Career questions tagged datascience
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!
How to start studying AI and data analytics as a marine biology graduate with limited knowledge in mathematics and computing ?
I would eventually like to merge my expertise in marine science with the ever evolving AI and data science sector, but I am basically a beginner at computing and mathematics.
About learning to be a data analyst!
I need to know if I'm doing what's right to become a data analyst, I've been writing down notes of the video tutorials, but I don't know if I'm progressing, please give me the right tools to make sure I become a data analyst, I've been using Udemy.com for training , please reply
How do I learn Quantum Computing from scratch?
Are there any resources to get started in Quantum Computing, for a person not having a heavy math or physics background? Or is it necessary to know all the math and physics involved, to get into quantum programming? I am an undergrad studying Data Science currently.
How to receive my first internship as a college junior?
As an incoming junior, how can I receive my first internship to break into business, finance, computer science, or data analysis roles? I come from a non target school and am a first generation college student.
What are some good research papers I can start reading as an freshman undergrad student majoring in Data Science?
Are there any research papers relating to machine learning / artificial intelligence / blockchain / web3 / data science, etc which can serve as a kickstarter for me to these fields as well as improve my skill of reading research papers
How do I learn how to write research papers as an undergrad freshman with no research experience?
I am pursuing a bachelor of science degree in data science. I want to be able to write and publish research papers, however any research papers I look into is very complex for me to understand. How do I overcome this barrier quickly? Any suggestions of introductory research papers I can start with (data science, machine learning, artificial intelligence, blockchain, web3, etc) would also be very helpful.
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?
How will I be able to apply Statistics and Data Science to Astronomy?
I'm a high school senior who will be attending University in fall. Analyzing data to predict the future has always been a fascinating concept for me, but so has Astronomy. I want to combine my interest of the two, but I'm not sure how I should go about it.
What are your thoughts on models and neutrality? #Spring25
Do you think that a model can ever stay truly neutral from the data that it is fed or will it always have some sort of human bias?
Data Analyitcs Minor or Data Science Minor?
Hey! I recently got into the Global Public Health major at my school. I was wondering what the benefits of a minor in Data Science or Data Analytics are, and which one do you think would be more beneficial in order to work with Global health data and policy in the future? (p.s. Im also pre-med!)
Is becoming a data analyst worth it?
My major is Data Analytics and I have about one more year before I graduate. I don't love data but I heard this is a good career. It seems every business could use a data analyst.
What is the role of AI in transforming IT services and infrastructure?
1. Why is data visualization important in IT services, and how can I learn more about it? 2. How do IT professionals collaborate with other departments in large companies?
What do you wish someone told you before you started working in data analytics?
Hello! I am an upcoming Fall 2025 university student majoring in Statistics with a potential minor in Public Policy/Computer Science looking to work in data analytics, preferably in the healthcare field. I would love any advice, tips, or lessons you've learned along the way--or things I should start preparing for before my first semester in college!
What resources/materials were invaluable on your journey to becoming Data Analyst/Scientist?
Currently, I’m doing research on the best materials for studying Data Analytics/Science. I’m keep seeing recommendations for courses from Google and IBM and book “ Practical Statistics for Data Scientists”. Are they really that good and important? What would you recommend me on my journey? Any books/courses? Anything else that you think is underrated and would help me to out stand in the current job market? Thank you!
What are the most useful and/ or beneficial majors to support a career in data science?
I am looking to study data science in college starting next fall and have the option to choose a double/ combined major. What are the most useful and/ or beneficial majors to support a career in data science and open up more opportunities? Thank you! #Spring25
Is a career in Data Science still worth it?
I’m interested in data science, but unsure if it’s still worth a try with the AI, job cuts and competition. I keep seeing news about CEOs saying AI will replace people and do all the work. The layoffs also make me doubt if I should pursue this career.
Which programming language is better for Data Science: Python or R?
Which programming language is better for Data Science: Python or R?
Which path should i choose?
I have completed degree in electrical and electronics then add on course in EMBEDDED SYSTEMS and DATA SCIENCE. While now i'm in dilemma where should start my career in embedded or data.
bachelor in data science
would it be wise decision to do bachelor in Data science from RMIT in Australia? Or should i go for general IT or CS? which one has more job opportunity after graduation in Melbourne?
How do i get my resume shortlisted for an entry level Data Science role?
I graduated with a computer science engineering degree in July 2024. Please review my resume and how should i improve it to get shortlisted for data scientist roles as an entry level candidate. I am going to add a few more projects soon. Also suggest a few projects that would stand out. Resume link: https://drive.google.com/file/d/15kuiqCqPn4g9iBC7CkVg-n-dmlpdZJ_E/view?usp=drivesdk
What should I be currently doing if I aspire to work as an analyst graduating in March 2025?
I have background in biochemistry with working as a tech and lab chemist with experience in data entry.
The Role of Deep Learning in Data Science?
Deep learning has revolutionized the field of data science, unlocking possibilities that were once thought impossible. As a subset of machine learning, deep learning utilizes artificial neural networks to simulate the workings of the human brain, enabling computers to identify patterns, understand complex data, and make intelligent decisions. Its applications span across various industries, making it an integral part of modern data science.
What is Data Science & Advantages and disadvantages of Data Science?
What is Data Science, & Advantages and disadvantages of Data Science Data Science is a multidisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines statistics, machine learning, programming, data visualization, and domain expertise to make sense of vast amounts of data and drive decision-making.
Data analyst or SalesForce Platform Developer?
How can I effectively transition into a data analyst role with my master's degree in IT and Tableau Desktop certification? What specific skills or experiences should I focus on developing to strengthen my application? Additionally, I’m contemplating whether pursuing a career as a Salesforce developer might be a better fit. Which field is likely to offer faster job opportunities, and what are the key differences between these two paths in terms of career growth and alignment with my background and goals?
What is a neural network in data science?
What is a neural network in data science?
Difference between different specializations in data science?
Currently I'm interested in learning more about data science. So I was wondering about the different specializations in data science such as NPL or computer vision. And what careers might be in these specializations.
What role should advanced technologies like AI and data analytics play in the recruitment process?
To master talent acquisition challenges, leaders must address several key areas: 1. Competition for Talent: Embrace innovative recruitment methods like targeted social media campaigns and strategic educational partnerships to attract top candidates. 2. Alignment with Objectives: Ensure new hires align with the agency's long-term goals and cultural values to support sustained growth. 3. Candidate Expectations: Develop a strong employer brand that highlights corporate values, work-life balance, and career development to attract and retain top talent. 4. Technology Integration: Utilize AI and data analytics to streamline recruitment while maintaining a personal candidate experience. 5. Diversity and Inclusion: Implement strategies to attract diverse candidates and create an inclusive work environment to foster innovation and employee satisfaction.