FinTech Classes Miami, FL

Learn to problem solve, and effectively communicate, like an analyst. This course teaches you to use industry-standard tools to make ethical, data-driven decisions. Experience hands-on training to master SQL, Excel, Tableau, PowerBI, and Python – tools listed in virtually every data analytics job posting across industries.

Upskill and take your finance skills to the next level with this Python for Finance class. You'll learn to analyze large amounts of financial data using Python, create visualizations, and start using statistics for predictive modeling. 

In this Data Analyst course, students will master Python, SQL, Looker (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 practices, and industry-standard tools, along with comprehensive training in strategizing and developing A.I. projects from development to deployment, with a focus on privacy and security.

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 forest. This will bring important statistical concepts to the forefront, such as bias, variance, and overfitting. Participants also learn how to measure the accuracy of your models, as well as tips for choosing effective features and algorithms.

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 data frames, data analysis, data visualization, and statistical analysis. This course offers flexible scheduling options and a free retake for students to refresh the materials.

In this Python automation course, students will learn to automate tasks using Python for various applications. This course is meant for those with prior Python experience looking to learn automation techniques like scheduling programs, updating spreadsheets, and web scraping. Topics include HTML and CSS basics, web scraping techniques, working with spreadsheets using Python, and scheduling scripts. This course offers flexible scheduling options plus a free retake for students to refresh the material.

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 like Pandas, Numpy, Matplotlib, and Scikit-learn to start analyzing and visualizing data with Python.

In this 1-day course on Python for Data Science: 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 like Pandas, Numpy, Matplotlib, and Scikit-learn to start analyzing and visualizing data with Python.

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