Deloitte is hiring interns!
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Eligibility: UG / PG
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Deloitte is hiring interns!
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- Join our… | 158 comments on LinkedIn
Eligibility: UG / PG
Position: Management Intern
Stipend: Paid opportunity
For more details: https://lnkd.in/gR2W-RGt
- Join our… | 158 comments on LinkedIn
PayPal hiring Software Engineer
Company: PayPal
Qualifications: BE/BTech
Experience Needed: Freshers
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Canonical hiring Junior Software Engineer
Find your dream job from a number of job opportunities in IT,Non IT,Web Developer,Automation,Data Analysis,Java Developer,Python Developer,PHP etc..
Marsh McLennan Off Campus Hiring Fresher For Analyst
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Work Experience : Fresher - 1 year
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cult.fit Hiring Fresher For Business Analyst
Location: Bangalore
Qualification: Bachelor/Master Degree
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Career Essentials in Business Analysis by Microsoft and LinkedIn Learning Path | LinkedIn Learning, formerly Lynda.com
Discover the skills needed to thrive in a business analyst role. Explore foundational business analysis concepts and understand key processes. Practice using software tools for common business analysis tasks.
Marsh McLennan Off Campus Hiring Fresher For Analyst
Location : Pune
Qualification : B.E/B.Tech/M.E/M.Tech/MCA
Work Experience : Fresher - 1 year
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Gururo is hiring!
Position: Applied Data Scientist
Qualifications: Bachelor’s/ Master’s/ MBA
Salary: 6- 9 LPA (Expected)
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Location: Remote
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Data Science & Analytics on LinkedIn: Data Scientist job in bangalore - Gururo
Gururo is hiring!
Position: Applied Data Scientist
Qualifications: Bachelor’s/ Master’s/ MBA
Salary: 6- 9 LPA (Expected)
Experience: Fresher
Location: Remote…
Position: Applied Data Scientist
Qualifications: Bachelor’s/ Master’s/ MBA
Salary: 6- 9 LPA (Expected)
Experience: Fresher
Location: Remote…
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Natwest Group is hiring for the role of Business Analyst.
Experince - 1 to 3 Years
Location - Chennai
Apply Link -
https://unstop.com/o/KziQcS9?lb=8eEx09ow&utm_medium=Share&utm_source=shortUrl
Experince - 1 to 3 Years
Location - Chennai
Apply Link -
https://unstop.com/o/KziQcS9?lb=8eEx09ow&utm_medium=Share&utm_source=shortUrl
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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
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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
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CTC: upto 8 LPA
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Location: Gujrat
Qualification : Any degree
Work Experience: Fresher
CTC: upto 8 LPA
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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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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.
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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: ~₹6,000~ ₹1599
For more information, you can visit our social media pages:
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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: ~₹6,000~ ₹1599
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
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DataEngineer_ai
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Expand your job search to increase your chances of becoming a data analyst.
Here are alternative roles to explore:
1. 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗔𝗻𝗮𝗹𝘆𝘀𝘁: Focuses on using data to improve business processes and decision-making.
2. 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 𝗔𝗻𝗮𝗹𝘆𝘀𝘁: Specializes in analyzing operational data to optimize efficiency and performance.
3. 𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 𝗔𝗻𝗮𝗹𝘆𝘀𝘁: Uses data to drive marketing strategies and measure campaign effectiveness.
4. 𝗙𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 𝗔𝗻𝗮𝗹𝘆𝘀𝘁: Analyzes financial data to support investment decisions and financial planning.
5. 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗔𝗻𝗮𝗹𝘆𝘀𝘁: Evaluates product performance and user data to help product development.
6. 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗔𝗻𝗮𝗹𝘆𝘀𝘁: Conducts data-driven research to support strategic decisions and policy development.
7. 𝗕𝗜 𝗔𝗻𝗮𝗹𝘆𝘀𝘁: Transforms data into actionable business insights through reporting and visualization.
8. 𝗤𝘂𝗮𝗻𝘁𝗶𝘁𝗮𝘁𝗶𝘃𝗲 𝗔𝗻𝗮𝗹𝘆𝘀𝘁: Utilizes statistical and mathematical models to analyze large datasets, often in finance.
9. 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝗔𝗻𝗮𝗹𝘆𝘀𝘁: Analyzes customer data to improve customer experience and drive retention.
10. 𝗗𝗮𝘁𝗮 𝗖𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝗻𝘁: Provides expert advice on data strategies, data management, and analytics to organizations.
11. 𝗦𝘂𝗽𝗽𝗹𝘆 𝗖𝗵𝗮𝗶𝗻 𝗔𝗻𝗮𝗹𝘆𝘀𝘁: Analyzes supply chain data to optimize logistics, reduce costs, and improve efficiency.
12. 𝗛𝗥 𝗔𝗻𝗮𝗹𝘆𝘀𝘁: Uses data to improve human resources processes, from recruitment to employee retention and performance management.
Hope this helps you 😊
Here are alternative roles to explore:
1. 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗔𝗻𝗮𝗹𝘆𝘀𝘁: Focuses on using data to improve business processes and decision-making.
2. 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 𝗔𝗻𝗮𝗹𝘆𝘀𝘁: Specializes in analyzing operational data to optimize efficiency and performance.
3. 𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 𝗔𝗻𝗮𝗹𝘆𝘀𝘁: Uses data to drive marketing strategies and measure campaign effectiveness.
4. 𝗙𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 𝗔𝗻𝗮𝗹𝘆𝘀𝘁: Analyzes financial data to support investment decisions and financial planning.
5. 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗔𝗻𝗮𝗹𝘆𝘀𝘁: Evaluates product performance and user data to help product development.
6. 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗔𝗻𝗮𝗹𝘆𝘀𝘁: Conducts data-driven research to support strategic decisions and policy development.
7. 𝗕𝗜 𝗔𝗻𝗮𝗹𝘆𝘀𝘁: Transforms data into actionable business insights through reporting and visualization.
8. 𝗤𝘂𝗮𝗻𝘁𝗶𝘁𝗮𝘁𝗶𝘃𝗲 𝗔𝗻𝗮𝗹𝘆𝘀𝘁: Utilizes statistical and mathematical models to analyze large datasets, often in finance.
9. 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝗔𝗻𝗮𝗹𝘆𝘀𝘁: Analyzes customer data to improve customer experience and drive retention.
10. 𝗗𝗮𝘁𝗮 𝗖𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝗻𝘁: Provides expert advice on data strategies, data management, and analytics to organizations.
11. 𝗦𝘂𝗽𝗽𝗹𝘆 𝗖𝗵𝗮𝗶𝗻 𝗔𝗻𝗮𝗹𝘆𝘀𝘁: Analyzes supply chain data to optimize logistics, reduce costs, and improve efficiency.
12. 𝗛𝗥 𝗔𝗻𝗮𝗹𝘆𝘀𝘁: Uses data to improve human resources processes, from recruitment to employee retention and performance management.
Hope this helps you 😊
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
Experience: Freshers/ Experienced
https://jobs.gainwelltechnologies.com/job/Bangalore-Data-Analyst-KA-560100/1150924900/
Position: Data Analyst
Experience: 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 ❤️
All the best 👍👍✅
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 👍👍✅
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121,000+ Data Analyst jobs in India (8,338 new)
Today’s 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
📌Apply 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
📌Apply Now: https://codercatalyst.com/jobs/aspirature-technologies-hiring-ai-ml-engineer-fresher-experienced/
All the best...!
❤1
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/India—Remote/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/India—Remote/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 you’re looking to write mobile app code, engineer the servers behind our massive ad tech stacks, or develop algorithms to help us process…
*S&P Global is hiring for Full Stack Development Intern!*
*Expected stipend: INR 15 - 47k/month (via Glassdoor)*
Link: https://unstop.com/internships/full-stack-development-internship-sp-global-1170442?utm_source=OffCampusDrive&utm_medium=Affiliates&utm_campaign=SPG01102024&ref=OffCampusDrive
*Expected stipend: INR 15 - 47k/month (via Glassdoor)*
Link: https://unstop.com/internships/full-stack-development-internship-sp-global-1170442?utm_source=OffCampusDrive&utm_medium=Affiliates&utm_campaign=SPG01102024&ref=OffCampusDrive
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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