How to Install SQL Server & Import CSV Files for Beginners | Data Issues & Data Cleaning Walkthrough

Welcome to Part 1 of my SQL Data Analysis series! In this video, I walk you through setting up SQL Server Management Studio (SSMS) from scratch and importing real-world e-commerce data.

🎯 What You'll Learn:
How to download and install the latest SQL Server Management Studio
Step-by-step CSV file import process
Identifying common schema issues in real datasets
Data quality problems to address in data cleaning
Preview of upcoming data cleaning techniques

📊 Dataset: Women's Clothing E-commerce Sales
This real-world dataset contains order information with common data issues like:
Missing values (empty size fields)
Inconsistent formatting (date/time formats)
Mixed data types in SKU column (numbers and text like "bobo")
Multiple items per order
Potential duplicates and anomalies

In upcoming videos in this series, I'll show you how to clean this data using SQL queries including:
✅ Handling NULL values
✅ Standardizing text fields
✅ Converting data types
✅ Dealing with duplicates
✅ Creating proper database schemas
✅ Data validation and quality checks

🔧 Tools Used:
SQL Server Management Studio (SSMS) - Latest version
Sample CSV dataset (https://1drv.ms/x/c/2b9f5a77d560c584/...)

🔗 Download Links:
First Link: https://www.microsoft.com/en-gb/sql-s...
Second Link: https://learn.microsoft.com/en-us/ssm...


⏱️ Timestamps:
0:00 - Introduction
[00:20] - Downloading SQL Server Management Studio
[00:43] - Installation walkthrough
[01:20] - First time setup
[03:15] - Importing CSV file
[06:05] - Schema issues identified
[09:10] - Data quality problems overview
[11:45] - What's next in the series

Perfect for: Data Analysts, Business Intelligence professionals, SQL beginners, anyone learning data cleaning and preparation.

📚 This is Part 1 of my SQL Data Cleaning Series:
→ Part 1: SSMS Setup & CSV Import (this video)
→ Part 2: Handling NULL values and missing data (coming soon)
→ Part 3: Data type conversions and standardization (coming soon)
→ Part 4: Dealing with duplicates (coming soon)

Subscribe so you don't miss the rest of the series!

💬 Questions? Drop them in the comments - I read and respond to all of them.

👍 If this helped you, give it a thumbs up and share with anyone learning SQL!

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