Data Science with Python: Data Analysis & Visualization

at NYC Data Science Academy - Midtown

(45)
Course Details
Price:
$1,590 10 seats left
Start Date:

Sun, Oct 27, 1:00pm - Dec 08, 5:00pm (5 sessions)

Next start dates (1)

Location:
Midtown, Manhattan
500 8th Ave Ste 905
Btwn W 35th & W 36th Streets
New York, New York 10018
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Important:
Regular price.
No class on Nov 10th & Dec 1st
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Description
Class Level: Beginner
Age Requirements: 15 and older
Average Class Size: 15

What you'll learn in this data science course:

This five week course is an introduction to data analysis with the Python programming language, and is aimed at beginners. We introduce how to work with different data structure in Python. We cover the most popular modules, including Numpy, Scipy, Pandas, matplotlib, and Seaborn, to do data analytics and visualization. 

We use Ipython notebook to demonstrate the results of codes and change codes interactively during the class. Our past students include people have no programming experience and people have little exposure by taking Python class. Students told us our classes are very engaging, interactive, hands-on and have tons of content.

Day 1 – Introduction to Python

Python is a high-level programming language.You will learn the basic syntax and data structures in Python. Ipython provides a robust and productive environment for interactive and exploratory computing, which is great tool to do scientific computation and education.
  • Introduction to Ipython
  • Basic objects in Python
  • Variables and self-defining functions
  • Control flow
  • Advanced data structures
Day 2 – Explore deeper with Python
Python is a object-oriented programming language. Learn a little about OOP will help you understand how Python codes work. To do data analysis, the first thing you need to know is how to deal with files which contains data. Sometime the data is dirty and unstructured, you will learn text processing including regular expressions to deal with them.
  • Introduction to object-oriented programming
  • How to deal with files
  • Run Python scripts
  • Handling and processing strings
Day 3 – Scientific computation tools
There are three modules for scientific computation that make
Python as powerful as Matlab: Numpy, Matplotlib and Scipy. Numpy, short for Numerical Python, is the fundamental package for scientific computing in Python. Matplotlib is the most popular Python library for producing plots and other 2D data visualizations. SciPy is a collection of packages addressing a number of different standard problem domains in
scientific computing.
  • Numpy
  • Matplotlib (mainly the sub-module "pyplot")
  • Scipy (mainly the sub-module "stats)
Day 4 – Data Visualization
Python can also generate graphics easily using "Seaborn".  Seaborn is a Python visualization library based on matplotlib. It provides a high-level interface for drawing attractive statistical graphics.
  • Seaborn
Day 5 – Data manipulation with Pandas
Pandas provides rich data structures and functions designed to
make working with structured data fast, easy, and expressive. The "DataFrame" object in pandas is just like the "data.frame" object in R. Pandas makes data manipulation(filter, select, group, aggregate, etc.) as easier as in R.
  • Panda
School Notes: We offer a certification licensed by the NYS Board of Education.

Still have questions? Ask the community.

Refund Policy
We offer full refund if you are not happy with the first class and decide to drop it.

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NYC Data Science Academy

All classes at this location

Start Dates (2)
Start Date Time Teacher # Sessions Price
1:00pm - 5:00pm Alex Baransky & Tony Schultz 5 $1,590
This course consists of multiple sessions, view schedule for sessions.
Sun, Nov 03 1:00pm - 5:00pm Alex Baransky & Tony Schultz
Sun, Nov 17 1:00pm - 5:00pm Alex Baransky & Tony Schultz
Sun, Nov 24 1:00pm - 5:00pm Alex Baransky & Tony Schultz
Sun, Dec 08 1:00pm - 5:00pm Alex Baransky & Tony Schultz
1:00pm - 5:00pm Alex Baransky & Tony Schultz 5 $1,510.50
This course consists of multiple sessions, view schedule for sessions.
Sun, Jan 26 1:00pm - 5:00pm Alex Baransky & Tony Schultz
Sun, Feb 02 1:00pm - 5:00pm Alex Baransky & Tony Schultz
Sun, Feb 09 1:00pm - 5:00pm Alex Baransky & Tony Schultz
Sun, Feb 16 1:00pm - 5:00pm Alex Baransky & Tony Schultz

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Questions & Answers (2)

Get quick answers from CourseHorse and past students.

Question from Xuxinye X.
Do we need to bring a laptop, or will computers be provided? Because I have a MacBook not a PC
Answer from Daniel N. CourseHorse StaffCourseHorse Staff
No computers are provided. Students carry their own laptop. Mac book is ideal! They normally use Mac there.
Answer
Cancel
Question from Xuxinye X.
If I want to sign up for the course starting 1/21/2018 - when is the deadline to sign up?
Answer from Jenn C. CourseHorse StaffCourseHorse Staff
Hi! The school allows enrollments up until 9:00 am on the first day of the class on January 21st.
Answer
Cancel

Reviews of Classes at NYC Data Science Academy (28)

(28 Reviews)
Data Science with Python: Data Analysis & Visualization
Reviewed by Eli R. on 7/25/2017
This class was really enjoyable for me - it was a good way to get an introduction to a variety of very powerful Python libraries. Its certainly nowhere near as extensive as a full bootcamp, but if you're looking to be introduced to these concepts I couldn't recommend this more. I had Tony as an instructor and he was really helpful and did a great job of explaining concepts, and he took additional time to review homework solutions before class if we wanted.
Data Science with Python: Data Analysis & Visualization
Reviewed by Anonymous on 4/11/2017
I think it was a good introduction to Pandas, Numpy and Seaborn. I think a little bit too much time was spent on an introduction to Python, which I think should be a separate course so that people don't get lost and more time can be spent on data analysis. Overall, instructor was great and the class was good. I would definitely recommend if they made the changes I stated above.
Data Science with Python: Data Analysis & Visualization
Reviewed by Anonymous on 4/10/2017
This class is overall very helpful. It was a little heavier on the visualization part than I would have liked, but still good. There is a lot of material in a short timeframe, which is good overall, but it requires some time to work on and get through.
Data Science with Python: Data Analysis & Visualization
Reviewed by Ruchika S. on 3/4/2019
Data Science with Python: Data Analysis & Visualization
Reviewed by Wesner J. on 7/15/2018
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School: NYC Data Science Academy

NYC Data Science Academy

NYC Data Science Academy is a program designed to teach those who wish to learn.

Through hands-on projects and real-world applications, our students develop the skills they will need to pursue data science as both a hobby and profession. We also organize the NYC Open Data Meetup, which means that by...

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