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Complete SQL Bootcamp for Data Science, Analytics, Marketing

Master SQL for Job Interview Preparation, Data Analysis, Big Data, and Business Intelligence
4.5
4.5/5
(1,463 reviews)
7,364 students
Created by

9.1

CourseMarks Score®

9.7

Freshness

9.4

Feedback

7.7

Content

Platform: Udemy
Video: 1h 38m
Language: English
Next start: On Demand

Top SQL courses:

Detailed Analysis

CourseMarks Score®

9.1 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

9.7 / 10
This course was last updated on 10/2021 .

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

9.4 / 10
We analyzed factors such as the rating (4.5/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

7.7 / 10
Video Score: 7.8 / 10
The course includes 1h 38m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 4 hours 29 minutes of 253 SQL courses on Udemy.
Detail Score: 9.8 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 5.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
0 resource.
0 exercise.
0 test.

Table of contents

Description

It is becoming ever more important that companies make data-driven decisions.
With big data and data science on the rise, we have more data than we know what to do with.
One of the basic languages of data analytics is SQL, which is used for many popular databases including MySQL, Postgres, SQLite, Microsoft SQL Server, Oracle, and even big data solutions like Hive and Cassandra.
I’m going to let you in on a little secret. Most high-level marketers and product managers at big tech companies know how to manipulate data to gain important insights. No longer do you have to wait around the entire day for some software engineer to answer your questions – now you can find the answers directly, by yourself, using SQL!
In this course, The Complete SQL Bootcamp for Data Science, Analytics, and Marketing, we’ll start from the basics – installing SQL onto your Mac, Linux, or Windows machine and explaining what a relational database is. Next, we’ll look at basic tasks like creating tables and loading data into those tables. We will look at a wide variety of SQL commands and I will show you how to speed things up using indexes.
Once you know all the SQL commands we will start doing advanced examples – answering questions marketers and business people often have, like where are customers dropping off in our sales funnel? And which of our locations has the highest revenue?
In the last section, we’ll do Advanced SQL queries on Spark, the big data framework that is the successor to MapReduce and also runs on top of Hadoop. I will teach you how to install Spark, create a cluster very quickly on Amazon EC2, and run SQL queries, allowing you to apply everything you learned up until this point in a big data environment.
Do you want to know how to optimize your sales funnel using SQL, look at the seasonal trends in your industry, and run a SQL query on Hadoop? Then join me now in my new class on SQL! Dominate data analytics, data science, and big data!

TIPS (for getting through the course):
•Watch it at 2x to learn twice as fast!
•Take handwritten notes. This will drastically increase your ability to retain the information.
•Ask lots of questions on the discussion board. The more the better!
•Write code yourself, don’t just sit there and look at my code.

You will learn

✓ Understand what a relational database is
✓ How to install SQL on Mac, Linux, or Windows
✓ How to create a table
✓ How to import data into a table
✓ How to query a database table using SQL
✓ How to insert into, update, and delete from a table
✓ Speed things up using indexes
✓ Join tables together to merge data
✓ Aggregate data using count, sum, and average
✓ Determine where in the sales funnel customers are being lost
✓ Chart your year over year revenue
✓ Group and sort sales by location
✓ Use SQL on Spark
✓ Install Spark
✓ Create a Spark cluster on AWS EC2

Requirements

• You should you how to open a terminal / command line shell. All the examples will be done here.

This course is for

• This course is for not only marketers but anyone who wants to be able to answer data-related questions on their own
• Students who want a different approach to learning SQL
• Professionals who are exposed to data but can’t yet leverage its power
• Developers who build web-applications but don’t yet know how to use a database backend
• Product managers who want to make data-driven decisions

How much does the Complete SQL Bootcamp for Data Science, Analytics, Marketing course cost? Is it worth it?

The course costs $14.99. And currently there is a 75% discount on the original price of the course, which was $59.99. So you save $45 if you enroll the course now.
The average price is $17.8 of 253 SQL courses on Udemy.

Does the Complete SQL Bootcamp for Data Science, Analytics, Marketing course have a money back guarantee or refund policy?

YES, Complete SQL Bootcamp for Data Science, Analytics, Marketing has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Complete SQL Bootcamp for Data Science, Analytics, Marketing course, but there is a $45 discount from the original price ($59.99). So the current price is just $14.99.

Who is the instructor? Is Lazy Programmer Inc. a SCAM or a TRUSTED instructor?

Lazy Programmer Inc. has created 29 courses that got 119,482 reviews which are generally positive. Lazy Programmer Inc. has taught 468,493 students and received a 4.6 average review out of 119,482 reviews. Depending on the information available, Lazy Programmer Inc. is a TRUSTED instructor.
Artificial intelligence and machine learning engineer
Today, I spend most of my time as an artificial intelligence and machine learning engineer with a focus on deep learning, although I have also been known as a data scientist, big data engineer, and full stack software engineer.

I received my masters degree in computer engineering with a specialization in machine learning and pattern recognition.

Experience includes online advertising and digital media as both a data scientist (optimizing click and conversion rates) and big data engineer (building data processing pipelines). Some big data technologies I frequently use are Hadoop, Pig, Hive, MapReduce, and Spark.

I’ve created deep learning models to predict click-through rate and user behavior, as well as for image and signal processing and modeling text.

My work in recommendation systems has applied Reinforcement Learning and Collaborative Filtering, and we validated the results using A/B testing.

I have taught undergraduate and graduate students in data science, statistics, machine learning, algorithms, calculus, computer graphics, and physics for students attending universities such as Columbia University, NYU, Hunter College, and The New School. 

Multiple businesses have benefitted from my web programming expertise. I do all the backend (server), frontend (HTML/JS/CSS), and operations/deployment work. Some of the technologies I’ve used are: Python, Ruby/Rails, PHP, Bootstrap, jQuery (Javascript), Backbone, and Angular. For storage/databases I’ve used MySQL, Postgres, Redis, MongoDB, and more.

9.1

CourseMarks Score®

9.7

Freshness

9.4

Feedback

7.7

Content

Platform: Udemy
Video: 1h 38m
Language: English
Next start: On Demand

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