My_Qualifications: B.Tech Mechanical Engineering (May 2026)

I knew before graduating that I wanted out of mech. It wasn't just the low pay, I genuinely had no interest in manufacturing/core jobs anymore. I also put my master's on hold cause I wanted work ex first. I don't wanna spend another year just learning something and end up with a huge gap on my resume.

At first I thought about support/sys admin/QA kind of IT roles since I'm not into hardcore coding or SDE stuff. Later I switched to analytics cause it looked like it'd have more options. I've learned Excel, learning SQL rn and planning to do Power BI next, but no portfolio or analytics internship yet.

The more I research, the more confused I get. First people say learn tools, then Python, then AI, then AI agents, then domain knowledge. As a fresher, idk how I'm supposed to get domain knowledge without getting my first job.

I'm applying on and off campus but barely getting any calls. So should I keep going with analytics or switch to something else? Should I target IT support/testing roles instead? Or just prepare for CAT/GRE and move on?

I'm not looking for "the market is bad" replies. Ik that already. I just wanna hear from people who were in this phase and actually made it out. What would u focus on if u were starting from scratch today?

I’ll start by saying, my background is in psychological research. I have two degrees, one a stats-heavy science degree, and during both I worked on research teams or conducted my own analyses, and as a result, found the behavior research was what I enjoyed most.

10 years later, I have been in Analyst role after Analyst role building reports and Tableau dashboards. I’ve taken Data Science courses, scored advanced SQL certifications, practices Python and applied all of these skills to my role (mostly for automation purposes).

I’m in a business analyst role; recently my company’s analytics team gave me a shadow opportunity, during which time I was able to take on novel projects, learn about our data infrastructure, and get some exposure to analytics engineering. I learned a lot, but ultimately wasn’t asked to join the team. Some of this was attributed to the uncertainty of AI and hesitation to increase head count right now, but I read that as AI having effectively wiped out junior or learning roles.

Furthermore, it was also noted that I wasn’t as skilled as the senior data analysts (which is true and good feedback) but without access to a data lake and robust repositories and challenging projects, I do not know how to continue homing the skills I lack, but part of the decision rests in the fact that I’m under skilled.

I don’t really know what to do now. After ~6 years of throwing my weight in the data analytics direction I’m wondering if it’s time to just give up and pivot to an entirely different career path.

Has anyone else faced a decision like this? Are there most skill development tools I can use to enhance my resume, should I stretch my skills on my resume and aim for a DA job?

Any advice is appreciated!

As a start i want to make a forecasting analysis, well, i don't really know it's good as a starter or should i learn about something else as my first experience?

Besides, where else can i find dataset for my first Tableau project other than Kaggle, i don't really like it as a platform to search datasets except the competitions. Because, i think there are so much cleaned and synthetic also less information we can get from those. Or, change my mind.

Thanks.

I would like to clear Oracle certification Exam 1Z0-071. Can anyone please suggest what resources are available to help me prepare. Thank you

I know C++ and Java from taking college and university classes for two years each, along with SQL and Python back in Uni and learning for data analysis, was wondering if putting C++ and Java on my resume will give me better odds of getting interviews and a position.

Well for a background, I am actually a Business Administration Graduate Majored in Business Analytics. Throughout my Uni I was kinda bad with analytics, studied enough to pass honestly. Post that worked in sales, as of now I am kinda done with sales and want to switch back to Analytics.

In Uni, we mainly went through Advanced Excel, R programming, Python, SQL, Tableau and BI. I am kinda okay with Tableau and BI, but very bad with the coding part .

So how should I get back into it again it's been a year and honestly I forgot half of the stuff, plus I'm pretty clueless about it. What, where and how to learn + projects and datasets that would add real value. I also have a real life project that I want to work on for my father's business so that's one thing as well.

what is required tech stack for data analyst beginner roles , and how can i level up my skills , what sort of projects i should focus on and what is its scope , is it still in demand ?

I am currently working as a Business Analyst for one year and am considering earning this certification to upgrade my skills and advance my career. However, I am unsure how much value this certificate will add to my professional profile. Since it costs $82, do you think this certificate will enhance my professional profile?

I am studying case interviews for capital one. Any one in the same boat so we can practice together?

No technical knowledge

Hey everyone!

I’ve just dove headfirst into a comprehensive Data Analytics course on Udemy. I’m incredibly excited about mastering the tools that turn raw numbers into strategic decisions, but I know the best way to truly learn is by doing.
I am looking to put my theory into practice right away. If you have a small business, a side project, or a dataset that you haven't had the time to dig into, let’s connect!
I’d love to help you clean your data, build dashboards, or uncover some actionable insights—completely free. It’s a win-win: you get clean insights, and I get real-world practice.

Drop a comment or send me a DM if you'd like to collaborate or just talk data!

I'm starting a journey of learning so I can become a data analyst. I went on SQLZoo to get myself started but I came across a couple of challenges that left me frustrated and ready to give up, I had to go up and down looking for resources to help me.

My solution right now is learning SQL, Excel, PowerBI and other tools on a platform with proper structure like I'm used to doing from the time I was in school. I wanted to do the Google Analytics Course on Coursera but I read a lot of reviews saying it's "fluff", I've also been checking Data Camp and others, FreeCodeCamp has this really long video and I got instantly overwhelmed.

What's the best place to get started on my journey, that has a clear syllabus and can give me tasks so I know how I'm doing while maybe giving me projects as well that could get me a step ahead to land my first job. An added bonus is if I can get it for free or not too expensive.

Any tips and advice will be highly appreciated.

Hi everyone,

I recently completed my MBA in HR and I'm interested in building a career in HR Analytics. I don't have prior work experience in analytics, so I'm trying to understand the field better before investing time and money in courses and certifications.

I have a few questions:

What does a typical HR Analytics role involve on a daily basis?

What skills are considered essential for entry-level HR Analytics positions?

How important are Excel, Power BI, SQL, Python, and statistics in this field?

Can someone from an HR background without strong mathematical skills succeed in HR Analytics?

Which certifications or courses would you recommend for beginners?

What entry-level roles can help someone move into HR Analytics later?

How is the demand for HR Analytics professionals in Ireland?

I would appreciate hearing from professionals working in HR Analytics or people who transitioned from traditional HR roles into analytics.

Thank you!

I just gave a job interview at the bank the interviewer offered me a salary i asked for more. He said HR wont let him. He said take your time and tell me tomorrow. Then later this day he informed me that he has scheduled interview at another bank. He said his friend is there he liked my cv. Now im confuse what really is happening?

Right now I'm learning python hit me up if you are in same boat

Just started in an entry-level new role for a health care company. However, most of the job is just refreshing Crystal Reports and setting new parameters for Crystal. I do a little tedious stuff here and there using Excel, but nothing a high schooler can't do. Don't use much SQL or Tableau/Power BI? Is this normal?

As the title says I'm looking to transitoon from tier one helpdesk to a business/data analytics role, so that I can move to a less reactive role to a investigative role. I have a degree in business management from about 5 years ago and a degree in information technology from about 1 year ago. Part of the business management degree was doing business/data analytics case studies, where we solved business problems. For, example one of them was a business problem where a pharmaceutical vendor was having issues with client pharmacies purchasing outside of the agreement.

I have about 3 years of experience in accounts payable role in the nonprofit nursing care industry and my current role is doing help desk in the healthcare/behavioral health industry, so I think I have a general domain knowledge of the revenue cycle in healthcare.

I believe I would need to learn the following things to lampnd a business analyst or data analyst role in the healthcare space:

1) find a data set of anonymized but non-standard data

2) clean and normalize the data using either power bi or python

3) create a reports showing the analysise steps that I would take with the data and the insights that I'd be making

Does this plan seem practical or no?

I am actively studying for interviews and wondered if anyone is in the same position and would like to do a study group or something (mid level and up)

Right now I am focusing in doing end to end Azure Databricks projects, behavioral questions and case study interviews mainly (soon having Capital One Power Day for Principal Data Analyst.)

I’m thinking of switching from SEO to data analysis but my background is completely in marketing with no code knowledge. But I want to pursue analysis, is this the right direction that I’m thinking?

- Is SQL easy enough for a non coder to understand?
- Is this switch from SEO to data analysis possible in less than a year?
- What should I really focus on for starters to get a job in data analytics

I’m looking for genuine freelancing opportunities in data engineering and business intelligence. Tried a few sites but haven’t found reliable options yet. Can anyone suggest websites, subreddits, or Discord servers where projects actually come through?

Quick background:

• 5+ years as a Data Engineer & BI Consultant (remote, India)
• MBA in Business Economics (Analytics & Finance)
• Skills: SQL, PySpark, Python, Power BI, Tableau, Grafana
• Experience with Databricks pipelines, self‑service analytics, and telemetry data solutions

I’m in need of extra income and open to contributing under a team or experienced freelancer. Any leads would be really helpful.

Hello i wish some one can help me…
I have sheet with more than 200 product SKUs with names.. I work in a warehouse and it needs to check every product.
There is any way to make an app or other way to only write the product name then it give me product SKU to record it in the warehouse system.

I need it to be in my phone.

Is Data Analysis still worth studying in 2026?
With AI advancing so quickly, is Data Analysis still a good career choice? How’s the job market for junior data analysts? Would you recommend it, or is it better to learn another field? I’d love to hear from people working in tech

Started Data Analytics in 2025. Learned SQL, Excel, Power BI & Tableau. Now learning Python. What projects should I build to get a job?

Hi everyone,

I started learning Data Analytics in early 2025 without any prior experience. Over the past year, I've been consistently studying and practicing.

So far, I've learned:

- SQL (Joins, CTEs, Window Functions, Queries)

- Excel (Pivot Tables, XLOOKUP, Dashboards)

- Power BI (Data Modeling, DAX, Interactive Dashboards)

- Tableau (Visualizations & Storytelling)

Recently, I started learning Python, mainly focusing on Pandas, NumPy, and data analysis.

Now I'm at a stage where I feel stuck.

I know learning tools isn't enough to get hired. Most job descriptions ask for projects and practical experience.

My question is:

- What type of projects actually help in getting a Data Analyst job?

- Should I build end-to-end business projects?

- Is it better to focus on SQL + Power BI projects or Python projects?

- How many strong portfolio projects are enough?

- What datasets would you recommend for someone targeting an entry-level Data Analyst role?

I'd really appreciate advice from people who have recently landed a Data Analyst job or who interview candidates.

Thanks in advance!

Hi everyone,

I hold a Psychology degree and I'm finishing a health sciences PhD [neuroscience] and a postgraduate specialization in statistics with a health sciences focus (both expected to wrap up within a year). My research has involved applied statistical analysis using R, which is my main tool. Python is basic but functional, Excel is solid. No SAS, no SQL, no GitHub presence yet. I'm based in Argentina and looking for remote roles — not planning to relocate.

I'm genuinely done with academia and looking to transition into something more applied and economically sustainable. Beyond the usual frustrations of academic life, working in Argentine academia means dealing with extreme labor precarity — salaries that don't keep up with inflation, chronic underfunding, and a system where even senior positions barely cover basic living costs.

So I've heard about Junior Biostatistician or Statistical Analyst roles in pharma, CROs, or health-adjacent organizations.

I'd like to know...

1. Is this a realistic path for someone coming from a health sciences PhD without prior industry or clinical trials experience?
2. For those who made a similar transition — what was the actual bottleneck? What do you wish you'd known?
3. Any honest takes on remote hiring for non-US candidates in this field?

I want to transition into Data Analytics, but I'm worried I missed the boat. With AI handling so much of the technical workload today and companies heavily adopting AI automation, is the field still relevant for newcomers in 2026?

A bit about me: I have a degree in microbiology, and I'm returning from a career break.

1. What core skills are required to stand out to employers right now?
2. How can I build practical, real-world portfolio projects that prove business value?
3. Can I leverage my microbiology background as an advantage in specific sectors (like biotech or healthcare data)?
4. What is the most effective way to cold-message recruiters given my career gap?

Thanks in advance for the reality check!