Datascience, Big Data, Analytics and Visualization Learning Guide
- === DataSci Learning Guide
- === DataSci Ops Engineering, Cleanup, Analysis, ETL
- r BIG Data Analytics, BI, ETL
- ==== Big data Use Cases, Theory, Apps
- ==== Analytics 101 !PRIO
- ---- VIZ
- --- Reporting, AutoViz and Analysis
- Time Series Analysis
=== DataSci Learning Guide
PY DataSci 101
=== DataSci Ops Engineering, Cleanup, Analysis, ETL
- GoodOvw> Dealing with a Mess https://www.packtpub.com/books/content/dealing-mess Packtpub> Data Analysis with R
Data Layer, Modelling, ETL
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
> 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
- 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 https://rpa.sccl.org/login?url=http://proquest.safaribooksonline.com/9781785889950
Recommendations & Persoanlization
- From Practical Data Science Cookbook https://www.packtpub.com/books/content/recommending-movies-scale-python
==== 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
- A Primer on Recommendation Systems 2016 https://www.youtube.com/watch?v=EoJU_Hv1_y0
==== Analytics 101 !PRIO
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 proquest.safaribooksonline.com.rpa.sccl.org/book/databases-and-reporting-tools/9781784397692
Predictive Analytics and 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 http://rpa.sccl.org/login?url=http://proquest.safaribooksonline.com/9781783983261
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 https://rpa.sccl.org/login?url=http://proquest.safaribooksonline.com/9781785882715
R: Predictive Analysis http://proquest.safaribooksonline.com.rpa.sccl.org/book/programming/r/9781788290371
Analytics Tool chains
- IPython Interactive Computing and Visualization Cookbook - Second Edition: ProQuest Tech Books
- CU Fundamentals of Data Visualization
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.