Gururo is hiring!
Position: Applied Data Scientist
Qualifications: Bachelorโs/ Masterโs/ MBA
Salary: 6- 9 LPA (Expected)
Experience: Fresher
Location: Remote
๐Apply Now: https://www.linkedin.com/feed/update/urn:li:share:7195971520194650115/
โ @data_engineerai
Position: Applied Data Scientist
Qualifications: Bachelorโs/ Masterโs/ MBA
Salary: 6- 9 LPA (Expected)
Experience: Fresher
Location: Remote
๐Apply Now: https://www.linkedin.com/feed/update/urn:li:share:7195971520194650115/
โ @data_engineerai
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Data Science & Analytics on LinkedIn: Data Scientist job in bangalore - Gururo
Gururo is hiring!
Position: Applied Data Scientist
Qualifications: Bachelorโs/ Masterโs/ MBA
Salary: 6- 9 LPA (Expected)
Experience: Fresher
Location: Remoteโฆ
Position: Applied Data Scientist
Qualifications: Bachelorโs/ Masterโs/ MBA
Salary: 6- 9 LPA (Expected)
Experience: Fresher
Location: Remoteโฆ
๐1
Natwest Group is hiring for the role of Business Analyst.
Experince - 1 to 3 Years
Location - Chennai
Apply Link -
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Experince - 1 to 3 Years
Location - Chennai
Apply Link -
https://unstop.com/o/KziQcS9?lb=8eEx09ow&utm_medium=Share&utm_source=shortUrl
Unstop
Technology WoW - Business Analyst by Natwest Group! | 2024 // Unstop
Technology WoW - Business Analyst a jobs by Natwest Group open to Experienced Professionals Apply online before 2024-05-30 23:59:00! | 2024
๐1
Grow Solutions Hiring for Fresher Data Analyst
Location: Gujrat
Qualification : Any degree
Work Experience: Fresher
CTC: upto 8 LPA
Apply Link: https://grow.keka.com/careers/jobdetails/59500
Deliveroo Hiring for Fresher Machine Learning Engineer
Location: Hyderabad
Qualification : Any degree
Work Experience: Fresher
CTC: upto 8 LPA
Apply Link: https://boards.greenhouse.io/deliveroo/jobs/5688028?gh_src=1df4cbd01us
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All the best ๐๐
Location: Gujrat
Qualification : Any degree
Work Experience: Fresher
CTC: upto 8 LPA
Apply Link: https://grow.keka.com/careers/jobdetails/59500
Deliveroo Hiring for Fresher Machine Learning Engineer
Location: Hyderabad
Qualification : Any degree
Work Experience: Fresher
CTC: upto 8 LPA
Apply Link: https://boards.greenhouse.io/deliveroo/jobs/5688028?gh_src=1df4cbd01us
Like for more โค๏ธ
All the best ๐๐
๐2
SQL (Structured Query Language) is widely used for several reasons:
1. Universal Language: SQL is the standard language for relational database management systems (RDBMS). It allows users to access and manipulate databases, making it a universal skill for working with data.
2. Powerful Querying: SQL provides powerful capabilities for querying and retrieving data from databases. It allows users to filter, sort, aggregate, and analyze data efficiently.
3. Data Integrity: SQL databases enforce data integrity through constraints (like unique keys, foreign keys, etc.), ensuring accuracy and reliability of data.
4. Scalability: SQL databases are scalable, handling large datasets and complex queries effectively. They are suitable for both small-scale applications and large enterprise systems.
5. Ease of Use: SQL is designed to be relatively easy to learn and use, especially for those familiar with relational concepts. Its declarative nature (specifying what data is needed, not how to retrieve it) makes it intuitive.
6. Industry Standard: SQL is used across industries and is supported by many vendors (such as Oracle, MySQL, PostgreSQL, Microsoft SQL Server), ensuring compatibility and support options.
7. Data Manipulation: Beyond querying, SQL supports data manipulation operations like inserting, updating, and deleting data, essential for maintaining and managing databases.
Overall, SQL's versatility, efficiency, and widespread adoption make it a fundamental tool for working with structured data in a relational database environment.
1. Universal Language: SQL is the standard language for relational database management systems (RDBMS). It allows users to access and manipulate databases, making it a universal skill for working with data.
2. Powerful Querying: SQL provides powerful capabilities for querying and retrieving data from databases. It allows users to filter, sort, aggregate, and analyze data efficiently.
3. Data Integrity: SQL databases enforce data integrity through constraints (like unique keys, foreign keys, etc.), ensuring accuracy and reliability of data.
4. Scalability: SQL databases are scalable, handling large datasets and complex queries effectively. They are suitable for both small-scale applications and large enterprise systems.
5. Ease of Use: SQL is designed to be relatively easy to learn and use, especially for those familiar with relational concepts. Its declarative nature (specifying what data is needed, not how to retrieve it) makes it intuitive.
6. Industry Standard: SQL is used across industries and is supported by many vendors (such as Oracle, MySQL, PostgreSQL, Microsoft SQL Server), ensuring compatibility and support options.
7. Data Manipulation: Beyond querying, SQL supports data manipulation operations like inserting, updating, and deleting data, essential for maintaining and managing databases.
Overall, SQL's versatility, efficiency, and widespread adoption make it a fundamental tool for working with structured data in a relational database environment.
โค1
Hi,
This is Rahul from the DataEngineer.ai Instagram page. Are you interested in learning SQL?
Course Details:
Duration: 18 hours
Time: 2 Hours per session
Attached is the SQL syllabus for your review. Please go through it and let me know if you have any questions or if you're interested in joining.
Fees for Group Classes: ~โน6,000~ โน1599
For more information, you can visit our social media pages:
YouTube: https://www.youtube.com/channel/UCI0hPhNE4sIZrV8YTMwOXCg
Instagram: https://www.instagram.com/data_engineer.ai/?hl=en
Telegram: https://t.me/Data_engineerai
Looking forward to hearing from you!
Best regards,
Rahul K
This is Rahul from the DataEngineer.ai Instagram page. Are you interested in learning SQL?
Course Details:
Duration: 18 hours
Time: 2 Hours per session
Attached is the SQL syllabus for your review. Please go through it and let me know if you have any questions or if you're interested in joining.
Fees for Group Classes: ~โน6,000~ โน1599
For more information, you can visit our social media pages:
YouTube: https://www.youtube.com/channel/UCI0hPhNE4sIZrV8YTMwOXCg
Instagram: https://www.instagram.com/data_engineer.ai/?hl=en
Telegram: https://t.me/Data_engineerai
Looking forward to hearing from you!
Best regards,
Rahul K
YouTube
DataEngineer_ai
Share your videos with friends, family, and the world
๐1
Expand your job search to increase your chances of becoming a data analyst.
Here are alternative roles to explore:
1. ๐๐๐๐ถ๐ป๐ฒ๐๐ ๐๐ป๐ฎ๐น๐๐๐: Focuses on using data to improve business processes and decision-making.
2. ๐ข๐ฝ๐ฒ๐ฟ๐ฎ๐๐ถ๐ผ๐ป๐ ๐๐ป๐ฎ๐น๐๐๐: Specializes in analyzing operational data to optimize efficiency and performance.
3. ๐ ๐ฎ๐ฟ๐ธ๐ฒ๐๐ถ๐ป๐ด ๐๐ป๐ฎ๐น๐๐๐: Uses data to drive marketing strategies and measure campaign effectiveness.
4. ๐๐ถ๐ป๐ฎ๐ป๐ฐ๐ถ๐ฎ๐น ๐๐ป๐ฎ๐น๐๐๐: Analyzes financial data to support investment decisions and financial planning.
5. ๐ฃ๐ฟ๐ผ๐ฑ๐๐ฐ๐ ๐๐ป๐ฎ๐น๐๐๐: Evaluates product performance and user data to help product development.
6. ๐ฅ๐ฒ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต ๐๐ป๐ฎ๐น๐๐๐: Conducts data-driven research to support strategic decisions and policy development.
7. ๐๐ ๐๐ป๐ฎ๐น๐๐๐: Transforms data into actionable business insights through reporting and visualization.
8. ๐ค๐๐ฎ๐ป๐๐ถ๐๐ฎ๐๐ถ๐๐ฒ ๐๐ป๐ฎ๐น๐๐๐: Utilizes statistical and mathematical models to analyze large datasets, often in finance.
9. ๐๐๐๐๐ผ๐บ๐ฒ๐ฟ ๐๐ป๐๐ถ๐ด๐ต๐๐ ๐๐ป๐ฎ๐น๐๐๐: Analyzes customer data to improve customer experience and drive retention.
10. ๐๐ฎ๐๐ฎ ๐๐ผ๐ป๐๐๐น๐๐ฎ๐ป๐: Provides expert advice on data strategies, data management, and analytics to organizations.
11. ๐ฆ๐๐ฝ๐ฝ๐น๐ ๐๐ต๐ฎ๐ถ๐ป ๐๐ป๐ฎ๐น๐๐๐: Analyzes supply chain data to optimize logistics, reduce costs, and improve efficiency.
12. ๐๐ฅ ๐๐ป๐ฎ๐น๐๐๐: Uses data to improve human resources processes, from recruitment to employee retention and performance management.
Hope this helps you ๐
Here are alternative roles to explore:
1. ๐๐๐๐ถ๐ป๐ฒ๐๐ ๐๐ป๐ฎ๐น๐๐๐: Focuses on using data to improve business processes and decision-making.
2. ๐ข๐ฝ๐ฒ๐ฟ๐ฎ๐๐ถ๐ผ๐ป๐ ๐๐ป๐ฎ๐น๐๐๐: Specializes in analyzing operational data to optimize efficiency and performance.
3. ๐ ๐ฎ๐ฟ๐ธ๐ฒ๐๐ถ๐ป๐ด ๐๐ป๐ฎ๐น๐๐๐: Uses data to drive marketing strategies and measure campaign effectiveness.
4. ๐๐ถ๐ป๐ฎ๐ป๐ฐ๐ถ๐ฎ๐น ๐๐ป๐ฎ๐น๐๐๐: Analyzes financial data to support investment decisions and financial planning.
5. ๐ฃ๐ฟ๐ผ๐ฑ๐๐ฐ๐ ๐๐ป๐ฎ๐น๐๐๐: Evaluates product performance and user data to help product development.
6. ๐ฅ๐ฒ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต ๐๐ป๐ฎ๐น๐๐๐: Conducts data-driven research to support strategic decisions and policy development.
7. ๐๐ ๐๐ป๐ฎ๐น๐๐๐: Transforms data into actionable business insights through reporting and visualization.
8. ๐ค๐๐ฎ๐ป๐๐ถ๐๐ฎ๐๐ถ๐๐ฒ ๐๐ป๐ฎ๐น๐๐๐: Utilizes statistical and mathematical models to analyze large datasets, often in finance.
9. ๐๐๐๐๐ผ๐บ๐ฒ๐ฟ ๐๐ป๐๐ถ๐ด๐ต๐๐ ๐๐ป๐ฎ๐น๐๐๐: Analyzes customer data to improve customer experience and drive retention.
10. ๐๐ฎ๐๐ฎ ๐๐ผ๐ป๐๐๐น๐๐ฎ๐ป๐: Provides expert advice on data strategies, data management, and analytics to organizations.
11. ๐ฆ๐๐ฝ๐ฝ๐น๐ ๐๐ต๐ฎ๐ถ๐ป ๐๐ป๐ฎ๐น๐๐๐: Analyzes supply chain data to optimize logistics, reduce costs, and improve efficiency.
12. ๐๐ฅ ๐๐ป๐ฎ๐น๐๐๐: Uses data to improve human resources processes, from recruitment to employee retention and performance management.
Hope this helps you ๐
Sure! Here are some fundamental concepts in SQL that are essential to understand:
1. Database: A database is a collection of related data organized in a structured format. It typically consists of tables that store data in rows and columns.
2. Table: A table is a basic unit of data storage in a database. It consists of rows and columns where each row represents a record and each column represents a field of the record.
3. Schema: A schema is a logical structure of the database that defines the tables, fields, relationships, and constraints. It provides a blueprint for how the database is constructed.
4. SQL Statements: SQL uses various statements to interact with databases:
- SELECT: Retrieves data from one or more tables.
- INSERT: Adds new rows of data into a table.
- UPDATE: Modifies existing data in a table.
- DELETE: Removes rows from a table.
- CREATE: Creates objects like tables, views, or indexes.
- ALTER: Modifies existing database objects.
- DROP: Deletes database objects.
- GRANT/REVOKE: Manages access rights to database objects.
5. Data Types: SQL supports different data types for storing data in tables, such as INTEGER, VARCHAR, DATE, TIMESTAMP, etc. Each data type defines the kind of data that can be stored in a column.
6. Constraints: Constraints enforce rules for data in tables to ensure data integrity. Common constraints include:
- PRIMARY KEY: Ensures each row in a table is unique and identifies each row uniquely.
- FOREIGN KEY: Establishes a relationship between tables.
- UNIQUE: Ensures values in a column or a group of columns are unique.
- NOT NULL: Ensures a column cannot have NULL values.
- CHECK: Defines a condition that each row must satisfy.
7. Joins: Joins combine rows from two or more tables based on related columns between them. Common types of joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN.
8. Aggregate Functions: SQL provides functions like SUM, AVG, COUNT, MIN, and MAX to perform calculations on groups of rows and return single values.
9. Transactions: Transactions are sequences of SQL statements that are executed as a single unit. They ensure data integrity by allowing either all operations in the transaction to be completed successfully or none of them.
10. Indexes: Indexes improve the speed of data retrieval operations on a database table at the cost of additional storage space and decreased performance on insert and update operations.
These concepts provide a solid foundation for understanding and working with SQL databases. Mastering these basics allows you to write queries effectively and manage data efficiently in a relational database management system.
1. Database: A database is a collection of related data organized in a structured format. It typically consists of tables that store data in rows and columns.
2. Table: A table is a basic unit of data storage in a database. It consists of rows and columns where each row represents a record and each column represents a field of the record.
3. Schema: A schema is a logical structure of the database that defines the tables, fields, relationships, and constraints. It provides a blueprint for how the database is constructed.
4. SQL Statements: SQL uses various statements to interact with databases:
- SELECT: Retrieves data from one or more tables.
- INSERT: Adds new rows of data into a table.
- UPDATE: Modifies existing data in a table.
- DELETE: Removes rows from a table.
- CREATE: Creates objects like tables, views, or indexes.
- ALTER: Modifies existing database objects.
- DROP: Deletes database objects.
- GRANT/REVOKE: Manages access rights to database objects.
5. Data Types: SQL supports different data types for storing data in tables, such as INTEGER, VARCHAR, DATE, TIMESTAMP, etc. Each data type defines the kind of data that can be stored in a column.
6. Constraints: Constraints enforce rules for data in tables to ensure data integrity. Common constraints include:
- PRIMARY KEY: Ensures each row in a table is unique and identifies each row uniquely.
- FOREIGN KEY: Establishes a relationship between tables.
- UNIQUE: Ensures values in a column or a group of columns are unique.
- NOT NULL: Ensures a column cannot have NULL values.
- CHECK: Defines a condition that each row must satisfy.
7. Joins: Joins combine rows from two or more tables based on related columns between them. Common types of joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN.
8. Aggregate Functions: SQL provides functions like SUM, AVG, COUNT, MIN, and MAX to perform calculations on groups of rows and return single values.
9. Transactions: Transactions are sequences of SQL statements that are executed as a single unit. They ensure data integrity by allowing either all operations in the transaction to be completed successfully or none of them.
10. Indexes: Indexes improve the speed of data retrieval operations on a database table at the cost of additional storage space and decreased performance on insert and update operations.
These concepts provide a solid foundation for understanding and working with SQL databases. Mastering these basics allows you to write queries effectively and manage data efficiently in a relational database management system.
Company: Gainwell Technologies!
Position: Data Analyst
Experienc๏ปฟe: Freshers/ Experienced
https://jobs.gainwelltechnologies.com/job/Bangalore-Data-Analyst-KA-560100/1150924900/
Position: Data Analyst
Experienc๏ปฟe: Freshers/ Experienced
https://jobs.gainwelltechnologies.com/job/Bangalore-Data-Analyst-KA-560100/1150924900/
Maverick Consultants hiring Data Analyst
Location: Mumbai, Maharashtra, India
Apply: https://www.linkedin.com/jobs/view/3989284427/?lipi=urn%3Ali%3Apage%3Ad_flagship3_feed%3BflcpX0q4RweEiB3gkH3elQ%3D%3D&lici=B1OhKwz89%2B5ydXipTnkEVA%3D%3D
Like for more โค๏ธ
All the best ๐๐โ
Location: Mumbai, Maharashtra, India
Apply: https://www.linkedin.com/jobs/view/3989284427/?lipi=urn%3Ali%3Apage%3Ad_flagship3_feed%3BflcpX0q4RweEiB3gkH3elQ%3D%3D&lici=B1OhKwz89%2B5ydXipTnkEVA%3D%3D
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All the best ๐๐โ
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121,000+ Data Analyst jobs in India (8,338 new)
Todayโs top 121,000+ Data Analyst jobs in India. Leverage your professional network, and get hired. New Data Analyst jobs added daily.
Aspirature Technologies is hiring!
Position: AI/ML Engineer
Salary: 6 to 10 LPA
Experience: Experienced
Location: Bangalore, India
๐Apply Now: https://codercatalyst.com/jobs/aspirature-technologies-hiring-ai-ml-engineer-fresher-experienced/
All the best...!
Position: AI/ML Engineer
Salary: 6 to 10 LPA
Experience: Experienced
Location: Bangalore, India
๐Apply Now: https://codercatalyst.com/jobs/aspirature-technologies-hiring-ai-ml-engineer-fresher-experienced/
All the best...!
โค1
Yahoo is Hiring for Data Analytics Engineer
If you have around 3 years of experience uou can apply
https://ouryahoo.wd5.myworkdayjobs.com/en-US/careers/job/IndiaโRemote/Software-Apps-Engineer-II_JR0024039?source=LinkedIn
If you have around 3 years of experience uou can apply
https://ouryahoo.wd5.myworkdayjobs.com/en-US/careers/job/IndiaโRemote/Software-Apps-Engineer-II_JR0024039?source=LinkedIn
Myworkdayjobs
Data Analytics Engineer
It takes powerful technology to connect our brands and partners with an audience of hundreds of millions of people. Whether youโre looking to write mobile app code, engineer the servers behind our massive ad tech stacks, or develop algorithms to help us processโฆ
*S&P Global is hiring for Full Stack Development Intern!*
*Expected stipend: INR 15 - 47k/month (via Glassdoor)*
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*Expected stipend: INR 15 - 47k/month (via Glassdoor)*
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Full Stack Development Internship - S&P Global - Ahmedabad | 1170442 // Unstop
Click the link to apply for Full Stack Development Internship at S&P Global. | 2024 | 1170442
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