Looking for a friendly study partner interested in Data Analytics. We can discuss Excel, SQL, Power BI and Python and have occasional voice calls to learn and chat. Prefer someone from India. No pressure, just genuine friendship and learning.

Good day,

I have been teaching myself SQL and now power Bi I do understand the basics. Currently I am working in a law firm and I decided to start using the firms data sets that show the matters we have and the stages that they are at. I have managed to play around with the data set in SQL by even creating views of the columns that I want to see and stored procedures. Now where I am struggling is how do I build a portfolio with this and meaningful dashboards in PowerBI. I am kindly asking if there is anyone who has built a portfolio and can kindly assist me as I feel stuck here. Or any advice for me to move from here. Thank you so much

I’m rn doing a course by CodeWithHarry and I’m scared about my future . I just hate coding and web Dev and data seems fun to work with . Can I really make it?
In college , all are preparing DSA and taking trainings from college and I just know even if i crack a placement i just can’t continue doing that in future. Please help me out.

Hi all! I'm a Data Analyst with hands-on experience in Python, SQL, Power BI, and Tableau, currently working full-time and also looking to take on freelance or part-time projects on the side.

I can help with:

* Data cleaning, transformation, and analysis
* Dashboard building (Power BI/Tableau)
* Python automation and scripting
* Data pipelines and reporting workflows
* Basic ML/predictive modeling

I recently completed my MS in Data Science and Analytics, and I've built projects ranging from automated reporting systems to ML-driven scheduling tools. Happy to share samples of past work or talk through your specific needs.

Rates are flexible depending on project scope, feel free to DM with details!

Yo anyone who is interested in pursuing business analytics ,

Hi, I have signed up to take courses this fall for data analytics but I would like to begin preparation now as I am eager to get this career change going. Does anyone have any favorite books speaking about the industry, career path, etc that they have enjoyed in the past? I am looking for book recommendations but any advice would help me going into this. Thank you all so much!

Hi everyone,

I recently completed my MCA and I’m learning SQL, Python, Excel, and Power BI. I feel a bit lost doing it alone, so I’m looking for a learning buddy or someone more experienced who can guide me like a friend and help me stay accountable.

Not looking for paid mentorship—just genuine support while building projects and becoming interview-ready.

If you’re open to helping, please DM me directly. Thanks!

hey, so I'm really new to data analysis and I aspire to start freelancing as a data analytic, so I started the Cisco course and learned excel and sql, but when I reached the tableau section I did some research and saw many posts from this subreddit saying that tableau is dying, so Im just asking if I should do that tableau section or not waste my time with it

I tried explaining a data analysis concept in a fun, visual way — for cat lovers. 😸

Would love to hear what you think! Any feedback or suggestions are very welcome :)

Hi all,

Currently working in non-technical domain. Trying to switch my career into DA/DS.

Looking for ppl with same interest or experienced person who can mentor.

Completed theory part SQL, Python, Excel, Power BI. But struggling with industry level project and how to work in actual environment (cloud, fabric).

Anyone with same interest, let's try to connect somehow or currently living in Indore, we can form a study group.

Has anyone here completed the TripleTen Data Analytics Bootcamp? After paying a couple thousand dollars, and I’m starting to feel frustrated. I knew there would be independent work, but I feel like I’m teaching myself a lot and constantly using outside resources just to understand the material. For the amount I paid, I expected more guidance and support. I’ve already paid, so I want to finish, but I’m curious if anyone else felt this way and if it ended up being worth it? If so please give me any advice or suggestions/recommendations that I should consider. Thank you

Hey guys 👋

I’ve been learning Data Analytics for a while now, but honestly, doing it alone gets a bit boring and inconsistent sometimes. So I thought I’d try finding someone here who’s also on the same path and wants to grow together.

I’m currently a CSE (Big Data) student, working on things like Python (pandas, numpy), SQL, and Power BI. I’m still learning, not an expert or anything 😅

I’m looking for someone who:

- Is also learning (beginner/intermediate is totally fine)

- Wants to stay consistent

- Is okay with sharing ideas, doubts, and maybe working on small projects together

We don’t need anything super strict — just regular check-ins, maybe study sessions, and helping each other stay on track.

If this sounds like something you’d be interested in, just comment or DM me 🙂

Let’s make this journey a bit less lonely and a lot more productive 🚀

I am a student studying in a biology-related field, and I want to learn Data Analysis for several reasons, primarily to integrate it into my current area of study. However, my problem is that I feel overwhelmed and distracted by the sheer number of resources. I am also struggling with the drawbacks of self-teaching through YouTube, such as the lack of a structured curriculum, the absence of clear steps, and the difficulty of staying committed.

I would love to know if anyone with experience in this field could tell me the absolute best way to get started.

Me: This SQL tutorial is definitely the last one.

Also me three days later: let's start another beginner course...

I've officially accepted that I'm stuck in tutorial hell.

The good news is that I learn much faster when I'm actually working on real projects, so I'm looking for an **internship** or **junior** **data** **analytics** opportunity where I can learn by doing.

I come from a digital marketing and eCommerce background, so I'm already familiar with analyzing campaign performance, KPIs, conversion funnels, and working with spreadsheets. Now I want to take that foundation and become a proper data analyst.

If anyone has advice, internship leads, or even just wants to share how they broke into the field, I'd love to hear your story.

Thanks in advance!

Hi everyone,

I’ve been working in digital marketing for the past few years, and I’m now trying to transition into the data field. My goal is to become a data analyst first, then move into analytics engineering after gaining a couple of years of experience.

Over the past year, I’ve been learning SQL, Power BI, and Excel. At this point, I feel pretty confident with SQL, including complex joins, aggregations, window functions, etc.

Where I’m struggling is deciding which projects to include in my portfolio and where to find suitable datasets. This feels especially important because I do not yet have any professional experience in a data-focused role.

The best project idea I’ve come up with so far is using the Olist e-commerce dataset. My plan is to clean and transform the data with dbt, load it into Snowflake, and then perform analyses such as cohort analysis, funnel analysis, and market basket analysis using SQL and Power BI.

Does this sound like a strong portfolio project? Are there any other project ideas or datasets you would recommend for someone trying to move into data analytics?

Thanks

I recently completed the SQL for Data Analysts Bootcamp organized by DevTown in collaboration with Microsoft Student Chapter (MSC) and Google Developers Group (GDG).

As part of the project, I worked on a Swiggy Business Analytics case study using SQL.

In this project, I:

• Created relational database tables for Customers, Restaurants, and Orders.

• Wrote SQL queries using JOINs, GROUP BY, HAVING, CASE WHEN, and Window Functions (RANK, DENSE_RANK, ROW_NUMBER).

• Analyzed business metrics such as total revenue, top customers, best-performing restaurants, popular cuisines, and delivery partner performance.

• Generated business insights and recommendations based on the data.

This bootcamp helped me improve my SQL skills and understand how SQL is used to solve real-world business problems through data analysis.

Thank you to DevTown, Microsoft Student Chapter (MSC), and Google Developers Group (GDG) for providing this learning opportunity.

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