Intro to Data Science

Udacity
Online

Free

Important information

  • Course
  • Online
  • When:
    Flexible
Description

What does a data scientist do? In this course, we will survey the main topics in data science so you can understand the skills that are needed to become a data scientist!

Important information
Venues

Where and when

Starts Location
Flexible
Online

What you'll learn on the course

Data analysis
Data
Data science
Data Visualization
Data Wrangling

Course programme

Course Summary

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 Data

The 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.

Lesson 1: Introduction to Data Science
  • Introduction to Data Science
  • What is a Data Scientist
  • Pi-Chaun (Data Scientist @ Google): What is Data Science?
  • Gabor (Data Scientist @ Twitter): What is Data Science?
  • Problems Solved by Data Science
  • Pandas
  • Dataframes
  • Create a New Dataframe
Lesson 2: Data Wrangling
  • What is Data Wrangling?
  • Acquiring Data
  • Common Data Formats
  • What are Relational Databases?
  • Aadhaar Data
  • Aadhaar Data and Relational Databases
  • Introduction to Databases Schemas
  • API’s
  • Data in JSON Format
  • How to Access an API efficiently
  • Missing Values
  • Easy Imputation
  • Impute using Linear Regression
  • Tip of the Imputation Iceberg
Lesson 3: Data Analysis
  • Statistical Rigor
  • Kurt (Data Scientist @ Twitter) - Why is Stats Useful?
  • Introduction to Normal Distribution
  • T Test
  • Welch T Test
  • Non-Parametric Tests
  • Non-Normal Data
  • Stats vs. Machine Learning
  • Different Types of Machine Learning
  • Prediction with Regression
  • Cost Function
  • How to Minimize Cost Function
  • Coefficients of Determination
Lesson 4: Data Visualization
  • Effective Information Visualization
  • Napoleon's March on Russia
  • Don (Principal Data Scientist @ AT&T): Communicating Findings
  • Rishiraj (Principal Data Scientist @ AT&T): Communicating Findings Well
  • Visual Encodings
  • Perception of Visual Cues
  • Plotting in Python
  • Data Scales
  • Visualizing Time Series Data
Lesson 5: MapReduce

  • Big Data and MapReduce
  • Basics of MapReduce
  • Mapper
  • Reducer
  • MapReduce with Aadhaar Data
  • MapReduce with Subway Data