Git:
What it does: Git helps you keep track of changes you make to files, like a time
machine for your work.
Why it's useful: It allows multiple people to work on the same project without
overwriting each other's work.
GitHub:
What it does: GitHub is like a website where you can store your project's files and
track changes using Git.
Why it's useful: It lets you work with others easily, keep backups of your work online,
and showcase your projects.
Git Merge vs Git Rebaseπ https://t.me/techpsyche/734
What it does: Git helps you keep track of changes you make to files, like a time
machine for your work.
Why it's useful: It allows multiple people to work on the same project without
overwriting each other's work.
GitHub:
What it does: GitHub is like a website where you can store your project's files and
track changes using Git.
Why it's useful: It lets you work with others easily, keep backups of your work online,
and showcase your projects.
Git Merge vs Git Rebaseπ https://t.me/techpsyche/734
Kenyaπ°πͺNigeriaπ³π¬Egyptπͺπ¬South AfricaπΏπ¦
Senior Data Engineer Job at Yassir
- GCP
- PySpark
- SQL
- NoSQL
- Programming
Apply Here:
https://kenyatrends.co.ke/v1bm
Global Tech Jobs Hereπ
https://t.me/techpsyche
SHARE WITH YOUR FRIENDSπ₯³π₯³
Senior Data Engineer Job at Yassir
- GCP
- PySpark
- SQL
- NoSQL
- Programming
Apply Here:
https://kenyatrends.co.ke/v1bm
Global Tech Jobs Hereπ
https://t.me/techpsyche
SHARE WITH YOUR FRIENDSπ₯³π₯³
β
Cryptocurrencies look to offer several benefits over traditional money.
β‘οΈThese include:
β‘οΈSpeed: With cryptocurrencies, sending money β or value β across regions or continents happens in a few minutes. This trumps traditional cash, which takes hours to days in some cases.
β‘οΈSecurity: Cryptocurrencies run on blockchains, which are distributed and decentralized. Since they are not centralized, thereβs no single point of failure. This makes the blockchain harder to corrupt or hack.
β‘οΈCensorship-resistant: Anyone can use cryptocurrencies. They offer users financial freedom. No government or central authority can censor or reverse a transaction once itβs completed
Beginner's Guide to Cryptocurrency: https://t.me/techpsyche/703
Cryptocurrency Mining: https://t.me/techpsyche/663
More Resources Here:
https://whatsapp.com/channel/0029VajB00n0LKZ7cSloGR1M
#crypto #web3 #blockchain #finance
β‘οΈThese include:
β‘οΈSpeed: With cryptocurrencies, sending money β or value β across regions or continents happens in a few minutes. This trumps traditional cash, which takes hours to days in some cases.
β‘οΈSecurity: Cryptocurrencies run on blockchains, which are distributed and decentralized. Since they are not centralized, thereβs no single point of failure. This makes the blockchain harder to corrupt or hack.
β‘οΈCensorship-resistant: Anyone can use cryptocurrencies. They offer users financial freedom. No government or central authority can censor or reverse a transaction once itβs completed
Beginner's Guide to Cryptocurrency: https://t.me/techpsyche/703
Cryptocurrency Mining: https://t.me/techpsyche/663
More Resources Here:
https://whatsapp.com/channel/0029VajB00n0LKZ7cSloGR1M
#crypto #web3 #blockchain #finance
ππΌ ππΌπ πππ³π³π²πΏ π³πΏπΌπΊ ππΊπ½πΌπππ²πΏ π¦ππ»π±πΏπΌπΊπ²?
Always believing that you must know everything before doing?
Adjust your viewpoint.
Be a smart learner!
t.me/techpsyche
Always believing that you must know everything before doing?
Adjust your viewpoint.
Be a smart learner!
t.me/techpsyche
β€2
Kenyaπ°πͺNigeriaπ³π¬Egypt
Senior DevOps Engineer Job at Yassir
- GCP/AWS/Azure
- CI/CD
- Linux
- Python & Other Scripting Languages
- SQL or other Database Experience
Apply Here:
https://kenyatrends.co.ke/qj7v
Global Tech Jobs Hereπ
https://t.me/techpsyche
SHARE WITH YOUR FRIENDSπ₯³π₯³
Senior DevOps Engineer Job at Yassir
- GCP/AWS/Azure
- CI/CD
- Linux
- Python & Other Scripting Languages
- SQL or other Database Experience
Apply Here:
https://kenyatrends.co.ke/qj7v
Global Tech Jobs Hereπ
https://t.me/techpsyche
SHARE WITH YOUR FRIENDSπ₯³π₯³
Are you excited to learn multiple programming languages at a time? Please don't be π
it feels amazing to learn and know different programming languages. you can boost your job hunting activity or increase the number of projects you can participate. but it comes with a cost.
learning different programming languages at a time is a bad and time consuming move. here are some points to consider
Weak Skills, Not Deep Expertise: Spreading yourself across multiple languages can mean a surface-level understanding of each. The real power comes from mastering a single language and its problem-solving capabilities.
So, Focus on building a strong foundation in one language at a time. Once you're comfortable, you can gradually add new languages. This way, you'll have a solid base to build on and avoid the pitfalls of context overload and weak skills.
t.me/techpsyche
it feels amazing to learn and know different programming languages. you can boost your job hunting activity or increase the number of projects you can participate. but it comes with a cost.
learning different programming languages at a time is a bad and time consuming move. here are some points to consider
Weak Skills, Not Deep Expertise: Spreading yourself across multiple languages can mean a surface-level understanding of each. The real power comes from mastering a single language and its problem-solving capabilities.
So, Focus on building a strong foundation in one language at a time. Once you're comfortable, you can gradually add new languages. This way, you'll have a solid base to build on and avoid the pitfalls of context overload and weak skills.
t.me/techpsyche
Steve Jobs: The Art of Starting Over
π Jobs was fired from Apple, the company he co-founded, but returned to make it one of the most valuable brands in the world.
π Setbacks are setups for comebacks.
t.me/techpsyche
π Jobs was fired from Apple, the company he co-founded, but returned to make it one of the most valuable brands in the world.
π Setbacks are setups for comebacks.
t.me/techpsyche
π Key Skills Every Developer Needs in 2025
- Problem-Solving: Coding is all about creative solutions.
- Adaptability: Tech evolves fastβstay flexible!
- Collaboration: Teamwork makes the dream work.
β¨ Master these and thrive in any tech field!
t.me/techpsyche
- Problem-Solving: Coding is all about creative solutions.
- Adaptability: Tech evolves fastβstay flexible!
- Collaboration: Teamwork makes the dream work.
β¨ Master these and thrive in any tech field!
t.me/techpsyche
π Cursor Now Free for Students
Cursor is offering 12 months of free access to its platform for students and high schoolers aged 16 and up.
π How to Get It:
β’ Sign up on the platform
β’ Upload a photo of your student ID or school document
β’ High school IDs are accepted too, as long as youβre 16+
β’ Get instant access for a full year
π° Already have a paid plan?
No worries β remaining funds will be refunded automatically to the original payment method.
β± Quick and Easy:
Approval usually takes just a few minutes, with almost no rejections according to user feedback.
π Apply now β cursor.com/students
Follow t.me/techpsyche for more updates!
Cursor is offering 12 months of free access to its platform for students and high schoolers aged 16 and up.
π How to Get It:
β’ Sign up on the platform
β’ Upload a photo of your student ID or school document
β’ High school IDs are accepted too, as long as youβre 16+
β’ Get instant access for a full year
π° Already have a paid plan?
No worries β remaining funds will be refunded automatically to the original payment method.
β± Quick and Easy:
Approval usually takes just a few minutes, with almost no rejections according to user feedback.
π Apply now β cursor.com/students
Follow t.me/techpsyche for more updates!
Forwarded from Mobile Dev Resources . Android . iOS . Flutter . Kotlin . Swift . Java . React Native
Compose Multiplatform 1.8.0 Released: Compose Multiplatform for iOS Is Stable and Production-Ready
A major milestone in the Kotlin Multiplatform journey: the release of Compose Multiplatform 1.8.0, which brings Compose for iOS to Stable. With this update, Kotlin Multiplatform becomes a complete solution for mobile development, enabling flexible code sharing across both business logic and UI without compromising app quality or losing control over platform-specific capabilities.
And finally, compose multiplatform has been stabilized alongside kotlin multiplatform. Now programmers can share both logic and UI between platforms.
https://www.jetbrains.com/compose-multiplatform/
_________________
Follow https://t.me/mobiledevresourcestp for more updates!
A major milestone in the Kotlin Multiplatform journey: the release of Compose Multiplatform 1.8.0, which brings Compose for iOS to Stable. With this update, Kotlin Multiplatform becomes a complete solution for mobile development, enabling flexible code sharing across both business logic and UI without compromising app quality or losing control over platform-specific capabilities.
And finally, compose multiplatform has been stabilized alongside kotlin multiplatform. Now programmers can share both logic and UI between platforms.
https://www.jetbrains.com/compose-multiplatform/
_________________
Follow https://t.me/mobiledevresourcestp for more updates!
Forwarded from Artificial Intelligence Resources TP . AI Tools . AI Updates
π€ The only 7 AI tools you need to 10x your productivity in seconds. π€
1. YouTube Summaries
β http://eightify.app
2. Photo Editor
β http://picwish.ai
3. Website Builder
β http://mixo.io
4. Voice Notes
β http://vribble.ai
5. AI Tools
β https://t.me/airesourcestp
6. Text Notes
β http://albus.org
7. Text-to-Video
β http://pika.art
8. Music Production
β http://wavtool.com
AI Tools: https://t.me/airesourcestp
WhatsApp Channel:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
1. YouTube Summaries
β http://eightify.app
2. Photo Editor
β http://picwish.ai
3. Website Builder
β http://mixo.io
4. Voice Notes
β http://vribble.ai
5. AI Tools
β https://t.me/airesourcestp
6. Text Notes
β http://albus.org
7. Text-to-Video
β http://pika.art
8. Music Production
β http://wavtool.com
AI Tools: https://t.me/airesourcestp
WhatsApp Channel:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Data Analyst vs Data Engineer vs Data Scientist β
Skills required to become a Data Analyst π
- Advanced Excel: Proficiency in Excel is crucial for data manipulation, analysis, and creating dashboards.
- SQL/Oracle: SQL is essential for querying databases to extract, manipulate, and analyze data.
- Python/R: Basic scripting knowledge in Python or R for data cleaning, analysis, and simple automations.
- Data Visualization: Tools like Power BI or Tableau for creating interactive reports and dashboards.
- Statistical Analysis: Understanding of basic statistical concepts to analyze data trends and patterns.
Skills required to become a Data Engineer: π
- Programming Languages: Strong skills in Python or Java for building data pipelines and processing data.
- SQL and NoSQL: Knowledge of relational databases (SQL) and non-relational databases (NoSQL) like Cassandra or MongoDB.
- Big Data Technologies: Proficiency in Hadoop, Hive, Pig, or Spark for processing and managing large data sets.
- Data Warehousing: Experience with tools like Amazon Redshift, Google BigQuery, or Snowflake for storing and querying large datasets.
- ETL Processes: Expertise in Extract, Transform, Load (ETL) tools and processes for data integration.
Skills required to become a Data Scientist: π
- Advanced Tools: Deep knowledge of R, Python, or SAS for statistical analysis and data modeling.
- Machine Learning Algorithms: Understanding and implementation of algorithms using libraries like scikit-learn, TensorFlow, and Keras.
- SQL and NoSQL: Ability to work with both structured and unstructured data using SQL and NoSQL databases.
- Data Wrangling & Preprocessing: Skills in cleaning, transforming, and preparing data for analysis.
- Statistical and Mathematical Modeling: Strong grasp of statistics, probability, and mathematical techniques for building predictive models.
- Cloud Computing: Familiarity with AWS, Azure, or Google Cloud for deploying machine learning models.
Bonus Skills Across All Roles:
- Data Visualization: Mastery in tools like Power BI and Tableau (https://t.me/PowerBI_analyst) to visualize and communicate insights effectively.
- Advanced Statistics: Strong statistical foundation to interpret and validate data findings.
- Domain Knowledge: Industry-specific knowledge (e.g., finance, healthcare) to apply data insights in context.
- Communication Skills: Ability to explain complex technical concepts to non-technical stakeholders.
Resources ππ
Data Analyst: (https://t.me/dataanalysisresourcestp)
Data Engineer: (https://t.me/datascienceresourcestp/39)
Data Scientist: (https://t.me/datascienceresourcestp)
Like this post for more content like this πβ₯οΈ
Share with credits: https://t.me/techpsyche
Hope it helps :)
Follow This WhatsApp Channel for More Resources:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Skills required to become a Data Analyst π
- Advanced Excel: Proficiency in Excel is crucial for data manipulation, analysis, and creating dashboards.
- SQL/Oracle: SQL is essential for querying databases to extract, manipulate, and analyze data.
- Python/R: Basic scripting knowledge in Python or R for data cleaning, analysis, and simple automations.
- Data Visualization: Tools like Power BI or Tableau for creating interactive reports and dashboards.
- Statistical Analysis: Understanding of basic statistical concepts to analyze data trends and patterns.
Skills required to become a Data Engineer: π
- Programming Languages: Strong skills in Python or Java for building data pipelines and processing data.
- SQL and NoSQL: Knowledge of relational databases (SQL) and non-relational databases (NoSQL) like Cassandra or MongoDB.
- Big Data Technologies: Proficiency in Hadoop, Hive, Pig, or Spark for processing and managing large data sets.
- Data Warehousing: Experience with tools like Amazon Redshift, Google BigQuery, or Snowflake for storing and querying large datasets.
- ETL Processes: Expertise in Extract, Transform, Load (ETL) tools and processes for data integration.
Skills required to become a Data Scientist: π
- Advanced Tools: Deep knowledge of R, Python, or SAS for statistical analysis and data modeling.
- Machine Learning Algorithms: Understanding and implementation of algorithms using libraries like scikit-learn, TensorFlow, and Keras.
- SQL and NoSQL: Ability to work with both structured and unstructured data using SQL and NoSQL databases.
- Data Wrangling & Preprocessing: Skills in cleaning, transforming, and preparing data for analysis.
- Statistical and Mathematical Modeling: Strong grasp of statistics, probability, and mathematical techniques for building predictive models.
- Cloud Computing: Familiarity with AWS, Azure, or Google Cloud for deploying machine learning models.
Bonus Skills Across All Roles:
- Data Visualization: Mastery in tools like Power BI and Tableau (https://t.me/PowerBI_analyst) to visualize and communicate insights effectively.
- Advanced Statistics: Strong statistical foundation to interpret and validate data findings.
- Domain Knowledge: Industry-specific knowledge (e.g., finance, healthcare) to apply data insights in context.
- Communication Skills: Ability to explain complex technical concepts to non-technical stakeholders.
Resources ππ
Data Analyst: (https://t.me/dataanalysisresourcestp)
Data Engineer: (https://t.me/datascienceresourcestp/39)
Data Scientist: (https://t.me/datascienceresourcestp)
Like this post for more content like this πβ₯οΈ
Share with credits: https://t.me/techpsyche
Hope it helps :)
Follow This WhatsApp Channel for More Resources:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Educate yourself online for free:
1. π€ ChatGPT
2. πΊ YouTube
3. π§ Claude 3
4. π W3School
5. π Telegram
6. π Udemy
7. π» FreeCodeCamp
8. π MDN (Mozilla Developer Network)
9. π¨ DataSimplifier
10. π Bard
11. π Udacity
12. π LinkedIn Learning
13. π MIT Open Courseware
14. π« Stanford Online
15. π₯ Perplexity AI
16. βΏοΈ Khan Academy
Join https://t.me/techpsyche for More Resources:
1. π€ ChatGPT
2. πΊ YouTube
3. π§ Claude 3
4. π W3School
5. π Telegram
6. π Udemy
7. π» FreeCodeCamp
8. π MDN (Mozilla Developer Network)
9. π¨ DataSimplifier
10. π Bard
11. π Udacity
12. π LinkedIn Learning
13. π MIT Open Courseware
14. π« Stanford Online
15. π₯ Perplexity AI
16. βΏοΈ Khan Academy
Join https://t.me/techpsyche for More Resources:
Forwarded from Free Courses: Google | Microsoft | Udemy | Coursera | IBM | NVIDIA | LinkedIn Learning | MIT | Udemy Coupons & PDF Books
8th May 2025 |β¨JS Free Udemy Coupons New Coupons Added
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β **Free Certificate upon Completion** π₯³
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#01 React Crash Course: From Zero to Hero
https://techurl.in/AqTkS
#02 React.js AI Chatbot built with ChatGPT, Gemini and DeepSeek
https://techurl.in/IKYFm
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https://techurl.in/IAqqB
#04 AngularJS Essentials - From Beginner to Advanced Developer
https://techurl.in/gcaFz
#05 JavaScript, jQuery & TypeScript: Full-Stack Web Development
https://techurl.in/zcFcq
#06 ReactJs - The Complete ReactJs Course For Beginners
https://techurl.in/FLVxq
#07 JavaScript Projects Course Build 20 Projects in 20 Days
https://techurl.in/rIwnd
#08 Hands On React JS From Beginner to Expert
https://techurl.in/zRLOq
#09 JavaScript 10 Projects in 10 Days Course for Beginners
https://techurl.in/bfgcw
#10 Build 11 JavaScript Application and Web JavaScript BootCamp
https://techurl.in/ShvdO
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**Udemy Coupons Expire After 1000 Redemptions**
https://tinyurl.com/udemycouponsfree
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β **Free Certificate upon Completion** π₯³
βββββββββββββββββββββ
#01 React Crash Course: From Zero to Hero
https://techurl.in/AqTkS
#02 React.js AI Chatbot built with ChatGPT, Gemini and DeepSeek
https://techurl.in/IKYFm
#03 NestJS Zero to Hero - Modern backend Development
https://techurl.in/IAqqB
#04 AngularJS Essentials - From Beginner to Advanced Developer
https://techurl.in/gcaFz
#05 JavaScript, jQuery & TypeScript: Full-Stack Web Development
https://techurl.in/zcFcq
#06 ReactJs - The Complete ReactJs Course For Beginners
https://techurl.in/FLVxq
#07 JavaScript Projects Course Build 20 Projects in 20 Days
https://techurl.in/rIwnd
#08 Hands On React JS From Beginner to Expert
https://techurl.in/zRLOq
#09 JavaScript 10 Projects in 10 Days Course for Beginners
https://techurl.in/bfgcw
#10 Build 11 JavaScript Application and Web JavaScript BootCamp
https://techurl.in/ShvdO
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Forwarded from Free Courses: Google | Microsoft | Udemy | Coursera | IBM | NVIDIA | LinkedIn Learning | MIT | Udemy Coupons & PDF Books
8th May 2025 |β¨App Dev Free Udemy Coupons New Coupons Added
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β **Free Certificate upon Completion** π₯³
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#01 Flutter Masterclass - Your Complete Guide to App Development
https://techurl.in/tudDI
#02 Python App Development Masterclass App Development Bootcamp
https://techurl.in/BQYwO
#03 Complete Java Programming Bootcamp: Learn to Code in Java
https://techurl.in/aIHrh
#04 Flutter REST Movie App: Master Flutter REST API Development
https://techurl.in/vXsIh
#05 Build a Quiz App with Java on Android Studio Beginner Course
https://techurl.in/dQrlM
#06 Dart & Flutter | The Complete Flutter Development Course
https://techurl.in/xhlCe
#07 Build 8 Python Apps Games and Web Application Python Master
https://techurl.in/ZPlaG
#08 Android apps with artificial Intelligence
https://techurl.in/hRRTu
#09 Flutter & Firebase Chat App: Master Flutter and Firebase
https://techurl.in/bgSxM
#10 Flutter UI Bootcamp | Build Beautiful Apps using Flutter
https://techurl.in/kdgWH
#11 Build A Chat Application With Firebase, Flutter and Provider
https://techurl.in/ULaBx
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β **Free Certificate upon Completion** π₯³
βββββββββββββββββββββ
#01 Flutter Masterclass - Your Complete Guide to App Development
https://techurl.in/tudDI
#02 Python App Development Masterclass App Development Bootcamp
https://techurl.in/BQYwO
#03 Complete Java Programming Bootcamp: Learn to Code in Java
https://techurl.in/aIHrh
#04 Flutter REST Movie App: Master Flutter REST API Development
https://techurl.in/vXsIh
#05 Build a Quiz App with Java on Android Studio Beginner Course
https://techurl.in/dQrlM
#06 Dart & Flutter | The Complete Flutter Development Course
https://techurl.in/xhlCe
#07 Build 8 Python Apps Games and Web Application Python Master
https://techurl.in/ZPlaG
#08 Android apps with artificial Intelligence
https://techurl.in/hRRTu
#09 Flutter & Firebase Chat App: Master Flutter and Firebase
https://techurl.in/bgSxM
#10 Flutter UI Bootcamp | Build Beautiful Apps using Flutter
https://techurl.in/kdgWH
#11 Build A Chat Application With Firebase, Flutter and Provider
https://techurl.in/ULaBx
βββββββββββββββββββββ
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The Untold Truth About Junior Data Analyst Interviews (From Someone Whoβs Seen It All)
Guys, letβs cut through the noise. Most companies arenβt testing how many fancy tools you knowβtheyβre testing how you think! Hereβs what you really need to focus on:
SQL Interview Round
WHAT YOU THINK THEY WANT:
βWrite the most complex SQL queries!β
WHAT THEY ACTUALLY TEST:
Can you clean messy data?
Do you handle NULL values logically?
How do you deal with duplicates?
Can you explain what you did, step-by-step?
Do you verify your results?
REALISTIC QUESTIONS YOUβLL FACE:
1οΈβ£ Find duplicate orders in a sales table.
2οΈβ£ Calculate monthly revenue for the past year.
3οΈβ£ Identify the top 10 customers by revenue.
Excel Interview Round
WHAT YOU THINK THEY WANT:
βShow off crazy Excel skills with macros and VBA.β
WHAT THEY REALLY WANT TO SEE:
Your ability to use VLOOKUP/XLOOKUP.
Comfort with Pivot Tables for summarization.
Your knack for creating basic formulas for data cleaning.
A logical approach to tackling Excel problems.
REALISTIC TASKS:
β Merge two datasets using VLOOKUP.
β Summarize sales trends in a Pivot Table.
β Clean up inconsistent text fields (hello, TRIM function).
Business Case Analysis
WHAT YOU THINK THEY WANT:
βBuild a mind-blowing dashboard or deliver complex models.β
WHAT THEY ACTUALLY EVALUATE:
Can you break down the problem into manageable parts?
Do you ask smart, relevant questions?
Is your analysis focused on business outcomes?
How clearly can you present your findings?
What You'll Definitely Face
1. The βData Messβ Scenario
Theyβll hand you a messy dataset with:
Missing data, duplicates, and weird formats.
No clear instructions.
They watch:
π How you approach the problem.
π If you spot inconsistencies.
π The steps you take to clean and structure data.
2. The βExplain Your Analysisβ Challenge
Theyβll say:
βWalk us through what you did and why.β
Theyβre looking for:
Clarity in communication.
Your thought process.
The connection between your work and the business context.
How to Stand Out in Interviews
1. Nail the Basics
SQL: Focus on joins, filtering, grouping, and aggregating.
Excel: Get comfortable with lookups, pivots, and cleaning techniques.
Data Cleaning: Practice handling real-world messy datasets.
2. Understand the Business
Research their industry and common metrics (e.g., sales, churn rate).
Know basic KPIs they might ask about.
Prepare thoughtful, strategic questions.
3. Practice Real Scenarios
πΉ Analyze trends: Monthly revenue, churn analysis.
πΉ Segment customers: Who are your top spenders?
πΉ Evaluate campaigns: Which marketing effort drove the best ROI?
Reality Check: What Really Matters
π How you think through a problem.
π How you communicate your insights.
π How you connect your work to business goals.
π« What doesnβt matter?
Writing overly complex SQL.
Knowing every Excel formula.
Advanced machine learning knowledge (for most junior roles).
Pro Tip: Stay calm, ask questions, and show youβre eager to solve problems. Your mindset is just as important as your technical skills!
I know it's a very long post but it'll be worth the efforts I took even if it helps a single person. Give it a like if you want me to continue posting such detailed posts.
I have curated best top-notch Data Analytics Resources ππ
https://topmate.io/learning_resources/1456762
Like this post if you want me to post more useful content β€οΈ
Hope it helps :)
ENJOY LEARNING ππ
https://t.me/techpsyche
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Guys, letβs cut through the noise. Most companies arenβt testing how many fancy tools you knowβtheyβre testing how you think! Hereβs what you really need to focus on:
SQL Interview Round
WHAT YOU THINK THEY WANT:
βWrite the most complex SQL queries!β
WHAT THEY ACTUALLY TEST:
Can you clean messy data?
Do you handle NULL values logically?
How do you deal with duplicates?
Can you explain what you did, step-by-step?
Do you verify your results?
REALISTIC QUESTIONS YOUβLL FACE:
1οΈβ£ Find duplicate orders in a sales table.
2οΈβ£ Calculate monthly revenue for the past year.
3οΈβ£ Identify the top 10 customers by revenue.
Excel Interview Round
WHAT YOU THINK THEY WANT:
βShow off crazy Excel skills with macros and VBA.β
WHAT THEY REALLY WANT TO SEE:
Your ability to use VLOOKUP/XLOOKUP.
Comfort with Pivot Tables for summarization.
Your knack for creating basic formulas for data cleaning.
A logical approach to tackling Excel problems.
REALISTIC TASKS:
β Merge two datasets using VLOOKUP.
β Summarize sales trends in a Pivot Table.
β Clean up inconsistent text fields (hello, TRIM function).
Business Case Analysis
WHAT YOU THINK THEY WANT:
βBuild a mind-blowing dashboard or deliver complex models.β
WHAT THEY ACTUALLY EVALUATE:
Can you break down the problem into manageable parts?
Do you ask smart, relevant questions?
Is your analysis focused on business outcomes?
How clearly can you present your findings?
What You'll Definitely Face
1. The βData Messβ Scenario
Theyβll hand you a messy dataset with:
Missing data, duplicates, and weird formats.
No clear instructions.
They watch:
π How you approach the problem.
π If you spot inconsistencies.
π The steps you take to clean and structure data.
2. The βExplain Your Analysisβ Challenge
Theyβll say:
βWalk us through what you did and why.β
Theyβre looking for:
Clarity in communication.
Your thought process.
The connection between your work and the business context.
How to Stand Out in Interviews
1. Nail the Basics
SQL: Focus on joins, filtering, grouping, and aggregating.
Excel: Get comfortable with lookups, pivots, and cleaning techniques.
Data Cleaning: Practice handling real-world messy datasets.
2. Understand the Business
Research their industry and common metrics (e.g., sales, churn rate).
Know basic KPIs they might ask about.
Prepare thoughtful, strategic questions.
3. Practice Real Scenarios
πΉ Analyze trends: Monthly revenue, churn analysis.
πΉ Segment customers: Who are your top spenders?
πΉ Evaluate campaigns: Which marketing effort drove the best ROI?
Reality Check: What Really Matters
π How you think through a problem.
π How you communicate your insights.
π How you connect your work to business goals.
π« What doesnβt matter?
Writing overly complex SQL.
Knowing every Excel formula.
Advanced machine learning knowledge (for most junior roles).
Pro Tip: Stay calm, ask questions, and show youβre eager to solve problems. Your mindset is just as important as your technical skills!
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