Coursera - Introduction to Data Science

MP4 | AVC 88kbps | English | 960x540 | 30fps | 16h 03mins | AAC stereo 113kbps | 3.88 GB

Genre: Video Training

Commerce and research is being transformed by data-driven discovery and prediction. Skills required for data analytics at massive levels – scalable data management on and off the cloud, parallel algorithms, statistical modeling, and proficiency with a complex ecosystem of tools and platforms – span a variety of disciplines and are not easy to obtain through conventional curricula. Tour the basic techniques of data science, including both SQL and NoSQL solutions for massive data management (e.g., MapReduce and contemporaries), algorithms for data mining (e.g., clustering and association rule mining), and basic statistical modeling (e.g., linear and non-linear regression).

Categories:

Information, Tech & Design

Computer Science: Systems & Security

Computer Science: Software Engineering

Statistics and Data Analysis

Course Syllabus:

Part 0: Introduction

Examples, data science articulated, history and context, technology landscape

Part 1: Data Manipulation, at Scale

Databases and the relational algebra

Parallel databases, parallel query processing, in-database analytics

MapReduce, Hadoop, relationship to databases, algorithms, extensions, languages

Key-value stores and NoSQL; tradeoffs of SQL and NoSQL

Entity resolution, record linkage, data cleaning

Part 2: Analytics

Basic statistical modeling, experiment design, introduction to machine learning, overfitting

Supervised learning: overview, simple nearest neighbor, decision trees/forests, regression

Unsupervised learning: k-means, multi-dimensional scaling

Graph Analytics: PageRank, community detection, recursive queries, iterative processing

Text Analytics: latent semantic analysis

Collaborative Filtering: slope-one

Part 3: Communicating Results

Visualization, data products, visual data analytics

Provenance, privacy, ethics, governance

Part 4: Guest Lectures

Guest Lectures: AMPLab, Datameer, SciDB, more