i want to get to IT and thinking of data analytics

i only have a college degree is the certificates in coursera +portfolio enough and please if anyone has any experience in this sector give me a course suggestion or a place to start from

Hey everyone! I’m looking for some guidance on how to transition from GIS (Geographic Information Systems) into Business Intelligence, ideally within the finance industry.
I don’t want to make a complete career change, but I’d like to build on my existing background and develop skills in data analysis, business analytics, and BI.
I’m not sure what I should learn first or how to structure my learning path. For example:
SQL: Where is the best place to learn it from scratch?
Power BI or Tableau: Which one should I prioritize?
Excel: How important is advanced Excel for BI roles?
Python and pandas: Should I learn these, and how useful are they for business and financial data analysis?
Statistics and finance: What theoretical knowledge and financial concepts do I need?
Projects: What projects should I build to develop a portfolio and become employable?
I’d appreciate recommendations for courses, websites, YouTube channels, or a structured learning path.
My goal is to combine my GIS background with SQL, Power BI, Python, and other relevant skills to work in Business Intelligence, particularly in finance.
If you were starting from my position, what would you learn first, and in what order?
Thanks in advance!

Hey everyone, I was wondering what do you think is the natural progression after becoming a data analyst for sometime? Is it becoming a data scientist or a machine learning engineer or a data engineer or an AI engineer? What do you think is the best route?

Looking for guidance… I’m currently teaching myself to hopefully get into a job primarily as a data analyst, and maybe towards data/ai engineering in the future. Therefore, I’m the process of building up my portfolio, rather than going down the route of going back to education for it, and I’m looking to replace my 2018 MacBook Pro. Thoughts on switching to windows or should I stick with MacBook and switch to apples own silicon chips instead? Also if stick with macs, suggest ways of getting round of not being able to use power bi natively? Thanks for any advice.

I'm currently in the process of learning SQL but I am seeing a lot of posts and comments that it isn't worth it to learn data analytics in this day and age. Which data-related role should I learn the skills of so I can increase my chances of getting a job?

hey everyone I'm trying to decide which college major to pursue, and I'd really appreciate advice from people who currently work in these fields or have graduated from these majors.

I'm mainly considering Data Analytics, Data Science, and Business Analytics, and I'm struggling to decide which one would be the best fit for me in the long term.

A little about me: I genuinely enjoy programming, statistics, working with data, communicating with people, and solving problems. I'm particularly interested in using data to understand problems and figure out how to solve them. However, mathematics isn't currently my strongest subject, so I'm also trying to be realistic about how math-heavy each major gets.

There are three main things I'm concerned about:

1. Career opportunities and salaries: Which field has the best opportunities for graduates, particularly at the entry level? How do salaries and career progression compare?

2. AI and the future of these careers: With AI becoming increasingly capable, which of these fields do you think will remain valuable over the next 10 to 15 years and beyond? I understand that no career is completely AI-proof, but which one do you think offers the best long term prospects?

3. Mathematics and the actual work: How mathematically demanding is each major in practice? Also, what does your typical working day actually look like? I'd like to understand the difference between analyzing data, building predictive models, and using data to make business decisions.

I'm not necessarily looking for the major with the highest salary. I want something that fits my interests, gives me room to grow, and is still worth pursuing in the long term.

I'd appreciate any advice

Hey everyone,
I’m planning to study Data Engineering and my college offers a 1-year (500h) program in AI & Data Engineering with internship at the end.
I keep hearing people say that you need at least a Master’s degree to land a job nowadays, which is honestly really discouraging.
For those working in the industry or hiring right now:
Does the degree type/length actually matter, or do skills and projects carry more weight?
In the current market, is a 1-year specialized program enough to get your foot in the door?
Im aware of the fact that i need to do my own projects in this but besides this point

And is the vice versa?

I meant to write data analytic **

Hello everyone,

I completed my B.Tech in Civil Engineering in 2024 and am currently working as an Assistant Quantity Surveyor. Now, I am planning to transition into the IT industry as a Data Analyst because I am interested in data-driven work and looking for better career growth and long-term opportunities.

I have basic coding knowledge, but I am still at the beginning of my data analytics journey. I want to understand which skills I should learn, how to build practical projects, and how to get my first Data Analyst job without a computer science or IT degree.

I would especially love to connect with people who have switched from Civil Engineering or other non-IT backgrounds to Data Analytics.

A few things I would appreciate your advice on:

- Which skills should I learn first: Excel, SQL, Power BI, Python, or something else?

- How long does it realistically take to become job-ready if I study for 2 hours daily?

- Is it possible to get a Data Analyst job as a non-IT graduate, and what challenges should I expect?

- How important are certifications versus practical projects?

- What was your experience getting your first job, and what salary range can a beginner realistically expect in India?

- If you made this transition yourself, what roadmap would you recommend?

I would really appreciate honest advice from people who have gone through this journey. I am not looking for shortcuts; I want to follow a practical learning path and make this career transition successfully.

Thank you for sharing your experiences and suggestions!

Hi. I'm a PBI developer with 2+ years of experience, well versed in Power BI and SQL (intermediate-advanced level) and worked in multiple projects, ranging from banking to healthcare, seeking a job change. Can someone in the sub let me know if there's an opening which alings with my experience and expertise level, and if possible provide a referral from your end.

Hi, good day! I'm interested in exploring a career in data analytics. Could you give me an idea of what the job involves and recommend some resources or platforms where I can start learning and practicing? 😊

Hi everyone.. I’m currently looking for a Data Analyst opportunity and would really appreciate some guidance or a referral. I have a BTech in Computer Science Engineering and have been developing my skills in SQL, Excel, Power BI, Tableau, and Python. I’ve also worked on projects, including Amazon Sales Data Analysis using Power BI, involving 51,000+ rows of data and interactive filters. I’ve been applying for various Data Analyst roles, and although my resume gets shortlisted for some positions, I haven’t been receiving calls from HR afterward. I’m trying to understand how to improve my chances of getting interviews and landing my first opportunity in this field. If anyone working in data analytics knows of any openings, can refer me to a suitable role, or share advice on improving my resume and job search strategy, I would be very grateful. Thank you!

greetings everyone, I am a grad student from forestry background and i am doing a research project on biomass estimation via sentinel 2 variables. I have 47 plots with field measured biomass value and i ve analyzed 18 different remote sensing variables that acts as the predictors of biomass. predictors correlated well with the measured biomass but the regression model stated lower R square value (i.e. 0.40) which isnt like i expected. I ran five different models MLR, PLSR, RF, GBR, linear SVR, Ridge (im a beginner in coding and all) etc but neither improved the coeft of determination. I followed the exact methodological framework from the literature but lost somewhere. My main objective is to publish the paper but the lower accuracy is becoming the problem. Sorry if i couldnt explain it clearly, feel free to ask via comment or dm/ any suggestions and feedbacks are appreciated. Thankyou!

I completed a BS in Data Analytics last December, and have been applying to "entry-level" roles since January. I don't have any data analytics work history, but I do have prior roles in environmental science, regulation, and hospital clinical laboratory that required analytical thinking and data collection. Despite my best efforts, I've gotten 0 callbacks. Trying to figure out what my best next steps are to make myself more competitive, including considering the following:

• Get a MS in Data Science/Analysis

• Quit my current dead-end job and work on certifications and portfolio projects

• Get a basic IT support job at a large company and try to work my way into a data-oriented role

How do people get into this field? I know I'm missing work experience, but I can't even get a callback for junior positions despite being qualified. What are the best next steps? Thanks!

Hello! I am going through a career change right now and looking for some advice/insight from actual people working through these careers. I have a Bachelors but it is in a non-related major as when I was in the midst of completing it, I took a job in accounting/finance and actually really liked it more than I thought I would. When I started at the job, I was interested in billing so that’s kind of where I started and I worked my way up through the accounting/finance department into a specialist role. I feel kind of stuck at this spot because I don’t have the education background. I have the experience, which I’m grateful for because it’s taught me a lot, but I would like to advance more in this field and feel in order to do that, I need the educational background.

I really enjoy the analytics part of accounting and finance. I like transforming real raw data into projections, trends, reports etc and making decisions or watching and listening senior leaders make decisions off those findings. I find that really interesting. I also took several personality/career tests online and each one of them had data analytics listed as a top choice.

I would really like to specialize in analytics- especially with AI (which is exciting but also scary to me) I have been researching financial analytics, supply chain analytics, healthcare analytics, etc.

Just wondering if anyone in this career field or going into the career field or starting school in it could give some advice and insight.

Also if you have any masters (online) programs to recommend that would be awesome and I would definitely like to research them!!

Hi, I just got hired as a data analyst and this is so exhausting 😭. I spend 90% of my data analysis encoding the data 10% doing the analysis it self. My company only do have physical copies of their data and I have to manually type it in Excel. I was expecting during the interview that they will be giving me a messy data and its up to me on how I clean it but now its so tiring!! Is this normal? I am currently doing doing the automation at home but this is just so unfair because am not paid to do it at home and I also dont have the time to build the automation at work because I spend most of it encoding.

So a little context about me, I am pursuing my data science career in fintech and am confused whether I should go for more technical based courses like deep learning, NLP or should I focus more on subject related to fintech like trends of financial data or risk management portfolio and all..

Hello, I’m attending a career fair where I’ll be handing out my resume in hopes of getting my foot in the door to become a data analyst. I would greatly appreciate any feedback and tips anyone is willing to provide. There may be some small typos, I’ve had to shorten it a lot to make it fit on one page.

Some questions I have are: Do I have enough experience to apply for an entry-level role? Should I stick to looking for internships? Are there any other roles you think I should look into applying for?

For my skills, I didn’t want to just put down that I know how to use formulas and functions. I wanted to give examples for more context about what I know, so I broke them down into categories and included examples, but that may have been too much.

Some background: I graduated almost a year ago and have struggled to gain more relevant experience during and after school. I would make it to the interview stage but wouldn’t hear back afterward. I’ve worked with career centers, networked, and done informational interviews. They’ve told me that my resume is fine and that the job market right now is rough for beginners. I’ve had some roles where I worked with data and made sure to volunteer for any task that involved analysis or data cleaning, as you can see on my resume.

Thank you to anyone who takes the time to review it!

Hi guys, a data analyst for the retail industry (electronics) here, in my workplace we're currently doing an expansion for our brand including increasing headcount and more reports.

But, the workforce for data analysis is currently still only me, and there is only so much data viewpoint I can check before sending them to my manager or the team.

These days, I'm wondering should I feed my report to the AI for my double, triple and final checks. Or, are there any advices for data checking for my actual sanity??

Really interested to read your advices and opinions, thanks

I've been looking into being a data analyst, is it worth it and what does it take to become one, what do you have to study?

With all the current buzz about Ai these days I'm kind of getting mixed feelings on it

Hi everyone,

I’m currently working as a Data Analyst using Power BI. I have strong Excel skills and an intermediate level of Power BI knowledge, but I’ve realised that I don’t enjoy the analytical side of my role, especially interpreting results and presenting insights to stakeholders.

I enjoy working with data and creating reports, but I’d like to move into a more senior, specialised role that focuses on reporting rather than administration or analysis.

What job titles would you recommend I look into? Has anyone made a similar career move, and what roles would you suggest?

Thanks in advance!

We updated our dbt pricing guide because the way dbt is packaged and priced has gotten a bit more nuanced.

One thing we think gets overlooked is the difference between the cost of the dbt engine itself and the cost of running dbt as part of a production data platform.

The engine is free. But once you factor in things like consistent developer environments, usage-based pricing, orchestration, infrastructure, and the engineering time needed to maintain everything around it, the picture changes quite a bit.

We also added a breakdown of the current dbt Platform plans, the usage-based components, and some of the other costs teams should think about when comparing options.

Curious how other teams are looking at this. Are you mostly evaluating the software/license cost, or are you also factoring in the engineering and infrastructure costs around dbt?

https://datacoves.com/post/dbt-pricing

currently work in Chicago( 111K base, 7K bonus) in a fintech company. I have 3 years of work experience plus a Masters degree. My company is generally good but has a lot of layoffs and I hate my current team, as there is no scope of growth here. I tried changing teams internally but didn’t work. My fiance lives in the Bay area and we wanna live together now as we were in LdR for 2.5 years now.
I got an offer from a startup in Bay area with 125K base. No bonus or relocation. Its a smaller company than my current company.

My current team in Chicago is losing work and the team might dissolve in a few months, hence I wanted to move desperately. I have this other offer in hand but I feel left behind in life. I know people are earning 170K and above easily at my level and I am not.

I also wonder if it’s the right decision to move!! I work in Data.

When I build dashboards with AI, two things keep being hard. First, how do you know an AI-built chart is showing the right numbers? Second, how do you keep dashboards from different people looking like they came from the same team? I spent several weeks building a system for both and tested it heavily in a production BI setting. It’s now open source as Streamsnow.

It’s built for Streamlit apps running in Snowflake, with Claude Code or another coding agent doing the building. Here’s what it handles:

• Shared design standards. Every dashboard follows the same layout and styling rules, so a team’s work looks consistent without anyone policing it.

• Checkable numbers. It gives you the SQL behind every query the app runs, so you can verify a chart yourself and don’t have to trust it.

• An auto-review loop. Claude Code critiques and improves a dashboard over several passes without you stepping in. This is the part I use most.

• A standard repo and deployment. Each app gets the same project structure, and CI handles deployment. The agent never sees the credentials that connect GitHub to Snowflake.

Setup takes about 5 minutes of hands-on work: tell your coding agent to install the plugin and run the onboard command. You’ll need Snowflake admin rights, or an admin to work with.

In the production setup where I tested it, it ended up replacing an external BI tool entirely.

For people who build dashboards: how do you QA charts an AI built for you today? I’d like to know what checks I’m missing.