Datascience, Big Data, Analytics and Visualization Learning Guide

By pjain      Published Jan. 14, 2020, 2:18 a.m. in blog AI-Analytics-Data   

=== DataSci Learning Guide

DataSci 101

PY DataSci 101

Probability 101


Bayesian Analysis

DataSci Mgt

=== DataSci Ops Engineering, Cleanup, Analysis, ETL

  • GoodOvw> Dealing with a Mess Packtpub> Data Analysis with R

Python Data Analysis Cookbook: ProQuest Tech Books


Data Layer, Modelling, ETL

Data Cleanup

EZ non-SQL Data Agg, Schema Mapping, Versioning

  • Data aggregation that brings together data from across the company for use by all business units.

  • EZ of Data Agg/Model

    Tableau Powerful but PROBLEM> may not work for each organization. It costs a considerable measure to execute and keep up, and you do need to know (or have somebody available who knows) how to run SQL inquiries for redid work processes. Domo has advantage greater part of this associated information is then made accessible in a visual manager that disposes of the requirement for unique coding learning from any individual who communicates with the information.

Database Support - Multiple, ORM

Apache Superset speaks many SQL dialects through SQLAlchemy, a Python ORM that is compatible with most common databases. Look for the availability of a SQLAlchemy dialect for your database to find out whether it will work with Superset

  • Standard adapters > eg Domo boasts over 500 data connections that update in real-time

Custom adapters

> eg Domo allows extensibility through SKD and Design Studio for custom connections.

ETL Greenplum/Teradata access -> fetch data into DataViz tool

Data Schema Mapping

Secure Data Access, BE Interfaces

An extensible, high granularity security model allowing intricate rules on who can access which product features and datasets. Integration with major authentication backends (database, OpenID, LDAP, OAuth, REMOTE_USER, ...)

r BIG Data Analytics, BI, ETL

Using Python for the Cloud and Big Data Analytics



Data Mining

Learning Data Mining with Python: ProQuest Tech Books

Mastering Data Mining with Python – Find patterns hidden in your data: ProQuest Tech Books

  • Mastering Data Mining With Python Find Patterns Hidden in your Data : Learn How to Create More Powerful Data Mining Applications With This Comprehensive Python Guide to Advance Data Analytics Techniques By Squire, Megan Book - 2016

Recommendations & Persoanlization

  • From Practical Data Science Cookbook

==== Big data Use Cases, Theory, Apps

Examples of Big Data

Combining the benefits of online learning and the power of the hashing trick.

Biz Apps & Decisions

Statistics for Big Data For Dummies: ProQuest Tech Books

Beyond Basic Statistics: Tips, Tricks, and Techniques Every Data Analyst Should Know: ProQuest Tech Books

Translating Statistics to Make Decisions: A Guide for the Non-Statistician: ProQuest Tech Books



  • A Primer on Recommendation Systems 2016

==== Analytics 101 !PRIO

r Analytics

  • django-analytical - Integrates analytics services with a generic interface, templates stay clean.

  • Foundations for Analytics With Python By Brownley, Clinton W. 2016 cu BOOK

Analytics High End VIZ - Tableau

  • Tableau Mastering Tableau

Predictive Analytics and Control

  • CU Predictive Control

  • Learning Predictive Analytics With Python !PRIO Gain Practical Insights Into Predictive Modelling by Implementing Predictive Analytics Algorithms on Public Datasets With Python By Kumar, Ashish eBook - 2016

  • Mastering Predictive Analytics With Python Exploit the Power of Data in your Business by Building Advanced Predictive Modeling Applications With Python By Babcock, Joseph eBook - 2016

  • R: Predictive Analysis

Analytics Tool chains

---- VIZ


Authoring, Metadata > Viz

A lightweight semantic layer, allowing to control how data sources are exposed to the user by defining dimensions and metrics

A state of the art SQL editor/IDE exposing a rich metadata browser, and an easy workflow to create visualizations out of any result set.

An intuitive interface to explore and visualize datasets, and create interactive dashboards.

--- Reporting, AutoViz and Analysis

Time Series Analysis



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