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Autor Tópico: Business Intelligence: Discovering knowledge using python  (Lida 257 vezes)

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Business Intelligence: Discovering knowledge using python
« em: 24 de Agosto de 2020, 09:59 »

Business Intelligence: Discovering knowledge using python
Duration: 1h44m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.6 GB
Genre: eLearning | Language: English
Applying important data analysis methods on repeated issues to unlock value of data within different business sectors.

What you'll learn
Applying statistical methods on data by using python to solve important business problem.
Apply business statistics basic methods.
Solve linear problems in production management.
Fetch, transform, analyze and visualize stock prices of a particular company from stock market data source directly.
Predict expected amount of particular account by analyzing previous balance sheets.
Determine whether a relationship between tow accounts within historical balance sheets exists.
Analyse customers based on predefined constraints and extract sets of their characteristics.
Convert currencies based on European Central Bank latest prices.
Create dynamic reports reading data from external sources instantly.
Fetch, extract, transform and visualize historical population of a country against another.

Requirements
Python primary skills
Basic mathematics
Business background
English B1

Description
The course focus on applying statistical method on data using python in order to solve regular business problem in different areas such as Marketing, finance and production.
Each lecture in the course is a solution for particular business case containing three major skills to learn:
(1) Business:  case or common problem
(2) Statistics: topic in statistics or math relevant to the business case.
(3) Technology: use of python language to apply statistical or mathematical method in order to provide solution for the business case
Who this course is for:
Accountants
Financial Analysts
Bankers
Business Managers
Students of Accounting and finance
Business analysts
Data analysts

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