# Python for Data Science Bootcamp Canonical URL: ## Overview ### Learn Python and Data Science in NYC This accelerated 5-day bootcamp is perfect for aspiring programmers and data scientists with little to no experience. Python is among the most natural programming languages to learn for several reasons. The easy-to-remember syntax uses actual English words, and the robust structure makes it possible to extend the functionality of programs beyond what most coding languages are capable of. Python is quickly replacing R as the ideal programming language for data scientists. Because it's very versatile, Python can also be used to develop web applications and games. By learning Python, you open the doors to not only a variety of career possibilities but also high earning potential. Python developers are among the [highest-paid programmers in New York](/training/python). ### Python Data Science Bootcamp in NYC This accelerated five-day bootcamp covers the basics of Python. On Days 1 and 2, you'll jump into the basics of Python and object-oriented programming. The libraries, NumPy and Pandas, are reviewed on Day 3. On Day 4, you'll explore data analysis and visualization. On the final day of the course, you'll complete some real-world projects using linear regression and statistical modeling. By the end of the bootcamp, you'll be able to use popular data science packages, including Pandas, Matplotlib, and scikit-learn to evaluate data and create visualizations. ### Prerequisites No previous coding or math experience required, basic computer skills [Python Bootcamp](https://www.nobledesktop.com/classes/python-data-science-courses-nyc) classes are held at our coding school, [Noble Desktop, 185 Madison Avenue in Midtown](https://www.nobledesktop.com/python-classes-nyc). ## What you'll learn - Data types within Python which include strings, integers, list, floats, etc. - Control flow, looping, and function which will allow you to create powerful programs. - Object-oriented programming, which allows for the creation of reusable programs. - Combine these skills into a special project in data science. ## Curriculum ### Python Fundamentals #### Python Fundamentals: Variables & Data Types - Declare variables of basic types: integers, floats, strings, booleans - Perform input/output with print() and input() - Apply arithmetic, relational, and logical operators #### Control Flow I: Conditional Logic - Use Boolean operators ==, !=, \<, \>, \<=, \>= - Write if/else and nested conditionals - Combine conditions with and/or for complex logic #### Control Flow II: Loops & Iteration - Implement for loops over ranges and lists; understand iterables - Understand map and filter operations. - Use list comprehensions to simplify operations. #### DataFrames & Data Manipulation with Pandas - Construct DataFrames from various data formats via pd.DataFrame() - Concatenate multiple DataFrames using pd.concat() - Inspect DataFrame shape and handle missing values (NaN) - Perform Panda data analysis operations to glean insight #### Data Visualization: Charting Basics - Plot time series with plt.plot() for line charts - Create scatter plots using plt.scatter() to reveal correlations - Decide between line vs. scatter based on data context and purpose #### Trend Analysis with Regression Lines - Understand least-squares regression concept and its interpretation - Compute a best-fit line via numpy.polyfit() - Overlay regression lines on scatter plots and make predictions #### Advanced Plot Customization - Annotate charts with titles, axis labels, and legends - Highlight key data points (e.g., min/max) directly on plots - Use stacked bar charts, pie charts, and animated charts to visualize data ## Schedule - Jul 26, 2026 – Aug 23, 2026 — NYC - Jul 27, 2026 – Jul 31, 2026 — NYC - Aug 4, 2026 – Sep 3, 2026 — NYC - Sep 14, 2026 – Sep 18, 2026 — NYC - Nov 2, 2026 – Nov 6, 2026 — NYC - Nov 17, 2026 – Dec 22, 2026 — NYC - Nov 30, 2026 – Dec 4, 2026 — NYC - Dec 13, 2026 – Jan 10, 2027 — NYC ## Pricing **Tuition:** $1495 Payment options: GI Bill accepted.