• Post category:StudyBullet-7
  • Reading time:7 mins read


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

What you will 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

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Description

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


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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 databaseIn 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 sourceIn 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 performanceIn this section we will analyze website pageviews and use TEMPORAY TABLE, calculate bounce rate, analyzing landing page, and use SUBQUERIES
  • Analyzing Channel portfolio managementIn this section we will compare channels and do multi channel bidding , also analyzing bid changes impact, traffic breakdown.
  • Analyzing Business Patterns and SeasonalityIn this section we will dig deeper into traffic analysis and explore more about organic and paid campaign, also seasonality and business patterns analysis
  • Product AnalysisIn this section we will break down sales on product level, conversion rates and cross-selling patterns and refund rates analysis to keep quality
  • User AnalysisIn 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
English
language

Content

Introduction

Introduction
1.2 Connecting database to the server
1.3 Creating the Database and intro to MySQL workbench
1.4 Course Outlines and intro to database

Analyzing Traffic Source

Warming Up
2.2 Analyzing Traffic Source
2.3 Finding Top Traffic
2.4 Traffic Source Breakdown
2.5 Bid Analysis and Optimization- Part 1
2.6 Bid Analysis and Optimization- Part 2
2.7 Trend Analysis

Analyzing Website Performance

3.1 Introduction and outlines
3.2 Analyzing website pageviews- Temporary Table
3.3 Calculating Bounce Rate
3.4 Landing Page Analysis
3.5 Landing Page Trend Analysis
3.6 Building and Analyzing Conversion Funnel- Subquery

Analyzing Portfolio & Management

4.1 Introduction
4.2 Analyzing channel portfolio 1
4.3 Analyzing Channel Portfolio
4.4 Comparing Channels
4.5 Multi Channel Bidding
4.6 Bid Changes Impact
4.7 Analyzing Direct – Brand Traffic
4.8 Traffic Breakdown

Analyzing Seasonality and Business Patterns

5.1 Seasonality and Business Patterns
5.2 Analyzing Seasonality

Product Analysis

6.1 Introduction
6.2 Analyzing Product sales
6.3 Analyzing new product
6.4 Analyzing website – Product level
6.5 Analyzing website pathing
6.6 Analyzing product conversion funnel
6.7 Analyzing Cross-selling products
6.8 Analyzing product expansion
6.9 Analyzing product refund

User Analysis

7.1 User Analysis Introduction
7.2 Analyzing Repeat Behavior
7.3 Identify Repeat Visitors
7.4 Analyzing repeat behavior
7.5 Analyzing repeat channels
7.6 Conversion rates