Intro to Data Science

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Course Report - Intro to Data Science

Course Report

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Course Features

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Duration

2 months

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Teaching Type

Self Paced

Course Description

The Introduction to Data Science class will survey the foundational topics in data science namely Data Manipulation Data Analysis with Statistics and Machine Learning Data Communication with Information Visualization Data at Scale Working with Big DataThe class will focus on breadth and present the topics briefly instead of focusing on a single topic in depth This will give you the opportunity to sample and apply the basic techniques of data science This course is also a part of our Data Analyst Nanodegree

Course Overview

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Strong interest in data science

Background in intro level statistics

Python programming experience

Or understanding of programming concepts such as variables, functions, loops, and basic python data structures like lists and dictionaries

What You Will Learn

Introduction to Data SciencePi-Chaun (Data Scientist @ Google): What is Data Science?Gabor (Data Scientist @ Twitter): What is Data Science?Problems solved by data science

Data WranglingWhat is Data Wrangling?Acquiring dataCommon data formats

Data AnalysisStatistical rigorKurt (Data Scientist @ Twitter) - Why is Stats Useful?Introduction to normal distribution

Data VisualizationEffective information visualizationAn analysis of Napoleon's invasion of Russia!Don (Principal Data Scientist @ AT&T): Communicating Findings

MapReduceIntroduction to Big Data and MapReduceLearn the basics of MapReduceMapper

Course Instructors

Dave Holtz

Instructor

Instructor

Cheng-Han Lee

Instructor

Instructor
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