Take Python Programming to the Next Level

Data Science with Python: Data Analysis and Visualization

A comprehensive introduction to data science with Python programming language that introduces how to work with different data structures and covers the most popular data analytics and visualization modules.

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( 322 Reviews)
Best Data Science Bootcamp
5 Years Running

Data Science with Python: Data Analysis and Visualization

This class targets people who have some basic knowledge of programming and want to take it to the next level. It introduces how to work with different data structures in Python and covers the most popular Python data analysis and visualization modules, including numpy, scipy, pandas, matplotlib, and seaborn. We use Ipython notebook to demonstrate the results of codes and change codes interactively throughout the class.

Unit 1: Introduction to Python
    Python is a high-level programming language. You will learn the basic syntax and data structures in Python. We demonstrate and run codes within Ipython notebook, which is a great tool providing a robust and productive environment for interactive and exploratory computing.
  • Introduction to Ipython notebook
  • Basic objects in Python
  • Variables and self-defining functions
  • Control flow
  • Data structures
Unit 2: Explore Deeper with Python
    Python is a high-level programming language. You will learn the basic syntax and data structures in Python. We demonstrate and run codes within Ipython notebook, which is a great tool providing a robust and productive environment for interactive and exploratory computing.
  • How to deal with files
  • How to deal with files
  • Handling and processing strings
Unit 3: Scientific Computation Tool
    There are two modules for scientific computation that make Python powerful for data analysis: Numpy and Scipy. Numpy is the fundamental package for scientific computing in Python. SciPy is an expanding collection of packages addressing scientific computing.
  • Numpy
  • ScitPy
Unit 4: Data Visualization
    Python can also generate graphics easily using “Matplotlib” and “Seaborn”. Matplotlib is the most popular Python library for producing plots and other 2D data visualizations. Seaborn is a Python visualization library based on matplotlib. It provides a high-level interface for drawing statistical graphics.
  • Seaborn
  • Matplotlib
Unit 5: Data manipulation with Pandas
    Pandas provides rich data structures and functions for working with structured data. The “DataFrame” object in Pandas is just like the “data.frame” object in R. Pandas makes data manipulation (filter, select, group, aggregate, etc.) as easy as in R.
  • Pandas
  • Final Project
$1590

* Tuition paid for part-time courses can be applied to the Data Science Bootcamps if admitted within 9 months

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Customer Reviews

"Worth Your Investment!"

The weekend class is extremely helpful. You spent 5 hours on Sunday and learn as much as you could during those hours. Because it is taught by using Jupyter notebook, it is really easy to follow and to relearn over the following week. The teacher has really good understandings of machine learning theories and on the application of data science across different fields. It is an investment that will pay dividends in your career if you are determined to bring some data science to your toolbox and your workplace.

Samuel Mao, Data Scientist

"Great Course! Learned A lot!"

Anthony was great - really got into the practical uses of python for data analysis and had really useful analogies to understanding different topics and concepts. Really enjoyed the class and felt like I could take something practical away from it.

Nikhil Krishnan, Strategic Partnerships Manager
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Reasons to Enroll

Instructors

Our instructors are consistently highly rated by their students.  They not only know their subject cold, they are experts at teaching you.

Curriculum

Our curriculum is continuously updated to reflect the latest technology trends.

Technology

Learn on the latest technology.  When you complete this course, you will have a solid foundation in python and the use of the tools.

Alexander Baransky
DATA SCIENCE INSTRUCTOR

Alex received his degree in Environmental Biology from Columbia University. He has experience with multiple computer languages including Python, R, and SQL. As an engineer at heart and biologist through training, Alex is passionate about animal behavior and finding innovative ways to use data science in the field of biology. 

Alexander Baransky - Data Science Instructor

Your Certificate of Completion

Your Completion Certificate - Just The Beginning

Completing the Data Science with Python: Data Analysis and Visualization is no small achievement. It signifies to the world that you successfully learned the foundational python programming skills you will need to progress onto the more advanced Python skills and ultimately, completion of our Data Science Bootcamp.

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Certificate of Completion

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Numpy

Module
Data Analysis Packages
 
Instructor
Hasan Aljabbouli
 
Description
NYC Data Science Academy's Instructor, Hasan Aljabbouli, walks through a lecture on numpy array.