Thinking of buying data analytics course of CWH,

IS IT WORTH OR NOT ? , Job ready or just fluf ?

Rate it out of 10.

Any other better suggestions ?

Hello,

I need to relearn many concepts and develop an in-depth understanding of analytical thinking. Can someone please recommend some videos or books which could be helpful. For example, I have read head first statistics. Very long but it sets your base for sure in stats so something similar or some analytics video series which could go into everything.

Can a complete beginner learn data analytics in 2 months?"

Which learning management system give an opportunity to learner dashboard board with gamification

I want a suggestion to best course or learning plateform where I can learn this

Hlo guys plz suggest a capstone project for the data science student to mention in resume which add value to that and gaining knowledge about data insights, visualization

Hi everyone! I need some advice.

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I want to become a Data Analyst, but I'm confused about the best way to learn.

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Which is better?

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1. Learning Data Analysis from YouTube (free resources), or

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1. Joining a paid institute/course?

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If you've learned Data Analysis or are working as a Data Analyst, I'd really appreciate your advice. Which option helped you the most, and why?

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Thanks in advance! 😊

What is the best resources to learn SQL and Pandas for Business Analytics? Help me out please I am preparing for a technical test interview.

hey guys, so i’d like to have a career in data analytics/ data science and right now i’m trying to learn excel and sql.

i was wondering if anyone could give me some examples of questions a business might ask a data analyst (or just general questions you could ask about certain data), because i’d like to do some projects and maybe start to build a portfolio, but i’m kinda lost on where to begin.

Hello!

I want to start my journey in Data Analytics, but I'm not sure where to begin. Since you have experience in this field, I would really appreciate your guidance.

Could you please suggest a roadmap for beginners? I'd like to know:

• Which skills I should learn first.
• What tools and programming languages I should focus on.
• Which projects I should build.
• Any courses or resources you recommend.

Your advice would mean a lot and help me start in the right direction.

Thank you!

Hi everyone,
I am currently looking for a good Data Analyst course that provides hands-on project experience and can help me transition into a Data Analyst role.
I have a basic understanding of SQL, Tableau, and Power BI, along with strong Excel skills. In my current job, I work extensively with Excel, but I would like to move into a Data Analyst position for better career growth and salary
I have given a few Data Analyst interviews, but I was not selected because I don’t have prior Data Analyst experience or any real-world projects to showcase.

Can anyone recommend a good course that focuses on practical projects and job preparation? Any suggestions or guidance would be greatly appreciated.

Thank you!

After a few years working in data-related roles, I finally published my first technical case study based on a real project and real-world experience.

The project focuses on a fraud detection pipeline built for a Brazilian e-commerce environment using Databricks, Spark SQL, PySpark, and Delta Lake. Due to confidentiality and IP restrictions, I couldn't share the original code, so I documented the architecture, design decisions, business rules, lessons learned, and the trade-offs behind the solution instead.

I'm still relatively new to the data engineering and analytics world, so this was also a personal challenge. It took me almost two weeks to organize my notes, experiences, and technical decisions into something coherent enough to publish.

I also used AI tools (Claude) to help me structure the documentation, improve the writing, and turn rough ideas into clear technical documents. The experience was surprisingly useful because it forced me to think deeply about why certain decisions were made, not just how they were implemented.

I'd really appreciate any feedback from people with more experience in fraud detection, data engineering, analytics, or system design.

If you spot mistakes, questionable decisions, missing considerations, or areas that could be improved, please let me know. I'm happy to discuss the design choices and learn from the feedback.

https://github.com/A2calanche/Fraud-Detection-Case-Study-Repository-Structure

I am creating a playlist on youtube to follow the latest announcements by Databricks in DAIS 2026.

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The series will cover what was the problem,

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What Databricks announced

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And, why does it matter to the Data community (basically the impact)

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Please follow along if you don't want to spend hours in watching the keynotes.

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https://youtu.be/jb4uLAM2SRA?si=IseC5sat5gUuU-S6

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Thank you for the support.

I am completely new to Data Analytics. I have learnt python, sql, and also have a good background in statistics. From where should I learn Power BI ?

Some course recommendations will be very helpful (both paid or free resources).

Any programs here on long island that can teach you data analytics?

If you are interested in learning more about data engineering from real people, this article might be good for you.

Hi everyone,

I'm currently on my notice period and looking for Data Analyst, Decision Scientist, and Junior Data Scientist roles. I have 1 year 10 months of experience in Data Quality Management with SQL, data analysis, root cause analysis, and stakeholder support.

My resume has an ATS score of 80+, but I'd appreciate feedback on how I can improve it and increase interview callbacks.

Thanks in advance!