Data Analytics Training | Data Analysis Online Training Course

1
MySQL Data Analysis
www.visualpath.in
2
Data analytics with MySQL involves using the
MySQL database management system to store,
manage, and analyze data. MySQL is a popular
open-source relational database that is widely
used for various applications, including data
analytics.
1. Data Modeling - Design your database schema
to represent the data you want to analyze. -
Define tables, relationships, and data types.
2. Data Import - Load your data into MySQL using
tools like LOAD DATA INFILE, INSERT
statements, or other data import techniques.
www.visualpath.in
3
3. Data Exploration - Use SQL queries to explore
and understand your data. - Retrieve sample
records, examine unique values, and identify
patterns. 4. Data Cleaning - Cleanse the data by
handling missing values, correcting errors, and
standardizing formats. - Use SQL queries to
update or delete records as needed. 5. Data
Transformation - Transform the data if
necessary, for example, aggregating values,
creating new columns, or performing calculations.
- Utilize SQL functions for transformations.
www.visualpath.in
4
6. Descriptive Statistics - Use SQL to calculate
descriptive statistics such as mean, median,
mode, standard deviation, etc. - This helps in
understanding the distribution of data. 7. Data
Aggregation - Aggregate data using GROUP BY
clauses to summarize information. - You can
calculate sums, averages, counts, and other
aggregated values. 8. Join Operations - Combine
data from multiple tables using JOIN
operations. - This is crucial when your data is
distributed across different tables and you need
to consolidate information.
www.visualpath.in
5
9. Subqueries - Use subqueries to break down
complex queries into smaller, more manageable
parts. - Subqueries can be used within SELECT,
FROM, WHERE, and other clauses. 10. Indexing -
Properly index your tables to improve query
performance, especially when dealing with large
datasets. - Indexing can significantly speed up
data retrieval. 11. Views - Create views to
store complex queries that you use frequently. -
This can simplify your analytics workflow and
improve code maintainability.
www.visualpath.in
6
12. Stored Procedures - Write stored procedures
to encapsulate sequences of SQL statements. -
This promotes code reusability and makes it
easier to manage complex tasks. 13. Data
Visualization - Connect MySQL to data
visualization tools like Tableau, Power BI, or
others to create interactive dashboards and
reports. 14. Performance Optimization - Optimize
your queries for better performance. - Use
EXPLAIN to analyze query execution plans and
identify areas for improvement.
www.visualpath.in
7
15. Security - Implement proper security
measures, such as user authentication and
authorization - to ensure that sensitive data is
protected. - Remember that the effectiveness of
data analytics with MySQL depends on the
complexity and volume of your data - as well as
the specific analytical tasks you want to perform.
www.visualpath.in
8
CONTACT
For More Information About
Data Analytics Online Training
Address- Flat no 205, 2nd Floor,
Nilagiri Block, Aditya Enclave,
Ameerpet, Hyderabad-16
Ph No 91-9989971070 Visit
www.visualpath.in E-Mail
online_at_visualpath.in
9
THANK YOU