I am currently in the process of completing the Data Analysis Google Course on Couresa. I was wondering if there was any feedback anyone who has completed it can give.
I am wanting to get into data analysis and change my career.
Any tips?
Hey I got tagged to a project at my organisation for a RETAIL client. They need someone to make sense of their data, find patterns, forecast and explain their data to them so they can try new pricing and discounts depending on the geographical location and price profiles.
I've worked in the past as part of the team where most things were already set up and I just got requirements from a BA and created the workbooks.
This client doesn't have that and I'm the only one here who's gonna be creating tableau reports.
Anyone suggest how to start and do this from scratch?
What key points should I consider?
How should I approach the cloud vs server approach?
How do I join and figure out the data they have cause right now all they have is data in some snowflake server and I have to be the person who uses sql to fetch that.
Any suggestions would be really appreciated.
Hi folks! Any routine or best practices you've done to become data analyst? really want to be so good at it but still learning basics. And ho many months did it take to land your first data analyst job
Any insight is welcome.. thanks in advance ~
Between Data Analysis, Data Engineering, and Data Science & AI, which course offers the best career opportunities, salary growth, and future demand?
has anyone had any success using AI to partially or fully automate insight generation for recurring quarterly/monthly reporting? (Bonus if it’s based on large sets of data) What worked and what didn’t? Would love any advice
I’m a 22F Economics graduate currently working in a decent-paying job, but not learning much and don’t see myself continuing in this long term.
I’ve given CUET-PG twice and don’t expect a top college this time. Not sure if doing masters in Economics from an average college is worth it, especially with weak placements.
I’m interested in moving into Data Analytics, but also worried about saturation/AI impact. I’m not actively looking to switch jobs right now because I feel data analyst roles require a master’s, and even if I switch, I’ll likely need to do a master’s in the next 2–3 years anyway.
My options:
- Take a mid college for MSc Economics
- Continue job + prepare for CAT
- Stay in job + build data skills and switch later
- Try switching to a better job now
Not comfortable taking a full drop due to risk.
What would you do in this situation?
Hi, I'm feeling a bit frustrated and would appreciate your help. I'll be as brief as possible. I want to start a project. I have a fair amount of data analysis knowledge, but I find it boring and tiring to work on dashboards, SQL, etc. It's really tedious. I enjoy it, but perhaps I'm too ambitious. So, I'd like you to give me ideas for really good and ambitious projects. I don't mind how difficult or laborious they are. By the way, it doesn't matter if it involves other languages or frameworks; I'm willing to learn and progress. It doesn't have to be exactly a Data Analyst; I'll provide that expertise if necessary. It's a personal goal and a significant burden I want to overcome. I don't want the typical "data cleaning," "expense management," or "social media app" projects. That's what bores me. I have an idea to automate the rental of soccer fields in my city (since there aren't any here, and everything has to be managed via WhatsApp chat). There's no record, no analysis, nothing, but it's still something that doesn't really appeal to me or fully capture my attention. It's not super difficult or huge, but you know what I mean, something different (well, at least it isn't in my city). So, please, if you could give me some ideas, no matter how far-fetched they are, it doesn't matter, and of course, something that's actually doable. Don't make me create a visual route of black holes and where they lead in space, okay?...
Thanks for reading all this nonsense.
If you need more information or want to keep talking, you can DM me.
I’m the only analyst for a 70-person startup. Every Monday I spend 3 hours pulling Looker exports, stitching them in sheets, adding commentary, and sending to execs + investors. If a Looker tile breaks over the weekend, the whole deck is wrong and I get blamed.
We have dbt models but business users still want the slide version with insights, not just a dashboard link. I tried Looker scheduled delivery but it can’t add the written summary or handle conditional commentary.
How are solo analysts automating the last mile of reporting without becoming a PowerPoint factory? I need my weekends back.
Hey guys! I’m ready for my big break as a data analyst! I’m willing to go hard and actually obtain a great position doing this and going beyond. I just really need something semi entry level. I’m willing to learn any free resources anyone is willing to share or tips. I’m getting interviews but recruiters are looking for technical skills that I don’t have. Right now I’m doing LinkedIn learning paths. I’m doing the data analysis one, the master of excel one an and financial analysis one. After I’m done with all of those extensive learning paths I’m going to go through the Alex the Analyst course on YouTube. Seems like everyone is looking for experience so I’m looking to be an expert without real world experience. At least I’ll be able to speak the language and understand the concepts.
PLEASE HELP I have my bachelors degree in Economics!
What is wrong with my resume? I have applied for 200+ job positions from roles data engineer to data analyst. Not a single response back.
Please help
What is wrong with my resume? I have applied for 200+ job positions from roles data engineer to data analyst. Not a single response back.
Please help
I’ve been working in data analytics as an analyst at a company for about 2 years including my summer student position (so 1 year full time). I have my Master’s in data analytics. I currently make about $80k and I just got approved for a promotion to a senior analyst with a pay raise. My company is asking me to fill out a form for an “internal transfer” and it asks me to put my expected salary range. I just don’t know what a reasonable raise amount is. I saw a job posting for a senior analyst at my company a few months ago and the salary range was above $100k. Is $90k+ an appropriate range to put down?
hey! i want to begin my journey for data analytics i want 2,3 people to start with me for the consistency and productivity (ps: i know python or SQL just going to revise)
DM me
(guys check your DM )
Building a conversational analytics software from scratch has made me question a lot of assumptions around BI.
I'm starting to think the real shift isn’t chat instead of dashboards, It’s removing the dependency chain between business teams, analysts, and engineers while still keeping answers governed and trustworthy.
The surprising part is that I'm seeing pure conversational UX break down quickly in real workflows/use cases. Users seem to want a mix of AI guidance and manual control much over fully autonomous analytics. people seem to trust the AI more when they can intervene and refine the result rather than just accept a generated answer.
Is anyone else seeing the same thing?
Hey all!
I am currently a second-year psychology student in university in Ontario, and I have a passion for analytics and data. Was wondering what a career path in data analytics might look like for someone on the path that I am on. Being around sports my entire life, I understand sports analytics and how to interpret them, but real world data (SQL / Python) I am still unfamiliar with.
Is data analytics a world worth chasing at this point? Or should I chase the financial analyst side of things.
Let me know!
Any data that gets heavy with numbers whether business related, or otherwise, gets difficult to digest real quick. I find that if you have to work with a lot of such data, it gets mentally fatiguing.
There are a lot of tools that visualize such data for you, but I'm curious to know which ones most of you prefer (is it a layer above your database provider, or something more modular like metabase?), and what your workflow is around such tools. I'd also love to know what your favorite feature in your preferred visualization tool is.
I’m Thenmozhi, 22F from Tamilnadu . I completed my MBA in Finance and Business Analytics and have around 1 year of experience in Business Analytics.
Currently, I’m looking for Data Analyst opportunities. I have skills in SQL, Excel, Power BI, and basic Python, and I’m continuously improving my analytics skills through self-learning and projects.
I’m looking for referrals, job opportunities, and career advice from people working in the data analytics field. Any guidance or support would really help. Thank you!
Hi everyone,
I’m 35F with a BTech background, but I never really worked in the tech field. I was in sales for a brief period, and now I genuinely want to transition into Data Analytics.
I’ve started learning on my own and currently know:
I’m still very much a beginner and don’t claim to know everything.
What I’m really looking for is someone experienced in the field who can guide me step by step. Not necessarily daily teaching, but more like:
Basically someone who can provide direction and roadmap clarity because right now the internet has TOO much information and I feel lost trying to figure out the correct path.
I’m willing to put in the work no matter how hard it gets. If someone tells me what to do, I’ll get it done somehow. I just need proper guidance and accountability from someone who has already been through this path.
Would really appreciate any mentor, guidance, roadmap suggestions, or even honest advice from people already working in Data Analytics.
Thank you.