Data Analyst: il top player che tutti desiderano in azienda

Azzurra RagoneData Driven Innovation Summit 2016

DATA SCIENTIST: il top player che tutti desiderano in azienda


Azzurra Ragone Università di Milano Bicocca

https://it.linkedin.com/in/azzurraragone@azzurraragone




“Levare il superfluo dalla materia per ridurre a forma di corpo che nella idea dello artefice è disegnata".(Vasari)


The McKinsey Global Institute predicted that by 2018 the U.S. could face a shortage of 1.5 million peoplewho know how to leverage data analysis to make effective decisions


The first steps on your path to professional data viz


Data Career Paths

Degree coursesEngineeringStatisticsMathematics

...

Data Science MastersMix of computer science, statistics, sociology, economic

Online ResourcesMassive Open Online Courses (MOOC)Tutorials


Data Scientist key competences

Machine LearningProgramming languages Math, Stats


Technology





Data Scientist Jobs - Google Trends


Data Analyst Jobs - Google Trends


Same mission in the company

To glean insight from the massive pool of data available


Where Data Analytics ends and Data Science begins...


A data analyst is a junior data scientist



Data Analysts focus on visualizations describing and summarizing the past


Data Scientists manipulate data and create models to improve the future (predictive models)


Data scientist?

Thomson Nguyen - CEO and Co-founder of Framed Data


Academic Curiosity


“ Academic curiosity is a desire to go beneath the surface and distill a problem into a very clear set of hypotheses that can be tested [...] look at the available data sets and sources to figure out an experiment or a model that solves one of the company’s problems.Thomson Nguyen


Storytelling


Product Sense


Statistical and machine learning

knowledge


Engineering experience


Creativity


“Skills to work with Big Data” Source: “Creating Value through Open Data” - EU commission - 2015


Data Specialist team

Data Scientist

Data Analyst

Data Engineer


Data Science


Graph Analytics


The Indexable Web graph

Billions of nodes, trillions of edges

Source: Wired


The Facebook graph

1B of nodes (users), 200B of edges(friendships)


Recommender Systems

Matrix with:Millions of usersMillions of itemsBillions of ratings




Personalized Information Access

▪ Help the user in finding the information they might be interested in

▪ Consider their preferences/past behaviour

▪ Filter irrelevant information


Recommender Systems

Matching

Information Overload



Explanation

Transparency Validity

TrustworthinessEffectiveness

Efficiency

SatisfactionRelevance

Persuasiveness

Comprehensibility

Education


Explanation in Netflix


Accuracy

Diversity

Novelty

Serendipity

Cross-domain


Semantic Recommender Systems


The Linked Open Data Cloud

Web 3.0

Source: (http://lod-cloud.net/)


LOD is the Web


RDF - Resource Description Framework


SPARQL


“ If I had to express my views about the digital future – that of Europe or indeed, of the whole world - I could do it with one word: data.

Andrus Ansip, Vice-President Digital Single Market


Thanks!!Any questions?You can find me at [email protected]

Data Analyst: il top player che tutti desiderano in azienda

Data & Analytics