# Data Science Bootcamp NYC

Data science classes in-person in NYC (34th & Madison Ave), onsite, or online from anywhere

Canonical URL: <https://www.graduateschool.edu/certificates/data-science-bootcamp-nyc>

## Overview

This beginner-friendly program equips you with the core skills needed for entry-level roles in data science and Python engineering. You’ll learn Python programming, SQL querying, and essential data science libraries to analyze and clean data, automate workflows, and prepare datasets for deeper exploration. Along the way, you’ll build dashboards and visualizations with tools like Matplotlib, Seaborn, and Plotly to effectively present insights.

As the program progresses, you’ll gain hands-on experience applying machine learning algorithms with scikit-learn to solve real-world problems and evaluate model performance. Industry-aligned projects and 1-on-1 mentorship provide practical experience and guidance, helping you showcase your skills on platforms like GitHub.

## What you'll learn

- Analyze tabular data with NumPy and Pandas; Create graphs and visualizations with Matplotlib
- Make predictions with linear regression; Apply machine learning algorithms to the data
- Clean and balance data in Pandas
- Make interactive dashboards with Dash Enterprise
- Evaluate the performance of machine learning models
- Combine information across tables with join statements
- Learn advanced techniques such as subqueries and stored procedures
- Write programs in Python to automate everyday tasks

## Curriculum
1. **Python for Data Science Bootcamp**
2. **SQL Bootcamp**
3. **Python Automation Course**
4. **Python Data Visualization & Interactive Dashboards Course**
5. **Python Machine Learning Bootcamp**
6. **Data Science Capstone Projects (Self-Paced)**
7. **Python for AI: Create AI Apps with Flask & OpenAI**

## Instructors

### Steve Pesklo — Instructor

Steve is an energetic trainer who focuses on applying technical concepts to everyday work practices. He is the founder and president of SoftLake Solutions, a company that specializes in providing data and AI applications to identify fraud for Internal Audit, Criminal Investigations, Forensic Accounting, Privacy, and Compliance.

Steve brings a large amount of experience across multiple industries and government agencies. He is an expert in implementing large data analysis projects across the world, including Inland Revenue in the UK and Argentina, New Zealand, Africa and across Europe. Previously, he was the manager of Data Architecture and Data Services for a large mortgage company. He is a frequent speaker on data analytics and project management topics and speaks fluent German. He has been teaching at the Graduate School for over 10 years.

Steve has an M.B.A. from the University of St. Thomas and a B.S. in Computer Science from California Lutheran University and the Universität Salzburg in Austria. He is certified as a Certified Fraud Examiner (CFE), Project Management Professional (PMP), and a Certified ScrumMaster (CSM).

## Pricing

**Tuition:** $3995

Payment options: Student financing available; see the current application terms and pay-as-you-go installments.