You better watch out,
– Traditional Database Administrator Holiday Carol
You better not cry,
SELECT * FROM children
WHERE behavior = ‘nice’;
SQL Clause is coming to town.
🙂
Month: February 2019
The Field Guide to Data Science by Booz Allen Hamilton
Describing Data Science is like trying to describe a sunset – it
Booz Allen Hamilton
should be easy, but somehow capturing the words is impossible.
Fundamentals of Data Science: Tools
Database Platforms
- SQL
- NoSQL
- Graph-Based DB
Programming Languages
- Python
- R
- Scala
- Julia
Data Analytics Software
Visualization Software
- Plot.ly
- D3.js
- Tableau
Version Control Systems
- Git
- Github
AI/Deep Learning
- Tensorflow
- Keras
Frameworks
- Spark
- Hadoop
“Describing Data Science is like trying to describe a sunset – it should be easy, but somehow capturing the words is impossible.”
“The Field Guide to Data Science” – Booz Allen Hamilton
Fundamentals of Data Science: Transforming Data into Action
- Data
- Information
- Knowledge
- Intelligence
- Action
Methodologies
- Statistical analysis
- Regression
- Classification
- Clustering
- Time series analysis
- Anomaly detection
- NLP
- Distributed ML
- Graph analysis
- Recommender systems
- Neural networks / Deep learning
Data Science Pipeline
- Planning
- Acquisition
- Preparation
- Exploration
- Modeling
- Delivery
- Maintenance
Data science sits in the intersection of math, programming, and business expertise.
Fundamentals of Data Science: History and Future of Data Science
History
Capability increased due to decreasing cost of data storage, cpu, and bandwidth.
Demand increased due to large amount of data being generated.
Future
- Demand for talent
- “The future is so bright, Ada would need shades” – Joseph Burton
- Emerging subdisciplines
- Machine Learning Engineer
- Data Visualization Engineer
- Data Journalist
- Big Data Engineer
- Continued reduction in technical learning curve
- Automation around machine learning and data wrangling
- Ethics
- risk of discrimination in “Black Box” models
- machine learning can be used for bad as well as for good