Data Science Classes for High School Students Near Me

Learn More About Data Science Courses

Data science combines data analysis with computer programming skills, mathematics, and machine learning algorithms. Careers in data science include a wide range of roles, from Data Analysts and Digital Analysts to Business and Marketing Analysts.

Students interested in data science can take various approaches to this field. Some want to focus on a particular programming language like Python or R, whereas others look to data science for training in SQL, statistics, or artificial intelligence (AI). Your path to data science knowledge may be part of a broader curriculum in computer science, or you might decide to specialize in Python data science, Python machine learning, or predictive modeling. Although it’s not crucial to know precisely what you want to do with your data science knowledge, it’s good to have some ideas about a future career.

The data science field is broad and deep, with positions in nearly every industry. With so many opportunities to specialize, you’ll want to consider all your choices when looking at data science classes. A broad overview might be your ideal selection, but you can find courses that focus on particular tools and disciplines if you have a goal in mind.

Why High Schoolers Should Learn Data Science

Secondary students often learn data science principles as part of their curriculum. Advanced classes in probability or statistics, or computer languages like Python, might already be on the calendar for your school year. But as more and more careers require data science knowledge and skills, many students are taking control of their futures by enrolling in summer data science classes.

Some students will get data science training to build skills for a future career. Whether that includes web development, software engineering, or machine learning algorithms, many will decide to study Python, one of today’s top programming languages. Python alone may not be enough for a career, but mastering its fundamentals can provide a solid foundation for a data science role.

Other students take data science classes to gain additional skills for a part-time job, summer job, or internship. Even large corporations sometimes hire Python developers part-time, and companies ranging from pharmaceuticals to finance take on data science interns in the summertime.

Of course, many students take data science classes as part of their college prep or add more skills to resumes or college applications. Admissions officers look for such training, and a data science course for high school can thoroughly prepare a student for a college or university curriculum. Studying data science now can also benefit your future studies and career.

What You’ll Learn in a Data Science Summer Program

In a summer data science course, students will learn the computer programming skills required to work with large datasets and complex databases. This usually means learning to program databases and write querying applications using Python. Python is the most commonly used programming language in the world and is an important part of virtually every meaningful data science project you can expect to work on during your education. Students enrolled in a data science program will learn the basics of coding, including how to read and write code in Python. It is an important introductory step for students pursuing a long-term programming career. Students will also learn essential skills directly related to Python, such as how to write conditional statements, how to clean and wrangle data, and how to use common libraries like Pandas to work with significantly complex datasets.

Python is also an ideal first language for students because it is so accessible for new students. Python has a large community of developers producing resources for new learners, and the language is designed with user-friendliness in mind. Once you’ve learned Python, you will understand the foundational programming skills required for more advanced programming training or for learning a different programming language that better suits your needs, like JavaScript or SQL. Most programmers learn multiple languages, so starting with a relatively accessible language like Python is a good place to start.

Data Science Specializations

Another important part of learning data science is understanding the broad scope of the field and the number of applications that your lessons will have. Data is big business, and it is utilized in almost every aspect of our day-to-day lives. Whether it is being used to collect consumer data for targeted marketing strategies, build policy positions out of demographic and historical data, or predict market trends, data impacts lives in significant ways. Students enrolled in a summer data science course will study many of the most common and important uses for big data collection, and they will understand how data shapes the decisions that define our world.

Students should also understand that data isn’t only used in economic contexts. While data is big business, students interested in policy activism, entertainment, or scientific exploration will also want to consider learning how data shapes those fields and the decisions made within them. Political campaigns employ data scientists to make targeted decisions about voter behaviors and preferences, scientists use data to confirm and replicate important discoveries, and the entertainment industry is becoming more conscious of data-driven approaches to find successful strategies and tapping under-explored markets. No matter what kind of work interests you, there is a good chance that data collection and analysis will be an important part of that field in the future.

FinTech

In particular, students interested in finance, entrepreneurship, and investing will want to consider learning data science skills. Nowadays, successful investors and entrepreneurs can’t rely on instinct alone to make decisions that involve incredibly complex markets and financial institutions. To address this, most investors and entrepreneurs use data science applications and financial technology (or FinTech) to help them make more informed decisions about how they invest.

For instance, the stock market sees thousands of trades a minute, making it impossible for a human to accurately keep up with the real-time movements in the market. Investment Analysts use computer programs that document minute-by-minute price fluctuations to help investors be more confident that the decisions they make concerning their investments are backed up by hard data. Other examples of FinTech that you may learn to work with include automated systems for buying and selling assets, consumer data collection tools, and data visualization tools.

FinTech is just one example of the kinds of data science disciplines you may want to consider learning, even if you aren’t hoping to be a professional data scientist. Anyone hoping to start their own business will want to learn how to read and understand the data they are generating to help make better business decisions. Similarly, data scientists are employed in almost every commercial field and industry. If you are just starting and want to learn transferrable skills, a data science or FinTech course can be a good place to start.

Machine Learning

One exciting development on the data science horizon is the rapid development of machine learning technologies and artificial intelligence applications. Machine learning refers to the process of building a computer program that can read and interpret data without the need for a human operator, ideally mirroring the process by which people learn. Most machine learning algorithms in common use today are content recommendation algorithms designed to observe a viewer's watching or purchasing habits to recommend that viewer more things that they might enjoy. More advanced machine learning algorithms are being constantly developed, with chatbots and AI art programs being two of the most well-known examples. Students interested in pursuing a data science education and staying on the cutting edge of this new technology may want to get started early by enrolling in a summer data science program.

Students enrolled in a data science program may also spend time working with the theoretical side of machine learning and data science. Data collection and analysis raise many important questions about our privacy and the digital trail we leave behind us. This is something that the next generation of data scientists will need to consider as the tracking and data collection tools available become more powerful. Machine learning, in particular, poses a number of challenges since machines aren’t capable of nuanced learning, so data scientists will have to make sure that the datasets they are learning from aren’t inaccurate or biased in their reasoning (thus making the machine system flawed).

In-Person Data Science Classes

As data science has grown into one of today's hottest career choices, the number of data science course providers has increased. Bootcamps, certificate programs, and summer data science courses for high schoolers are popular alternatives. Noble Desktop’s Classes in Your Area tool can help you find the right one for you.

Some courses are available in-person, some online, and some are offered either in-person or online. And while some in-person data science classes are area-specific, others are hosted in multiple cities worldwide. For example, Flatiron School offers its Data Science Bootcamp in major metropolitan areas like New York City, Chicago, and Washington, D.C., to name a few. International students in cities ranging from Paris to Tokyo can take a Data Science Bootcamp from Data Science Dojo.

Many colleges and universities provide pre-college data science training to secondary students at their locations. UCLA hosts multiple data science programs at its Los Angeles campus, and Northwestern University holds its Chicago Data Science & Visualization Bootcamp for area high schoolers.

Other options for students in New York City include data science courses from Noble Desktop’s partner company, NextGen Bootcamp. Their Python Data Science Summer Program offers training in subjects like Python, Matplotlib, Pandas, and Sci-Kit Learn, among others. Students can also save by taking this course as part of NextGen’s Computer Science Program, an immersive certificate that adds Java programming to the curriculum.

Virtual Data Science Classes

If you want to learn more about data science, you’ll find numerous virtual training options created for high school students. Online coursework is live and interactive like in-person training, but you can attend from the comfort of home and finish assignments remotely. Where available, flexible scheduling makes online learning even more attractive than face-to-face classes, especially for students with multiple extracurricular commitments.

NextGen Bootcamp provides live online data science coursework for high schoolers that you can take from anywhere. Its Live Online Python Data Science Summer Course introduces students to Python programming fundamentals, then moves through training in tools like Sci-Kit Learn, Pandas, and Matplotlib. Students can save by taking the course as part of NextGen’s Live Online Computer Science Summer Certificate, which adds Java programming to the curriculum. This immersive program helps prepare high school students planning to take the AP Computer Science Exam.

How to Choose a Data Science Class

When you decide to learn more about data science, you’ll find a host of options available: Python data science, computer science, and machine learning are a few topics covered in data science programs, whether online or in-person. Choosing the right course involves considerations like the price and duration of the program. Data science course costs range from about $1,000 for a one-week introductory class to over $6,000 for a five-month Python bootcamp. The degree of difficulty is another factor, and some data science programs are more appropriate for recent high school grads than first-year high school students. Always review the course description and syllabus thoroughly with parents or legal guardians, as age ranges or gender restrictions may apply. Whether you choose a program that covers data science comprehensively or a class on Python machine learning, the knowledge you gain from data science training can help you in a future college course or a rewarding career.

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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.

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Learn More About Data Science Courses

Why High Schoolers Should Learn Data Science

What You’ll Learn in a Data Science Summer Program

Data Science Specializations

FinTech

Machine Learning

In-Person Data Science Classes

Virtual Data Science Classes

How to Choose a Data Science Class

Data Science Corporate & Onsite Training Noble Desktop

Data Science Training Map & Top Locations

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