Business Intelligence & Data analysis | Advanced MySQL
Business Intelligence & Data analysis | Advanced MySQL, available at $149.99, has an average rating of 4.15, with 42 lectures, based on 13 reviews, and has 4004 subscribers.
You will learn about 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 This course is ideal for individuals who are SQL users looking to develop advanced skills and master data analysis with Advanced SQL queries or Anyone looking to pursue a career in data analysis or business intelligence or Data analysts excel users looking to shift into business intelligence and optimize data analysis skills or Data Analyst or Business Analyst with SQL, BI professionals looking to analyze data in a real-world case database It is particularly useful for SQL users looking to develop advanced skills and master data analysis with Advanced SQL queries or Anyone looking to pursue a career in data analysis or business intelligence or Data analysts excel users looking to shift into business intelligence and optimize data analysis skills or Data Analyst or Business Analyst with SQL, BI professionals looking to analyze data in a real-world case database.
Enroll now: Business Intelligence & Data analysis | Advanced MySQL
Summary
Title: Business Intelligence & Data analysis | Advanced MySQL
Price: $149.99
Average Rating: 4.15
Number of Lectures: 42
Number of Published Lectures: 42
Number of Curriculum Items: 42
Number of Published Curriculum Objects: 42
Original Price: $149.99
Quality Status: approved
Status: Live
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
- Get life time access to resources and videos
Who Should Attend
- 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
Target Audiences
- 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
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 by Analyzing an ecommerce store to get insight for the performance of the website, products and user experience
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
What you will learn:
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Write Advanced SQL queries and analyze database.
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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
You will use advanced skills such TEMPORARY TABLE, Subqueries to solve multistep data problem which make you THINK like an ANALYST
COURSE OUTLINES:
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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.
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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
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Analyzing website performance
In this section we will analyze website pageviews and use TEMPORAY TABLE, calculate bounce rate, analyzing landing page, and use SUBQUERIES
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Analyzing Channel portfolio management
In this section we will compare channels and do multi channel bidding , also analyzing bid changes impact, traffic breakdown.
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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
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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
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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
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: 1.2 Connecting database to the server
Lecture 3: 1.3 Creating the Database and intro to MySQL workbench
Lecture 4: 1.4 Course Outlines and intro to database
Chapter 2: Analyzing Traffic Source
Lecture 1: Warming Up
Lecture 2: 2.2 Analyzing Traffic Source
Lecture 3: 2.3 Finding Top Traffic
Lecture 4: 2.4 Traffic Source Breakdown
Lecture 5: 2.5 Bid Analysis and Optimization- Part 1
Lecture 6: 2.6 Bid Analysis and Optimization- Part 2
Lecture 7: 2.7 Trend Analysis
Chapter 3: Analyzing Website Performance
Lecture 1: 3.1 Introduction and outlines
Lecture 2: 3.2 Analyzing website pageviews- Temporary Table
Lecture 3: 3.3 Calculating Bounce Rate
Lecture 4: 3.4 Landing Page Analysis
Lecture 5: 3.5 Landing Page Trend Analysis
Lecture 6: 3.6 Building and Analyzing Conversion Funnel- Subquery
Chapter 4: Analyzing Portfolio & Management
Lecture 1: 4.1 Introduction
Lecture 2: 4.2 Analyzing channel portfolio 1
Lecture 3: 4.3 Analyzing Channel Portfolio
Lecture 4: 4.4 Comparing Channels
Lecture 5: 4.5 Multi Channel Bidding
Lecture 6: 4.6 Bid Changes Impact
Lecture 7: 4.7 Analyzing Direct – Brand Traffic
Lecture 8: 4.8 Traffic Breakdown
Chapter 5: Analyzing Seasonality and Business Patterns
Lecture 1: 5.1 Seasonality and Business Patterns
Lecture 2: 5.2 Analyzing Seasonality
Chapter 6: Product Analysis
Lecture 1: 6.1 Introduction
Lecture 2: 6.2 Analyzing Product sales
Lecture 3: 6.3 Analyzing new product
Lecture 4: 6.4 Analyzing website – Product level
Lecture 5: 6.5 Analyzing website pathing
Lecture 6: 6.6 Analyzing product conversion funnel
Lecture 7: 6.7 Analyzing Cross-selling products
Lecture 8: 6.8 Analyzing product expansion
Lecture 9: 6.9 Analyzing product refund
Chapter 7: User Analysis
Lecture 1: 7.1 User Analysis Introduction
Lecture 2: 7.2 Analyzing Repeat Behavior
Lecture 3: 7.3 Identify Repeat Visitors
Lecture 4: 7.4 Analyzing repeat behavior
Lecture 5: 7.5 Analyzing repeat channels
Lecture 6: 7.6 Conversion rates
Instructors
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Mohannad Alhariri
CPA, CMA, MBA | Audit manager
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 1 votes
- 3 stars: 3 votes
- 4 stars: 2 votes
- 5 stars: 7 votes
Frequently Asked Questions
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