NIKE Internship Program 2024
Role:- Software Engineering Intern
Job Location:- Karnataka, India
Stipend :- Upto 25,000rs/Month
Apply Link π:-
https://bit.ly/3vBYz3I
Apply before the link expires
Role:- Software Engineering Intern
Job Location:- Karnataka, India
Stipend :- Upto 25,000rs/Month
Apply Link π:-
https://bit.ly/3vBYz3I
Apply before the link expires
π3
Hi Members, We are conducting small quiz on HTML
If anyone Interested, pls join our Quiz
Join here π
@fullstack_school
If anyone Interested, pls join our Quiz
Join here π
@fullstack_school
roadmap to learn Rust:
1. Grasping Rust Fundamentals
- π Getting familiar with Rust's syntax and basics.
- π‘ Understanding variables, data types, and functions.
- π Exploring control flow mechanisms.
- πΌ Mastering ownership and borrowing concepts.
- π§ Learning about memory management and lifetimes.
2. Navigating Intermediate Rust Concepts
- π¦ Delving into modules, crates, and packages.
- π οΈ Handling errors effectively with 'Result' and 'Option'.
- π» Embracing concurrency through threads and async/await.
- π Leveraging the standard library for collections and file I/O.
- π¨ Exploring traits, generics, and trait bounds.
3. Venturing into Web Fundamentals
- π Understanding HTTP basics and RESTful APIs.
- π Mastering CRUD operations and REST principles.
- π’ Grasping client-server architecture and REST architecture.
4. Rust in Web Development
- π£οΈ Exploring Rust frameworks like Rocket and Actix-Web.
- π Building routes, middleware, and integrating with databases.
- ποΈ Working with ORM and handling database connectivity.
5. Front-end Development with Rust
- π Harnessing the power of WebAssembly and Rust integration.
- π Embracing Rust front-end frameworks like Yew.
- π¨ Understanding front-end concepts and state management.
6. Testing and Quality Assurance
- βοΈ Implementing robust testing strategies for Rust projects.
- π§ͺ Embracing test-driven development principles.
- π Setting up continuous integration pipelines for seamless development.
1. Grasping Rust Fundamentals
- π Getting familiar with Rust's syntax and basics.
- π‘ Understanding variables, data types, and functions.
- π Exploring control flow mechanisms.
- πΌ Mastering ownership and borrowing concepts.
- π§ Learning about memory management and lifetimes.
2. Navigating Intermediate Rust Concepts
- π¦ Delving into modules, crates, and packages.
- π οΈ Handling errors effectively with 'Result' and 'Option'.
- π» Embracing concurrency through threads and async/await.
- π Leveraging the standard library for collections and file I/O.
- π¨ Exploring traits, generics, and trait bounds.
3. Venturing into Web Fundamentals
- π Understanding HTTP basics and RESTful APIs.
- π Mastering CRUD operations and REST principles.
- π’ Grasping client-server architecture and REST architecture.
4. Rust in Web Development
- π£οΈ Exploring Rust frameworks like Rocket and Actix-Web.
- π Building routes, middleware, and integrating with databases.
- ποΈ Working with ORM and handling database connectivity.
5. Front-end Development with Rust
- π Harnessing the power of WebAssembly and Rust integration.
- π Embracing Rust front-end frameworks like Yew.
- π¨ Understanding front-end concepts and state management.
6. Testing and Quality Assurance
- βοΈ Implementing robust testing strategies for Rust projects.
- π§ͺ Embracing test-driven development principles.
- π Setting up continuous integration pipelines for seamless development.
π6
Certainly! Here are some free resources to learn Rust according to the provided roadmap:
1. Rust Fundamentals:
- Book: "The Rust Programming Language" (also known as "The Rust Book") - Official Rust documentation available at [The Rust Programming Language](https://doc.rust-lang.org/book/)
2. Intermediate Rust Concepts:
- Book: "Rust by Example" - Interactive learning resource with examples available at [Rust by Example](https://doc.rust-lang.org/rust-by-example/)
- Website: "Rustlings" - A collection of small exercises to get you used to reading and writing Rust code available at [Rustlings](https://github.com/rust-lang/rustlings)
3. Web Fundamentals:
- Book: "Rocket Tutorial" - A guide to building web applications with the Rocket framework available at [Rocket Tutorial](https://rocket.rs/v0.5-rc/guide/)
- Website: "Actix Web" - Official documentation and guides for Actix-Web available at [Actix Web](https://actix.rs/docs/)
4. Rust in Web Development:
- Book: "Diesel Getting Started" - A guide to getting started with the Diesel ORM framework available at [Diesel Getting Started](https://diesel.rs/guides/getting-started/)
- Website: "Diesel" - Official documentation and guides for Diesel available at [Diesel](https://diesel.rs/)
5. Front-end Development with Rust:
- Website: "Yew Framework" - Official documentation and guides for Yew available at [Yew Framework](https://yew.rs/docs/en/)
6. Testing and Quality Assurance:
- Website: "Rust Test" - Official documentation for testing in Rust available at [Rust Test](https://doc.rust-lang.org/stable/book/ch11-00-testing.html)
- Website: "Continuous Integration with Rust" - Official Rust documentation on continuous integration available at [Continuous Integration with Rust](https://rust-lang.github.io/rfcs/2497-conventions.html)
1. Rust Fundamentals:
- Book: "The Rust Programming Language" (also known as "The Rust Book") - Official Rust documentation available at [The Rust Programming Language](https://doc.rust-lang.org/book/)
2. Intermediate Rust Concepts:
- Book: "Rust by Example" - Interactive learning resource with examples available at [Rust by Example](https://doc.rust-lang.org/rust-by-example/)
- Website: "Rustlings" - A collection of small exercises to get you used to reading and writing Rust code available at [Rustlings](https://github.com/rust-lang/rustlings)
3. Web Fundamentals:
- Book: "Rocket Tutorial" - A guide to building web applications with the Rocket framework available at [Rocket Tutorial](https://rocket.rs/v0.5-rc/guide/)
- Website: "Actix Web" - Official documentation and guides for Actix-Web available at [Actix Web](https://actix.rs/docs/)
4. Rust in Web Development:
- Book: "Diesel Getting Started" - A guide to getting started with the Diesel ORM framework available at [Diesel Getting Started](https://diesel.rs/guides/getting-started/)
- Website: "Diesel" - Official documentation and guides for Diesel available at [Diesel](https://diesel.rs/)
5. Front-end Development with Rust:
- Website: "Yew Framework" - Official documentation and guides for Yew available at [Yew Framework](https://yew.rs/docs/en/)
6. Testing and Quality Assurance:
- Website: "Rust Test" - Official documentation for testing in Rust available at [Rust Test](https://doc.rust-lang.org/stable/book/ch11-00-testing.html)
- Website: "Continuous Integration with Rust" - Official Rust documentation on continuous integration available at [Continuous Integration with Rust](https://rust-lang.github.io/rfcs/2497-conventions.html)
doc.rust-lang.org
Introduction - Rust By Example
Rust by Example (RBE) is a collection of runnable examples that illustrate various Rust concepts and standard libraries.
π4
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Earn a certificate and add it to your resume and LinkedIn as an extra curricular activity.
Apply Link π:-
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Unlock Your Potential: Your Micro Internship Journey with Tata & TCS β Where Innovation Meets Expertise!
Earn a certificate and add it to your resume and LinkedIn as an extra curricular activity.
Apply Link π:-
https://bit.ly/3vM69Zv
Unlock Your Potential: Your Micro Internship Journey with Tata & TCS β Where Innovation Meets Expertise!
π4
Informative Facts about Data Analytics::
πData analytics is the process of examining, cleaning, transforming, and interpreting data to discover valuable insights.
πIt plays a crucial role in decision-making across various industries, helping organizations make data-driven choices.
πDescriptive analytics focuses on summarizing historical data, while predictive analytics uses historical data to make future predictions.
πPrescriptive analytics suggests actions to optimize outcomes based on data analysis, making it a valuable tool for decision support.
πData analytics relies on various techniques, including statistical analysis, machine learning, and data mining.
πBig data analytics deals with large, complex datasets, often requiring specialized tools and technologies.
πData visualization is a key component of data analytics, as it helps communicate insights effectively through charts, graphs, and dashboards.
πBusinesses use customer analytics to understand and predict customer behavior, improving marketing and product development.
πHealthcare leverages data analytics for patient outcomes analysis, fraud detection, and personalized treatment plans.
πData analytics has ethical and privacy implications, as the handling of sensitive data requires responsible practices to protect individuals' information
πData analytics is the process of examining, cleaning, transforming, and interpreting data to discover valuable insights.
πIt plays a crucial role in decision-making across various industries, helping organizations make data-driven choices.
πDescriptive analytics focuses on summarizing historical data, while predictive analytics uses historical data to make future predictions.
πPrescriptive analytics suggests actions to optimize outcomes based on data analysis, making it a valuable tool for decision support.
πData analytics relies on various techniques, including statistical analysis, machine learning, and data mining.
πBig data analytics deals with large, complex datasets, often requiring specialized tools and technologies.
πData visualization is a key component of data analytics, as it helps communicate insights effectively through charts, graphs, and dashboards.
πBusinesses use customer analytics to understand and predict customer behavior, improving marketing and product development.
πHealthcare leverages data analytics for patient outcomes analysis, fraud detection, and personalized treatment plans.
πData analytics has ethical and privacy implications, as the handling of sensitive data requires responsible practices to protect individuals' information
π7
Complete roadmap to learn Data analytics
1. Foundational Math Skills: π Start by mastering basic math concepts such as statistics, probability, and algebra, laying a solid groundwork for data analysis.
2. Excel Proficiency: π Develop proficiency in Excel, progressing from basic functions to advanced features like pivot tables and data visualization to effectively manipulate and analyze data.
3. SQL Proficiency: π» Dive into SQL to efficiently retrieve, manipulate, and analyze data stored in databases, mastering essential querying techniques.
4. Data Visualization Tools: π Explore data visualization tools like Tableau or Power BI to create compelling visualizations that facilitate data-driven insights and decision-making.
5. Data Cleaning Techniques: π§Ή Learn techniques to clean and preprocess data, ensuring data quality and integrity before analysis.
6. Python Programming: π Familiarize yourself with Python programming language and its data science libraries like Pandas, NumPy, and Matplotlib for data analysis, manipulation, and visualization.
7. Project-based Learning: π οΈ Apply your skills to real-world projects using authentic datasets, gaining practical experience and honing your analytical skills.
8. Introduction to Machine Learning: π€ Gain an understanding of machine learning concepts and algorithms, exploring their applications in data analysis and prediction.
9. Continuous Learning: π Stay updated with the latest trends and advancements in data analytics through online courses, books, and professional communities.
10. Portfolio Development: π Build a portfolio showcasing your projects, skills, and achievements, demonstrating your proficiency and expertise to potential employers or clients.
1. Foundational Math Skills: π Start by mastering basic math concepts such as statistics, probability, and algebra, laying a solid groundwork for data analysis.
2. Excel Proficiency: π Develop proficiency in Excel, progressing from basic functions to advanced features like pivot tables and data visualization to effectively manipulate and analyze data.
3. SQL Proficiency: π» Dive into SQL to efficiently retrieve, manipulate, and analyze data stored in databases, mastering essential querying techniques.
4. Data Visualization Tools: π Explore data visualization tools like Tableau or Power BI to create compelling visualizations that facilitate data-driven insights and decision-making.
5. Data Cleaning Techniques: π§Ή Learn techniques to clean and preprocess data, ensuring data quality and integrity before analysis.
6. Python Programming: π Familiarize yourself with Python programming language and its data science libraries like Pandas, NumPy, and Matplotlib for data analysis, manipulation, and visualization.
7. Project-based Learning: π οΈ Apply your skills to real-world projects using authentic datasets, gaining practical experience and honing your analytical skills.
8. Introduction to Machine Learning: π€ Gain an understanding of machine learning concepts and algorithms, exploring their applications in data analysis and prediction.
9. Continuous Learning: π Stay updated with the latest trends and advancements in data analytics through online courses, books, and professional communities.
10. Portfolio Development: π Build a portfolio showcasing your projects, skills, and achievements, demonstrating your proficiency and expertise to potential employers or clients.
π7β€3
PwC FREE Power BI Certification Program
Earn a certificate and add it to your resume and LinkedIn as an extracurricular activity.
Apply Link π:-
https://bit.ly/49kFUaw
It's completely FREEπ₯π
Earn a certificate and add it to your resume and LinkedIn as an extracurricular activity.
Apply Link π:-
https://bit.ly/49kFUaw
It's completely FREEπ₯π
π5π₯°1
Hi Friends, Any suggestions regarding content ?
Based on your suggestions, we will plan our content accordingly
Comment Below π
Based on your suggestions, we will plan our content accordingly
Comment Below π
60 Days Roadmap to master JavaScript π₯
Beginner Topics π
Day 1 : Introduction to JavaScript, The JavaScript Glossary, JavaScript syntax
Day 2 : Lexical Structure, Expressions, Types
Day 3 :Variables, Math Operators, Functions
Day 4 : Immediately-Invoked Function Expressions IIFE
Day 5 : this
Day 6 : Arrow Functions
Day 7 : Loops, Loops and Scope, Arrays
Day 8 : Regular expressions
Day 9 : Template Literals
Day 10 : SemicolonsStrict Mode
Day 11 : JavaScript Dates
Day 12 : Math Object
Day 13,14,15 : Asynchronous programming and Callbacks
Day 16 : JavaScript Timers
Day 17, 18, 19 : Promises
Day 20, 21: Async and Await
Day 22 : JavaScript Event Loop
Day 23 : Events
Day 24, 25, 26 : UI Events
Day 27 : Forms, controls
Day 28, 29, 30 : Document and resource loading
Advanced Topics π
Day 31-40 : Functional Programming in JS
Day 40-45 : Advanced Working With Functions
Day 45-50 : Closures
Day 50, 51, 52 : Regular Expressions
Day 52-55 : Unicode in JS
Day 55- 60 :Storing data in the browser
Beginner Topics π
Day 1 : Introduction to JavaScript, The JavaScript Glossary, JavaScript syntax
Day 2 : Lexical Structure, Expressions, Types
Day 3 :Variables, Math Operators, Functions
Day 4 : Immediately-Invoked Function Expressions IIFE
Day 5 : this
Day 6 : Arrow Functions
Day 7 : Loops, Loops and Scope, Arrays
Day 8 : Regular expressions
Day 9 : Template Literals
Day 10 : SemicolonsStrict Mode
Day 11 : JavaScript Dates
Day 12 : Math Object
Day 13,14,15 : Asynchronous programming and Callbacks
Day 16 : JavaScript Timers
Day 17, 18, 19 : Promises
Day 20, 21: Async and Await
Day 22 : JavaScript Event Loop
Day 23 : Events
Day 24, 25, 26 : UI Events
Day 27 : Forms, controls
Day 28, 29, 30 : Document and resource loading
Advanced Topics π
Day 31-40 : Functional Programming in JS
Day 40-45 : Advanced Working With Functions
Day 45-50 : Closures
Day 50, 51, 52 : Regular Expressions
Day 52-55 : Unicode in JS
Day 55- 60 :Storing data in the browser
π9π₯2β€1
π Top YouTube Channels to Master Power BI:
1οΈβ£ Guy in a Cube: Adam Saxton and Patrick LeBlanc's channel offers practical Power BI tutorials and best practices, making learning a breeze. π‘
2οΈβ£ Microsoft Power BI: Get in-depth insights, updates, and guidance directly from the Power BI source. Stay ahead with the official channel. π
3οΈβ£ Curbal: Ruth Pozuelo's tutorials are crystal clear, providing a wide range of Power BI tips and data visualization expertise. π
4οΈβ£ BI Elite: Dive into advanced Power BI content covering data modeling, DAX calculations, and more. Elevate your skills with BI Elite. π
5οΈβ£ SQLBI: Marco Russo and Alberto Ferrari, industry experts, share deep insights into Power BI, DAX, and data modeling. Learn from the best. π§
6οΈβ£ THE Power BI Guy: Parker Stevens brings engaging tutorials and tips to create compelling reports and dashboards. Master Power BI with his approachable teaching style. π
1οΈβ£ Guy in a Cube: Adam Saxton and Patrick LeBlanc's channel offers practical Power BI tutorials and best practices, making learning a breeze. π‘
2οΈβ£ Microsoft Power BI: Get in-depth insights, updates, and guidance directly from the Power BI source. Stay ahead with the official channel. π
3οΈβ£ Curbal: Ruth Pozuelo's tutorials are crystal clear, providing a wide range of Power BI tips and data visualization expertise. π
4οΈβ£ BI Elite: Dive into advanced Power BI content covering data modeling, DAX calculations, and more. Elevate your skills with BI Elite. π
5οΈβ£ SQLBI: Marco Russo and Alberto Ferrari, industry experts, share deep insights into Power BI, DAX, and data modeling. Learn from the best. π§
6οΈβ£ THE Power BI Guy: Parker Stevens brings engaging tutorials and tips to create compelling reports and dashboards. Master Power BI with his approachable teaching style. π
π5
https://www.instagram.com/reel/C5dGIf0NY0x/?igsh=bW83cnlld2cxaTcz
Here are direct Links for courses
βData Analytics.
https://skillsforall.com/course/data-analytics-essentials?courseLang=en-US
βData Science
https://skillsforall.com/course/introduction-data-science?courseLang=en-US
βJavaScript
https://skillsforall.com/course/javascript-essentials-1?courseLang=en-US
βPython Essentials
https://skillsforall.com/course/python-essentials-1?courseLang=en-US
βCybersecurity
https://skillsforall.com/course/introduction-to-cybersecurity?courseLang=en-US
Here are direct Links for courses
βData Analytics.
https://skillsforall.com/course/data-analytics-essentials?courseLang=en-US
βData Science
https://skillsforall.com/course/introduction-data-science?courseLang=en-US
βJavaScript
https://skillsforall.com/course/javascript-essentials-1?courseLang=en-US
βPython Essentials
https://skillsforall.com/course/python-essentials-1?courseLang=en-US
βCybersecurity
https://skillsforall.com/course/introduction-to-cybersecurity?courseLang=en-US
Netacad
Introduction to Data Analytics Essentials
Free online course to learn data analytics essentials - from Cisco Networking Academy. Sign up today!
π3
Cisco is Offering FREE Trainings & Certifications
Eligibility:- Anyone who Interested To Improve Skillset
Apply Link π:-
https://bit.ly/4anXlIh
Apply before the link expires
Eligibility:- Anyone who Interested To Improve Skillset
Apply Link π:-
https://bit.ly/4anXlIh
Apply before the link expires
π2β€1
Top Companies Hiring Data Analysts & Business Analysts
Salary Package :- 5 LPA To 15 LPA
Job Location :- Across India
Qualification :- Any Graduate
Apply Link π:-
https://bit.ly/3PQl9wm
Apply Before The Link Expires
Salary Package :- 5 LPA To 15 LPA
Job Location :- Across India
Qualification :- Any Graduate
Apply Link π:-
https://bit.ly/3PQl9wm
Apply Before The Link Expires
π3
Data Analytics Internship Program 2024
Company Name:- EY
Position title β Intern
Stipend :- Upto 25,000rs/Month
Apply Link π :-
https://bit.ly/3xzumCO
Apply before the link expires
Company Name:- EY
Position title β Intern
Stipend :- Upto 25,000rs/Month
Apply Link π :-
https://bit.ly/3xzumCO
Apply before the link expires
π6
https://www.instagram.com/reel/C5f4KdaySer/?igsh=MTUyczJvcmd6cGNmYw==
Hey everyone,
Here's the direct link for free 30+ courses offered by HP
LINK - https://www.life-global.org/allcourses?page=1
Hey everyone,
Here's the direct link for free 30+ courses offered by HP
LINK - https://www.life-global.org/allcourses?page=1
π5
Great News To Get Placed In Top IT Companies
Our alumni student Prasad Gaurav got placed recently with salary 8LPA .
we want everyone to get placed in Top MNC's.
Join Our Demo Classes To Learn Coding.
We will help you upskill yourself as per today's job market .
Learn Full Stack Development ,DSA & Data Analytics
πππ π’π¬πππ« ππ¨π°π :-
https://bit.ly/3Tz0wYq
Hurry, limited seats available!
If you have any doubts ,pls comment
Our alumni student Prasad Gaurav got placed recently with salary 8LPA .
we want everyone to get placed in Top MNC's.
Join Our Demo Classes To Learn Coding.
We will help you upskill yourself as per today's job market .
Learn Full Stack Development ,DSA & Data Analytics
πππ π’π¬πππ« ππ¨π°π :-
https://bit.ly/3Tz0wYq
Hurry, limited seats available!
If you have any doubts ,pls comment
π2
Here's the link for Excel sheet that contains 1000 of problems to solve.
Link- https://docs.google.com/spreadsheets/u/0/d/1hzP8j7matoUiJ15N-RhsL5Dmig8_E3aP/htmlview#gid=1377915986
Link- https://docs.google.com/spreadsheets/u/0/d/1hzP8j7matoUiJ15N-RhsL5Dmig8_E3aP/htmlview#gid=1377915986
π€―2π1
If Anyone Interested To Learn About Full Stack Development, Interview Questions & Interview Preparation
Follow
Telegram π:-
https://t.me/fullstack_school
Follow
Telegram π:-
https://t.me/fullstack_school
Barclays is hiring for 2024
Job Position:- Software Engineer
Salary:- Upto 7 LPA
Job Location:- Pune
Apply Link π:-
https://bit.ly/3TQEH4P
Apply before the link expires
Job Position:- Software Engineer
Salary:- Upto 7 LPA
Job Location:- Pune
Apply Link π:-
https://bit.ly/3TQEH4P
Apply before the link expires
π2