Career questions tagged data-analysis
How does the college or university I attend affect the chances of getting into a desired job??
If I apply for a job, to what extent would they care about the college I attended? Does it matter a different amount for different majors? What about data science?
how technology may play a central role as you imagine your future including education, hobbies, career?
how technology may play a central role as you imagine your future including education, hobbies, career
How to get job on web scraping and automation ?
Hello, I am a university student currently developing my skills in Python web scraping and task automation. As a beginner, I would love advice on how and where to find my first freelance clients or entry-level opportunities. Specifically: Which platforms or communities are best for beginners in web scraping and automation? What should I focus on building in my portfolio to show prospective clients or employers that I'm ready? Are there effective ways to network or find client opportunities outside of traditional job boards? Any tips or guidance on stepping into the field would be greatly appreciated. Thank you
What should a beginner learn before starting a career in data and technology?
I’m interested in learning more about careers in data and technology, but there seem to be many different paths, such as data analysis, data science, software development, artificial intelligence, and business analytics. For someone who is still at the beginning of their learning journey, what skills would be most useful to develop first? Would it be better to start with programming and SQL, or should a beginner first focus on mathematics, statistics, and understanding how data is used in real-world businesses? I’d also like to know how students can gain practical experience while learning. Are personal projects, internships, open-source contributions, or online challenges useful for building experience? What advice would professionals in these fields give to someone trying to decide which path is a good fit?
Advice on Combining Web Scraping and Data Analytics?
I’m learning Python, BeautifulSoup, API requests, JSON, CSV, and Playwright for web scraping and browser automation. I’m also interested in SQL, databases, and data analytics. Can I combine web scraping and automation with data analytics? What skills should I learn next, and what projects would help me build this career path?
how to create a ATS friendly resume for data entry operator job role so that the chances of getting the job increased??
i have created projects using microsoft excel in which i have cleaned messy datasets, created a sales dashboard and a job fair employee dashboard
Please share a day in your life as a Data analyst!
Working hours Daily tasks Software used (Excel, Bloomberg, Power BI, financial software) Meetings Reports Hybrid or office working Teamwork Share everything and anything! Thank You for support!
Data analysts, could share your experience and answer this questions? Thank You very much
What skills are most important? What skills you use every day? What qualifications would you recommend? What are the biggest challenges? What advice would you give someone starting this career?
What can I expect in a career like non-partisan policy analysis?
I am a 15 year old and I enjoy researching in my down time and a drive to solve world issues. In my recent dive into future careers, I found out about a policy analyst career, which I found interesting and, perhaps, too good to be true. I would like to ask professionals about the positives and negatives of getting into non-partisan analysis, which path is best for both my interests in social/environmental issues, and what skills I might need to develop as a current 9th grader, going into 10th grade. A lot of details would be highly appreciated.
How do you stay intellectually curious in a field that can be repetitive or numbers-driven #Spring26?
The field of finance can be imploded with numbers and data heavily,how can you keep prospective curiosity and stay interested and active when thinking about what can be done.
What do you recommend learning/doing as a beginner in data science?
I'm looking for free resources that actually do something or mean something, where I can learn. Codedex blocks you after a couple lessons, so it is not my speed. I want to learn tensorflow, pytorch, SQL, etc... and make projects. Any recs?
Opportunities in Washington D.C. for a potential D.C. College Student?
What business internship opportunities does the city of D.C. offer relating to accountancy or data/financial analytics?
How Can I Find a Mentor to Improve My SQL for Analytics Engineering roles?
Hi everyone, I’m preparing for analytics engineering roles and looking for mentorship in intermediate-level SQL. I want to strengthen self joins, subqueries, window functions, case-based interview problems etc. If anyone working in analytics engineering, BI, or data field is open to guiding or reviewing practice queries, I’d truly appreciate the support. Thank you!
Am in my final year, BEng.Industrial Engineering and am very curious about what kind of short courses i meed to do to up my skills, by the way am passionate about process optimisation, project management, data analysis?
Level 500 BEng.Industrial Engineering students. Looking forward to connecting with industry professionals and help grow in the field. Passionate about data analysis and process optimisation.
How can a recent graduate in Data Science improve their chances of landing a job?
I recently completed my MSc in Data Science, and I’m actively looking for entry-level roles in data science/data analytics. I would love advice on how to improve my resume and what skills or projects recruiters value most for freshers.
Junior Data Engineer vs Data Analyst / Analytics Engineer — which is a better entry path for me?
Hello everyone, I’m seeking guidance on choosing the right entry-level data career path. I want to understand whether preparing for junior Data Engineer roles would be a better option for me compared to Data Analyst or Analytics Engineer roles, especially in terms of getting an entry-level/junior role more easily. My background: B.Sc. in Electronics and communications (graduated in 2020) Volunteered full-time at a non-profit organization since 2021 Last 2 years: managing events, handling emails, and maintaining Excel spreadsheets (tracking data, coordination, reporting) I currently have a career gap in terms of formal industry roles and want to transition into the data field. I’m open to learning required technical skills and building projects. My questions: Is aiming for a junior Data Engineer role more realistic than Data Analyst or Analytics Engineer roles for someone with my background? Which role has a lower entry barrier for freshers or career switchers? What learning path would you recommend based on my experience? Any advice would be greatly appreciated. Thank you!
How much experience do you need to be a Data Analyst? Can someone at an entry level do this job? ?
I wonder what level I need to achieve before being able to pursue this job.
What was something you struggled with when you first started as a Data Analyst? ?
I am student researching different careers, and I would like to know more about the role of a Data Analyst.
What is the best way that I could gain experience to become a sports analyst ?
internships, opportunities,
I do not know? How to get a job?
I don't know how to choose a career. I think a social science career would be easy for me, but I also think I could be an AI engineer or a data analyst.
Preparing for a Master’s in International Relations with a Computer Science background
Hi, I am pursuing a Bachelor’s degree in Computer Science but I want to shift to International Relations (IR) for my Master’s. Since I am from a CS background, what skills or subjects should I start learning now to prepare for IR (languages, politics, history, economics, writing, etc.)? How can I gain relevant exposure while still in college (like volunteering, internships, Model UN, research, etc.) to strengthen my profile? Is it possible to combine tech + IR in any way (like cybersecurity in international security, data analysis in diplomacy, etc.)? I’d love to hear from anyone who has studied IR or works in this field. Your guidance would really help 🙌🏻
Request for Career Advice: Data Analyst vs. Financial Researcher Path?
I completed my undergraduate studies in Economics at an ordinary university. Through hard work, I was admitted to a prestigious university for my master’s degree, which is an excellent institution. However, after enrolling, I realized that most of my classmates had studied at top universities for their bachelor’s degrees, so my background feels somewhat less competitive in comparison. Currently, I am pursuing a master’s degree in Applied Statistics, and I will be entering the job market next year. At this stage, I feel rather uncertain about my career path—whether I should become a data analyst or a financial researcher. I am not sure if my current abilities are strong enough, nor do I know what specific skills I should focus on developing to make myself more qualified for these roles. Another concern is that I have no work experience so far. When I apply for internships related to these positions, I am often rejected due to my lack of prior experience. This situation makes me feel even more anxious about my future career development.
Specialize in Feature Monetization Analytics for SaaS, or Start with General Data Analytics?
Hi everyone, I’m just starting out in data analytics and I really like the idea of working on SaaS products, especially in areas like feature usage and how those features help make money. I’m not sure what’s a smarter move for landing my first job: Should I do a general data analytics course, try to get any analytics job I can find (even if it’s not about SaaS or product features), and just get some experience? Or should I pick a specific path, like really focusing on SaaS, learning all about feature and monetization analytics, and then only apply to jobs in that niche? What’s worked for you or people you know? Is it better to get broad experience first, or does specializing early help you get interviews in your target area faster? I would love to hear any advice.. thanks a lot!
Which BI tools are in demand in 2025 Planning to learn dbt → Power BI — need advice on the best niche and next steps?
I'm aiming to build a career in Business Intelligence. Given how competitive the job market is right now, I’ve decided to learn dbt and Power BI to strengthen my profile and understand the modern data stack better. I come from a non-technical background with a gap after graduation, but I’ve started learning SQL and want to focus fully on the BI side of things—dashboards, reporting, insights, etc. I'm curious to know: 1. How many BI tools are actively used in the current market? 2. Which BI tools are most valuable to learn in 2025? 3. What niche/role within BI makes sense for someone starting out like me and for professional career in future ? Would love any advice from professionals already working in BI—your suggestions will help me shape a clear roadmap. Thank you!
Best IT certs for someone from non-tech background with a 4-year gap ?
Best IT certs for someone from non-tech background with a 4-year gap ? I’m from a non-technical background and I’ve got about a 4-year education gap. I really want to get into the IT field but not sure where to start or what kind of certifications would actually help me land a job in next 6-8 months. I’m kind of interested in data fields. Any beginner-friendly certs or career paths you’d recommend for someone like me? I’m ready to put in the work, just need some solid direction. Thanks in advance!
What are the best resources/platform to learn and practice SQL specifically for preparing to work with dbt (Data Build Tool) ?
Would love to hear from anyone who's already working in this field or has gone through the learning process. Your suggestions and experiences would be really helpful.. thank you in advance! 😊
In 2025, which is better to learn as a beginner in the data field—DBT or Power BI ?
Which one has more demand and job opportunities in the current market?
Becoming a PowerBI Analyst in 2025 — STILL Worth it?
What is the market value today in 2025 for PowerBI analyst/dev/consultant and for bussiness intelligence analyst in India. Is it safe for a fresher with a 5 yrs age gap of education to dive into this field for jobs? What are the chances rate or percentage to get jobs in this field as of the current market state ? I would greatly appreciate your insights on this matter.
Is an internship in an unrelated domain always better than no internship at all?
I am a freshman student pursuing a Bachelor of Science degree in Data Science. I'm currently working on developing my programming skills via various MOOCs and also doing personal projects so I can start applying to good internships related to my field of data science and machine learning in a few months. Our college placement cell is always offering "internships" to students, they are mostly in the categories of either sales related (where we have to call people and inform them about a particular product generating leads) or academic counsellor positions in various colleges in our vicinity. I am very introverted and these kinds of roles do not generally suit me and mostly just stress me out. So coming to my question, while I develop my skills for a proper data science related internship, are these other internships even valuable to pursue, or are they probably just a waste of my time which I could divert elsewhere? (like upskilling in data science areas, or maybe just relaxing to avoid potential burnout)
How would you go about transitioning from a career in accounting to a career in data analytics?
I'm finishing up my bachelor's degree in accounting, but I'm considering transitioning to a career in data analytics. I'm considering getting my master's degree in data analytics. I would love to hear your story about how you transitioned from accounting to data analytics. Thank you!