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Tutorials [udemy] Data analysis & Business Intelligence | Advanced MySQL

Ronaldo99

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[udemy] Data analysis & Business Intelligence | Advanced MySQL
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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre:
eLearning | Language: English + .srt | Duration: 42 lectures (7h 3m) | Size: 3.23 GB


Learn Advanced MySQL skills in real-world project as a Senior data analyst

What you'll learn
Write Advanced SQL queries and analyze database
Learn TEMPORARY TABLES and SUBQUERIES to handle complex multistep data problem
Analyze data for eCommerce real-world case where you can solve tasks
Mastering JOIN statements across multiple tables
Get life time access to resources and videos


Requirements
Students are expected to have prior knowledge in SQL and solid grasp of SELECT statements, aggregate functions and join tables
If you do not have any experience or knowledge in SQL, I highly recommend to have the Data Analysis for Beginners with SQL or gain some knowledge in MySQL before participating in this course


NOTE: This is an ADVANCED SQL course, built on topics and skills covered in the previous course or on prior knowledge in SQL queries....Please have the minimum prerequisite skills or complete the Beginner SQL course to be able to complete the course

In this course you will develop real-world analytics and Business Intelligence skills using Advanced SQL

GUARANTEED, instead of learning some advanced codes, in this course you will learn how to apply the advanced skills, analyzing the data and doing Business analysis too

We will walk through real project database of eCommerce store for toys from scratch

You will be playing a role as Data Analyst working directly with executives CEO and Directors to help grow the business, analyzing performance and optimize the store, website, products, and user experience

You will use advanced skills such TEMPORARY TABLE, Subqueries to solve multistep data problem which make you THINK like an ANALYST

COURSE OUTLINES

Introduction from downloading SQL server to connect the database

In this section we will take about how to install MySQL workbench and connect the database to the server plus creating a connection, after watching this part make sure you have the relevant skills including SELECT statements, Aggregate Functions and tables joins.

Analyzing Traffic source

In this section we will warm up and do some review for some queries, then we will analyze where our traffic source coming from, how different sources perform in terms of traffic volume, calculate conversion rates, analyzing bids and optimize it, trend analysis

Analyzing website performance

In this section we will analyze website pageviews and use TEMPORAY TABLE, calculate bounce rate, analyzing landing page, and use SUBQUERIES

Analyzing Channel portfolio management

In this section we will compare channels and do multi channel bidding , also analyzing bid changes impact, traffic breakdown.

Analyzing Business Patterns and Seasonality

In this section we will dig deeper into traffic analysis and explore more about organic and paid campaign, also seasonality and business patterns analysis

Product Analysis

In this section we will break down sales on product level, conversion rates and cross-selling patterns and refund rates analysis to keep quality

User Analysis

In this section we deep analyze user behavior and analyze the repeated sessions to identify most valuable customers and explore which channels they are coming from

Who this course is for
SQL users looking to develop advanced skills and master data analysis with Advanced SQL queries
Anyone looking to pursue a career in data analysis or business intelligence
Data analysts excel users looking to shift into business intelligence and optimize data analysis skills
Data Analyst or Business Analyst with SQL, BI professionals looking to analyze data in a real-world case database
























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illusions

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Thank you @Ronaldo99 for sharing.
 

onie

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Can not download? Plz update the link :*
 

dadswrld

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Can not download? Plz update the link :*
Links are still active @onie . Thank you @Ronaldo99. I quite like Up4ever :giggle:
 
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