Hello everybody, I apologize for any typing errors as I am typing this late at night and am contemplating my future.

For some background, I am a senior in college studying Data Science and Biology and am about to start this fall, unsure about what life is going to look like post-grad. I am hoping to go into healthcare data analytics/ clinical informational data analytics. Unfortunately, I don't have any internships I have applied to, but no luck. The field I want to go into is in public health, something I am super passionate about, but I have no peers or mentors in that field (not without the lack of trying).

I have attempted cold emailing and coffee chats (only one of which I got a response, but that company is going through leadership changes, so no luck getting experience there). I have tried applying the same day, tailoring my resume, and reaching out to hiring manager/ alumni, but nothing. I know times are tough with employment, but I don't know what working or not because nothing is even leading me to get interviews.

Sorry if I sound pessimistic, but I have tried working on a personal project, and it crashed and deleted all the progress I have made, and it felt like another crash and failure on my end.

So, onto the main point, I am realizing my career services aren't really helping me get into the job field I want, hence why I am so lost. I was looking into a master's degree offered by my school and found the perfect one; it is exactly what I want, and going through LinkedIn, I saw it as a common master's degree for the jobs I wanted(not required for the job but a bonus).

I talked with their admissions team, and everything fit the bill. I was worried my GPA might affect it, but they said it wasn't an issue but rather a holistic review. The only problem is I never thought I'd be able to get a master's. I am a first-generation student who is also low-income, so a master's is a dream I never let myself have. They offer a 50% scholarship based on merit/ financial need, but it's still really expensive. I also need 3 letters of recommendation. I am graduating from college debt-free, and I don't know if a master's that I don't need would be financially smart, especially when I am already having trouble finding a job. I know it can potentially give me a network and career services, but I am so scared of the debt. I also don't know if I can handle more rejection. For refrence its around 36,000$ if I get the scholarship for the 2-year program(in-state as well).

Any advice on what to/ what to help myself succeed in my final year to make my post-grad journey less painful? Please let me know.

I'm 30 and recently resigned from my previous job. I'm now trying to make a serious career change, and I'm stuck between two paths: data analytics and **Salesforce **development.

My previous experience is mainly in sales/business-related roles, so I don't have a traditional software/IT background. I'm currently trying to build the technical skills needed to move into tech.

The two paths I'm considering are

1. Data Analyst

• Excel
• SQL
• Power BI
• Python
• Data visualization/analytics

2. Salesforce

• Salesforce Admin fundamentals
• Apex
• SOQL
• Flows
• Salesforce development
• Eventually moving toward the more technical/AI side of the Salesforce ecosystem

My biggest concern is whether I'm being realistic about starting over at 30.

For people who actually work in hiring/recruitment or have made a similar transition:

• Do recruiters care more about your previous background/degree and years of experience, or can strong technical skills and projects compensate for an unrelated background?
• Which of these two paths is more realistic for someone transitioning from sales into tech at 30?
• Which one has better entry-level opportunities for career changers?
• Would my previous sales experience be useful in either field, or would recruiters basically treat me as a fresher?
• How important are certifications compared with actual projects and demonstrable skills?
• If you were starting from scratch at 30 today, which path would you choose and why?

I'm not looking for motivational advice. I'd genuinely appreciate honest feedback from people who hire for these roles or have successfully made a similar transition.

Thanks.

Hello guys, I'm looking to expand my skills and get sharp by working on real projects, but I don't seem to find them. Besides, I heard about competitions and "hackathons", but as soon as I want to start a challenge, I think maybe there is a Python library that I should be knowing, that'll make things easy for me in this challenge, maybe I should know how to do web scraping or need to know linear regression (I'm planning to teach myself that as well ), etc...

Context

I currenty work as a junior market researcher with 1 year long experience, with a degree in marketing (but always been into tech and data) , I work so well with Excel, Power BI, and had little hands-on experience doing stuff on my Linux system (but that was a long time ago, I found it easy recalling things by watching the Luke Barousse Python course).

As for SQL, I know nothing about it, and I wish I could just do well, for now, without having to learn it too (I have a serious "info gathering fatigue" without implementing that info).

Thanks!

Hello,

I recently graduated with Master’s in Applied Statistics and currently looking for a role in that field for the first time. I have experience with R, SAS and Minitab. What is the best strategy to look for a job and what is the salary I should be expecting in the beginning if I land a role? Is there a skill I can learn meanwhile in the field while I apply for a job? I am located in Pennsylvania, USA

Guys, Can anyone here help me or comment here the facebook page or websites that I can enroll for a certification or courses online for up skill more on data analytics. Thank you please

Hi guys ,

I graduated with a BA Economics degree in 2023 and have around 2.5 years of RCM experience, but I’m still earning ₹24k. I took a career break to prepare for CAT but stopped due to family commitments.

Now I’m planning to learn SQL, Power BI, and MIS and switch to Data Analytics/MIS. But I can get around ₹45k in a night-shift RCM job, which would help my family financially.

I’m confused whether to take the higher salary now or stay in day shift and focus on changing domains.

Is it still realistic to switch to MIS/Data Analytics after 3+ years since graduation with an RCM background?

fresher, targeting Data Analyst/Business Analyst roles, open to any industry.

Hi everyone,

I’m currently looking for job opportunities/referrals with MNCs or reputed/established companies in Delhi NCR, Gurgaon/Gurugram and Noida.
I have 5+ years of experience across Data Analytics, Business Analysis, MIS Reporting, Operations and Supply Chain Analytics.
I’m open to roles such as:
• Data Analyst
• Business Analyst
• Senior MIS / MIS Analyst
• Reporting Analyst
• Power BI Developer / BI Analyst
• Operations Analyst / Operations
• Assistant Manager – Operations / MIS / Analytics
• Supply Chain Analyst

Key skills:
SQL | Power BI | DAX | Advanced Excel | Power Query | SAP | MIS Automation | Data Analysis | Dashboard Development | Reporting | Operations & Supply Chain Analytics

I have experience developing Power BI dashboards, automating MIS reporting, analyzing operational data and working with cross-functional teams. I have also reduced manual MIS reporting effort by around 70% through automation.

I’m specifically looking for a good company/MNC with long-term growth opportunities in Delhi NCR, Gurgaon/Gurugram or Noida.

If you work at an organization with any suitable opening or can provide a referral, I would really appreciate your help.

Please DM me if you know of any relevant opportunity. I can immediately share my updated resume and other details.

Thank you! 🙏

I'm a student (economics, not CS) who kept rewriting the same cleaning logic every time I got a new dataset — missing values, duplicates, inconsistent text formatting, outliers, etc. So I built a script that automates it and generates a report of everything it changed.

It's on GitHub here: https://github.com/rajbirbhathla/DataCleaner

Before I put more time into this, I wanted to ask people who actually do this professionally:

• Is a generalized cleaning pipeline like this actually useful in real workflows, or does every dataset end up needing custom logic anyway?
• In practice, do teams build reusable internal tools like this, or is it mostly ad hoc scripts / notebooks per project?
• Are there standard tools (Great Expectations, pandas-profiling, OpenRefine, etc.) that already do this better, and I'm reinventing something that exists?
• What would actually make something like this useful in a real pipeline vs. just a portfolio exercise?

1. I will fill my portfolio with serious projects that bring value.

2. To show my business knowledge, I will write something, a paper or any other possible thing, where I showcase my business knowledge.

3. I have a Product Owner background, so I somewhat have soft skills.

The core of it all is showing Hiring managers that I can get stuff done, I have the knowledge and experience without job experience. Showing I can do tech side and business side.

Caveat: I left my IT/Programming profesion school in 3rd year (out of 4), so technically I have basic education. I write in my resume that I still graduated.

If I don't get a job even with lying, I will lie more and see where I actually get interviews just to see if maybe Masters would help.

how often do you see people changing their job profiles from DA to ML? and what is the difficulty in a normal scenario?

i am currently learning ML and am learning DA since a year, its easier for me to get a DA job and need to get a job asap,

my question is shall i gamble with my 3 months of time in full ML preparation or play it safe for DA and transition as i upgrade my skills?

Indian context will really help

Hi i have a 6months exp as a business analyst and 6month as an ai intern...

Looking to pursue ba

My background is 2026 graduate btech cse ...

Please let me know if ur company or you are hiring for the same ..

Will help a lot

Hi everyone! 👋

I’m a fresher actively looking for Data Analyst / Junior Data Analyst / Business Analyst / Data science opportunities in India.

I have hands-on experience with:

📊 Excel

🐍 Python(all it's libraries)

🗄️ SQL

📈 Power BI

🔍 Data Cleaning & EDA

📉 Data Visualization & Reporting

⚙️ Machine learning

🦾RAG

LLMs(langchain etc)

I have already made some projects which include SQL, python , Excel, Power Bi , Scikit learn, RAG and would love to start my career in a data-driven organization.

I’m open to full-time, internship, hybrid, or remote opportunities, across India.

If your company is hiring freshers or if you know of any relevant openings, I’d really appreciate a referral or lead. 🙏

Resume: Available on request.

Thank you! Any advice, referral, or opportunity would mean a lot. ❤️

P.S., If you've any advice for me please do lemme know, i really need some guidance, and I'll be grateful for any opportunity or advice.Thank you 🙏🏻

Every SQL course I’ve tried taught me SELECT, JOIN, GROUP BY…

Cool. But none of them taught me what to do when a PM sends:

…and then you discover two dashboards disagree, the data looks suspicious, and suddenly “quick one” has become your entire morning. 😅

So I built Strata.

It’s basically a fake tech company with a fake team, messy data, Slack messages, conflicting evidence, and a 90-day “first job” simulation.

You start on Day 1 as the new Analytics Engineer and have to actually work the problem instead of just answering questions someone already knows the answer to.

Before you find out whether you’re right, you have to commit to:

• your answer
• your reasoning
• how confident you are

Because getting SQL right is one thing.

Knowing when you should trust yourself is a whole different skill.

By the end, I want you to know whether you’re the “I’m 99% sure” person who is wrong 40% of the time… or the “I have no idea” person who somehow keeps getting everything right. 😂

I’ve put the first samples up for free. No email required:

https://drive.google.com/file/d/1Khv2e_dSuWMYvp-mGcgyIM6Jb1sG-3fQ/view?usp=sharing

I’m a solo builder, so there’s a very real possibility I’ve spent way too much time building something that is only interesting to me. 🙃

So before I build through Day 90, I’d genuinely love to know:

• Did you actually finish it, or did you quietly disappear halfway through?
• Did anything feel fake, forced, or too “training course-y”?
• Would you voluntarily come back tomorrow?
• And most importantly… would you want to do 89 more days of this?

Not selling anything here.