FinTech Classes Minneapolis, MN

In this FinTech Bootcamp, participants learn how to use Python for financial analysis, machine learning and automation, and SQL. The program is taught by seasoned finance and data science professionals. Students will develop the ability to analyze financial statements, build predictive models, and work with databases. By the end of this course, newly-hired financial analysts will be prepared to succeed on the job, and aspiring financial analysts will have bolstered their resumes and technical interview skills. This course offers a free retake so students can refresh the material. It also includes one-on-one mentoring sessions.

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 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.

Learn Python for financial analysis, machine learning, and algorithmic trading from experienced finance & engineering professionals in this 60-hour immersive.

This 2-day course provides a deep-dive into using Python for data analysis. Students will get comfortable with the basics of Python programming and start working with Numpy Arrays, pandas, and MATPLOTLIB to perform data analysis and create data visualizations. This intensive course is meant to quickly get beginners in Python up to speed on performing data analysis and visualization in Python.

This Python and machine learning course is a 2-day bootcamp designed for individuals with some familiarity with Python programming looking to advance their skill set. In this hands-on bootcamp, students will learn how to use some Python data science libraries and various machine learning techniques. Day one of the bootcamp focuses on introducing students to two data science libraries (NumPy and Pandas), best practices for preparing data, an intro to machine learning, and regression analysis. Day two starts off with cross validation and regularization of data, concludes with classification, and brings everything learned in days one and two together.

This SQL bootcamp is a beginner-friendly workshop designed for individuals with no prior knowledge of SQL who are eager to learn. In this hands-on workshop, students will learn the basics of SQL syntax and how databases are organized. Students in this course will also learn how to query data, aggregate data with statistical functions (SUM, AVG, COUNT, etc.), group data, and use conditional operators (=, <, >, etc.) to sort and filter data, and much more. Students will also learn when and how to use UNIONs and JOINs to merge data to spot trends and other insights.

This 2-day course on Python with data science is intended for software developers, IT architects, and data scientists. This course will build on their knowledge of statistics and programming, teaching them the theoretical and technical aspects of the use for Python. Students will learn about the history and purpose of data science, life-cycle phases of data analytics, methods for repairing and normalizing data, and how to aggregate and group data. Students will also complete 10 lab exercises.

This course teaches the fundamentals of SQL querying. This 1-day program teaches students how to execute a simple query, perform a conditional search, work with functions, and organize data. Further, students will learn how to retrieve data from multiple sources and export query results via a text or XML file.

This 1-day course builds on the fundamentals of SQL querying. This intermediate program teaches advanced querying techniques. The coursework will cover the use of subqueries to perform advanced querying, manipulating table data and table structure. Students will learn how to work with views, index data and manage transactions.

This 3-day introductory course teaches the basics of SQL databases. Through the use of labs and lectures, students will learn the fundamentals of data modeling, the use of relational databases, and the normalization of raw data. Students will also learn how to design relationships, evaluate query performance, and use stored procedures.

This advanced SQL course is a 3-hour workshop designed for individuals already familiar with SQL who are looking to take their skills to the next level. In this advanced hands-on workshop, students will dive into advanced calculations and techniques to work with data more effectively through SQL. Students in this course will also learn concepts like Text Searching, Views, and Stored Functions and Procedures. Students will also be provided with resources to hone their skills and practice the concepts covered in the course.

This course teaches basic SQL Querying in 2-days. Students learn online, attending live training provided by professional instructors. The course explores database concepts such as grouping and summarizing data, joining tables, and clauses. Working in the online lab environment, students will get hands-on experience writing simple SELECT queries and using built-in functions and expressions.

This 1-day online course teaches students how to compose Advanced queries in SQL. Based on Microsoft’s SQL Server, this program is delivered live by experienced instructors, allowing for real-time feedback. Students will learn how to write advanced queries, advanced WHERE clauses, and create advanced joining tables. They will practice these schools in an online lab environment, where they can collaborate with other students.

This course is a 4-day comprehensive workshop on MySQL workbench data modeling and development. This program uses an online lab environment to allow students to practice what they are learning. The live training covers topics such as creating an ERD, defining the physical schemata, reverse engineering a database, managing security, and more. Students will also learn how to use MySQL Workbench to create and maintain MySQL databases effectively.

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.