Ensure your Excel file is well-organized, with clear column headers that match the intended table columns in your MySQL database. Save your Excel file in CSV (Comma Separated Values) format since CSV is a simple text format that can be easily manipulated and imported into MySQL.

If you haven't already, download and install MySQL on your system. Use the MySQL command-line tool or MySQL Workbench to create a new database for your data. You can create a database by executing the following command in the MySQL shell: `CREATE DATABASE your_database_name;`.

Define the schema for the table in MySQL that matches the structure of your Excel data. Use the `CREATE TABLE` statement to define your table, including column names and data types. For example:
```sql
USE your_database_name;
CREATE TABLE your_table_name (
column1_name datatype,
column2_name datatype,
...
);
```

Open your Excel file and save it as a CSV file. Most spreadsheet software, including Microsoft Excel and Google Sheets, offers an option to "Save As" or "Export" to CSV format. This will separate your data values with commas, making it ready for import into MySQL.

Use the `LOAD DATA INFILE` command to import your CSV file into the MySQL table. Ensure the CSV file is accessible to the MySQL server and adjust file path and options as necessary:
```sql
LOAD DATA INFILE '/path/to/yourfile.csv'
INTO TABLE your_table_name
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\n'
IGNORE 1 ROWS;
```
This command assumes your CSV values are enclosed in quotes and rows are terminated with new lines. Adjust the path and options based on your CSV file's specific format.

After loading the data, verify that the data has been correctly imported. Run select queries on the MySQL table to check for consistency and correctness. For example:
```sql
SELECT * FROM your_table_name LIMIT 10;
```
This query will display the first 10 rows of your table, allowing you to verify the data.

If you encounter errors during the data loading process, check the MySQL error log or the error message returned by the command. Common issues can include incorrect file paths, delimiter mismatches, or improper data types. Once the data is successfully imported, remember to delete or archive the CSV file if it contains sensitive information to maintain data security.
By following these steps, you can effectively move data from an Excel file to a MySQL database without relying on third-party tools.