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Data Science Classes Near Me

Best In-Person & Virtual Courses

Data Science allows businesses to make data-driven decisions, improving their strategies and overall performance. It also uses algorithms and models to predict future trends and outcomes, providing a competitive advantage. Additionally, it can transform raw, unstructured data into a meaningful and understandable format, aiding in efficient and effective decision-making.

Top In-Person & Virtual Data Science Classes

Data Science Courses at Noble Desktop

Noble Desktop is a leading design and coding school in New York City. Founded in 1990, Noble Desktop offers hands-on classes and certificate programs in web design and development, graphic design, motion graphics, data science, user experience (UX), and digital marketing. These courses emphasize a practical, hands-on approach and provide students with the necessary skills to jump-start their careers in digital design, programming, data science, and online marketing, among others. In addition, Noble Desktop offers career-support services for students and all classes are available in person or through live online instruction.

Data Science Certificate

  • Price: $3,995
  • Duration: Four weeks
  • Locations: NYC, Live Online

In Noble Desktop's Data Science Certificate course, students learn the fundamentals of data science and machine learning. In particular, this course has an increased focus on Python, statistical modeling, and leveraging real-world examples in this class. The hands-on approach ensures students gain a practical understanding of predictive modeling, decision trees/forests, multivariate regression analysis, and other techniques, ultimately enabling them to extract, clean, and analyze data.

Python Data Science & Machine Learning Certificate

  • Price: $3,495
  • Duration: 96 hours
  • Locations: NYC, Live Online

The Python Data Science and Machine Learning Certificate course at Noble Desktop provides students with comprehensive knowledge of using Python for data analysis, machine learning, and AI. The course delves into various topics including data science libraries such as Numpy, Pandas, and Sci-kit Learn, as well as data visualization with Matplotlib and interactive dashboards with Plotly and Dash. This hands-on bootcamp sets a strong foundation for anyone interested in delving into data science and machine learning.

Python for Data Science Bootcamp

  • Price: $1,495
  • Duration: 30 hours
  • Locations: NYC, Live Online

In the Python for Data Science Bootcamp at Noble Desktop, students receive practical, hands-on training in Python, a premier tool with a wide variety of libraries for data analysis. Throughout this comprehensive course, students will dive into the foundational aspects of data science and machine learning. For example, students will learn how to master essential libraries like Pandas and Scikit-learn, manipulate data frames, create visual representations with Matplotlib, and fully understand the power and versatility of Python's functionality.

Python for Finance Bootcamp

  • Price: $1,295
  • Duration: 18 hours of total instruction
  • Locations: NYC, Live Online

The Python for Finance Bootcamp at Noble Desktop provides practical training in utilizing Python for financial analysis, machine learning, and algorithmic trading, among other finance-based applications. Students will gain proficiency in widespread industry tools like Python, NumPy, and Pandas, which are all integral to data cleansing, manipulation, and analysis in the finance sector. Overall, students will benefit from hands-on projects and feedback from an experienced instructor.

Algorithmic Trading with Python

  • Price: $895
  • Duration: 12 hours of total instruction
  • Locations: NYC, Live Online

The Algorithmic Trading with Python course at Noble Desktop equips students with the skills to create, test, and implement trading algorithms by using Python's data analysis libraries and financial data from the web. Across 12 hours of instruction, learners will connect with a brokerage firm, practice trading strategies, and trade using Python. This course culminates with a completed project that helps students showcase their newfound knowledge and skills.

Data Science Courses at General Assembly

General Assembly is a global learning community that offers classes in many different areas of study, including coding, data science, UX design, digital marketing, product management, and more. These courses are immersive, which fosters proficiency in these in-demand skills. Through hands-on training and expert instruction, General Assembly equips students to embrace the future of work, whether they are looking to reskill, upskill, or kickstart a new career. General Assembly aims to foster a sense of empowerment through continuous learning and development.

Data Science Course

  • Price: $4,500
  • Duration: 60 hours of total instruction
  • Locations: Several (see school website)

General Assembly's Data Science course in New York City challenges and expands one's understanding of key elements in data science such as Python, statistics, and machine learning, all while using real-world data. Students will learn essential theories and apply what they have learned in projects. Overall, this course equips participants with the practical skills necessary for leveraging data in effective and innovative ways.

Data Science Immersive

  • Price: $16,450
  • Duration: 12 weeks
  • Locations: Several (see school website)

The Data Science Immersive course at General Assembly equips students with profound knowledge and practical skills in data science. The course explores key topics like Python, machine learning, data visualization, and big data, delivering comprehensive training that prepares students to solve real-world data problems effectively.

Data Science Bootcamp

  • Price: $250
  • Duration: Seven hours
  • Locations: Several (see school website)

In the Data Science Bootcamp at General Assembly, participants delve into the nuances of machine learning and data analysis by harnessing the power of Python, a highly-utilized programming language in the industry. The immersive course equips students with practical skills in exploratory data analysis, regression, and classification modeling as well as translating complex findings into strategic solutions.

Data Science Courses at Flatiron School

Flatiron School provides a challenging and engaging learning environment for students eager to dive into the complex world of technology. With a variety of programs ranging from software engineering to data science, students will leave the courses equipped with industry-relevant skills to solve real-world problems, fostering creativity and innovation.

Data Science Bootcamp

  • Price: $16,900
  • Duration: 15 weeks
  • Locations: Several (see school website)

At Flatiron School's Data Science Bootcamp, students engage in a comprehensive study aimed at developing proficient data science skills. The program delves into essential topics such as Python, machine learning, and data visualization, equipping students with practical experience in tackling real-world data science challenges. An experienced instructor leads the bootcamp and will guide students through the entire learning process.

Online Data Science

  • Price: $15,000
  • Duration: There are part-time and full-time options for online instruction from 15 to 40 weeks.
  • Locations: Live Online

Flatiron School's Online Data Science course provides a comprehensive understanding of how to manipulate raw data into meaningful insights, empowering students to make data-driven decisions. In this course, students will learn popular programming languages like Python, as well as machine learning and big data technologies. Additionally, they will gain experience with multiple industry-relevant projects that will culminate in a personalized, impressive portfolio.

Data Science Courses at NextGen Bootcamp

NextGen Bootcamp, a highly regarded tech education school, provides a practical learning experience for high school students keen on acquiring tech-based skills. With courses focused on coding, software development, data science, and more, NextGen Bootcamp crafts an engaging and comprehensive learning environment where students hone their skills under the tutorship of seasoned professionals and gear up to thrive in today's tech-centered job market. NextGen courses are ideal places for students to spend their summer learning valuable skills that will assist them in their college computer science and design courses or their professional lives.

Python Data Science & Machine Learning Summer Program

  • Price: $2,495
  • Duration: 45 hours
  • Locations: NYC, Live Online

The Python Data Science and Machine Learning Summer Program at NextGen delves into the essential topics of data science, including core Python concepts, data manipulation with Pandas, basic statistics, and machine learning models. Students will also gain experience with hands-on projects using real-world data sets, allowing them to explore predictive analytics, decision-making tools, and AI firsthand while gaining tangible skills in Python for professional or academic advancement.

Python Data Science & Machine Learning Summer Program Online

  • Price: $1,999
  • Duration: 45 hours
  • Locations: Live Online

The Python Data Science & Machine Learning Summer Program at NextGen Bootcamp is an intensive online course designed to introduce young learners to the world of programming, statistics, and data science using Python language. Learners will acquire hands-on experience in machine learning and data visualization through projects, while gaining a strong understanding of fundamental data science and programming concepts, such as loops, functions, lists, and dictionaries.

Key Information about Learning Data Science

In the study of Data Science, individuals delve into topics such as statistics, machine learning, data visualization, data mining, and database systems. While it is true that beginners can learn Data Science, it does pose some complexity due to the cross-disciplinary nature of the field. The duration to master Data Science depends largely on the individual's commitment to learning and previous experience with statistics and programming, with many estimating a comprehensive understanding to take upwards of two years. Understanding topics like linear algebra, calculus, and probability, and understanding programming language, particularly R or Python, can be extremely beneficial before learning Data Science. In terms of technical setup, both R and Python would need to be installed on the individual's computer — R can be downloaded from CRAN (The Comprehensive R Archive Network) and Python can be installed via download from the Python website, while auxiliary software like Jupyter Notebook or R Studio might also be useful for writing and organizing code.

Career Paths & Job Outlook for Data Science

According to IBM, positions for data professionals are expected to grow by 28% through 2020. The U.S. Bureau of Labor Statistics (BLS) also reports a projected growth rate of 16% for data science roles from 2018-2028, much faster than the average for all occupations. Starting salaries for entry-level data science positions can range anywhere from $50,000 to over $95,000. 

Meanwhile, experienced roles in data science can command salaries upwards of $135,000. In various roles, data science is used to identify patterns and trends, build predictive models, and enable decision-making, from marketing analysts studying consumer behavior to biostatisticians analyzing medical data for treatment efficacy.

What Can You Do With Data Science?

One can accomplish a myriad of tasks and create a broad range of products with data science. For instance, one can build predictive models that can forecast future trends or behaviors, allowing businesses to make data-driven decisions. To create these models, a data scientist would probably use Python or R, some of the most popular programming languages in the field, together with libraries such as scikit-learn or TensorFlow for machine learning. 

Data scientists also can create interactive data visualizations to better communicate complex data sets. Tools like Tableau, Matplotlib, or Seaborn can enable them to craft aesthetically pleasing and informative graphics. For a more in-depth exploration, development, and documentation of their work, they could use Jupyter Notebooks. 

Moreover, with data science, one can develop recommendation systems for businesses like Netflix or Amazon, recommending products or films based on previous user behavior. This often involves utilizing machine learning algorithms, pandas for data manipulation, and NumPy for numerical computation. Another exciting application is in Natural Language Processing (NLP), where data scientists use tools like NLTK (Natural Language Toolkit) or SpaCy to create chatbots or sentiment analysis models. These models can understand, interpret, and even generate human language. 

For data extraction and manipulation from databases, SQL is a common and powerful skill that data scientists often rely on. Further, big data technologies such as Hadoop or Apache Spark handle large volumes of data that exceed the capacity of conventional databases. Therefore, data science indeed is a versatile field that allows the exploration, understanding, and communication of patterns in data in various innovative ways.

Top Data Science Tools For Beginners

  1. Python: Python is a popular, versatile, and user-friendly programming language used in data science. It's known for its simplicity and huge libraries that are specifically used for data analysis like NumPy, Pandas, and Matplotlib.
  2. R: R is a powerful programming language used for statistical analysis and graphics. It's highly flexible and it's used for both simple statistically driven reports as well as to building machine learning models.
  3. SQL: SQL stands for Structured Query Language. It's used in data science to communicate with databases to create, retrieve, update, and delete data. Understanding SQL is essential because it aids in receiving the data we need to analyze.
  4. Excel: Excel is a powerful and user-friendly tool that allows you to analyze data and create graphical data representations. It’s great for basic descriptive statistics and managing data for analysis.
  5. Tableau: Tableau is a data visualization tool used in the data science industry. It enables the development of interactive, real-time dashboards and generating business insights.
  6. Power BI: Power BI is a business analytics tool developed by Microsoft. It provides interactive visualizations and business intelligence capabilities with an interface that is easy to use for creating reports and dashboards.
  7. Matplotlib: Matplotlib is a very popular data visualization library in Python. It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits.
  8. Pandas: Pandas is an open-source data manipulation and analysis tool built on Python. It provides structures and data analysis tools, which make it a flexible tool to work in data-related fields.
  9. Hadoop: Hadoop is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It’s used for big data analytics.
  10. Machine Learning: While not a "tool" in the traditional sense, understanding basic concepts and methodologies of machine learning is crucial for data science. Machine Learning broadly refers to the development and application of algorithms that allow a computer to learn from the data and make predictions or decisions without being explicitly programmed. Various machine-learning libraries in Python like scikit-learn, TensorFlow, and Keras are popular.

Data Science Comparison to Other Tools & Fields

People who use data science often utilize wide-ranging programming languages and related fields such as Python, R, SQL, and Java. Python is a preferred coding language due to its simplicity and the availability of data science libraries like Pandas, NumPy, and SciPy, while R is specifically designed for data scientists with statistics and graphics in mind. People use SQL for querying and managing data, particularly in big data projects. Additionally, experts in data science often interface with the realm of machine learning and artificial intelligence, using tools and algorithms from these advanced fields to make informed predictions and decisions based on data habits and patterns, thereby displaying the interconnectedness and unique, diverging characteristics of these languages and fields.

Data Science Advantages

Data science offers the ability to extract insights and make predictions from vast amounts of information, a critical skill for companies looking to enhance their decision-making process. It also allows businesses to leverage machine learning and AI technologies to automate tasks and improve efficiency. Furthermore, data science can support various industries like healthcare, finance, retail, etc., by enabling data-driven strategies to improve operations, customer experiences, and overall performance.

Learn more in these courses

  • Data Science Bootcamps
  • Python Courses
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