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๐Ÿ“ข ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—”๐—น๐—ฒ๐—ฟ๐˜ โ€“ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ ๐˜„๐—ถ๐˜๐—ต ๐—”๐—œ

(No Coding Background Required)

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โค1
๐Ÿ“Š Complete Power BI Syllabus Roadmap (Beginner to Expert) โœจ

๐Ÿ”ฐ Beginner Level:

1. Introduction to Power BI:
  โ€ข  What is Power BI? Components of Power BI
  โ€ข  Power BI Desktop Installation and Interface Overview
2. Data Acquisition:
  โ€ข  Connecting to Various Data Sources (Excel, CSV, Databases, Web)
  โ€ข  Import vs. DirectQuery Mode
3. Power Query Editor:
  โ€ข  Data Transformation and Cleaning (Removing Duplicates, Handling Null Values, Changing Data Types)
  โ€ข  Appending and Merging Queries
  โ€ข  Creating Calculated Columns
4. Data Modeling:
  โ€ข  Creating Relationships between Tables
  โ€ข  Understanding Cardinality and Cross-Filter Direction
5. Basic Visualizations:
  โ€ข  Creating Bar Charts, Line Charts, Pie Charts, Tables, Matrices
  โ€ข  Using Slicers, Filters, and Tooltips
6. Publishing and Sharing:
  * Publishing Reports to Power BI Service
  * Creating Dashboards
  * Sharing Dashboards and Reports with Others
7. Basic Projects: Building a simple Sales Dashboard, Creating a basic Customer Analysis Report

โš™๏ธ Intermediate Level:

1. Advanced DAX:
  โ€ข  Understanding DAX Syntax and Functions
  โ€ข  Creating Measures for Aggregation, Filtering, and Time Intelligence
  โ€ข  Using CALCULATE, FILTER, ALL, and RELATED Functions
2. Advanced Data Modeling:
  โ€ข  Star Schema vs. Snowflake Schema
  โ€ข  Creating Calculated Tables
  โ€ข  Using Hierarchies
3. Advanced Visualizations:
  โ€ข  Creating Map Visuals, Scatter Charts, Gauge Charts, Treemaps
  โ€ข  Using Bookmarks and Buttons for Navigation
  โ€ข  Custom Visuals from AppSource
4. Power BI Service:
  โ€ข  Managing Datasets, Gateways, and Dataflows
  โ€ข  Setting up Scheduled Refreshes
  โ€ข  Row-Level Security (RLS)
5. Dataflows:
  โ€ข  Creating and Managing Dataflows
  โ€ข  Using Dataflows for Data Preparation and Transformation
6. Intermediate Projects: Building an HR Analytics Dashboard, Creating a Financial Statement Report

๐Ÿ† Expert Level:

1. DAX Optimization:
  โ€ข  Identifying and Resolving Performance Bottlenecks in DAX Code
  โ€ข  Using Variables and Iterators Effectively
  โ€ข  Understanding Storage Engine vs. Formula Engine
2. Advanced Data Modeling Techniques:
  โ€ข  Implementing Role-Playing Dimensions
  โ€ข  Handling Many-to-Many Relationships
3. Power BI Embedded:
  โ€ข  Embedding Power BI Reports and Dashboards in Custom Applications
  โ€ข  Using the Power BI REST API
4. Power BI Administration:
  โ€ข  Managing Power BI Tenant Settings
  โ€ข  Monitoring Performance and Usage
  โ€ข  Implementing Data Governance and Security Policies
5. Power BI Premium:
  โ€ข  Understanding Premium Capacity and Features
  โ€ข  Using Aggregations and Incremental Refresh
6. AI and Machine Learning in Power BI:
  โ€ข  Using the AI Visuals (Key Influencers, Decomposition Tree)
  โ€ข  Integrating Custom Machine Learning Models with Power BI
7. Expert Projects: Designing and implementing a comprehensive enterprise-level Power BI solution.

๐Ÿ’ก Bonus: Learn about Power Automate Integration, Power Apps Integration, and Data Storytelling Techniques. Get familiar with new features and updates released by Microsoft regularly.

๐Ÿ‘ Tap โค๏ธ for more
โค1
๐ŸŽ“ ๐—ช๐—ฎ๐—ป๐˜ ๐˜๐—ผ ๐˜€๐˜๐—ฎ๐—ป๐—ฑ ๐—ผ๐˜‚๐˜ ๐—ถ๐—ป ๐—ฝ๐—น๐—ฎ๐—ฐ๐—ฒ๐—บ๐—ฒ๐—ป๐˜๐˜€ ?

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๐Ÿ’ป Learn Frontend + Backend from scratch
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๐ŸŒŸ 2000+ Students Placed
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๐Ÿ’ผ Avg. Rs. 7.4 LPA
๐Ÿš€ 41 LPA Highest Package

๐Ÿ“ˆ Skills = Opportunities = High Salary

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๐Ÿ’ฅ Stop scrolling. Start building yourTech career
โค2
๐Ÿ”ฐ Git & GitHub Roadmap for Beginners
โ”œโ”€โ”€ ๐Ÿง  What is Version Control? Why Git?
โ”œโ”€โ”€ โš™๏ธ Installing Git & Setting up GitHub
โ”œโ”€โ”€ ๐Ÿ“ Git Basics (init, clone, add, commit)
โ”œโ”€โ”€ ๐ŸŒฟ Branching & Merging
โ”œโ”€โ”€ ๐Ÿ”„ Push, Pull, and Fetch
โ”œโ”€โ”€ ๐Ÿง  Understanding Merge Conflicts
โ”œโ”€โ”€ ๐Ÿ”ง .gitignore & Git Configurations
โ”œโ”€โ”€ ๐Ÿงช Working with Remotes (origin, upstream)
โ”œโ”€โ”€ ๐Ÿ“ฆ Tagging & Releases
โ”œโ”€โ”€ ๐Ÿ“œ Git Log, Revert, Reset
โ”œโ”€โ”€ ๐Ÿงช Git & GitHub Projects:
โ”‚ โ”œโ”€โ”€ Portfolio Versioning
โ”‚ โ”œโ”€โ”€ Team Collaboration on a Blog Project
โ”‚ โ”œโ”€โ”€ Open-source Contribution to a Repo

Free Resources to learn Git & GitHub ๐Ÿ‘‡๐Ÿ‘‡

http://GitFluence.com

https://t.me/github_coding

https://whatsapp.com/channel/0029Vawixh9IXnlk7VfY6w43

https://learn.microsoft.com/en-us/training/modules/intro-to-git/

https://docs.github.com/en/get-started/start-your-journey/git-and-github-learning-resources

Join @free4unow_backup for more free resources.

ENJOY LEARNING ๐Ÿ‘๐Ÿ‘
โค6
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โœ… 25+ Powerful AI Tools 
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โš ๏ธ Register  Get Ai Certificate for resume
โค3
Age of Programming Languages๐Ÿ‘จ๐Ÿปโ€๐Ÿ’ป

๐Ÿฆ… Swift (11 years old) (2014)
๐Ÿš€ Kotlin (13 years old) (2011)
๐Ÿฆ€ Rust (14 years old) (2010)
๐Ÿน Go (15 years old) (2009)
๐Ÿ”ท TypeScript (12 years old) (2012)
๐ŸŽธ C# (24 years old) (2000)
๐Ÿ’Ž Ruby (29 years old) (1995)
โ˜• Java (29 years old) (1995)
๐ŸŒ JavaScript (29 years old) (1995)
๐Ÿ˜ PHP (30 years old) (1994)
๐Ÿ Python (34 years old) (1991)
๐Ÿช Perl (37 years old) (1987)
๐Ÿš€ C++ (39 years old) (1985)
๐Ÿ“ฑ Objective-C (40 years old) (1984)
๐Ÿ” Prolog (52 years old) (1972)
๐Ÿ—ฃ๏ธ Smalltalk (52 years old) (1972)
๐Ÿ–ฅ๏ธ C (52 years old) (1972)
๐Ÿ“ Pascal (54 years old) (1970)
๐ŸŽ“ BASIC (60 years old) (1964)
๐Ÿ’ผ COBOL (65 years old) (1959)
๐Ÿค– Lisp (66 years old) (1958)
๐Ÿ“œ Fortran (67 years old) (1957)
โค5
๐Ÿ—‚ 14 free Mathematics Course for AI

1. Mathematics for Computer Science (MIT)
https://www.youtube.com/playlist?list=PLUl4u3cNGP61VNvICqk2HXJTonnKgAc9d

2. Single Variable Calculus (MIT)
https://www.youtube.com/playlist?list=PL590CCC2BC5AF3BC1

3. Multivariable Calculus (MIT)
https://www.youtube.com/playlist?list=PL4C4C8A7D06566F38

4. Introduction to Probability (MIT)
https://www.youtube.com/playlist?list=PLUl4u3cNGP60hI9ATjSFgLZpbNJ7myAg6

5. Statistics for Applications (MIT)
https://www.youtube.com/playlist?list=PLUl4u3cNGP60uVBMaoNERc6knT_MgPKS0

6. Probability and Statistics (MIT)
https://www.youtube.com/playlist?list=PLl8XY7QVSa4aUyZAtL2Hlf_mx3LaSix9B

7. Linear Algebra (MIT)
https://www.youtube.com/playlist?list=PL221E2BBF13BECF6C

8. Matrix Methods in Data Analysis, Signal Processing, and Machine Learning (MIT)
https://youtube.com/playlist?list=PLUl4u3cNGP63oMNUHXqIUcrkS2PivhN3k&si=V3OqnttNNB30Nue8

9. Matrix Calculus For Machine Learning And Beyond (MIT)
https://youtube.com/playlist?list=PLUl4u3cNGP62EaLLH92E_VCN4izBKK6OE&si=-ri6Wx7_ijUvlRBI

10. Mathematics for Machine Learning Specialization (Imperial College London)
https://www.youtube.com/watch?v=0z6AhrOSrRs

11. Math for Machine Learning (Weights & Biases)
https://youtube.com/playlist?list=PLD80i8An1OEGZ2tYimemzwC3xqkU0jKUg&si=zLmx4HA6YLLYlt-_

12. Essence of linear algebra (3Blue1Brown)
https://youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab&si=avi8v0JoaXrNZNpD

13. Essence of calculus (3Blue1Brown)
https://youtube.com/playlist?list=PLZHQObOWTQDMsr9K-rj53DwVRMYO3t5Yr&si=x5sWaXSfL4on_MEM

14. Differential equations (3Blue1Brown)
https://youtube.com/playlist?list=PLZHQObOWTQDNPOjrT6KVlfJuKtYTftqH6&si=-ID27MWnKJC1GV5T

Save & React with โ™ฅ๏ธ.
โค5
Freshers are getting paid 10 - 15 Lakhs by learning AI & ML skill

๐Ÿ“ข ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—”๐—น๐—ฒ๐—ฟ๐˜ โ€“ ๐—”๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ถ๐—ฎ๐—น ๐—œ๐—ป๐˜๐—ฒ๐—น๐—น๐—ถ๐—ด๐—ฒ๐—ป๐—ฐ๐—ฒ ๐—ฎ๐—ป๐—ฑ ๐— ๐—ฎ๐—ฐ๐—ต๐—ถ๐—ป๐—ฒ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด

Open for all. No Coding Background Required

๐Ÿ“Š Learn AI/ML from Scratch
๐Ÿค– AI Tools & Automation
๐Ÿ“ˆ Build real world Projects for job ready portfolio
๐ŸŽ“ Vishlesan i-Hub, IIT Patna Certification Program

๐Ÿ”ฅDeadline :- 12th April

๐—”๐—ฝ๐—ฝ๐—น๐˜† ๐—ก๐—ผ๐˜„๐Ÿ‘‡ :- 

https://pdlink.in/41ZttiU
.
Get Placement Assistance With 5000+ Companies from Masai School
โค5
๐—ง๐—ผ๐—ฝ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐˜€ ๐˜๐—ผ ๐—Ÿ๐—ฎ๐—ป๐—ฑ ๐—ฎ ๐—›๐—ถ๐—ด๐—ต-๐—ฃ๐—ฎ๐˜†๐—ถ๐—ป๐—ด ๐—๐—ผ๐—ฏ ๐—ถ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฒ๐Ÿ”ฅ

Learn from scratch โ†’ Build real projects โ†’ Get placed

โœ… 2000+ Students Already Placed
๐Ÿค 500+ Hiring Partners
๐Ÿ’ผ Avg Salary: โ‚น7.4 LPA
๐Ÿš€ Highest Package: โ‚น41 LPA

Fullstack :- https://pdlink.in/4hO7rWY

Data Analytics :- https://pdlink.in/4fdWxJB

๐Ÿ“ˆ Donโ€™t just scrollโ€ฆ Start today & secure your 2026 job NOW
๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€, ๐——๐—ฎ๐˜๐—ฎ ๐—ฆ๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ ๐˜„๐—ถ๐˜๐—ต ๐—”๐—œ ๐—ฎ๐—ฟ๐—ฒ ๐—ต๐—ถ๐—ด๐—ต๐—น๐˜† ๐—ฑ๐—ฒ๐—บ๐—ฎ๐—ป๐—ฑ๐—ถ๐—ป๐—ด ๐—ถ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฒ๐Ÿ˜

Learn Data Science and AI Taught by Top Tech professionals

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Hurry Up ๐Ÿƒโ€โ™‚๏ธ! Limited seats are available.
โค3
List of most asked Programming Interview Questions.

Are you preparing for a coding interview? This tweet is for you. It contains a list of the most asked interview questions from each topic.

Arrays

- How is an array sorted using quicksort?
- How do you reverse an array?
- How do you remove duplicates from an array?
- How do you find the 2nd largest number in an unsorted integer array?

Linked Lists

- How do you find the length of a linked list?
- How do you reverse a linked list?
- How do you find the third node from the end?
- How are duplicate nodes removed in an unsorted linked list?

Strings

- How do you check if a string contains only digits?
- How can a given string be reversed?
- How do you find the first non-repeated character?
- How do you find duplicate characters in strings?

Binary Trees

- How are all leaves of a binary tree printed?
- How do you check if a tree is a binary search tree?
- How is a binary search tree implemented?
- Find the lowest common ancestor in a binary tree?

Graph

- How to detect a cycle in a directed graph?
- How to detect a cycle in an undirected graph?
- Find the total number of strongly connected components?
- Find whether a path exists between two nodes of a graph?
- Find the minimum number of swaps required to sort an array.

Dynamic Programming

1. Find the longest common subsequence?
2. Find the longest common substring?
3. Coin change problem?
4. Box stacking problem?
5. Count the number of ways to cover a distance?

Best DSA RESOURCES: https://topmate.io/coding/886874

All the best ๐Ÿ‘๐Ÿ‘
โค3
Many people still aren't fully utilizing the power of Telegram.

There are numerous channels on Telegram that can help you find the latest job and internship opportunities?

Here are some of my top channel recommendations to help you get started ๐Ÿ‘‡๐Ÿ‘‡

Latest Jobs & Internships: https://t.me/getjobss

Jobs Preparation Resources:
https://t.me/jobinterviewsprep

Data Science Jobs:
https://t.me/datasciencej

Interview Tips:
https://t.me/Interview_Jobs

Data Analyst Jobs:
https://t.me/jobs_SQL

AI Jobs:
https://t.me/AIjobz

Remote Jobs:
https://t.me/jobs_us_uk

FAANG Jobs:
https://t.me/FAANGJob

Software Developer Jobs: https://t.me/internshiptojobs

If you found this helpful, donโ€™t forget to like, share, and follow for more resources that can boost your career journey!

Let me know if you know any other useful telegram channel

ENJOY LEARNING๐Ÿ‘๐Ÿ‘
โค2๐Ÿ‘1
๐—”๐—œ/๐— ๐—Ÿ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ฃ๐—ฟ๐—ผ๐—ด๐—ฟ๐—ฎ๐—บ ๐—•๐˜†  ๐—ฉ๐—ถ๐˜€๐—ต๐—น๐—ฒ๐˜€๐—ฎ๐—ป ๐—ถ-๐—›๐˜‚๐—ฏ, ๐—œ๐—œ๐—ง ๐—ฃ๐—ฎ๐˜๐—ป๐—ฎ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐Ÿ˜

Freshers are getting paid 10 - 15 Lakhs by learning AI & ML skill

Upgrade your career with a beginner-friendly AI/ML certification.

๐Ÿ‘‰Open for all. No Coding Background Required
๐Ÿ’ป Learn AI/ML from Scratch
๐ŸŽ“ Build real world Projects for job ready portfolio 

๐Ÿ”ฅDeadline :- 19th April

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https://pdlink.in/41ZttiU
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Get Placement Assistance With 5000+ Companies
โค2
๐—™๐˜‚๐—น๐—น๐˜€๐˜๐—ฎ๐—ฐ๐—ธ ๐——๐—ฒ๐˜ƒ๐—ฒ๐—น๐—ผ๐—ฝ๐—บ๐—ฒ๐—ป๐˜ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ช๐—ถ๐˜๐—ต ๐—š๐—ฒ๐—ป๐—”๐—œ๐Ÿ˜

Curriculum designed and taught by alumni from IITs & leading tech companies, with practical GenAI applications.

* 2000+ Students Placed
* 41LPA Highest Salary
* 500+ Partner Companies
- 7.4 LPA Avg Salary

๐—ฅ๐—ฒ๐—ด๐—ถ๐˜€๐˜๐—ฒ๐—ฟ ๐—ก๐—ผ๐˜„๐Ÿ‘‡:-

๐Ÿ”น Online :- https://pdlink.in/4hO7rWY

๐Ÿ”น Hyderabad :- https://pdlink.in/4cJUWtx

๐Ÿ”น Pune :-  https://pdlink.in/3YA32zi

๐Ÿ”น Noida :-  https://linkpd.in/NoidaFSD

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โค1
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๐ŸŒ Web Design Tools & Their Use Cases ๐ŸŽจ๐ŸŒ

๐Ÿ”น Figma โžœ Collaborative UI/UX prototyping and wireframing for teams
๐Ÿ”น Adobe XD โžœ Interactive design mockups and user experience flows
๐Ÿ”น Sketch โžœ Vector-based interface design for Mac users and plugins
๐Ÿ”น Canva โžœ Drag-and-drop graphics for quick social media and marketing assets
๐Ÿ”น Adobe Photoshop โžœ Image editing, compositing, and raster graphics manipulation
๐Ÿ”น Adobe Illustrator โžœ Vector illustrations, logos, and scalable icons
๐Ÿ”น InVision Studio โžœ High-fidelity prototyping with animations and transitions
๐Ÿ”น Webflow โžœ No-code visual website building with responsive layouts
๐Ÿ”น Framer โžœ Interactive prototypes and animations for advanced UX
๐Ÿ”น Tailwind CSS โžœ Utility-first styling for custom, responsive web designs
๐Ÿ”น Bootstrap โžœ Pre-built components for rapid mobile-first layouts
๐Ÿ”น Material Design โžœ Google's UI guidelines for consistent Android/web interfaces
๐Ÿ”น Principle โžœ Micro-interactions and motion design for app prototypes
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