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 variety 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 may want to focus on a particular programming language, like Python or R, while others look to data science for training in SQL, statistics, or artificial intelligence (AI). Your path to data science 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 helpful to have some ideas about a future career, it’s not crucial to know precisely what you want to do with your data science knowledge.

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 charge 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 it 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 sufficient for a career, but mastering its fundamentals can lay 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 seek 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 education and career.

What You’ll Learn in a Data Science Summer Program

In a summer data science course, students will learn coding basics, including how to read and write Python code. 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'll understand the foundational programming skills required for more advanced training or for learning a different programming language that suits your needs, such as JavaScript or SQL. Most programmers learn multiple languages, so starting with an accessible language like Python is a good way to begin.

Data Science Specializations

Data is big business and is used in almost every aspect of our daily lives. Whether it's used to collect consumer data for targeted marketing, build policy positions from 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 limited to economic contexts. While data is big business, students interested in policy activism, entertainment, or scientific exploration should also consider learning how data shapes those fields and their decisions. 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's 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 data science disciplines you may want to consider learning, even if you're not aiming to be a professional data scientist. Anyone hoping to start their own business should learn how to read and understand the data they generate to 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 creating a computer program that can read and interpret data without human intervention, ideally mirroring how 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 constantly being developed, with chatbots and AI art programs being two of the most well-known examples. Students interested in pursuing data science education and staying on the cutting edge of this technology should consider getting started early by enrolling in a summer 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 challenges since machines aren't capable of nuanced learning.

In-Person Data Science Classes

As data science has become 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 school students are popular options. Noble Desktop's Classes in Your Area tool can help you find the right course 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 like Paris and 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 courses from Noble Desktop's partner company, NextGen Bootcamp. Their Python Data Science Summer Program offers training in Python, Matplotlib, Pandas, and Sci-Kit Learn. 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 many 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 courses for high school students that can be taken 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.

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.

Python Data Science

Python is a general-purpose programming language that is known for being easily readable and visually uncluttered due to its use of whitespace to divide blocks. Used to create applications such as YouTube and DropBox, Python can be used to scrape web pages, making it a powerful tool for data analysis. Using libraries such as BeautifulSoup and scikit-learn, Python can collect and organize assembled data for analysis. Python has broad machine learning capabilities that make it agile and adaptive.

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SQL

SQL stands for Structured Query Language. It is a domain-specific language used by data scientists (along with Python and R) to manage data using relational database management systems. Using several language elements, such as clauses, expressions, queries, statements, and predicates, SQL can query data within a relational database. Fundamentally a declarative language, SQL, includes procedural elements.

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Machine Learning

Machine learning refers to the process by which computers use learning algorithms to do a very human thing: learn from doing. Using computational methods, the algorithms adapt to improve performance in real-time, rather than being tied to a set of predetermined equations. Data scientists use machine learning to find patterns in data. Those patterns surface data of significance, that inform the predictions that drive decision-making.

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R Programming

R is a free software environment and programming language. Widely used among data scientists, R is used to scrape, organize, and analyze data. R is most commonly used within RStudio, which is an integrated development environment specially designed for R. R has an active community of programmers who create and share packages to assist other coders. Using R’s linear and nonlinear modeling, classification, and clustering tools, data analysts can glean valuable statistical insights.

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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

5 High School Courses Available Live Online

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2 High School Courses Available in Los Angeles

1 High School Course Available in Atlanta

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1 High School Course Available in St. Louis

1 High School Course Available in Washington, D.C.

1 High School Course Available in Baltimore

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