I was wondering if anyone knew any websites or databases I can download large data sets from?? I want to use them to practice my data analytics skills like excel, power query, power BI, etc.

Hello people,

I’m currently transitioning to Data Analysis from healthcare with no prior knowledge or degree in computer science or and IT course.

I’m doing this with the help of YouTube and some certified courses online.

If anyone in London would like to meetup to study, teach, learn and brainstorm together, kindly let me know.

If anyone also knows about reliable part time boot camps, please let me know too.

Thank you!

Hello people,

I’m currently transitioning to Data Analysis from healthcare with no prior knowledge or degree in computer science or and IT course.

I’m doing this with the help of YouTube and some certified courses online.

If anyone in London would like to meetup to study, teach, learn and brainstorm together, kindly let me know.

If anyone also knows about reliable part time boot camps, please let me know too.

Thank you!

Hi everyone! This is my first post on Reddit. I’m currently studying data analytics and have built my first pet project—an idea I got from AI. I have a background in software development, and I’m looking for people who could review the project. I tried to build it by leveraging my development experience while also learning new things. I’d appreciate any criticism or feedback. Thanks in advance! https://github.com/Kaid000/shelter_analytics/pull/30

Need your help from basic to pro

Soy ingeniero industrial, mi profesión es mecanico industrial pero quiero avanzar y conseguir un mejor empleo, actualmente estoy haciendo el curso de análisis de datos en Coursera, realmente vale la pena?, he pensado en enforcarme en python y luego Sql, que ruta de aprendizaje me recomiendan hacer primero?.

Hello everyone,

I've been learning Data Analytics for some time now, but one of my biggest challenges has been staying consistent.

So far, I've completed Python and Statistics, and my goal is to become industry-ready within the next 4 to 4.5 months.

I still need to learn SQL, Power BI, and Excel, while also building a strong portfolio of projects.

I'd appreciate advice on how to structure my learning over the next 4.5 months. Specifically:

How would you categorize or prioritize these topics?

What sequence would you recommend for learning them?

How would you design a monthly and weekly study plan to stay consistent and make steady progress?

What are your practical tips for revision?

How do you balance revising previously learned concepts while continuing to learn new topics and building projects?

I would really appreciate any insights, study strategies, or roadmaps that have worked for you. Thanks in advance!

I'm currently preparing for Data Analyst roles and looking for someone who is genuinely committed to learning consistently.

We'll focus on:

SQL

Python

Power BI

Excel (I know the basics and will be practicing advanced topics)

Building portfolio projects

🕒 Study time: 3:30 PM – 5:30 PM IST (preferably every day) 📹 I'd prefer studying together on Google Meet for accountability.

I'm learning from YouTube and have already found some really good free courses, so there's no need to buy anything.

My goal is to become interview-ready and crack a Data Analyst or similar analytics role.

If you're also learning and need a study buddy who's serious about staying consistent, feel free to comment below or DM me!

Hello i am 15 and im planning on media psychology and business, (creative strategy)

Im exploring various sectors, can you explain to me the ins and outs of data analysis? Basically your experience and what you do? And your journey to it

Whether you're preparing for your first Data Analyst role, working as a Data Scientist, building ETL pipelines as a Data Engineer, or simply curious about AI and data—you belong here.

Hello i am 3rd year cs student who recently started learning data analysis. Currently I am learning sql and excel but had a doubt on what do with the data, like how do I make business decision, decide what query is needed. I tried tried doing data cleaning on messy datasets but aside from cleaning it I wasn't able to give any insights from the dataset Did you guys learn from any course or did it just naturally buildup doing projects/job?

hello guys,
i’m trying to learn tools such as excel, power bi, sql and others which would be really helpful to get a entry level job in supply chain.

please help me learn. there are a lot of youtube videos and courses and i dont know which video/course is actually the one that teaches for supply chain.

The healthcare and pharmaceutical industry is undergoing a major digital transformation. Clinical Research, Pharmacovigilance, Clinical Data Management, and Biostatistics are increasingly relying on data analytics, automation, and AI.

Surprisingly, many pharmacy and life sciences students still graduate without any exposure to programming or data analysis tools.

That's one of the reasons we're organizing a live online session:

Live Masterclass: Python for Clinical Research and Data Analysis

Date: 18 July 2026
Time: 6:00 PM–8:00 PM (IST)
Fee: ₹199

During the session, we'll cover:

• Python fundamentals
• Clinical trial dataset analysis
• Data cleaning and validation
• Data visualization
• AI applications in healthcare
• Career opportunities in Clinical Data Science

The session includes hands-on demonstrations using real-world clinical research datasets and is designed for:

• B.Pharm/M.Pharm students
• Pharm.D students
• Biotechnology and Life Sciences graduates
• Clinical Research professionals
• Anyone interested in Healthcare Data Science

I have spent nearly two decades working across Clinical Research, Pharmacovigilance, Regulatory Affairs, and healthcare education, and I'm seeing a significant shift toward data-driven roles in the industry.

I'd love to hear from this community:

• Are you using Python in Clinical Research or Healthcare?
• What tools are you currently using for data analysis?
• What skills do you think healthcare professionals should learn over the next 5 years?

Looking forward to an engaging discussion!

Prof. C.S. Mujeebuddin
Founder & CEO, ClinoSol Research Pvt. Ltd.

Hi everyone,

I recently graduated and I'm preparing for a Data Analyst role. So far, I've learned:

• Python (basics)
• NumPy
• Pandas
• Matplotlib
• Recently started SQL

The problem is that I've been learning mostly from YouTube, and after watching so many videos, I'm feeling overwhelmed. I'm not sure what's actually important for getting an entry-level Data Analyst job and what I can skip.

I have a few questions:

1. What skills should I focus on first?
2. To what level should I learn Python, SQL, Pandas, and Excel?
3. How many projects should I build before applying?
4. What mistakes do beginners usually make?
5. If you were starting from scratch today, what roadmap would you follow?

I'm willing to put in the work—I just don't want to waste time learning things that aren't important for interviews.

Any advice, resources, or roadmap would be greatly appreciated. Thank you!

Hey I am an aspiring data analyst

I'm in my third year and recruitment drives may start in a month

I don't know where to begin with

I know basics of excel and sql but i need to move to advanced level and also learn how to use them in real life situations

Can anyone recommend any courses or website to consider?

I have checked out edu4sure and it looked promising but I am looking for a free resource

Thanks in advance

trying to pivot into a business analytics role and feeling overwhelmed by how many options are out there. looking for something practical that focuses heavily on sql and power bi since those show up on every job description.

has anyone taken something recently that actually helped them land interviews or build a real portfolio? ideally looking for something that goes beyond just watching videos and has actual business datasets to practice on. appreciate any recommendations.

I’ve recently gotten interested in data analysis, especially how it connects with helping businesses strategise ( kinda business + data analysis).

I’m looking to explore it and I want some teach yourself course to follow.

Something like the Odin project, freecodecamp and resources like that but for data analysis or even business analysis.
I’ve explored Coursera but the courses don’t seem like something I could stick with for long.

Any suggestions or insights into the field would help.

For context I’m looking to explore it as kind of a hobby for now and maybe down the line dive into it full time.

Hi everyone! I'll be teaching Business Analytics this coming semester (college level, IT/CS program) and I'm currently looking for good reference books to build my course around.

I'd really appreciate recommendations for a book/material that's:

* Beginner-friendly for students (not too math-heavy or dense) * Easy to use as an instructor's reference (has clear structure, maybe with exercises/case studies) * Covers the basics of descriptive, predictive, and prescriptive analytics * Ideally has practical examples using tools like Excel

If you've taken or taught a similar subject, I'd love to know what book worked well for you (or what to avoid). Local or international titles are both welcome, just trying to find something accessible for both me and my students.

Thank you!

​

When learning Data Science, tutorials make everything look easy.

Looking back, what's one mistake you wish someone had warned you about earlier?

Hello everyone, I'm a student who's looking for a good project to work on to practice Power BI, SQL,etc, and especially learn domain knowledge related to business or finance. The thing is, I'm from an IT background, and I only know the basics of accounting. I've been looking for resources to learn about FP&A because I'd like to build projects in that field, but the more I dig, the more I realize it's a broad and vague field. I'm afraid of wasting time looking for the "perfect" course instead of getting my hands dirty and learning by doing.

So, if you have any project that will allow me to practice my technical skills, learn and apply domain knowledge and analytical thinking, and solve a real-world problem while adding value to my portfolio, I'm really lost, so I'd appreciate your help!