Best Data Science Bootcamps Baltimore, MD: Find Bootcamps & Certificates

Learn More About Baltimore Data Science Bootcamps

Data science is about using data to solve problems and make smarter decisions while operating a business. It combines different practices and skills, like programming, statistics, machine learning, and database knowledge that help with analytics. This leads to uncovering trends that turn into clear insights into the company’s operations. Whether it’s structured or unstructured data, a Data Scientist will apply techniques to reveal hidden patterns. This can improve future outcomes and pinpoint the trajectory of the business’s practices.

While rooted in computer science and mathematics, data science is about a whole lot more. The field emerged in the late 1960s when computers first began handling large datasets. With the rise of the internet age in the 90s, computers were able to host even more data and, as such, humans were able to explore the world of data much further. By the early 2000s, data science became a standalone multidisciplinary field that is needed virtually everywhere.

What Can You Do with Data Science Training?

Once you complete a data science bootcamp, you may find yourself exploring numerous job titles in various industries. Of course, when most think of data science, they think of the technology industry. However, there are so many other industries where data science is needed. From healthcare and finance to government and retail, Data Scientists are needed at any company where data is an essential factor in driving innovation and maintaining success.

In addition, data science bootcamps are designed to be immersive, so the instructor will assign and guide students to various hands-on projects that provide direct experience with the material and tools. Through these projects, you may learn about data cleansing and preprocessing, otherwise known as organizing and clarifying the messy, unorganized datasets. In addition, you’ll study machine learning and gain practice with building models to predict values or classify items. Furthermore, you’ll likely learn data visualization which includes making graphs, charts, tables, and other visual aids to help you explain the data findings to others.

But beyond the professional realm, data science is still incredibly useful. With proper training, you can apply these skills to your regular, everyday life. For instance, if you want to become better at managing your finances, you can analyze your spending habits, create budgets, and predict future expenses based on past data. It can also help you identify areas for improvement in your health and fitness journey by tracking your workouts more closely. Overall, data science is a subject that is incredibly worth exploring for both professional and personal fulfillment.

What Will I Learn in a Data Science Bootcamp?

Data science bootcamps vary in depth, length, and subject matter, but typically, regardless of the specific focus, there are some skills that the course will cover regardless. For example, programming, statistics, and probability are essential no matter what kind of data science specialty you plan to pursue. In addition, data manipulation and visualization are essential too. In addition, some data science bootcamps may focus on the machine learning side of things most of all. It all depends, so consider which skills you’d like to focus on the most before enrolling.

Programming

In a data science bootcamp, you’ll start with programming. This comes as no surprise as this is the method by which you will communicate with and understand data. You’ll likely learn the most commonly used languages such as Python and R. These allow you to cleanse, manipulate, and analyze data. Furthermore, you’ll be able to automate tasks and build models that can predict trends with these languages. Without programming skills, you won’t be able to move forward in your data science training so this is a key aspect of the field.

Data Manipulation

Once you’ve collected the data, you’ll need to make sure it’s organized, clean, and error-free. This process of data manipulation is important and most likely discussed and practiced heavily in a data science bootcamp. You’ll explore the necessity of making sure you fix missing values, remove duplicates, and adjust errors. You’ll use programming languages to clean and prepare the data so it’s ready for analysis which ultimately ensures your analysis will be accurate.

Data Visualization

Once you’ve analyzed all your data, you have to figure out the best way to share your findings. That’s where data visualization comes in. You’ll likely learn essential data visualization platforms like Tableau or Excel as well as other tools like Matplotlib and Seaborn. These allow you to offer stakeholders, clients, and other colleagues a multimodal communication of your findings. A chart, graph, or table can tell a story behind the data far more clearly than words alone, so this is a huge part of data science and therefore a highly discussed skill in a data science bootcamp.

Machine Learning

Machine learning is a huge part of data science that consists of teaching computers how to spot patterns and make predictions all without human intervention. In a data science bootcamp, you will learn how to use algorithms, build models, and take the predictions they’ve found. With this skill, you can predict consumer behavior, identify anomalies, and make personalized recommendations. With machine learning, you can go beyond the basics and make predictions in an even more meaningful, simplistic way. However, some data science bootcamps may vary in their depth when it comes to machine learning. It’s worth considering how far you’d like to take this skill.

Statistics and Probability

You can’t really complete a data science project without understanding basic statistics and probability. In a data science bootcamp, you’ll cover the most foundational concepts like probability distribution and hypothesis testing. These skills allow you to get down to the nitty-gritty of what your datasets are trying to say, which is a significant portion of data science. It’s about ensuring that your conclusions are accurate and solid—not random.

How Hard is It to Learn Data Science?

Learning data science in a bootcamp can be a little challenging but no worries—it’s definitely doable. This is especially true if you have the right mindset and are committed to putting in the time and effort. It’s important to remember that getting familiar will be less challenging than becoming a professional, so manage your expectations accordingly. Still, bootcamps are set up where you’ll gain the essential skills in a shorter time frame. So while a bootcamp is a great start, you can always continue learning by enrolling in short courses, other bootcamps, or certificate programs.

What Are the Most Challenging Parts of Learning Data Science?

There are a few areas of data science that tend to be tricky, especially if you’re completely new to the subject. For instance, some find programming the toughest hurdle to get across. Learning languages like Python or R requires patience and practice, which you will obtain in a bootcamp. Furthermore, others find it challenging to understand the math behind algorithms or learn how to approach the data cleansing and preprocessing stages of analytics. While machine learning, data analytics, and other facets of data science can be challenging at first, you are more likely to pick up these skills and learn more if you keep pushing forward and approach each challenge with a positive attitude.

How Long Does It Take to Learn Data Science?

Learning data science can take some time depending on your goals. Most bootcamps are designed to get you started in the field, which can take several weeks to months. However, some are more in-depth and could span several months to upwards of a year. However, this depends on the level of depth the bootcamp intends to pursue and also on whether you choose to study full-time or part-time. A bootcamp gives you a great foundation so you can continue your learning journey or stop when you feel you’ve reached your goal.

Should I Learn Data Science in Person or Online?

If you’ve decided to enroll in a data science bootcamp, you’re likely wondering whether an in-person or online option would suit you better. There are several things to consider such as your schedule, goals, and preferences. For instance, an in-person bootcamp offers a neutral learning environment with direct interaction with the material and peers. Plus, your instructor can offer ample feedback and assistance if you get tripped up on any difficult concepts. However, you’ll have to ensure you have a flexible enough schedule since the schedule is fixed and will require balancing different commitments. As long as you have time (and transportation) this shouldn’t be an issue.

If you don’t have the time to make a commute, consider live online bootcamps. These offer the best of both worlds since you can still interact with an instructor and gain hands-on practice with the subject but you won’t have to leave the comfort of your home. It may feel less immersive due to the online format, and technical issues can pop up unexpectedly, but the flexible schedule makes it easy to fit into your week.

The last option would be to enroll in an asynchronous bootcamp, which is considered the most flexible option. You can learn at a pace that suits your schedule and needs and dive into the material at your leisure. These are typically more affordable but that’s because there’s a severe lack of immersion. Without an instructor present to help, you could encounter more issues and will have to answer questions by yourself. Plus, it requires a high level of discipline that some may start with, but find dwindling as the bootcamp goes on.

Can I Learn Data Science Free Online?

It’s definitely possible to learn certain data science concepts online for free. With a plethora of resources at your fingertips, you can find blogs, discussion boards, social media pages, and all kinds of online spaces that help you learn data science terms and prepare yourself for more immersive learning. It’s a good idea to start with a training center’s website such as Noble Desktop. They offer pre-recorded lectures on their Free Seminar page. Or you can explore the video playlists on Noble Desktop’s YouTube channel. Although these free resources help you get started, you will need to explore more in-depth options, such as a data science bootcamp.

What Should I Learn Alongside Data Science?

If you’re journeying into data science, it’s a smart move to explore related fields, techniques, and tools. For instance, you may want to learn more about data analytics, which is a specialized branch of data science. Most who study one subject or the other will likely have enough transferable skills to switch between the fields. Moreover, artificial intelligence (AI) can help you tackle complex problems so it would be wholly beneficial to study, particularly if you want to stand out from the crowd of applicants. This can help you tackle more challenging data concepts and make you a stronger candidate.

Beyond technical skills, you could learn business and project management skills to help handle your workload. Business and data science are closely connected since the insights you uncover from data often support different departments like marketing, finance, and human resources. Understanding how your data insights can impact these departments is essential to maintaining acceptable business operations. On the subject of project management, everyone could use some additional time management, organization, budgeting, and communication skills. This is especially true for data science experts who will handle several projects at once and work with other professionals inside and outside of the data science profession.

Industries That Use Data Science

Data science professionals can work in a variety of industries, including those such as technology and education or healthcare and government. These industries are some of the most prominent in Baltimore, so there are ample career opportunities. This section will cover how data science fits into these industries to help you determine which may be best for your preferences and needs.

Technology

Baltimore may not be top of the list when considering tech hubs, but in fact, it’s quietly emerging as a major player in the tech space. The city has numerous cybersecurity and software development companies thanks to its proximity to Washington, D.C., and with numerous educational institutions such as Johns Hopkins, there are numerous research opportunities. Furthermore, Baltimore frequently sees new tech startups amongst big-name companies like PwC, BAE Systems Inc., and ESO.

Large numbers of data science professionals work in the tech industry. These professionals use data to create better products, improve customer relations, and find more long-lasting solutions. For instance, companies may apply machine learning, AI, and predictive analytics to improve cybersecurity software or automate certain tasks. Data Scientists may use their skills to detect errors or anomalies in products.

Education

Some of the most well-known universities such as Johns Hopkins are located in Baltimore, which helps support the local economy, drive innovation, and create jobs for the city’s diverse population. Furthermore, there’s a growing interest in EdTech tools and development which gives this industry connections to the tech industry.

In education, data science helps educators make better decisions after reviewing analyzed data from student performance. This can help fill the gaps in their studies and provide more personalized training. It can also help administrators improve their daily tasks and keep the institution running more smoothly. All in all, data science makes it possible for schools to do more with less and give their students the best education possible.

Healthcare

Johns Hopkins Medicine and the University of Maryland Medical System are just two of the most prominent hospitals in the Baltimore region. The healthcare industry is one of the most essential to the region and employs large numbers of professionals who range from medical care providers to behind-the-scenes employees. In addition, Baltimore has different research centers, biotech companies, and clinics that rely on large datasets to keep up-to-date with medical advancements and different community health needs.

Data science helps healthcare providers save lives, money, and time. Hospitals use data science to analyze patient data and predict community health trends. For example, predictive models can help doctors identify which groups are more likely to contract certain diseases or suffer from complications after procedures. Data science practices can also assist with research methods and help find medical advancements sooner rather than later.

Government

Due to its closeness to the nation’s capital, Baltimore has numerous government jobs that range from public services to law enforcement and urban planning to data professionals. Due to the sheer number of agencies and companies, data is incredibly important in helping the city’s government make smarter, safer decisions for all residents.

In Baltimore, governmental data science professionals can gain insight into crime statistics. For example, predictive analytics can shine light on spaces where crime is increased and therefore decide how to approach this issue strategically. Furthermore, data can shine light on traffic patterns and infrastructure needs, helping certain planning departments decide what can be done to help the public the most.

Data Science Job Titles and Salaries

The data science field is one of the most rapidly growing, even in Baltimore. As such, there are several major career paths you could pursue such as Data Scientist, Data Analyst, Data Engineer, or Database Administrator. If you live in Baltimore and are curious about a data science profession, consider the options below.

Data Scientist

With proper training, you could pursue a career as a Data Scientist. These professionals analyze and interpret data, build models, and create algorithms to help companies make data-driven decisions. They are problem solvers first and foremost and apply their skills to a wide range of situations. Indeed takes salary information and concludes the average base salary. For instance, in Baltimore, a Data Scientist can earn nearly $110,000 on average. In nearby Annapolis Junction, however, this number rises to $141,000 so there is wiggle room with these expectations.

Data Analyst

You could also become a Data Analyst. These folks focus solely on the collection, processing, and analysis of datasets using various tools and techniques. They also generate reports and create data visualizations to help others make sense of the information. Glassdoor shares that a Baltimore-based Data Analyst takes home somewhere between $68,000 and $99,000 every year, with an average of nearly $82,000. With time and experience, however, this number can grow.

Data Engineer

Data Engineers are responsible for designing, building, and maintaining data infrastructures. They create and maintain databases and data pipelines that allow other data professionals such as Data Scientists or Analysts, to easily access the data they seek. In other words, Data Engineers build the systems that make it accessible and reliable. Indeed indicates that Data Engineers across Maryland earn close to $138,000. Those in Linthicum, which is close to Baltimore, earn close to $202,000 based on reported salaries.

Database Administrator

Similarly, you could become a Database Administrator. These experts also maintain databases to ensure they are secure and well-organized. They optimize database performance by handling backups, ensuring data integrity, and supporting data science initiatives. They also ensure the database is stable so there are no errors. Glassdoor reports that Database Administrators in Baltimore earn salaries anywhere between $87,000 and $119,000, with an average of $102,000.

Data Science Classes Near Me

If you want the most comprehensive education in data science and additional useful tools such as AI, consider enrolling in the 114-hour Data Science and AI Certificate program from Noble Desktop. This course teaches Python, SQL, automation, data visualization, and machine learning. Specifically, you’ll learn how to use Python libraries like Matplotlib, Pandas, and NumPy for tabular data analysis, data visualizations, and data cleansing. Plus, you can attend the Python for AI course at no additional charge with this certificate where you’ll learn to set up Flask, make OpenAI requests, design HTML forms, and apply CSS to web applications. Through hands-on projects, you’ll learn to create data visualizations like animated bar chart races and practice querying databases with SQL. With the help of the instructor, you’ll develop a professional portfolio and earn a certificate of completion, giving you everything you need to know to start a rewarding data science career.

The Data Analytics Certificate from Noble Desktop offers 156 hours of essential data analytics skills, covering everything from Excel, Tableau, SQL, and Python. Moreover, you’ll learn how to collect, clean, analyze, and visualize data with Python’s numerous libraries such as Matplotlib, NumPy, Pandas, and Beautiful Soup. You’ll learn to draw insights from your findings and discover the best way to improve business operations as a result of analyzed data. With practice, you’ll master data visualizations like heat maps and histograms that can boost your professional portfolio. After the course ends, you’ll leave with a certificate that can prove your skills and be shown during job interviews.

However, if you’re looking for a shorter course focused on a particular subject such as Python, Noble Desktop’s got you covered. The 30-hour Python for Data Science Bootcamp gives you a solid grasp on the essentials, like analyzing data with NumPy and Pandas and simplifying code with object-oriented programming. You will also learn about loops, functions, and objects which can help you repeat and reuse code or create objects. This course is a great way to get started with data science so it’s worth considering if you want to begin a serious path towards a data science career.

Certstaffix Training in Laurel, Maryland offers a basic SQL Querying course that spans two days and offers students instruction in database concepts like grouping and summarizing data. In addition, students will learn how to write simple SELECT queries and use built-in functions and expressions as well as join tables and clauses.

Just outside of Baltimore located in Towson, iD Tech offers an Intro to Python Coding for Machine Learning course. Students will learn to work with Python and object-oriented programming. Students will also become familiar with neural networks, which is a foundational aspect of machine learning.

Take a quick trip to Washington, D.C. for the Data Analytics Bootcamp from Georgetown School of Continuing Studies. This is a 12-week program that gives students the technical and analytical skills to manage, analyze, and visualize data at the professional level. Through these projects, students will learn how to make more informed decisions and communicate the results with ease.

Data Science Corporate Training

In a fast-paced world, data science teams need to stay updated on the most recent changes. This is why more and more companies are seeking corporate training for their teams to help them level up their skills. Your team can strengthen their data science skills while learning how to collaborate and communicate much more effectively. Noble Desktop offers personalized training, both in-person and live online, so everyone can join regardless of location or personal situation. These sessions are customizable so your team can practice machine learning concepts, learn to master different data visualization tools, or just get an overview of data science concepts.

Furthermore, Noble Desktop allows your organization to buy discounted bulk vouchers for attendance in regular classes. This means your employees can continue learning regardless of budget once the corporate training ends. If you're interested in getting started, reach out to Noble Desktop at corporate@nobledesktop.com to learn more about pricing, scheduling, and training options.

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Key Insights

Learn More About Baltimore Data Science Bootcamps

What Can You Do with Data Science Training?

What Will I Learn in a Data Science Bootcamp?

Programming

Data Manipulation

Data Visualization

Machine Learning

Statistics and Probability

How Hard is It to Learn Data Science?

What Are the Most Challenging Parts of Learning Data Science?

How Long Does It Take to Learn Data Science?

Should I Learn Data Science in Person or Online?

Can I Learn Data Science Free Online?

What Should I Learn Alongside Data Science?

Industries That Use Data Science

Technology

Education

Healthcare

Government

Data Science Job Titles and Salaries

Data Scientist

Data Analyst

Data Engineer

Database Administrator

Data Science Classes Near Me

Data Science Corporate Training

Baltimore Data Science Corporate & Onsite Training Noble Desktop

Baltimore Careers & Salaries Related to Data Science

Related Bootcamps

Baltimore Data Science
Corporate & Onsite Training