From 0 To 1:SQL And Databases – Heavy Lifting
From 0 To 1:SQL And Databases – Heavy Lifting, available at $44.99, has an average rating of 4.6, with 68 lectures, based on 189 reviews, and has 4647 subscribers.
You will learn about Explore large datasets and uncover insights – going far beyond the Excel, deep into the data Model and create a database for day-to-day use Interface with databases from a programming language such as Python Have the comfort and confidence needed to load data and use both GUI and a command line interface for database operations Fully understand and leverage joins, subqueries, aggregates, indices, triggers, stored procedures and other major database concepts This course is ideal for individuals who are Yep! Data analysts who would like to really get down and dirty with the data or Yep! Business folks and executives looking to make their decision making more data-driven, and seeking the technical knowledge to do so. or Yep! Students of Computer Science and Computer Engineering looking to understand database concepts for the first time or Yep! Software engineers who need to understand and interface with databases from programming languages in their work It is particularly useful for Yep! Data analysts who would like to really get down and dirty with the data or Yep! Business folks and executives looking to make their decision making more data-driven, and seeking the technical knowledge to do so. or Yep! Students of Computer Science and Computer Engineering looking to understand database concepts for the first time or Yep! Software engineers who need to understand and interface with databases from programming languages in their work.
Enroll now: From 0 To 1:SQL And Databases – Heavy Lifting
Summary
Title: From 0 To 1:SQL And Databases – Heavy Lifting
Price: $44.99
Average Rating: 4.6
Number of Lectures: 68
Number of Published Lectures: 68
Number of Curriculum Items: 68
Number of Published Curriculum Objects: 68
Original Price: $89.99
Quality Status: approved
Status: Live
What You Will Learn
- Explore large datasets and uncover insights – going far beyond the Excel, deep into the data
- Model and create a database for day-to-day use
- Interface with databases from a programming language such as Python
- Have the comfort and confidence needed to load data and use both GUI and a command line interface for database operations
- Fully understand and leverage joins, subqueries, aggregates, indices, triggers, stored procedures and other major database concepts
Who Should Attend
- Yep! Data analysts who would like to really get down and dirty with the data
- Yep! Business folks and executives looking to make their decision making more data-driven, and seeking the technical knowledge to do so.
- Yep! Students of Computer Science and Computer Engineering looking to understand database concepts for the first time
- Yep! Software engineers who need to understand and interface with databases from programming languages in their work
Target Audiences
- Yep! Data analysts who would like to really get down and dirty with the data
- Yep! Business folks and executives looking to make their decision making more data-driven, and seeking the technical knowledge to do so.
- Yep! Students of Computer Science and Computer Engineering looking to understand database concepts for the first time
- Yep! Software engineers who need to understand and interface with databases from programming languages in their work
Prerequisites: No prerequisites are needed for the SQL commands and DBMS fundamentals. Basic knowledge of programming in Python would be helpful if you want to run the source code in the course-ending project.
Taught by Stanford-educated, ex-Googlers. This team has decades of practical experience in quant trading, analytics and e-commerce.
Your bodyguard for when data gets too big, this course is strong but friendly, funny yet deep, animated yet thoughtful.
Let’s parse that.
Your bodyguard for when data gets too big: Most business folks (and quite a few engineers) use Excel as a basic tool of decision making and modeling, but when you can’t fit the data you’d like into an Excel spreadsheet that you can easily open, its time to move to a database.
The course is strong but friendly: This course will help you move to a database without being intimidated by the new environment. Don’t let anyone tell you that any dataset is too large or too complicated for you to understand (and people will try, most likely)
The course is funny yet deep: It goes really deep into the topics that folks often find hard to understand, such as joins, aggregate operators and interfacing with databases from a programming language. But it never takes itself too seriously:-)
The course is very visual : most of the techniques are explained with the help of animations to help you understand better.
This course is practical as well : Queries are explained in excruciating detail, indices are demystified, and potentially career-limiting traps (Drop, Alter) are marked with bright yellow tape markers so you can steer clear.
The course is also quirky. The examples are irreverent. Lots of little touches: repetition, zooming out so we remember the big picture, active learning with plenty of quizzes. There’s also a peppy soundtrack, and art – all shown by studies to improve cognition and recall.
What’s Covered:
SQL In Great Depth
Database Fundamentals and Just Enough Theory
Practical Examples – Queries in MySQL and SQLite, and code in Python
Course Curriculum
Chapter 1: Introduction To Databases
Lecture 1: Data Is A Big Deal
Lecture 2: Why Do We Need A Database?
Lecture 3: MySQL – Installed and Introduced (Mac OS X)
Lecture 4: Setting up MySQL and the Workbench (Mac OS X)
Lecture 5: MySQL Server and Workbench installed (Windows)
Lecture 6: Entities And Attributes – Things And Stuff Which Describe Them
Lecture 7: Identifying Entities Using Keys
Lecture 8: The Entity Relationship (E-R) Model – Entities And Attributes
Lecture 9: Relationships – What Connects Entities
Lecture 10: Cardinality Of Relationships
Lecture 11: The Entity Relationship (E-R) Model – Relationships
Lecture 12: Mapping E-R Theory to the world of databases
Chapter 2: Going From Relations To Database Tables
Lecture 1: Introducing The SELECT Statement
Lecture 2: Introducing The SELECT Statement
Lecture 3: Quotes and NULLS – Avoid The Gotchas
Lecture 4: Simple Examples
Lecture 5: More Simple Examples
Lecture 6: Using the Like Operator
Lecture 7: Between, In and Not In
Lecture 8: A Multi-Column Select
Lecture 9: Working with Dates (MySQL As Example)
Chapter 3: Creating Tables And Inserting Data Into Them
Lecture 1: Creating Database, Use Database and Create Table
Lecture 2: Column Subtleties: Null, Primary Key and Auto-Increment
Lecture 3: An Example – Sales Data
Lecture 4: Insert Table – Examples
Lecture 5: More Insert Table Examples
Lecture 6: Referential Integrity Introduced
Lecture 7: Creating a Database and Using It
Lecture 8: An Involved Bulk Loading Example
Chapter 4: Back To Retrieving Data – More Advanced Queries Using Group By
Lecture 1: Aggregation Operators Introduced
Lecture 2: The Group By Clause
Lecture 3: More Group By Examples
Lecture 4: Order By
Lecture 5: Having
Lecture 6: Limit
Lecture 7: Count and Count Distinct
Chapter 5: Joins – Don't Let Them Intimidate You! They're All Fuzzy And Nice
Lecture 1: Introduction To SQL Joins
Lecture 2: Cross Joins aka Cartesian Joins
Lecture 3: Inner Joins
Lecture 4: Left Outer Joins
Lecture 5: Right, Full Outer Joins, Natural Joins, Self Joins
Chapter 6: Subqueries: Layering The Cake
Lecture 1: Subqueries Introduced
Lecture 2: Union, Union All, Intersect and Except.
Lecture 3: Query-In-A-Query
Lecture 4: Inserting Via Subqueries
Lecture 5: Use A Subquery To Populate A Table
Lecture 6: Outer Join And Inner Join: A Little Test
Chapter 7: Constraints
Lecture 1: Not NULL constraints
Lecture 2: Primary Keys
Lecture 3: Foreign Key Constraints
Lecture 4: Deletes and Updates With Foreign Key Constraints
Lecture 5: Check Constraints
Chapter 8: Somewhat More Advanced Concepts
Lecture 1: Indices
Lecture 2: Stored Procedures
Lecture 3: Triggers
Lecture 4: Transactions
Lecture 5: Handle with Care: Update and Delete
Lecture 6: Handle with Care: Alter and Drop
Lecture 7: Views, Temporary Tables, and User Priviliges
Chapter 9: Table Design: Theory And Practice
Lecture 1: Practical Tips for Table Designs that you won't regret!
Lecture 2: More Practical Design Tips
Lecture 3: Normal Forms – Friends Once You Know Them
Chapter 10: Putting It Together: Database Programming In Python
Lecture 1: Interfacing with Databases from Python
Lecture 2: SQLite works right out of the box
Lecture 3: Build a database of Stock Movements – I
Lecture 4: Build a database of Stock Movements – II
Lecture 5: Build a database of Stock Movements – III
Chapter 11: Appendix
Lecture 1: [For Linux/Mac OS Shell Newbies] Path and other Environment Variables
Instructors
-
Loony Corn
An ex-Google, Stanford and Flipkart team
Rating Distribution
- 1 stars: 3 votes
- 2 stars: 3 votes
- 3 stars: 22 votes
- 4 stars: 69 votes
- 5 stars: 92 votes
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