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Degree: Any graduate can apply
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Infosys
Infosys Careers | Move forward. Take the world with you.
Calling students, graduates & professionals who inspire - be part of our innovative work culture. Feel the difference with unique opportunities at Infosys.
π Free Microsoft Data Analytics Courses for 2024!
Enhance your data skills with these free Microsoft courses:
1. Introduction to Career Skills in Data Analytics
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2. Learning Data Analytics: 1 Foundations
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3. Learning Data Analytics Part 2: Extending and Applying Core Knowledge
Deepen your understanding and apply advanced concepts.
Click here to join β
Embark on your learning journey for free today!
Join @coderslearning for more!
Enhance your data skills with these free Microsoft courses:
1. Introduction to Career Skills in Data Analytics
Kickstart your journey into the world of data analytics.
2. Learning Data Analytics: 1 Foundations
Lay the groundwork for your data analytics expertise.
3. Learning Data Analytics Part 2: Extending and Applying Core Knowledge
Deepen your understanding and apply advanced concepts.
Click here to join β
Embark on your learning journey for free today!
Join @coderslearning for more!
LinkedIn
Career Essentials in Data Analysis by Microsoft and LinkedIn Learning Path | LinkedIn Learning, formerly Lynda.com
Discover the skills needed for a career in data analysis. Learn foundational concepts used in data analysis and practice using software tools for data analytics and data visualization.
π1
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6. SQL - Learn the language of databases.
7. Git & GitHub - Manage and share your code like a pro.
8. OOPs - Understand Object-Oriented Programming.
9. Java - Get skilled in a popular programming language.
π Limited Time Offer β These courses are free only for a short time. Grab your chance now!
π Enroll Here: Click to Join
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Want to get ready for your dream job? Learn the basics that every company looks for with our FREE courses:
1. HTML - Create the structure of web pages.
2. CSS - Make your websites look amazing.
3. JavaScript - Add features and interactivity to your sites.
4. ReactJS - Build advanced user interfaces easily.
5. MongoDB - Work with modern databases.
6. SQL - Learn the language of databases.
7. Git & GitHub - Manage and share your code like a pro.
8. OOPs - Understand Object-Oriented Programming.
9. Java - Get skilled in a popular programming language.
π Limited Time Offer β These courses are free only for a short time. Grab your chance now!
π Enroll Here: Click to Join
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Degree: Diploma/Bachelor/Master
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Salary: Not Disclosed
Degree: Diploma/Bachelor/Master
Experience: Freshers/Experienced
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Looking for a great career opportunity?
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Degree: Bachelor/Master
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Degree: B.Tech/B.E
Experience: Freshers
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π Special Session by an IIT Professor
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π Special Session by an IIT Professor
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Donβt miss this opportunity to learn from the best and boost your career in Machine Learning! π
Oracle is hiring for internships role
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Salary: Not Disclosed
Degree: Any graduates
Experience: 0 to 2+ years
Location: Bengaluru, India
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Experience: 0 to 2+ years
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Degree: Graduate/Post Graduate
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Degree: Graduate/Post Graduate
Experience: 0 to 1 year
Location: Bengaluru, India
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π§ 5 Free Online Courses to Learn Data Science: π
1. Introduction to Databases with SQL - Harvard
Introduction to Databases with SQL is a fantastic starting point for anyone looking to understand the backbone of data storage and manipulation.
Link: CS50's Introduction to Databases with SQL (harvard.edu)
2. Introduction to Data Science with Python - Harvard
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Link: Introduction to Data Science with Python | Harvard University
3. Statistical Learning with R β Stanford
Statistical Learning with R course is a comprehensive introduction to the key concepts and techniques used in data science and machine learning.
Link: Statistical Learning | Stanford Online
4. Topics in Mathematics of Data Science β MIT
Topics in Mathematics of Data Science course dives into the mathematical foundations of data science.
The course is tailored for those with a keen interest in conducting research in the theoretical aspects of algorithms that are used to extract information from data.
Link: Topics in Mathematics of Data Science | Mathematics | MIT OpenCourseWare
5. Introduction to Data Analytics - IBM
Introduction to Data Analytics course, available on Coursera, provides a practical introduction to data analytics.
This course covers the data analysis process, from data cleaning and preparation to visualization and interpretation.
Link: Introduction to Data Analytics Course by IBM | Coursera
Join @coderslearning for more! β
ENJOY LEARNING! ππ
1. Introduction to Databases with SQL - Harvard
Introduction to Databases with SQL is a fantastic starting point for anyone looking to understand the backbone of data storage and manipulation.
Link: CS50's Introduction to Databases with SQL (harvard.edu)
2. Introduction to Data Science with Python - Harvard
Data Science with Python is perfect for those who want to dive into data science using Python, one of the most popular programming languages for data science and machine learning.
Link: Introduction to Data Science with Python | Harvard University
3. Statistical Learning with R β Stanford
Statistical Learning with R course is a comprehensive introduction to the key concepts and techniques used in data science and machine learning.
Link: Statistical Learning | Stanford Online
4. Topics in Mathematics of Data Science β MIT
Topics in Mathematics of Data Science course dives into the mathematical foundations of data science.
The course is tailored for those with a keen interest in conducting research in the theoretical aspects of algorithms that are used to extract information from data.
Link: Topics in Mathematics of Data Science | Mathematics | MIT OpenCourseWare
5. Introduction to Data Analytics - IBM
Introduction to Data Analytics course, available on Coursera, provides a practical introduction to data analytics.
This course covers the data analysis process, from data cleaning and preparation to visualization and interpretation.
Link: Introduction to Data Analytics Course by IBM | Coursera
Join @coderslearning for more! β
ENJOY LEARNING! ππ
π1
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Salary: Not Disclosed
Degree: Any graduates
Experience: 0 to 1+ years
Location: Across India
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Postion: Various positions
Salary: Not Disclosed
Degree: Any graduates
Experience: 0 to 1+ years
Location: Across India
Apply now: Click here to apply
Position: Software Engineer
Salary: INR 4 - 9 LPA
Degree: Bachelor's degree
Batch: 20/21/22/23/2024
Experience: Freshers & Experienced
Location: Bangalore, India.
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Salary: INR 4 - 9 LPA
Degree: Bachelor's degree
Batch: 20/21/22/23/2024
Experience: Freshers & Experienced
Location: Bangalore, India.
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Basic web development roadmap
π§
1.Learn: How websites work, front-end vs back-end, code editorββ
π§
2: Basic front-end:
a. Html
b. Css
c. Javascript
Expected time 7+14+30=51 days.
π§
3. Learn front-end frameworks:
a. Learn css framework ( Bootstrap , Tailwind css , ...)
b. Learn JavaScript frameworks ( angular, react , vue...)
Expected time minimum 60 days.
π§
4. Learn database
a. MySQL
b. MongoDB
There are many more. Choose one and learn.
π§
5. Learn backend programming languages:
a. Php
b. Nodejs
There are many more. Learn any one.
Expected time: 60 days
π§
6. Do some projects and clone some websites.
β«οΈβ«οΈπ§β«οΈβ«οΈ
π Join our Community
@coderslearningg
Share with your College Whatsapp Groups & Friends too
π§
1.Learn: How websites work, front-end vs back-end, code editorββ
π§
2: Basic front-end:
a. Html
b. Css
c. Javascript
Expected time 7+14+30=51 days.
π§
3. Learn front-end frameworks:
a. Learn css framework ( Bootstrap , Tailwind css , ...)
b. Learn JavaScript frameworks ( angular, react , vue...)
Expected time minimum 60 days.
π§
4. Learn database
a. MySQL
b. MongoDB
There are many more. Choose one and learn.
π§
5. Learn backend programming languages:
a. Php
b. Nodejs
There are many more. Learn any one.
Expected time: 60 days
π§
6. Do some projects and clone some websites.
β«οΈβ«οΈπ§β«οΈβ«οΈ
π Join our Community
@coderslearningg
Share with your College Whatsapp Groups & Friends too
π1
Zomato is hiring for Internship role
Postion: Various positions
Stipend: Not Disclosed
Degree: Any graduates
Experience: Freshers / Experienced
Location: Bangalore , Chennai , Delhi , Hyderabad , Kolkata , Mumbai , Pune
Apply now: Click here to apply
Postion: Various positions
Stipend: Not Disclosed
Degree: Any graduates
Experience: Freshers / Experienced
Location: Bangalore , Chennai , Delhi , Hyderabad , Kolkata , Mumbai , Pune
Apply now: Click here to apply
Complete JavaScript Road Mapπ₯
A-Z JavaScriptπ
1.Variables
β³ var
β³ let
β³ const
2. Data Types
β³ number
β³ string
β³ boolean
β³ null
β³ undefined
β³ symbol
3.Declaring variables
β³ var
β³ let
β³ const
4.Expressions
Primary expressions
β³ this
β³ Literals
β³ []
β³ {}
β³ function
β³ class
β³ function*
β³ async function
β³ async function*
β³ /ab+c/i
β³ string
β³ ( )
Left-hand-side expressions
β³ Property accessors
β³ ?.
β³ new
β³ new .target
β³ import.meta
β³ super
β³ import()
5.operators
β³ Arithmetic Operators: +, -, *, /, %
β³ Comparison Operators: ==, ===, !=, !==, <, >, <=, >=
β³ Logical Operators: &&, ||, !
6.Control Structures
β³ if
β³ else if
β³ else
β³ switch
β³ case
β³ default
7.Iterations/Loop
β³ do...while
β³ for
β³ for...in
β³ for...of
β³ for await...of
β³ while
8.Functions
β³ Arrow Functions
β³ Default parameters
β³ Rest parameters
β³ arguments
β³ Method definitions
β³ getter
β³ setter
9.Objects and Arrays
β³ Object Literal: { key: value }
β³ Array Literal: [element1, element2, ...]
β³ Object Methods and Properties
β³ Array Methods: push(), pop(), shift(), unshift(),
splice(), slice(), forEach(), map(), filter()
10.Classes and Prototypes
β³ Class Declaration
β³ Constructor Functions
β³ Prototypal Inheritance
β³ extends keyword
β³ super keyword
β³ Private class features
β³ Public class fields
β³ static
β³ Static initialization blocks
11.Error Handling
β³ try,
β³ catch,
β³ finally (exception handling)
ADVANCED CONCEPTS
--------------------------
12.Closures
β³ Lexical Scope
β³ Function Scope
β³ Closure Use Cases
13.Asynchronous JavaScript
β³ Callback Functions
β³ Promises
β³ async/await Syntax
β³ Fetch API
β³ XMLHttpRequest
14.Modules
β³ import and export Statements (ES6 Modules)
β³ CommonJS Modules (require, module.exports)
15.Event Handling
β³ Event Listeners
β³ Event Object
β³ Bubbling and Capturing
16.DOM Manipulation
β³ Selecting DOM Elements
β³ Modifying Element Properties
β³ Creating and Appending Elements
17.Regular Expressions
β³ Pattern Matching
β³ RegExp Methods: test(), exec(), match(), replace()
18.Browser APIs
β³ localStorage and sessionStorage
β³ navigator Object
β³ Geolocation API
β³ Canvas API
19.Web APIs
β³ setTimeout(), setInterval()
β³ XMLHttpRequest
β³ Fetch API
β³ WebSockets
20.Functional Programming
β³ Higher-Order Functions
β³ map(), reduce(), filter()
β³ Pure Functions and Immutability
21.Promises and Asynchronous Patterns
β³ Promise Chaining
β³ Error Handling with Promises
β³ Async/Await
22.ES6+ Features
β³ Template Literals
β³ Destructuring Assignment
β³ Rest and Spread Operators
β³ Arrow Functions
β³ Classes and Inheritance
β³ Default Parameters
β³ let, const Block Scoping
23.Browser Object Model (BOM)
β³ window Object
β³ history Object
β³ location Object
β³ navigator Object
24.Node.js Specific Concepts
β³ require()
β³ Node.js Modules (module.exports)
β³ File System Module (fs)
β³ npm (Node Package Manager)
25.Testing Frameworks
β³ Jasmine
β³ Mocha
β³ Jest
------------------- END-------------------
Some Good Resources To Learn
JavaScript
1.Documentation
Mozilla MDN Web Docs
developer.mozilla.org/en-US/docs/Webβ¦
DevDocs
devdocs.io/javascript/
2. Useful Channel's
Javascript Courses: https://bit.ly/3W08oRZ
Programming Resources:
https://bit.ly/3Kq85uE
Join @coderslearning for more β
Join discussion our group @coderslearningg π₯
Hope it helps ππ±
A-Z JavaScriptπ
1.Variables
β³ var
β³ let
β³ const
2. Data Types
β³ number
β³ string
β³ boolean
β³ null
β³ undefined
β³ symbol
3.Declaring variables
β³ var
β³ let
β³ const
4.Expressions
Primary expressions
β³ this
β³ Literals
β³ []
β³ {}
β³ function
β³ class
β³ function*
β³ async function
β³ async function*
β³ /ab+c/i
β³ string
β³ ( )
Left-hand-side expressions
β³ Property accessors
β³ ?.
β³ new
β³ new .target
β³ import.meta
β³ super
β³ import()
5.operators
β³ Arithmetic Operators: +, -, *, /, %
β³ Comparison Operators: ==, ===, !=, !==, <, >, <=, >=
β³ Logical Operators: &&, ||, !
6.Control Structures
β³ if
β³ else if
β³ else
β³ switch
β³ case
β³ default
7.Iterations/Loop
β³ do...while
β³ for
β³ for...in
β³ for...of
β³ for await...of
β³ while
8.Functions
β³ Arrow Functions
β³ Default parameters
β³ Rest parameters
β³ arguments
β³ Method definitions
β³ getter
β³ setter
9.Objects and Arrays
β³ Object Literal: { key: value }
β³ Array Literal: [element1, element2, ...]
β³ Object Methods and Properties
β³ Array Methods: push(), pop(), shift(), unshift(),
splice(), slice(), forEach(), map(), filter()
10.Classes and Prototypes
β³ Class Declaration
β³ Constructor Functions
β³ Prototypal Inheritance
β³ extends keyword
β³ super keyword
β³ Private class features
β³ Public class fields
β³ static
β³ Static initialization blocks
11.Error Handling
β³ try,
β³ catch,
β³ finally (exception handling)
ADVANCED CONCEPTS
--------------------------
12.Closures
β³ Lexical Scope
β³ Function Scope
β³ Closure Use Cases
13.Asynchronous JavaScript
β³ Callback Functions
β³ Promises
β³ async/await Syntax
β³ Fetch API
β³ XMLHttpRequest
14.Modules
β³ import and export Statements (ES6 Modules)
β³ CommonJS Modules (require, module.exports)
15.Event Handling
β³ Event Listeners
β³ Event Object
β³ Bubbling and Capturing
16.DOM Manipulation
β³ Selecting DOM Elements
β³ Modifying Element Properties
β³ Creating and Appending Elements
17.Regular Expressions
β³ Pattern Matching
β³ RegExp Methods: test(), exec(), match(), replace()
18.Browser APIs
β³ localStorage and sessionStorage
β³ navigator Object
β³ Geolocation API
β³ Canvas API
19.Web APIs
β³ setTimeout(), setInterval()
β³ XMLHttpRequest
β³ Fetch API
β³ WebSockets
20.Functional Programming
β³ Higher-Order Functions
β³ map(), reduce(), filter()
β³ Pure Functions and Immutability
21.Promises and Asynchronous Patterns
β³ Promise Chaining
β³ Error Handling with Promises
β³ Async/Await
22.ES6+ Features
β³ Template Literals
β³ Destructuring Assignment
β³ Rest and Spread Operators
β³ Arrow Functions
β³ Classes and Inheritance
β³ Default Parameters
β³ let, const Block Scoping
23.Browser Object Model (BOM)
β³ window Object
β³ history Object
β³ location Object
β³ navigator Object
24.Node.js Specific Concepts
β³ require()
β³ Node.js Modules (module.exports)
β³ File System Module (fs)
β³ npm (Node Package Manager)
25.Testing Frameworks
β³ Jasmine
β³ Mocha
β³ Jest
------------------- END-------------------
Some Good Resources To Learn
JavaScript
1.Documentation
Mozilla MDN Web Docs
developer.mozilla.org/en-US/docs/Webβ¦
DevDocs
devdocs.io/javascript/
2. Useful Channel's
Javascript Courses: https://bit.ly/3W08oRZ
Programming Resources:
https://bit.ly/3Kq85uE
Join @coderslearning for more β
Join discussion our group @coderslearningg π₯
Hope it helps ππ±
Company: Flipkart
Postion: SDE
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Degree: Bachelor / Master Degree
Experience: Freshers / Experienced
Location: Across, India
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Postion: SDE
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Degree: Bachelor / Master Degree
Experience: Freshers / Experienced
Location: Across, India
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Company: Genpact
Position: Technical Associate
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Degree: B.E/B.Tech/BCA/MCA
Batch: 2022/2023/2024
Experience: Freshers
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Position: Technical Associate
Salary: Up To 7 LPA*
Degree: B.E/B.Tech/BCA/MCA
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Experience: Freshers
Location: Bangalore, India
Apply Now: Click here to apply
Corizo is hiring for the Internship role
Postion: Various positions
Stipend: Not Disclosed
Degree: Any graduates
Experience: Freshers / Experienced
Location: Across India
Apply now: Click here to apply
Postion: Various positions
Stipend: Not Disclosed
Degree: Any graduates
Experience: Freshers / Experienced
Location: Across India
Apply now: Click here to apply