๐๐๐ญ ๐ ๐๐๐ซ๐ข๐๐ข๐๐ ๐๐๐ ๐๐๐ฏ๐๐ฅ๐จ๐ฉ๐ฆ๐๐ง๐ญ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ ๐๐๐๐จ๐ ๐ง๐ข๐ฌ๐๐ ๐๐ฒ ๐๐จ๐จ๐ ๐ฅ๐
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๐๐๐ญ ๐ฒ๐จ๐ฎ๐ซ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ ๐ง๐จ๐ฐ ๐:-
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Limited period offer
Prove Your Web Development Skills & Get Certified.
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๐๐๐ญ ๐ฒ๐จ๐ฎ๐ซ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ ๐ง๐จ๐ฐ ๐:-
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Limited period offer
๐3
Free courses offered by Stanford University.
1. Computer Science 101
Link- https://online.stanford.edu/courses/soe-ycscs101-computer-science-101
2. Machine Learning Specialization
Link- https://online.stanford.edu/courses/soe-ymls-machine-learning-specialization
3. R Programming Fundamentals
Link- https://online.stanford.edu/courses/xfds112-r-programming-fundamentals
4. Designing Your Career
Link- https://online.stanford.edu/courses/tds-y0003-designing-your-career
5. Algorithms: Design and Analysis
Link- https://online.stanford.edu/courses/soe-ycsalgorithms1-algorithms-design-and-analysis-part-1
1. Computer Science 101
Link- https://online.stanford.edu/courses/soe-ycscs101-computer-science-101
2. Machine Learning Specialization
Link- https://online.stanford.edu/courses/soe-ymls-machine-learning-specialization
3. R Programming Fundamentals
Link- https://online.stanford.edu/courses/xfds112-r-programming-fundamentals
4. Designing Your Career
Link- https://online.stanford.edu/courses/tds-y0003-designing-your-career
5. Algorithms: Design and Analysis
Link- https://online.stanford.edu/courses/soe-ycsalgorithms1-algorithms-design-and-analysis-part-1
Stanford Online
Computer Science 101 | Stanford Online
Learn the essential ideas of Computer Science, this course demystifies and brings those patterns to life, which is useful for anyone using computers today.
๐ฅฐ2
๐๐จ๐ฉ ๐๐๐'๐ฌ ๐๐ข๐ซ๐ข๐ง๐ ๐๐จ๐๐ญ๐ฐ๐๐ซ๐ ๐๐ง๐ ๐ข๐ง๐๐๐ซ๐ฌ ,๐
๐ฎ๐ฅ๐ฅ ๐๐ญ๐๐๐ค ๐๐๐ฏ๐๐ฅ๐จ๐ฉ๐๐ซ๐ฌ ,๐๐๐ญ๐ ๐๐ง๐๐ฅ๐ฒ๐ฌ๐ญ๐ฌ , ๐๐ฎ๐ฌ๐ข๐ง๐๐ฌ๐ฌ ๐๐ง๐๐ฅ๐ฒ๐ฌ๐ญ , ๐๐๐ญ๐ ๐๐ง๐ ๐ข๐ง๐๐๐ซ ,& ๐๐๐ง๐ฒ ๐ฆ๐จ๐ซ๐
Step 1:- ๐Upload Your Resume
https://bit.ly/4aDKrFN
Step 2:- Fill in your professional details like education & work experience (if any)
Step 3 :- Select your skills & preferred job role & location
Apply To The Jobs That Match To Your Profile
Step 1:- ๐Upload Your Resume
https://bit.ly/4aDKrFN
Step 2:- Fill in your professional details like education & work experience (if any)
Step 3 :- Select your skills & preferred job role & location
Apply To The Jobs That Match To Your Profile
๐4
Here's free to access GitHub repository for 150+ mini Project's
Link- https://github.com/Ayushparikh-code/Web-dev-mini-projects
Link- https://github.com/Ayushparikh-code/Web-dev-mini-projects
GitHub
GitHub - Ayushparikh-code/Web-dev-mini-projects: The repository contains the list of awesomeโจ & cool web development beginner-friendlyโ๏ธโฆ
The repository contains the list of awesomeโจ & cool web development beginner-friendlyโ๏ธ projects! - Ayushparikh-code/Web-dev-mini-projects
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Job Location:- Karnataka, India
Stipend :- Upto 25,000rs/Month
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Apply before the link expires
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Hi Members, We are conducting small quiz on HTML
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roadmap to learn Rust:
1. Grasping Rust Fundamentals
- ๐ Getting familiar with Rust's syntax and basics.
- ๐ก Understanding variables, data types, and functions.
- ๐ Exploring control flow mechanisms.
- ๐ผ Mastering ownership and borrowing concepts.
- ๐ง Learning about memory management and lifetimes.
2. Navigating Intermediate Rust Concepts
- ๐ฆ Delving into modules, crates, and packages.
- ๐ ๏ธ Handling errors effectively with 'Result' and 'Option'.
- ๐ป Embracing concurrency through threads and async/await.
- ๐ Leveraging the standard library for collections and file I/O.
- ๐จ Exploring traits, generics, and trait bounds.
3. Venturing into Web Fundamentals
- ๐ Understanding HTTP basics and RESTful APIs.
- ๐ Mastering CRUD operations and REST principles.
- ๐ข Grasping client-server architecture and REST architecture.
4. Rust in Web Development
- ๐ฃ๏ธ Exploring Rust frameworks like Rocket and Actix-Web.
- ๐ Building routes, middleware, and integrating with databases.
- ๐๏ธ Working with ORM and handling database connectivity.
5. Front-end Development with Rust
- ๐ Harnessing the power of WebAssembly and Rust integration.
- ๐ Embracing Rust front-end frameworks like Yew.
- ๐จ Understanding front-end concepts and state management.
6. Testing and Quality Assurance
- โ๏ธ Implementing robust testing strategies for Rust projects.
- ๐งช Embracing test-driven development principles.
- ๐ Setting up continuous integration pipelines for seamless development.
1. Grasping Rust Fundamentals
- ๐ Getting familiar with Rust's syntax and basics.
- ๐ก Understanding variables, data types, and functions.
- ๐ Exploring control flow mechanisms.
- ๐ผ Mastering ownership and borrowing concepts.
- ๐ง Learning about memory management and lifetimes.
2. Navigating Intermediate Rust Concepts
- ๐ฆ Delving into modules, crates, and packages.
- ๐ ๏ธ Handling errors effectively with 'Result' and 'Option'.
- ๐ป Embracing concurrency through threads and async/await.
- ๐ Leveraging the standard library for collections and file I/O.
- ๐จ Exploring traits, generics, and trait bounds.
3. Venturing into Web Fundamentals
- ๐ Understanding HTTP basics and RESTful APIs.
- ๐ Mastering CRUD operations and REST principles.
- ๐ข Grasping client-server architecture and REST architecture.
4. Rust in Web Development
- ๐ฃ๏ธ Exploring Rust frameworks like Rocket and Actix-Web.
- ๐ Building routes, middleware, and integrating with databases.
- ๐๏ธ Working with ORM and handling database connectivity.
5. Front-end Development with Rust
- ๐ Harnessing the power of WebAssembly and Rust integration.
- ๐ Embracing Rust front-end frameworks like Yew.
- ๐จ Understanding front-end concepts and state management.
6. Testing and Quality Assurance
- โ๏ธ Implementing robust testing strategies for Rust projects.
- ๐งช Embracing test-driven development principles.
- ๐ Setting up continuous integration pipelines for seamless development.
๐6
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.
๐4
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Informative Facts about Data Analytics::
๐Data analytics is the process of examining, cleaning, transforming, and interpreting data to discover valuable insights.
๐It plays a crucial role in decision-making across various industries, helping organizations make data-driven choices.
๐Descriptive analytics focuses on summarizing historical data, while predictive analytics uses historical data to make future predictions.
๐Prescriptive analytics suggests actions to optimize outcomes based on data analysis, making it a valuable tool for decision support.
๐Data analytics relies on various techniques, including statistical analysis, machine learning, and data mining.
๐Big data analytics deals with large, complex datasets, often requiring specialized tools and technologies.
๐Data visualization is a key component of data analytics, as it helps communicate insights effectively through charts, graphs, and dashboards.
๐Businesses use customer analytics to understand and predict customer behavior, improving marketing and product development.
๐Healthcare leverages data analytics for patient outcomes analysis, fraud detection, and personalized treatment plans.
๐Data analytics has ethical and privacy implications, as the handling of sensitive data requires responsible practices to protect individuals' information
๐Data analytics is the process of examining, cleaning, transforming, and interpreting data to discover valuable insights.
๐It plays a crucial role in decision-making across various industries, helping organizations make data-driven choices.
๐Descriptive analytics focuses on summarizing historical data, while predictive analytics uses historical data to make future predictions.
๐Prescriptive analytics suggests actions to optimize outcomes based on data analysis, making it a valuable tool for decision support.
๐Data analytics relies on various techniques, including statistical analysis, machine learning, and data mining.
๐Big data analytics deals with large, complex datasets, often requiring specialized tools and technologies.
๐Data visualization is a key component of data analytics, as it helps communicate insights effectively through charts, graphs, and dashboards.
๐Businesses use customer analytics to understand and predict customer behavior, improving marketing and product development.
๐Healthcare leverages data analytics for patient outcomes analysis, fraud detection, and personalized treatment plans.
๐Data analytics has ethical and privacy implications, as the handling of sensitive data requires responsible practices to protect individuals' information
๐7
Complete roadmap to learn Data analytics
1. Foundational Math Skills: ๐ Start by mastering basic math concepts such as statistics, probability, and algebra, laying a solid groundwork for data analysis.
2. Excel Proficiency: ๐ 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: ๐ป Dive into SQL to efficiently retrieve, manipulate, and analyze data stored in databases, mastering essential querying techniques.
4. Data Visualization Tools: ๐ 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: ๐งน Learn techniques to clean and preprocess data, ensuring data quality and integrity before analysis.
6. Python Programming: ๐ 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: ๐ ๏ธ Apply your skills to real-world projects using authentic datasets, gaining practical experience and honing your analytical skills.
8. Introduction to Machine Learning: ๐ค Gain an understanding of machine learning concepts and algorithms, exploring their applications in data analysis and prediction.
9. Continuous Learning: ๐ Stay updated with the latest trends and advancements in data analytics through online courses, books, and professional communities.
10. Portfolio Development: ๐ Build a portfolio showcasing your projects, skills, and achievements, demonstrating your proficiency and expertise to potential employers or clients.
1. Foundational Math Skills: ๐ Start by mastering basic math concepts such as statistics, probability, and algebra, laying a solid groundwork for data analysis.
2. Excel Proficiency: ๐ 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: ๐ป Dive into SQL to efficiently retrieve, manipulate, and analyze data stored in databases, mastering essential querying techniques.
4. Data Visualization Tools: ๐ 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: ๐งน Learn techniques to clean and preprocess data, ensuring data quality and integrity before analysis.
6. Python Programming: ๐ 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: ๐ ๏ธ Apply your skills to real-world projects using authentic datasets, gaining practical experience and honing your analytical skills.
8. Introduction to Machine Learning: ๐ค Gain an understanding of machine learning concepts and algorithms, exploring their applications in data analysis and prediction.
9. Continuous Learning: ๐ Stay updated with the latest trends and advancements in data analytics through online courses, books, and professional communities.
10. Portfolio Development: ๐ Build a portfolio showcasing your projects, skills, and achievements, demonstrating your proficiency and expertise to potential employers or clients.
๐7โค3
PwC FREE Power BI Certification Program
Earn a certificate and add it to your resume and LinkedIn as an extracurricular activity.
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It's completely FREE๐ฅ๐
Earn a certificate and add it to your resume and LinkedIn as an extracurricular activity.
Apply Link ๐:-
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It's completely FREE๐ฅ๐
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Hi Friends, Any suggestions regarding content ?
Based on your suggestions, we will plan our content accordingly
Comment Below ๐
Based on your suggestions, we will plan our content accordingly
Comment Below ๐
60 Days Roadmap to master JavaScript ๐ฅ
Beginner Topics ๐
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 ๐
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 ๐
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 ๐
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
๐9๐ฅ2โค1
๐ Top YouTube Channels to Master Power BI:
1๏ธโฃ Guy in a Cube: Adam Saxton and Patrick LeBlanc's channel offers practical Power BI tutorials and best practices, making learning a breeze. ๐ก
2๏ธโฃ Microsoft Power BI: Get in-depth insights, updates, and guidance directly from the Power BI source. Stay ahead with the official channel. ๐
3๏ธโฃ Curbal: Ruth Pozuelo's tutorials are crystal clear, providing a wide range of Power BI tips and data visualization expertise. ๐
4๏ธโฃ BI Elite: Dive into advanced Power BI content covering data modeling, DAX calculations, and more. Elevate your skills with BI Elite. ๐
5๏ธโฃ SQLBI: Marco Russo and Alberto Ferrari, industry experts, share deep insights into Power BI, DAX, and data modeling. Learn from the best. ๐ง
6๏ธโฃ 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. ๐
1๏ธโฃ Guy in a Cube: Adam Saxton and Patrick LeBlanc's channel offers practical Power BI tutorials and best practices, making learning a breeze. ๐ก
2๏ธโฃ Microsoft Power BI: Get in-depth insights, updates, and guidance directly from the Power BI source. Stay ahead with the official channel. ๐
3๏ธโฃ Curbal: Ruth Pozuelo's tutorials are crystal clear, providing a wide range of Power BI tips and data visualization expertise. ๐
4๏ธโฃ BI Elite: Dive into advanced Power BI content covering data modeling, DAX calculations, and more. Elevate your skills with BI Elite. ๐
5๏ธโฃ SQLBI: Marco Russo and Alberto Ferrari, industry experts, share deep insights into Power BI, DAX, and data modeling. Learn from the best. ๐ง
6๏ธโฃ 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. ๐
๐5
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Here are direct Links for courses
โData Analytics.
https://skillsforall.com/course/data-analytics-essentials?courseLang=en-US
โData Science
https://skillsforall.com/course/introduction-data-science?courseLang=en-US
โJavaScript
https://skillsforall.com/course/javascript-essentials-1?courseLang=en-US
โPython Essentials
https://skillsforall.com/course/python-essentials-1?courseLang=en-US
โCybersecurity
https://skillsforall.com/course/introduction-to-cybersecurity?courseLang=en-US
Here are direct Links for courses
โData Analytics.
https://skillsforall.com/course/data-analytics-essentials?courseLang=en-US
โData Science
https://skillsforall.com/course/introduction-data-science?courseLang=en-US
โJavaScript
https://skillsforall.com/course/javascript-essentials-1?courseLang=en-US
โPython Essentials
https://skillsforall.com/course/python-essentials-1?courseLang=en-US
โCybersecurity
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!
๐3
Cisco is Offering FREE Trainings & Certifications
Eligibility:- Anyone who Interested To Improve Skillset
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Eligibility:- Anyone who Interested To Improve Skillset
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Apply before the link expires
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Top Companies Hiring Data Analysts & Business Analysts
Salary Package :- 5 LPA To 15 LPA
Job Location :- Across India
Qualification :- Any Graduate
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Apply Before The Link Expires
Salary Package :- 5 LPA To 15 LPA
Job Location :- Across India
Qualification :- Any Graduate
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Apply Before The Link Expires
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Data Analytics Internship Program 2024
Company Name:- EY
Position title โ Intern
Stipend :- Upto 25,000rs/Month
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Apply before the link expires
Company Name:- EY
Position title โ Intern
Stipend :- Upto 25,000rs/Month
Apply Link ๐ :-
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Apply before the link expires
๐6