Oracle SQL for Data Analytics and Data warehousing overview
Oracle SQL for Data Analytics and Data warehousing overview, available at $39.99, has an average rating of 4, with 46 lectures, 5 quizzes, based on 4 reviews, and has 31 subscribers.
You will learn about Oracle SQL – Extensively about select statement (DML) from Data analytics point of view An overview about Data warehousing concepts. Understanding about other sql statement like DDL, DMLs Basic understanding of ER diagrams, Oracle Instance and Database This course is ideal for individuals who are Beginner interested to get into the most sought and on-demand career in Data analytics using Oracle SQL or Student who wish to enter into the career as Oracle Developer (analytics) and get an understanding on Data warehousing / analytics It is particularly useful for Beginner interested to get into the most sought and on-demand career in Data analytics using Oracle SQL or Student who wish to enter into the career as Oracle Developer (analytics) and get an understanding on Data warehousing / analytics.
Enroll now: Oracle SQL for Data Analytics and Data warehousing overview
Summary
Title: Oracle SQL for Data Analytics and Data warehousing overview
Price: $39.99
Average Rating: 4
Number of Lectures: 46
Number of Quizzes: 5
Number of Published Lectures: 45
Number of Published Quizzes: 5
Number of Curriculum Items: 51
Number of Published Curriculum Objects: 50
Original Price: ₹1,199
Quality Status: approved
Status: Live
What You Will Learn
- Oracle SQL – Extensively about select statement (DML) from Data analytics point of view
- An overview about Data warehousing concepts.
- Understanding about other sql statement like DDL, DMLs
- Basic understanding of ER diagrams, Oracle Instance and Database
Who Should Attend
- Beginner interested to get into the most sought and on-demand career in Data analytics using Oracle SQL
- Student who wish to enter into the career as Oracle Developer (analytics) and get an understanding on Data warehousing / analytics
Target Audiences
- Beginner interested to get into the most sought and on-demand career in Data analytics using Oracle SQL
- Student who wish to enter into the career as Oracle Developer (analytics) and get an understanding on Data warehousing / analytics
Enterprise worldwide has huge data on their business application be it in the from of ERP or Data warehousing information. The heart of these system are Relational data base and enterprise world over are looking for expert who can derive meaningful information from the system, so as to grow and drive the business.
An Oracle SQL expert from data analytics perspective is always on high demand. Considering this, the course is packed with all the necessary details.
Apart from regular sql ‘select statement ‘ which is called DML statement it also covers business analytics statement such as:
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Roll Up group.
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Cube – commonly referred in Data warehousing towards multi-dimensional data analytics
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Hierarchical functions.
Additionally it also has an overview about Data warehousing concepts, which provides you with basic knowledge, which can then be used to acquire Datawarehouse – ETL tools and OLAP tools knowledge.
One can learn Oracle SQL without any install through Cloud Oracle DB along with data set for easier practice.
Happy Learning!!
Course Curriculum
Chapter 1: Introduction
Lecture 1: Course Overview – Topics of coverage
Chapter 2: Whats a business application?
Lecture 1: What is business application
Lecture 2: Difference between OLTP and OLAP
Chapter 3: Relational Database and SQL
Lecture 1: What is Relational Database?
Lecture 2: Business flows, ER diagrams and RDBMS
Lecture 3: Structured Query Language – Introduction
Lecture 4: ER Diagram – Tables commonly used in this course
Chapter 4: What is an Oracle Instance?
Lecture 1: What is an Oracle Instance?
Chapter 5: Quiz 1
Chapter 6: Difference environment to practice Oracle SQL
Lecture 1: Difference environment to practice Oracle SQL
Lecture 2: Oracle Apex SQL environment and dataset for learning
Chapter 7: Oracle SQL : Select statement – Arithmetic, Concatenate, Distinct functions
Lecture 1: Select statement – Arithmetic, Concatenate, Distinct functions
Lecture 2: Select Statement – Demonstration – Arithmetic, Concatenate, Distinct function
Chapter 8: Oracle SQL: Select Statement – Filtering data – using where clause
Lecture 1: Demonstration Select Statement – Filtering data – using where clause
Lecture 2: Oracle SQL: Select Statement-Filtering date – using where clause with Operators
Chapter 9: Oracle SQL: Select statement – Functions
Lecture 1: Oracle SQL: Select statement – Functions 1
Lecture 2: Oracle SQL: Select statement – Demonstration – Functions
Lecture 3: Oracle SQL: Select statement – Functions 2 – Nested, Case,Decode
Chapter 10: Quiz 2
Chapter 11: Analytics function used in Data warehousing / Business Intelligence
Lecture 1: Analytics functions – Min, Max, Avg, Nvl, Std dev
Lecture 2: Analytics functions – Demonstration – Min, Max, Avg, Nvl, Std dev
Lecture 3: Analytics functions – Group By and having clause
Lecture 4: Analytics functions – Demonstration – Group by and having clause
Lecture 5: Analytics functions – Rollup and Cube functions
Lecture 6: Analytics function – Demonstration – Rollup and Cube functions
Lecture 7: Analytics Function – Select statement – Hierarchical
Lecture 8: Analytics Functions – Select Statement – Demonstration – Hierarchical
Chapter 12: Oracle SQL : Retrieving Data from multiple tables – JOINS
Lecture 1: Different Types of Joins – Natural and equi joins
Lecture 2: Demonstration 1 – Natural and equi joins
Lecture 3: Demonstration 2 – Natural and Equi Joins
Lecture 4: Joining table to itself towards data retrieval – Self Joins
Lecture 5: Demonstration – Self Joins
Lecture 6: Outer Joins between tables
Lecture 7: Demonstration – Outer joins between tables
Lecture 8: Oracle SQL: What is subquery
Lecture 9: Demonstration – Subquery
Lecture 10: Other DMLs
Chapter 13: Quiz 3
Chapter 14: Data Definition Language
Lecture 1: Data Definition Language
Lecture 2: Demonstration – Data definition Language
Chapter 15: DB – Schema, Synonym, Sequence, Index – Overview
Lecture 1: DB – Schema, Synonym, Sequence, Index – Overview
Chapter 16: Do's, Don't and Tuning Sql – Overview
Lecture 1: Do's, Don't and Tuning Sql – Overview
Chapter 17: What is Data Dictionary?
Lecture 1: What is Data Dictionary?
Chapter 18: Quiz 4
Chapter 19: DataWarehouse and Business Intelligence : An overview
Lecture 1: DataWarehouse and Business intelligence
Lecture 2: Dimension models
Lecture 3: DWH Schema – Star and Snowflake schema
Lecture 4: Fact and Dimension table
Chapter 20: Quiz 5
Chapter 21: Bonus Lecture: Concluding remarks & Next steps
Lecture 1: Bonus Lecture: Concluding remarks & Next steps
Instructors
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Guha Rajan M., B.Engg, MBA
Founder and CEO – Capstone Solutions, Trainer
Rating Distribution
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- 2 stars: 0 votes
- 3 stars: 2 votes
- 4 stars: 0 votes
- 5 stars: 2 votes
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