This book is primarily written to serve as study material for the course Practical Project Management (7.5 credits/hp) given at the Stockholm University, Department of Computer and Systems Science. Even if the content to some extent has specific focus on IT-Projects, the aim with the book is to describe the project process in a generic way, suitable for projects in most ”industries”. The book could of course also be read by anyone just interested in the subject as such.
This book is primarily written to serve as study material for the course Practical Project Management (7.5 credits/hp) given at the Stockholm University, Department of Computer and Systems Science. Even if the content to some extent has specific focus on IT-Projects, the aim with the book is to describe the project process in a generic way, suitable for projects in most ”industries”. The book could of course also be read by anyone just interested in the subject as such.
Inglés
Stock Trading : This book includes: - Swing Trading - Swing Trading Strategies
Project management by numbers : simple- clear-short-fast
Inversiones en renta variable : Fundamentos y aplicaciones al mercadeo accionario colombiano
Deliver - Effective International Project Management
Preparations for the ISO Implementation Project – A Plain English Guide : A Step-by-Step Handbook for ISO Practitioners in Small Businesses
One Up On Wall Street : How To Use What You Already Know To Make Money In The Market
The Ultimate Day Trader : How to Achieve Consistent Day Trading Profits in Stocks, Forex, and Commodities
Successfully Designing Hybrid Project Management : Why the combination of Scrum with conventional project management approaches hardly adds any value and which alternatives have been proven for years.
Mercado de capitales y portafolios de inversión 2ª edición
Además, soy empresario en Bolsa
Statistics 101 : From Data Analysis and Predictive Modeling to Measuring Distribution and Determining Probability, Your Essential Guide to Statistics
Data Science from Scratch : The #1 Data Science Guide for Everything A Data Scientist Needs to Know: Python, Linear Algebra, Statistics, Coding, Applications, Neural Networks, and Decision Trees
