Contact: +4-0725-600-700

Trainer

Robert Komartin

 Robert Komartin

Cu peste 15 ani de experienta in management si consultanta IT, Robert a indeplinit roluri de coordonare si leadership in domeniul vanzarilor si al implementarilor de proiecte complexe IT (cu focus pe domeniul ERP & BI) la companii precum SIVECO Romania, LLP Group/LLP Dynamics, Microsoft South East Europe, Oracle Romania si Wizrom Software. Robert este absolvent de informatica economica, cu studii aprofundate în sisteme informatice pentru management, precum si doctor în economie (cu o teza referitoare la metodologiile de implementare ale sistemelor informatice integrate).


Contact

Pointlet

S.C. Pointlet s.r.l.
Tel: +4-0725 600 700
Tel: +4-0745 342 643

Abonare Newsletter!
office@pointlet.com

Detalii Curs

Data Scientist Workshop

Descriere
Din punctul de vedere al continutului, seminarul isi propune sa trateze de o maniera integrata intreg ciclul de analiza a datelor, de la definirea problemei de business si pana la comunicarea si operationalizarea rezultatelor obtinute, urmarind maniera in care activitatile si problemele tipice apar in viata unui proiect de analiza a datelor. Din punctul de vedere al formei, seminarul este dezvoltat intr-o paradigma de invatare experientiala – conceptele sunt transmise participantilor nu (numai) prin expunerea teoretica, ci (mai ales) prin studii de caz ce reflecta de o maniera practica problematica abordata, solicitand implementarea efectiva a elementelor discutate.

Durata: 5 zile

Audienta: Cursul se adreseaza managerilor de departamente de analiza a datelor si de CRM si echipelor lor de analisti de busines cu responsabilitati in domeniul analizei unor volume mari de date. De asemenea, seminarul este disponibil intr-o versiune “light”, de o zi, destinata introducerii conceptelor de baza si al aplicarii lor folosind instrumente accesibile (cum ar fi Microsoft Excel si QlikView) unei baze mai largi de utilizatori cu atributiuni manageriale sau operationale legate de analiza de date.

Module Curs:

0. Intro
- State of the Art in Business Analytics
- What the Heck is a Data Scientist?

1. Data Analytics Lifecycle
- Problem – Define Objective and Levers
- Data – Discover and Prepare Data
- Model – Planning and Building
- Closing the Loop – Communicate Results and Make it Work

2. Basic Analytics – a Few Methods
- A Gentle Introduction to R
- Descriptive (i.e. Measurement) Statistics
- Inferential (i.e. Model Building) Statistics
- Data Visualization/Graphical Data Analysis

3. Advanced Analytics – Machine Learning Theory and Methods
- A Few Words about Octave/MATLAB
- Linear Regression with One and Multiple Variables
- Logistic Regression
- Neural Networks
- Support Vector Machines
- Clustering
- Decision Trees
- Dimensionality Reduction
- Recommender Systems

4. Advanced Analytics - Big Data Technologies and Algorithms
- Basic Technology – Hadoop, the Toy Elephant
- MapReduce – Ever Wondered How Google Answers so Fast?
- Stream Computing – What to Do When There Is No More Place in the Storage Room?

5. AClosing the Loop – When the Genie Leaves the Lamp
- Advice for Applying Data Analysis in Practice
- Data Analysis System Design
- Large Scale Data Analysis Implementations


Acceseaza Calendar Cursuri
Acceseaza Formular inscriere

Dotare Tehnica - Sali de Curs