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Structured Data Handling Using SQL For Accountants

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MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 26 lectures (3h 38m) | Size: 2.47 GB

ORACLE, SQL, PL/SQL, SQL Developer and Database Modelling.


What you’ll learn:
Database Development , SQL, ORACLE PL/SQL

Requirements
English B1

Description
As a part of experiments in academic research titled ” Enhanced Methods to Develop Productive Programmers “.

this course was created in order to take a place within the educational process of creating technology experts from any field specially finance and statistics.

the course consist of the sections below:

Structured Data Handling Using SQL:

– Discovering data entities.

Different database management systems exist in most companies and banks, the cycle of working with data, connect to Oracle servers , discover data entities and retrieve data using SELECT statement.

– Filtering datasets.

In this Section students will learn how to filter data and restrict results according specific conditions using where clause and logical operators.

– Transforming data on needs.

Data mining or working to discover and create data pattern require detailed knowledge of numeric and character functions that can be used in SQL, in this section all functions help to transform original data will be explained and run against database server for practice.

– Change data in where it lives.

– Summarize multiple data records.

– Joining datasets.

– Further joins of datasets.

– Apply business logic on data.

– Creating new data view and entity.

Workshop is proper for people willing to work in the field of data analysis and programming ,however no prior data analysis skills or programming knowledge is required for subscription as the training is supposed to achieve that and create specialized accountants in handling database systems using the structured query language.

Who this course is for
Accountants
Finance Experts
Business Specialists
Human Resources Specialists
Bankers

Structured Data Handling Using SQL For Accountants

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