๐ ๐ 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:
โ 1. Share Your Work Publicly โ Post SQL/Python projects on LinkedIn, Medium, or GitHub.
โ 2. Engage with Data Communities โ Follow & contribute to Kaggle, DataCamp, or Analytics Vidhya.
โ 3. Write About Data โ Share blog posts on real-world data insights & case studies.
โ 4. Present at Meetups/Webinars โ Gain visibility & network with industry experts.
โ 5. Optimize LinkedIn & GitHub โ Highlight your skills, certifications, and projects.
๐ก Start with one personal branding activity this week.
Want to stand out in the competitive job market? Build your personal brand using these strategies:
โ 1. Share Your Work Publicly โ Post SQL/Python projects on LinkedIn, Medium, or GitHub.
โ 2. Engage with Data Communities โ Follow & contribute to Kaggle, DataCamp, or Analytics Vidhya.
โ 3. Write About Data โ Share blog posts on real-world data insights & case studies.
โ 4. Present at Meetups/Webinars โ Gain visibility & network with industry experts.
โ 5. Optimize LinkedIn & GitHub โ Highlight your skills, certifications, and projects.
๐ก Start with one personal branding activity this week.
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Q: How do you import data from various sources (Excel, SQL Server, CSV) into Power BI?
A: Hereโs 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!
A: Hereโs 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!
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ChatGPT Prompt to learn any skill
๐๐
(Tap on above text to copy)
๐๐
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)
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๐ PyTorch vs TensorFlow โ Which Should YOU Choose?
If youโre starting in AI or planning to build real-world apps, this is the big question.
๐ PyTorch โ simple, feels like Python, runs instantly. Perfect for learning, experiments, and research.
๐ TensorFlow โ built by Google, comes with a full production toolkit (mobile, web, cloud). Perfect for apps at scale.
โจ Developer Experience: PyTorch is beginner-friendly. TensorFlow has improved with Keras but still leans towards production use.
๐ Research vs Production: 75% of research papers use PyTorch, but TensorFlow powers large-scale deployments.
๐ก Think of it like this:
PyTorch = Notebook for experiments โ๏ธ
TensorFlow = Office suite for real apps ๐ข
So the choice is simple:
Learning & Research โ PyTorch
Scaling & Deployment โ TensorFlow
If youโre starting in AI or planning to build real-world apps, this is the big question.
๐ PyTorch โ simple, feels like Python, runs instantly. Perfect for learning, experiments, and research.
๐ TensorFlow โ built by Google, comes with a full production toolkit (mobile, web, cloud). Perfect for apps at scale.
โจ Developer Experience: PyTorch is beginner-friendly. TensorFlow has improved with Keras but still leans towards production use.
๐ Research vs Production: 75% of research papers use PyTorch, but TensorFlow powers large-scale deployments.
๐ก Think of it like this:
PyTorch = Notebook for experiments โ๏ธ
TensorFlow = Office suite for real apps ๐ข
So the choice is simple:
Learning & Research โ PyTorch
Scaling & Deployment โ TensorFlow
โค4
Amazon Interview Process for Data Scientist position
๐Round 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).
๐ ๐ฅ๐ผ๐๐ป๐ฑ ๐ฎ- ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ ๐๐ฟ๐ฒ๐ฎ๐ฑ๐๐ต:
In this round the interviewer tested my knowledge on different kinds of topics.
๐๐ฅ๐ผ๐๐ป๐ฑ ๐ฏ- ๐๐ฒ๐ฝ๐๐ต ๐ฅ๐ผ๐๐ป๐ฑ:
In this round the interviewers grilled deeper into 1-2 topics. I was asked questions around:
Standard ML tech, Linear Equation, Techniques, etc.
๐๐ฅ๐ผ๐๐ป๐ฑ ๐ฐ- ๐๐ผ๐ฑ๐ถ๐ป๐ด ๐ฅ๐ผ๐๐ป๐ฑ-
This was a Python coding round, which I cleared successfully.
๐๐ฅ๐ผ๐๐ป๐ฑ ๐ฑ- This was ๐๐ถ๐ฟ๐ถ๐ป๐ด ๐ ๐ฎ๐ป๐ฎ๐ด๐ฒ๐ฟ where my fitment for the team got assessed.
๐๐๐ฎ๐๐ ๐ฅ๐ผ๐๐ป๐ฑ- ๐๐ฎ๐ฟ ๐ฅ๐ฎ๐ถ๐๐ฒ๐ฟ- Very important round, I was asked heavily around Leadership principles & Employee dignity questions.
So, here are my Tips if youโre targeting any Data Science role:
-> Never make up stuff & donโt 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 ๐๐
๐Round 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).
๐ ๐ฅ๐ผ๐๐ป๐ฑ ๐ฎ- ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ ๐๐ฟ๐ฒ๐ฎ๐ฑ๐๐ต:
In this round the interviewer tested my knowledge on different kinds of topics.
๐๐ฅ๐ผ๐๐ป๐ฑ ๐ฏ- ๐๐ฒ๐ฝ๐๐ต ๐ฅ๐ผ๐๐ป๐ฑ:
In this round the interviewers grilled deeper into 1-2 topics. I was asked questions around:
Standard ML tech, Linear Equation, Techniques, etc.
๐๐ฅ๐ผ๐๐ป๐ฑ ๐ฐ- ๐๐ผ๐ฑ๐ถ๐ป๐ด ๐ฅ๐ผ๐๐ป๐ฑ-
This was a Python coding round, which I cleared successfully.
๐๐ฅ๐ผ๐๐ป๐ฑ ๐ฑ- This was ๐๐ถ๐ฟ๐ถ๐ป๐ด ๐ ๐ฎ๐ป๐ฎ๐ด๐ฒ๐ฟ where my fitment for the team got assessed.
๐๐๐ฎ๐๐ ๐ฅ๐ผ๐๐ป๐ฑ- ๐๐ฎ๐ฟ ๐ฅ๐ฎ๐ถ๐๐ฒ๐ฟ- Very important round, I was asked heavily around Leadership principles & Employee dignity questions.
So, here are my Tips if youโre targeting any Data Science role:
-> Never make up stuff & donโt 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 ๐๐
โค4
โจ๏ธ MongoDB Cheat Sheet
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
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
โค2
๐ Walk-in Hiring Drive Alert! ๐
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: 3โ6 LPA
* Offline Assesment at AccioJob partnered campus in Mumbai
๐๐ป Data Analyst: https://go.acciojob.com/47HSHh
๐๐ป Data Engineer: https://go.acciojob.com/PnRTK2
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: 3โ6 LPA
* Offline Assesment at AccioJob partnered campus in Mumbai
๐๐ป Data Analyst: https://go.acciojob.com/47HSHh
๐๐ป Data Engineer: https://go.acciojob.com/PnRTK2
โค1
Greetings from PVR Cloud Tech!! ๐
๐ Kickstart Your Career in Azure Data Engineering โ The Smart Way in 2025!
๐ Start Date: 15th September 2025
โฐ Time: 9 PM โ 10 PM IST | Monday
๐น Course Content:
https://drive.google.com/file/d/1YufWV0Ru6SyYt-oNf5Mi5H8mmeV_kfP-/view
๐ฑ Join WhatsApp Group:
https://chat.whatsapp.com/JezGFEebk2G3TsZPzTsbZP
๐ฅ Register Now:
https://forms.gle/8f6hzRCQJmShf5Eo8
๐บ WhatsApp Channel:
https://www.whatsapp.com/channel/0029Vb60rGU8V0thkpbFFW2n
Cheers.
Team PVR Cloud Tech :)
+91-9346060794
๐ Kickstart Your Career in Azure Data Engineering โ The Smart Way in 2025!
๐ Start Date: 15th September 2025
โฐ Time: 9 PM โ 10 PM IST | Monday
๐น Course Content:
https://drive.google.com/file/d/1YufWV0Ru6SyYt-oNf5Mi5H8mmeV_kfP-/view
๐ฑ Join WhatsApp Group:
https://chat.whatsapp.com/JezGFEebk2G3TsZPzTsbZP
๐ฅ Register Now:
https://forms.gle/8f6hzRCQJmShf5Eo8
๐บ WhatsApp Channel:
https://www.whatsapp.com/channel/0029Vb60rGU8V0thkpbFFW2n
Cheers.
Team PVR Cloud Tech :)
+91-9346060794
โค3๐1
๐ Step-by-Step Guide to Become a Data Engineer in 2025 ๐ ๏ธ๐
1๏ธโฃ Start with Programming Basics
Learn Python or Java โ essential for scripting, automation & handling data.
2๏ธโฃ Understand Databases
Master SQL for querying, plus NoSQL (MongoDB, Cassandra) for unstructured data.
3๏ธโฃ Learn Data Warehousing
Get comfy with ETL, OLAP, Star/Snowflake schemas. Tools: Snowflake, Redshift, BigQuery.
4๏ธโฃ Work with Big Data Tools
Explore Hadoop, Spark, Kafka โ key for large-scale data processing.
5๏ธโฃ Get Hands-On with Cloud Platforms
Focus on AWS, Azure, or GCP โ master data services like S3, Lambda, Glue, BigQuery.
6๏ธโฃ Practice Building Data Pipelines
Use Apache Airflow, dbt, or Prefect to build and orchestrate workflows end-to-end.
7๏ธโฃ Version Control & CI/CD
Learn GitHub, Docker, Jenkins for collaboration and deployment.
8๏ธโฃ Build a Strong Portfolio
Show off pipeline projects, cloud workflows, and architecture diagrams.
9๏ธโฃ Apply for Data Engineering Roles
Look for titles like Data Engineer, ETL Developer, Cloud Data Engineer.
๐ Keep Growing & Learning
Dive into real-time streaming, data security, optimization, and advanced data modeling.
โโโโโโโโโโ
๐ฅ In 2025, top skills include cloud computing, big data, ETL, programming (Python/Java), and data warehousing. Focus where demand is highest!
๐ก Start small, build projects, experiment on free cloud tiers, and stay updated with emerging tech.
๐ฌ Tap โค๏ธ for more!
1๏ธโฃ Start with Programming Basics
Learn Python or Java โ essential for scripting, automation & handling data.
2๏ธโฃ Understand Databases
Master SQL for querying, plus NoSQL (MongoDB, Cassandra) for unstructured data.
3๏ธโฃ Learn Data Warehousing
Get comfy with ETL, OLAP, Star/Snowflake schemas. Tools: Snowflake, Redshift, BigQuery.
4๏ธโฃ Work with Big Data Tools
Explore Hadoop, Spark, Kafka โ key for large-scale data processing.
5๏ธโฃ Get Hands-On with Cloud Platforms
Focus on AWS, Azure, or GCP โ master data services like S3, Lambda, Glue, BigQuery.
6๏ธโฃ Practice Building Data Pipelines
Use Apache Airflow, dbt, or Prefect to build and orchestrate workflows end-to-end.
7๏ธโฃ Version Control & CI/CD
Learn GitHub, Docker, Jenkins for collaboration and deployment.
8๏ธโฃ Build a Strong Portfolio
Show off pipeline projects, cloud workflows, and architecture diagrams.
9๏ธโฃ Apply for Data Engineering Roles
Look for titles like Data Engineer, ETL Developer, Cloud Data Engineer.
๐ Keep Growing & Learning
Dive into real-time streaming, data security, optimization, and advanced data modeling.
โโโโโโโโโโ
๐ฅ In 2025, top skills include cloud computing, big data, ETL, programming (Python/Java), and data warehousing. Focus where demand is highest!
๐ก Start small, build projects, experiment on free cloud tiers, and stay updated with emerging tech.
๐ฌ Tap โค๏ธ for more!
โค7
Greetings from PVR Cloud Tech!! ๐
๐ Kickstart Your Career in Azure Data Engineering โ The Smart Way in 2025!
๐ Start Date: 27th September 2025
โฐ Time: 8 PM โ 9 PM IST | Saturday
๐น Course Content :
https://drive.google.com/file/d/1YufWV0Ru6SyYt-oNf5Mi5H8mmeV_kfP-/view
๐ฑ Join WhatsApp Group:
https://chat.whatsapp.com/CONhbkkRrnB8MK7GjXbXS4?mode=ems_copy_t
๐ฅ Register Now:
https://forms.gle/EP6XG8NvJkXh7sjw9
๐บ WhatsApp Channel:
https://www.whatsapp.com/channel/0029Vb60rGU8V0thkpbFFW2n
Team
PVR Cloud Tech :)
+91-9346060794
๐ Kickstart Your Career in Azure Data Engineering โ The Smart Way in 2025!
๐ Start Date: 27th September 2025
โฐ Time: 8 PM โ 9 PM IST | Saturday
๐น Course Content :
https://drive.google.com/file/d/1YufWV0Ru6SyYt-oNf5Mi5H8mmeV_kfP-/view
๐ฑ Join WhatsApp Group:
https://chat.whatsapp.com/CONhbkkRrnB8MK7GjXbXS4?mode=ems_copy_t
๐ฅ Register Now:
https://forms.gle/EP6XG8NvJkXh7sjw9
๐บ WhatsApp Channel:
https://www.whatsapp.com/channel/0029Vb60rGU8V0thkpbFFW2n
Team
PVR Cloud Tech :)
+91-9346060794
โค2๐1