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Python Data Analysis and Visualization

This course is an introduction to data analysis with the Python programming language, and is aimed at beginners.

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Levels
Beginner
Video Hours
05:42:25
Exercises
65
Videos
6

Course Introduction

Course Overview

This 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 covered 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.

Course Goal

Students will learn 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.

Prerequisites

If you have good knowledge of basic data types (e.g. string, numeric), data structures (e.g. list, tuple, dictionary) and are familiar with concepts of list comprehension and for/while loop, you are good to go with the Python for Data Analysis and Visualization course.

Instructors

Daniel Donohue

Daniel Donohue (A.B. Mathematics, The University of Chicago, M.S. Mathematics, Oklahoma State University) spent the last several years as a pure mathematics Ph.D. student at the University of Missouri, studying topics in algebraic geometry. From his past experiences, he brings with him a voracious appetite for knowledge and learning, and a keen ability to explain difficult concepts in down-to-earth terms. From his more recent experiences, he brings a command of the Python and R programming languages. The combination of these makes Daniel particularly effective as an instructor here at the NYC Data Science Academy

Luke Lin

Luke holds a PhD in Mathematics at Stony Brook University, specialized in partial differential equations. As a lifelong learner of mathematics, he is extremely efficient in quantitative analysis and also skilled at communicating abstract concepts. With proficiency in R and Python, Luke is primed to be a major asset to any analytic force. Being extremely passionate to share the insight of the data from variety of industries, Luke looks forward to meeting talented students from all kinds of background here in NYC Data Science Academy.

Curriculum

Setting up a Python Environment
Python Data Analysis - Numpy
Python Data Analysis - Scipy and matplotlib
Python Data Analysis - Pandas Part 1
Python Data Analysis - Pandas Part 2
Natural Language Processing

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Python Data Analysis and Visualization

$795

This course is an introduction to data analysis with the Python programming language, and is aimed at beginners.

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