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SQL for Data Analysis Students & Professionals - OneDDL - 08-21-2024
![[Image: 1cec9ea0e4527e9a75fb413f34d5927a.jpeg]](https://i123.fastpic.org/big/2024/0821/7a/1cec9ea0e4527e9a75fb413f34d5927a.jpeg)
Free Download SQL for Data Analysis Students & Professionals
Published 8/2024
Created by Taesun Yoo
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 88 Lectures ( 11h 1m ) | Size: 5 GB
The Ultimate Guide to Master SQL for Data Analysis by Solving Real-World Business Problems
What you'll learn:
Installing MySQL Server and Workbench for a seamless database environment setup.
Create and manage databases, including creating and dropping databases, managing tables, and verifying data integrity.
Utilize SQL for loading and writing data frames, extracting data, and crafting complex scripts to address business questions
Understand various SQL business use cases and apply best practices to tackle real company data problems
Master SQL joins, including INNER, LEFT, RIGHT, FULL OUTER, and CROSS joins, to combine data from multiple tables.
Implement set operations like UNION, INTERSECT, and EXCEPT to combine results from different queries.
Perform advanced data manipulation with SQL functions and aggregations, such as SUM, AVG, COUNT, GROUP BY, and HAVING.
Develop complex subqueries and utilize Common Table Expressions (CTEs) for improved query readability and performance.
Modify data with SQL commands for inserting, updating, and deleting records.
Handle errors in transactions, implement error handling and ensure data integrity.
Requirements:
Operating Systems: 64-bit versions of Microsoft Windows 7, 8.1 and 10 or Mac
MySQL Server and Workbench.
Some fundamental knowledge of data structure concepts will be beneficial.
No prior experience in other tools like R or Python.
Description:
Are you interested in becoming a Data Analyst? Do you want to gain practical skills and solve real-world business problems using SQL? Then this is the perfect course for you! Created by a Senior Data Analyst with extensive experience in the Insurance and Health Care sectors, this course will equip you with foundational knowledge and help you master key SQL functions and techniques for data analysis.I will guide you step-by-step into the world of SQL for data analysis. With every lecture and lab exercise, you will develop a comprehensive understanding of these concepts to tackle real data problems! This course is designed to be engaging and practical, with a logical flow through essential modules:Module 1: Creating and Managing DatabasesLearn how to create and drop databases, manage tables, load data into tables, and verify data integrity.Module 2: SELECT StatementsMaster basic SELECT queries, filter data with WHERE clauses, sort results with ORDER BY, and handle NULL values.Module 3: Joins - INNER, LEFT/RIGHT, CROSS, etc.Understand and apply different types of joins: INNER, LEFT, RIGHT and CROSS joins to combine data from multiple tables.Module 4: Set OperatorsUtilize set operators like UNION, UNION ALL, INTERSECT, and EXCEPT to combine results from multiple queries.Module 5: Functions and AggregationsLearn and apply aggregate functions SUM, AVG, COUNT, and perform grouping of data with GROUP BY and HAVING clauses.Module 6: SubqueriesWrite subqueries in SELECT, WHERE, and FROM clauses and use them for complex filtering.Module 7: Common Table Expressions (CTEs)Discover the power of CTEs, use them for recursion, and combine them with joins and subqueries.Module 8: Grouping Sets and Pivot TablesImplement grouping sets, create and use pivot tables, and apply advanced aggregation techniques.Module 9: Modifying DataPerform data modifications with SQL commands for inserting, updating, and deleting recordsModule 10: Programming T-SQLWrite variables/parameters and stored procedures;Module 11: Error HandlingManage errors in SQL, debug and optimize queries, handle exceptions, and ensure data integrity.Module 12: Capstone Projectso Project 1: Airbnb Data Insights: Analyze listing availability, neighborhood popularity, and pricing variations.o Project 2: E-Commerce Sales Analysis: Analyze sales data by province, compare monthly sales, and identify top products.Each module contains independent content, allowing you to start from the beginning or jump into specific topics of interest. However, it is recommended to follow the course from Module 1 to Module 9 to fully prepare for the capstone project challenge.This course is packed with real-world business problems solved during my career as a senior data analyst. You will not only learn theoretical concepts but also gain practical, hands-on experience. Enroll today and take the first step towards mastering data analysis using SQL.
Who this course is for:
Individuals with no prior experience in data analysis tools.
New graduates considering a data analytics career.
Career switchers aiming to become data analysts or upgrade their skills in SQL and database management.
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