Data Engineers
9.05K subscribers
358 photos
74 files
341 links
Free Data Engineering Ebooks & Courses
Download Telegram
๐Ÿ“Œ ๐Ÿš€ How to Build a Personal Brand as a Data Analyst

Want to stand out in the competitive job market? Build your personal brand using these strategies:

โœ… 1. Share Your Work Publicly โ€“ Post SQL/Python projects on LinkedIn, Medium, or GitHub.

โœ… 2. Engage with Data Communities โ€“ Follow & contribute to Kaggle, DataCamp, or Analytics Vidhya.

โœ… 3. Write About Data โ€“ Share blog posts on real-world data insights & case studies.

โœ… 4. Present at Meetups/Webinars โ€“ Gain visibility & network with industry experts.

โœ… 5. Optimize LinkedIn & GitHub โ€“ Highlight your skills, certifications, and projects.


๐Ÿ’ก Start with one personal branding activity this week.
โค3
Q: How do you import data from various sources (Excel, SQL Server, CSV) into Power BI?

A: Hereโ€™s how to handle multi-source imports in Power BI Desktop:

1. Excel:

ยฐ Go to Home > Get Data > Excel

ยฐ Select your file & sheets or tables



2. CSV:

ยฐ Choose Get Data > Text/CSV

ยฐ Browse and load the file



3. SQL Server:

ยฐ Select Get Data > SQL Server

ยฐ Enter server/database name

ยฐ Use a query or select tables directly



4. Combine Sources:

ยฐ Use Power Query to transform, merge, or append tables

ยฐ Create relationships in the Model view


Pro Tip:
Use consistent data types and naming to make transformations smoother across sources!
โค5๐Ÿ”ฅ1
ChatGPT Prompt to learn any skill
๐Ÿ‘‡๐Ÿ‘‡
I am seeking to become an expert professional in [Making ChatGPT prompts perfectly]. I would like ChatGPT to provide me with a complete course on this subject, following the principles of Pareto principle and simulating the complexity, structure, duration, and quality of the information found in a college degree program at a prestigious university. The course should cover the following aspects: Course Duration: The course should be structured as a comprehensive program, spanning a duration equivalent to a full-time college degree program, typically four years. Curriculum Structure: The curriculum should be well-organized and divided into semesters or modules, progressing from beginner to advanced levels of proficiency. Each semester/module should have a logical flow and build upon the previous knowledge. Relevant and Accurate Information: The course should provide all the necessary and up-to-date information required to master the skill or knowledge area. It should cover both theoretical concepts and practical applications. Projects and Assignments: The course should include a series of hands-on projects and assignments that allow me to apply the knowledge gained. These projects should range in complexity, starting from basic exercises and gradually advancing to more challenging real-world applications. Learning Resources: ChatGPT should share a variety of learning resources, including textbooks, research papers, online tutorials, video lectures, practice exams, and any other relevant materials that can enhance the learning experience. Expert Guidance: ChatGPT should provide expert guidance throughout the course, answering questions, providing clarifications, and offering additional insights to deepen understanding. I understand that ChatGPT's responses will be generated based on the information it has been trained on and the knowledge it has up until September 2021. However, I expect the course to be as complete and accurate as possible within these limitations. Please provide the course syllabus, including a breakdown of topics to be covered in each semester/module, recommended learning resources, and any other relevant information

(Tap on above text to copy)
โค5
๐Ÿš€ PyTorch vs TensorFlow โ€“ Which Should YOU Choose?

If youโ€™re starting in AI or planning to build real-world apps, this is the big question.

๐Ÿ‘‰ PyTorch โ€“ simple, feels like Python, runs instantly. Perfect for learning, experiments, and research.
๐Ÿ‘‰ TensorFlow โ€“ built by Google, comes with a full production toolkit (mobile, web, cloud). Perfect for apps at scale.

โœจ Developer Experience: PyTorch is beginner-friendly. TensorFlow has improved with Keras but still leans towards production use.
๐Ÿ“Š Research vs Production: 75% of research papers use PyTorch, but TensorFlow powers large-scale deployments.

๐Ÿ’ก Think of it like this:
PyTorch = Notebook for experiments โœ๏ธ
TensorFlow = Office suite for real apps ๐Ÿข

So the choice is simple:

Learning & Research โ†’ PyTorch

Scaling & Deployment โ†’ TensorFlow
โค4
Amazon Interview Process for Data Scientist position

๐Ÿ“Round 1- Phone Screen round
This was a preliminary round to check my capability, projects to coding, Stats, ML, etc.

After clearing this round the technical Interview rounds started. There were 5-6 rounds (Multiple rounds in one day).

๐Ÿ“ ๐—ฅ๐—ผ๐˜‚๐—ป๐—ฑ ๐Ÿฎ- ๐——๐—ฎ๐˜๐—ฎ ๐—ฆ๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ ๐—•๐—ฟ๐—ฒ๐—ฎ๐—ฑ๐˜๐—ต:
In this round the interviewer tested my knowledge on different kinds of topics.

๐Ÿ“๐—ฅ๐—ผ๐˜‚๐—ป๐—ฑ ๐Ÿฏ- ๐——๐—ฒ๐—ฝ๐˜๐—ต ๐—ฅ๐—ผ๐˜‚๐—ป๐—ฑ:
In this round the interviewers grilled deeper into 1-2 topics. I was asked questions around:
Standard ML tech, Linear Equation, Techniques, etc.

๐Ÿ“๐—ฅ๐—ผ๐˜‚๐—ป๐—ฑ ๐Ÿฐ- ๐—–๐—ผ๐—ฑ๐—ถ๐—ป๐—ด ๐—ฅ๐—ผ๐˜‚๐—ป๐—ฑ-
This was a Python coding round, which I cleared successfully.

๐Ÿ“๐—ฅ๐—ผ๐˜‚๐—ป๐—ฑ ๐Ÿฑ- This was ๐—›๐—ถ๐—ฟ๐—ถ๐—ป๐—ด ๐— ๐—ฎ๐—ป๐—ฎ๐—ด๐—ฒ๐—ฟ where my fitment for the team got assessed.

๐Ÿ“๐—Ÿ๐—ฎ๐˜€๐˜ ๐—ฅ๐—ผ๐˜‚๐—ป๐—ฑ- ๐—•๐—ฎ๐—ฟ ๐—ฅ๐—ฎ๐—ถ๐˜€๐—ฒ๐—ฟ- Very important round, I was asked heavily around Leadership principles & Employee dignity questions.

So, here are my Tips if youโ€™re targeting any Data Science role:
-> Never make up stuff & donโ€™t lie in your Resume.
-> Projects thoroughly study.
-> Practice SQL, DSA, Coding problem on Leetcode/Hackerank.
-> Download data from Kaggle & build EDA (Data manipulation questions are asked)

Best Data Science & Machine Learning Resources: https://topmate.io/coding/914624

ENJOY LEARNING ๐Ÿ‘๐Ÿ‘
โค4
โŒจ๏ธ MongoDB Cheat Sheet

MongoDB is a flexible, document-orientated, NoSQL database program that can scale to any enterprise volume without compromising search performance.


This Post includes a MongoDB cheat sheet to make it easy for our followers to work with MongoDB.

Working with databases
Working with rows
Working with Documents
Querying data from documents
Modifying data in documents
Searching
โค2
๐Ÿš€ Walk-in Hiring Drive Alert! ๐Ÿš€

AccioJob x Sceniuz are hiring for Data Analyst & Data Engineer roles!

* Graduation Year: Open to All
* Degree: BTech / BE / BCA / BSC / MTech /ME / MCA / MSC
* CTC: 3โ€“6 LPA
* Offline Assesment at AccioJob partnered campus in Mumbai

๐Ÿ‘‰๐Ÿป Data Analyst: https://go.acciojob.com/47HSHh
๐Ÿ‘‰๐Ÿป Data Engineer: https://go.acciojob.com/PnRTK2
โค1
Greetings from PVR Cloud Tech!! ๐ŸŒˆ

๐Ÿš€ Kickstart Your Career in Azure Data Engineering โ€“ The Smart Way in 2025!

๐Ÿ“Œ Start Date: 15th September 2025

โฐ Time: 9 PM โ€“ 10 PM IST | Monday

๐Ÿ”น Course Content:

https://drive.google.com/file/d/1YufWV0Ru6SyYt-oNf5Mi5H8mmeV_kfP-/view

๐Ÿ“ฑ Join WhatsApp Group:

https://chat.whatsapp.com/JezGFEebk2G3TsZPzTsbZP

๐Ÿ“ฅ Register Now:

https://forms.gle/8f6hzRCQJmShf5Eo8

๐Ÿ“บ WhatsApp Channel:

https://www.whatsapp.com/channel/0029Vb60rGU8V0thkpbFFW2n

Cheers.
Team PVR Cloud Tech :)
+91-9346060794
โค3๐Ÿ‘1
๐Ÿš€ Step-by-Step Guide to Become a Data Engineer in 2025 ๐Ÿ› ๏ธ๐Ÿ“‚

1๏ธโƒฃ Start with Programming Basics 
Learn Python or Java โ€” essential for scripting, automation & handling data.

2๏ธโƒฃ Understand Databases 
Master SQL for querying, plus NoSQL (MongoDB, Cassandra) for unstructured data.

3๏ธโƒฃ Learn Data Warehousing 
Get comfy with ETL, OLAP, Star/Snowflake schemas. Tools: Snowflake, Redshift, BigQuery.

4๏ธโƒฃ Work with Big Data Tools 
Explore Hadoop, Spark, Kafka โ€” key for large-scale data processing.

5๏ธโƒฃ Get Hands-On with Cloud Platforms 
Focus on AWS, Azure, or GCP โ€” master data services like S3, Lambda, Glue, BigQuery.

6๏ธโƒฃ Practice Building Data Pipelines 
Use Apache Airflow, dbt, or Prefect to build and orchestrate workflows end-to-end.

7๏ธโƒฃ Version Control & CI/CD 
Learn GitHub, Docker, Jenkins for collaboration and deployment.

8๏ธโƒฃ Build a Strong Portfolio 
Show off pipeline projects, cloud workflows, and architecture diagrams.

9๏ธโƒฃ Apply for Data Engineering Roles 
Look for titles like Data Engineer, ETL Developer, Cloud Data Engineer.

๐Ÿ”Ÿ Keep Growing & Learning 
Dive into real-time streaming, data security, optimization, and advanced data modeling.

โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”

๐Ÿ”ฅ In 2025, top skills include cloud computing, big data, ETL, programming (Python/Java), and data warehousing. Focus where demand is highest!

๐Ÿ’ก Start small, build projects, experiment on free cloud tiers, and stay updated with emerging tech.

๐Ÿ’ฌ Tap โค๏ธ for more!
โค7
โŒจ๏ธ QR code generation in Python
โค1
Top 5 Data Science Data Terms
โค3
Big Data 5V
โค3
Greetings from PVR Cloud Tech!! ๐ŸŒˆ

๐Ÿš€ Kickstart Your Career in Azure Data Engineering โ€“ The Smart Way in 2025!

๐Ÿ“Œ Start Date: 27th September 2025

โฐ Time: 8 PM โ€“ 9 PM IST | Saturday

๐Ÿ”น Course Content :

https://drive.google.com/file/d/1YufWV0Ru6SyYt-oNf5Mi5H8mmeV_kfP-/view

๐Ÿ“ฑ Join WhatsApp Group:

https://chat.whatsapp.com/CONhbkkRrnB8MK7GjXbXS4?mode=ems_copy_t


๐Ÿ“ฅ Register Now:

https://forms.gle/EP6XG8NvJkXh7sjw9

๐Ÿ“บ WhatsApp Channel:

https://www.whatsapp.com/channel/0029Vb60rGU8V0thkpbFFW2n


Team
PVR Cloud Tech :)
+91-9346060794
โค2๐Ÿ‘1