-demand field in recent years, and there is no better way to prepare yourself for these careers than by enrolling in a comprehensive data science bootcamp. In some cases, these bootcamps can even replace a college degree, making them a powerful option for professionals looking to jump-start their careers in the exciting world of data science.

Careers for Data Science Bootcamp Graduates

As one of the most in-demand career fields today, data science is both an incredibly rewarding and high-paying job option for professionals skilled in the field. While becoming a truly competitive candidate in data science requires mastery of skills including Python, statistical analysis, and often industry-specific knowledge, accomplished data scientists can expect their skills to be in high demand well into the future.

According to recent listings from Glassdoor and Indeed, professionals seeking a data science-related career can look into several different career paths. In addition to positions as data scientists, professionals with these skills also can work in specialized fields like machine learning and automation. Both of these career paths are quite well-paying nationally, with average salary figures falling between $120,000 and $145,000 per year across the country.

In-Person Data Science Bootcamps

As data science has continued to experience explosive growth as a field, a number of learning options to master the field have appeared. However, between in-person bootcamps and their virtual counterparts, it can be difficult for beginning learners to decide on the best path for them. This decision is especially important for bootcamps, which typically entail higher costs and time commitments than a single class. To help learners make this decision, Noble Desktop’s Classes in Your Area tool allows users to search and compare data science bootcamps available in-person in their area, as well as live online.

Some learners may prefer to master data science through the traditional classroom format of an in-person bootcamp. Nationally, some of the largest providers of these bootcamps include General Assembly and Data Science Dojo, which both offer in-person bootcamps in most major cities. General Assembly’s bootcamp options include a 12-week Data Science Immersive along with 40- and 60-hour data science courses, while Data Science Dojo offers both a 50-hour, five-day bootcamp and a 16-hour, part-time certificate program.

Virtual Data Science Bootcamps

Aspiring data science professionals should also consider the benefits that a virtual bootcamp can offer them. In addition to offering the same high standard of educational quality one would expect from a bootcamp, virtual bootcamps also allow students to attend lessons and complete assignments remotely. As a result, these bootcamps are perfect for busy professionals juggling full schedules and looking for a more flexible learning option than an in-person bootcamp may be able to provide.

As an industry-leading provider of tech education for over three decades, Noble Desktop is proud to offer virtual data science bootcamps suitable for learners looking to jump-start their careers. One of the key highlights of these programs is the Data Science Certificate program, which takes place over 84 hours of instruction and covers topics including Python programming fundamentals, Python-based automation, and writing complex queries for data analysis. This course is perfect for students wanting a comprehensive, coding-focused introduction to the field.

Other options from Noble Desktop include the Python for Data Science Bootcamp, which includes 30 hours of instruction in Python coding fundamentals, along with more advanced operations. Other coding-focused bootcamps in related fields that students could find value in include the Python Data Science & Machine Learning Bootcamp and Python Machine Learning Bootcamp.

Virtual bootcamp possibilities offered by other providers include classes hosted by Metis, Thinkful, and Flatiron School. Metis’ Data Science Bootcamp, for example, includes 12 weeks of instruction, whereas Thinkful’s Data Science Flex takes place over six months and Flatiron School’s online data science bootcamp features five months of instruction.

Data Science Classes

Virtual and in-person bootcamps can be a great solution for some learners, but other students may not be able to commit to the time and financial costs of such programs. For those just looking to get a short introduction to the field of data science, data science classes can be a better alternative. These classes are available both in-person and online, and give learners the opportunity to master the basics of data science.

Select data science class offerings by Noble Desktop include SQL Level 1 and 2, as well as Python for Automation. These classes are perfect for understanding the basics of SQL and Python, two critical coding languages often used in data science. Other course options offered by other providers include Deep Dive Coding’s Data Science for Business Leaders and BrainStation’s 30-hour Machine Learning Certificate program.

Choosing a Data Science Bootcamp

There are a number of different factors that learners should consider in choosing the right data science bootcamp for them. Among the most fundamental differences between data science bootcamps available nationwide are the time and cost commitments involved; some bootcamps are more affordable but only take place over a few weeks, while others offer months of intensive instruction at a higher cost. However, a more comprehensive bootcamp that may be more expensive up-front can carry more weight on a resume and better prepare you for the field, making it a worthwhile investment to consider.

Other key factors that individuals should consider before enrolling are the flexibility of the program’s scheduling options, opportunities for one-on-one learning and mentorship, and the type of curriculum students can expect. Some bootcamps even offer a job guarantee for learners, as well as resources to help place them in data science jobs soon after finishing the program. Learners should also make sure to check out the financing options that various providers offer, especially given the relatively high cost of some of the more intensive bootcamps. By considering all of these options together, learners can be sure that they have considered all their options in continuing on their data science learning journey.

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Key Insights

Learn More About Data Science Bootcamps

Why Learn Data Science?

Aspects of Data Science

Computer Programming

Data Analytics

Data Visualization

Machine Learning and Artificial Intelligence

Data Automation

Data Science Industries

Data Science Careers

Reasons to Attend a Data Science Bootcamp

Accelerated Learning

Career-Focused Learning

Flexible Training

Data Science Corporate & Onsite Training Noble Desktop

Data Science Bootcamp Map & Top Locations

74 Bootcamps Available Live Online

32 Bootcamps Available in NYC

12 Bootcamps Available in Chicago

10 Bootcamps Available in Dallas

9 Bootcamps Available in Los Angeles

7 Bootcamps Available in San Diego

6 Bootcamps Available in Houston

6 Bootcamps Available in San Francisco

6 Bootcamps Available in Seattle

6 Bootcamps Available in Washington, D.C.

6 Bootcamps Available in Atlanta

5 Bootcamps Available in Charlotte

5 Bootcamps Available in Phoenix

5 Bootcamps Available in Denver

5 Bootcamps Available in Minneapolis

5 Bootcamps Available in Miami

5 Bootcamps Available in Detroit

4 Bootcamps Available in Boston

4 Bootcamps Available in Austin

4 Bootcamps Available in Orlando

4 Bootcamps Available in St. Louis

4 Bootcamps Available in Tampa

3 Bootcamps Available in Virginia

2 Bootcamps Available in NJ

1 Bootcamp Available in Philadelphia

1 Bootcamp Available in CT

Careers & Salaries Related to Data Science

Related Bootcamps

Data Science Topics

Python Data Science

SQL

Machine Learning

R Programming

Find The Perfect Data Science Bootcamp for You

Careers for Data Science Bootcamp Graduates

In-Person Data Science Bootcamps

Virtual Data Science Bootcamps

Data Science Classes

Choosing a Data Science Bootcamp

Data Science
Corporate & Onsite Training