Coders Learning

⭕ Front-End Developer in 150 Days ⭕

📝 HTML Day 1 - 15
📝 CSS  Day 16 - 35
📝 Basic JavaScript Day 35 - 65
📝 Responsive Web Design Day 65 - 70
📝 Advanced JavaScript Day 70 - 100
📝 React Day 100 - 145
📝 Git/GitHub Day 145 - 150

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📌 Hiring for the Role of GenAI Development Intern!
Experience: Freshers
Expected Salary: INR 20k - 35k /month
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📌 Adani is hiring for the role of Frontend Developer!
Experience: Freshers
Expected Salary: INR 4 - 11.6 LPA
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Experience: Freshers
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📌 MAERSK is hiring for Software Engineer - Python Developer
Experience: Freshers
Expected Salary: INR 5 - 11.5 LPA
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📌 Hiring for the Role of Software Development Engineer Intern!
Experience: Freshers
Expected Salary: INR 16k - 36k /month
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📌 Genpact is hiring for the role of Process Developer - Contract Management!
Experience: Freshers
Expected Salary: INR 4 - 9 LPA
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📌 Hiring for the role of Software Developer in Test(SDET)!
Experience: Freshers
Expected Salary: INR 10k - 15k / Month
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📌 Oracle is hiring for the role of Software Developer!
Experience: 0 - 3 years
Expected Salary: ₹10 LPA - ₹25 LPA
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📌 Hiring for the role of UI/UX Designer!
Experience: Freshers
Expected Salary: INR 4,00,000 / Year
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📌 Hiring for the Role of Cyber Security
Experience: Freshers
Expected Salary: INR 20k / Month
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Experience: Freshers / Experienced
Expected Salary: INR 10 - 25 LPA
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Here are 10 Free Websites to learn about becoming a Business Development Executive. 💻🚀

1. Coursera (Free Courses)
- Offers courses on sales, business strategies, negotiation, and market analysis from top universities.
- Look for courses with a free auditing option.
- [Link](https://www.coursera.org/)

2. edX
- Provides free courses in business development, leadership, and strategic management.
- Top universities like Harvard and MIT offer courses here.
- [Link](https://www.edx.org/)

3. HubSpot Academy
- Known for its free certifications in Inbound Sales, Sales Management, and Business Development.
- Great for anyone interested in customer relations and sales tactics.
- https://academy.hubspot.com/

4. LinkedIn Learning (Free Trial)
- Offers a wide range of business development courses with a free one-month trial.
- Covers topics like sales strategies, CRM management, and business communication.
- https://www.linkedin.com/learning

5. Alison
- Free courses in business management, sales, and entrepreneurship.
- Certifications available in many topics relevant to business development.
- https://alison.com/

6. Google Digital Garage
- Provides free business and digital marketing courses.
- Great for learning digital skills and strategies for business growth.
- (https://learndigital.withgoogle.com/digitalgarage)

7. FutureLearn (Free Courses)
- Offers free courses from international universities on business management and development.
- Topics include market analysis, business strategy, and innovation.
- https://www.futurelearn.com/

8. Skillshare (Free Trial)
- 7-day free trial with access to various courses on sales, negotiation, and business strategy.
- Also includes networking and personal branding classes.
- https://www.skillshare.com/

9. OpenLearn by The Open University
- Offers free business courses with certificates.
- Topics include sales management, leadership, and communication.
- https://www.open.edu/openlearn

10. MIT OpenCourseWare
- Provides free access to MIT's course materials on entrepreneurship and business management.
- Includes lectures, assignments, and self-paced study materials.
- https://ocw.mit.edu

Join @coderslearning for more! ✅

KEEP LEARNING 👍👍

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Essential Topics to Master Data Science Interviews: 🚀

SQL:
1. Foundations
- Master SELECT statements with WHERE,Essential ToEssential ToEssential - Basic JOINS (INNER, LEFT, RIGHT, FULL)
- Understand simple databases and table structures

2. Intermediate SQL
- Aggregate functions (COUNT, SUM, AVG, MAX, MIN)
- Subqueries & nested queries
- Common Table Expressions (WITH clause)
- CASE statements for logical operations

3. Advanced SQL
- Advanced JOIN techniques (self-join, non-equi join)
- Window functions (OVER, PARTITION BY, ROW_NUMBER, RANK, DENSE_RANK, LEAD, LAG)
- Query optimization with indexing
- Data manipulation (INSERT, UPDATE, DELETE)

Python:
1. Python Basics
- Syntax, variables, and data types
- Control structures (`if-else`, for andential Toloops)
- Data structures (lists, dictionaries, sets, tuples)
- Functions, lambda functions, error handling (try-except)
- Modules and packages

2. Pandas & Numpy
- Create and manipulate DataFrames & Series
- Indexing, selecting, and filtering data
- Handle missing data (`fillna`, `dropna`)
- Aggregate data with groupby
- Merge, join, and concatenate datasets

3. Data Visualization with Python
- Plot with Matplotlib (line, bar, histograms)
- Visualize with Seaborn (scatter, box, pair plots)
- Customize plots (sizes, labels, legends, color palettes)
- Intro to interactive visualizations (e.g., Plotly)

Excel:
1. Excel Essentials
- Basic formulas (`SUMIFS`, COUNTIFS,Essent etc.)
- Charts and basic data visualization
- Sort, filter, and conditional formatting

2. Intermediate Excel
- Advanced formulas (`V/XLOOKUP`, INDEX-MATCH, nested IF)
- PivotTables & PivotCharts
- Data validation and What-if analysis

3. Advanced Excel
- Array formulas and advanced functions
- Power Pivot & Data Model
- Advanced Filter, Slicers, Timelines
- Dynamic charts & interactive dashboards

Power BI:
1. Data Modeling in Power BI
- Import data from multiple sources
- Manage relationships between datasets
- Data modeling basics (star, snowflake schemas)

2. Data Transformation in Power BI
- Data cleaning with Power Query
- Advanced data shaping techniques
- Calculated columns & measures with DAX

3. Data Visualization & Reporting in Power BI
- Interactive reports & dashboards
- Visualizations (bar, line, pie charts, maps)
- Publish, share, & schedule data refreshes

Statistics Fundamentals:
- Mean, Median, Mode
- Standard Deviation & Variance
- Probability Distributions, Hypothesis Testing
- P-values & Confidence Intervals
- Correlation & Simple Linear Regression
- Normal, Binomial, Poisson Distributions

Show some ❤️ if you're ready to elevate your data science journey! 📊

Join @coderslearning for more! ✅

ENJOY LEARNING! 👍👍

Alert! 🚨

Join our WhatsApp group for daily Job and Internship updates:👇

https://chat.whatsapp.com/EMHzA0dExbMFHT9xGw6bpR

Leverage your skills from Google, IBM and Meta

1. Google Data Analytics
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2. Google Project Management
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3. Google IT Support
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4. Google Digital Marketing & E-commerce
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5. Google IT Automation with Python
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6. Google Business Intelligence
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7. Google Advanced Data Analytics
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8. Google Cybersecurity
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9. IBM Data Science
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10. Machine Learning
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11. IBM Data Analyst
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12. Python for Everybody
https://lnkd.in/d8Adh_wB

Join @coderslearning for more! ✅

ENJOY LEARNING 👍👍

Clear all DSA rounds,

By mastering these 20 DSA patterns

1. Fast and Slow Pointer
- Cycle detection method
- O(1) space efficiency
- Linked list problems

2. Merge Intervals
- Sort and merge
- O(n log n) complexity
- Overlapping interval handling

3. Sliding Window
- Fixed/variable window
- O(n) time optimization
- Subarray/substring problems

4. Islands (Matrix Traversal)
- DFS/BFS traversal
- Connected component detection
- 2D grid problems

5. Two Pointers
- Dual pointer strategy
- Linear time complexity
- Array/list problems

6. Cyclic Sort
- Sorting in cycles
- O(n) time complexity
- Constant space usage

7. In-place Reversal of Linked List
- Reverse without extra space
- O(n) time efficiency
- Pointer manipulation technique

8. Breadth First Search
- Level-by-level traversal
- Uses queue structure
- Shortest path problems

9. Depth First Search
- Recursive/backtracking approach
- Uses stack (or recursion)
- Tree/graph traversal

10. Two Heaps
- Max and min heaps
- Median tracking efficiently
- O(log n) insertions

11. Subsets
- Generate all subsets
- Recursive or iterative
- Backtracking or bitmasking

12. Modified Binary Search
- Search in variations
- O(log n) time
- Rotated/specialized arrays

13. Bitwise XOR
- Toggle bits operation
- O(1) space complexity
- Efficient for pairing

14. Top 'K' elements
- Use heap/quickselect
- O(n log k) time
- Efficient selection problem

15. K-way Merge
- Merge sorted lists
- Min-heap based approach
- O(n log k) complexity

16. 0/1 Knapsack (Dynamic Programming)
- Choose or skip items
- O(n * W) complexity
- Maximize value selection

17. Unbounded Knapsack (Dynamic Programming)
- Unlimited item choices
- O(n * W) complexity
- Multiple item selection

18. Topological Sort (Graphs)
- Directed acyclic graph
- Order dependency resolution
- Uses DFS or BFS

19. Monotonic Stack
- Maintain increasing/decreasing stack
- Optimized for range queries
- O(n) time complexity

20. Backtracking
- Recursive decision-making
- Explore all possibilities
- Pruning with constraints

Best DSA Resources: 👇
https://t.me/coderslearning

All the best 👍👍

How does “import” and “export” work in JavaScript?
68. What is a Proxy object in JavaScript?
69. Explain the difference between “var,” “let,” and “const” scope.
70. How do you flatten an array in JavaScript?
71. What are IIFE (Immediately Invoked Function Expressions)?
72. What is the purpose of the “setTimeout” and “setInterval” functions?
73. Explain the concept of polyfills in JavaScript.
74. What is a WeakMap in JavaScript, and how is it different from a Map?
75. How do you handle data binding in JavaScript?
76. What is the purpose of the “every” and “some” methods in JavaScript arrays?
77. Explain the difference between “==” and “===” in JavaScript.
78. How do you remove properties from an object in JavaScript?
79. What is the purpose of the “Object.freeze” method?
80. How do you check if an object is empty in JavaScript?
81. Explain the concept of throttling in JavaScript.
82. What is a WeakSet in JavaScript?
83. How does JavaScript’s garbage collection work?
84. What is debouncing in JavaScript, and how is it different from throttling?
85. What is the purpose of the “Object.assign” method?
86. Explain the difference between map, filter, and reduce.
87. How do you handle inheritance in JavaScript?
88. What is the difference between synchronous and asynchronous functions?
89. How does the “async” keyword work with functions?
90. What are JavaScript decorators?
91. Explain how to optimize JavaScript code for performance.
92. What is a service worker in JavaScript?
93. How do you use “try...catch” for error handling in JavaScript?
94. Explain how promises can be chained.
95. What are the benefits of using closures in JavaScript?
96. How can you reverse a string in JavaScript?
97. What is a Set in JavaScript?
98. Explain the concept of promises with async/await.
99. How do you use “Object.keys,” “Object.values,” and “Object.entries” in JavaScript?
100. What is the purpose of “Promise.all” in JavaScript?

This list provides a comprehensive overview of JavaScript concepts, making it useful for interview preparation.

Join @coderslearning for more! ✅

ENJOY LEARNING 👍👍

Here’s the complete list of 100 JavaScript interview questions:

1. What is JavaScript?
2. What are the data types in JavaScript?
3. What is the difference between null and undefined?
4. Explain the concept of hoisting in JavaScript.
5. What is a closure in JavaScript?
6. What is the difference between “==” and “===” operators in JavaScript?
7. Explain the concept of prototypal inheritance in JavaScript.
8. What are the different ways to define a function in JavaScript?
9. How does event delegation work in JavaScript?
10. What is the purpose of the “this” keyword in JavaScript?
11. What are the different ways to create objects in JavaScript?
12. Explain the concept of callback functions in JavaScript.
13. What is event bubbling and event capturing in JavaScript?
14. What is the purpose of the “bind” method in JavaScript?
15. Explain the concept of AJAX in JavaScript.
16. What is the “typeof” operator used for?
17. How does JavaScript handle errors and exceptions?
18. Explain the concept of event-driven programming in JavaScript.
19. What is the purpose of the “async” and “await” keywords in JavaScript?
20. What is the difference between a deep copy and a shallow copy in JavaScript?
21. How does JavaScript handle memory management?
22. Explain the concept of the event loop in JavaScript.
23. What is the purpose of the “map” method in JavaScript?
24. What is a promise in JavaScript?
25. How do you handle errors in promises?
26. Explain the concept of currying in JavaScript.
27. What is the purpose of the “reduce” method in JavaScript?
28. What is the difference between “null” and “undefined” in JavaScript?
29. What are the different types of loops in JavaScript?
30. What is the difference between “let,” “const,” and “var” in JavaScript?
31. Explain the concept of event propagation in JavaScript.
32. What are the different ways to manipulate the DOM in JavaScript?
33. What is the purpose of the “localStorage” and “sessionStorage” objects?
34. How do you handle asynchronous operations in JavaScript?
35. What is the purpose of the “forEach” method in JavaScript?
36. What are the differences between “let” and “var” in JavaScript?
37. Explain the concept of memoization in JavaScript.
38. What is the purpose of the “splice” method in JavaScript arrays?
39. What is a generator function in JavaScript?
40. How does JavaScript handle variable scoping?
41. What is the purpose of the “split” method in JavaScript?
42. What is the difference between a deep clone and a shallow clone of an object?
43. Explain the concept of the event delegation pattern.
44. What are the differences between JavaScript’s “null” and “undefined”?
45. What is the purpose of the “arguments” object in JavaScript?
46. What are the different ways to define methods in JavaScript objects?
47. Explain the concept of memoization and its benefits.
48. What is the difference between “slice” and “splice” in JavaScript arrays?
49. What is the purpose of the “apply” and “call” methods in JavaScript?
50. Explain the concept of the event loop in JavaScript and how it handles asynchronous operations.
51. What are arrow functions, and how are they different from regular functions?
52. What is the purpose of the “filter” method in JavaScript?
53. Explain the concept of destructuring in JavaScript.
54. What is a callback hell, and how can it be avoided?
55. What are “promises,” and how do they work in JavaScript?
56. Explain the difference between synchronous and asynchronous JavaScript.
57. What is JSON, and how is it used in JavaScript?
58. How can you remove duplicates from an array in JavaScript?
59. What is the purpose of the “includes” method in JavaScript?
60. How do you handle default values in JavaScript functions?
61. What are template literals, and how are they used?
62. Explain the concept of modules in JavaScript.
63. What is CORS, and why is it important?
64. What is the “fetch” API, and how does it work?
65. Explain the concept of immutability in JavaScript.
66. What is the purpose of the “find” method in JavaScript arrays?
67.

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