Deeksha

Data Analyst & Scientist with 4 years of experience. Sharing LeetCode solutions, data insights, and the latest in tech. #freelancer #dataconsultant

[Deeksha @deekshas24]

#DataAnalytics

[Deeksha @deekshas24]

DATA CLEANING IN SQL:
Part 8:

#SQL #DataDriven #datacleaning #DataAnalytics

[Deeksha @deekshas24]

DATA CLEANING IN SQL:
Part 7:

#SQL #DataDriven #datacleaning #DataAnalytics

[Deeksha @deekshas24]

DATA CLEANING IN SQL:
Part 6:

#SQL #DataDriven #datacleaning #DataAnalytics

[Deeksha @deekshas24]

DATA CLEANING IN SQL:
Part 5:

#SQL #DataDriven #datacleaning #DataAnalytics

[Deeksha @deekshas24]

DATA CLEANING IN SQL:
Part 4:

#SQL #DataDriven #datacleaning #DataAnalytics

[Deeksha @deekshas24]

DATA CLEANING IN SQL:
Part 3:

#SQL #DataDriven #datacleaning #DataAnalytics

[Deeksha @deekshas24]

DATA CLEANING IN SQL:
Part 2:

#SQL #DataDriven #datacleaning #DataAnalytics

[Deeksha @deekshas24]

DATA CLEANING IN SQL:
Part 1:

#SQL #DataDriven #datacleaning #DataAnalytics

[Deeksha @deekshas24]

#sql

[Deeksha @deekshas24]

Common Interview Questions:

#DataAnalytics #sql

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Interview list for Data Analytics Roles:

#DataAnalytics #statistics

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Interview list for Data Analytics Roles:

#DataAnalytics #Python

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Interview list for Data Analytics Roles:

#DataAnalytics #datawarehouse

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Interview list for Data Analytics Roles:

#DataAnalytics #powerbi

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Interview list for Data Analytics Roles:

#DataAnalytics #excel

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Interview list for Data Analytics Roles:

#DataAnalytics #sql

[Deeksha @deekshas24]

Optimize your sql:

Here are some key points for SQL optimization:

Use Indexing: Properly indexing your database tables can significantly speed up query performance by allowing the database to quickly locate the rows needed for a query.

Optimize Joins: Minimize the number of joins and use appropriate join types (e.g., INNER JOIN, LEFT JOIN) to ensure efficient data retrieval.

Avoid SELECT * : Instead of selecting all columns using SELECT *, explicitly specify only the columns needed for the query to reduce unnecessary data transfer and processing overhead.

Use WHERE Clause Wisely: Filter rows early in the query using WHERE clause to reduce the dataset size before joining or aggregating data.

Avoid Subqueries: Whenever possible, rewrite subqueries as JOINs or use Common Table Expressions (CTEs) for better performance.

Limit the Use of DISTINCT: Minimize the use of DISTINCT as it requires sorting and duplicate removal, which can be resource-intensive for large datasets.

Optimize GROUP BY and ORDER BY: Use GROUP BY and ORDER BY clauses judiciously, and ensure that they are using indexed columns whenever possible to avoid unnecessary sorting.

Consider Partitioning: Partition large tables to distribute data across multiple nodes, which can improve query performance by reducing I/O operations.

#DataDriven #DataAnalytics #sql

[Deeksha @deekshas24]

Unlock the Power of Data with SQL 🌟

Here’s why learning SQL is so important:

https://t.co/aGCpKTquiH Management: SQL helps you manage databases by making it easy to retrieve, update, and change data.

https://t.co/BzwgW8osu5 Analysis: It lets you ask complex questions to find useful information from data, helping companies make better decisions.

3.Versatility: SQL is used in many industries, like finance, healthcare, and tech, to handle large amounts of data.

4.Integration: SQL works well with other programming languages and tools, making it useful in many data-related tasks.

https://t.co/j6aSIdW0bI Growth: Knowing SQL can help you get jobs like Data Analyst, Database Administrator, or Business Intelligence Developer.

6.Problem Solving: SQL gives you the tools to solve real-world data problems by letting you query and analyze data efficiently.

7.Scalability: SQL is designed to handle large amounts of data, making it essential for growing businesses.

#data #DataDriven #DataAnalytics