Duration: 7h28m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 4.11 GB
Genre: eLearning | Language: English
Qualify students to solve business problems using their intersected skills in python, business and machine learning.
What you'll learn
Make Confident Decisions.
Applied machine learning with python to solve business administration problems and support decision making.
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
Completed course: "Python Essentials For Business Analytics." or familiar with python fundamentals
Description
Do you believe that machines should be a part of the company's board of directors? if yes enroll in this course otherwise please wait for a while.
After completing the this course participant should play a key role in analyzing existing data of business and provide important indicators for the companies they are working for to make strategic decisions. student can replace the entire Business Intelligence system within firms by their intersected python, business and statistics skills out of the course .
In each lecture of the course we are going to go through the whole data analysis phases ranging from collecting data to visualization in context of a particular business challenge .
As result the course focus on student training to solve real word business issues that most businesses face in the current data technology generation.
(1) Business: case or common problem
(2) MACHINE LEARNING: the relevant machine learning method for the business case.
(3) Python: Use of python to apply the statistical method to solve the business case
For instance in the first lecture the business challenge is to predict value of an account within balance sheet in the next year based on previous balance sheets. in order to fulfill this business requirement we must go through a number of stages by support of python and statistics as shown below:
(1) Connect to Archive database server (SQL Server) and collect previous 200 year balances sheets using Python.
(2) Apply Linear Regression on data.
(3) Find relationship between accounts from the historical data
(4) Predict the required account based on another.
(5) Visualize result for reporting.
In this course you can communicate with instructor in English, German and Arabic for questions and assistance during your learning process.
Who this course is for:
Accountants
Financial Analysts
Bankers
Business Managers
Students of Accounting and finance
Business analysts
Data analysts
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Cantinho Satkeys
