Business Data Mining Using Python : Discovering Knowledge
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 4.07 GB
Genre: eLearning Video | Duration: 24 lectures (7 hour, 22 mins) | Language: English
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 4.07 GB
Genre: eLearning Video | Duration: 24 lectures (7 hour, 22 mins) | Language: English
Collecting, preparing, analyzing and visualizing business data to solve common issues in 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
Course: "Python and Programming Essentials For Business"
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