Data Science Classes Miami, FL

In this Data Analytics course, students will master Python, SQL, Looker (formerly Google Data Studio), Streamlit, and statistics, equipping them to join any data-driven team with proficiency in creating predictive models using Python and its powerful libraries like pandas and NumPy. The curriculum covers a range of algorithms, supervised and unsupervised learning models, real-life case studies, and industry-standard tools, along with comprehensive training in strategizing and developing AI projects from development to deployment, with a focus on privacy and security.

In this data science bootcamp, students will build programming skills and data analysis skills using Python. This course is open to beginners and is meant to get individuals up and running with Python programming and data science to generate insights from data. Topics covered include programming fundamentals, working with DataFrames, data analysis, data visualization, and statistical analysis. This course offers flexible scheduling options and a free retake for students to refresh the material.

In this course, students expand their Python programming skills into machine learning and algorithms that can independently learn patterns and make decisions. The course begins with linear and logistic regressions, the most time-tested and reliable tools for approaching a machine learning problem. Students then progress to algorithms with a different theoretical basis, such as k-nearest neighbors, decision trees, and random forests. This will bring important statistical concepts to the forefront, such as bias, variance, and overfitting. Participants also learn how to measure the accuracy of their models, as well as tips for choosing effective features and algorithms.

The Fullstack Academy Artificial Intelligence & Machine Learning bootcamp provides current and prospective data professionals with the in-demand skills to specialize in this lucrative, dynamic, and rapidly-growing field. Over 26 weeks of part-time study, students will learn practical and theoretical machine learning concepts using real-world tools—graduating with the working knowledge and experience needed to qualify for a range of data roles, including those focused on AI. Students will also receive professional career coaching support for up to a year following graduation to help build and maintain an ideal and specialized career path in the industry.

Gain in-demand SQL skills with expert-led training that prepares you for the Oracle Database SQL Certified Associate exam. Learn to write queries, analyze data, and navigate real-world database environments using PostgreSQL and other major platforms.

Learn to transform raw data into compelling, interactive visuals using Python libraries like Matplotlib, Seaborn, Plotly, and Dash. This self-paced course guides you through hands-on projects and real-time mentoring as you build and deploy your own professional dashboard.

In this comprehensive Python course, participants will learn how to use Python for data analysis and data science projects. This beginner course starts with the basics of Python programming and foundational coding concepts. Students then learn how to leverage key data packages such as Pandas, NumPy, Matplotlib, and Scikit-learn to start analyzing and visualizing data with Python.

In this one-day course on Python for Data Science with Jupyter Notebooks, participants will learn how to use Python for data analysis and data science projects. This course begins with an overview of the basics of Python programming and foundational coding concepts. Students then learn how to leverage key data packages such as Pandas, NumPy, Matplotlib, and Scikit-learn to start analyzing and visualizing data with Python.

In this course, students explore the essentials of machine learning. While learning to work with Python, students gain familiarity with object-oriented programming and neural networks.