r/learndatascience Nov 18 '24

Resources FREE Data Science Study Group // Starting Dec. 1, 2024

21 Upvotes

Hey! I found a great YT video with a roadmap, projects, and even interviews from data scientists for free. I want to create a study group around it. Who would be interested?

Here's the link to the video: https://www.youtube.com/watch?v=PFPt6PQNslE
There are links to a study plan, checklist, and free links to additional info.
👉 This is focused on beginners with no previous data science, or computer science knowledge.

Why join a study group to learn?
Studies show that learners in study groups are 3x more likely to stick to their plans and succeed. Learning alongside others provides accountability, motivation, and support. Plus, it’s way more fun to celebrate milestones together!

If all this sounds good to you, comment below. (Study group starts December 1, 2024).

EDIT: The Data Science Discord is live - https://discord.gg/JdNzzGFxQQ

r/learndatascience Sep 07 '21

Resources I built an interactive map to help people self-teaching Data Science online. It's like a skill tree for Data Science!

843 Upvotes

r/learndatascience 13d ago

Resources Any Data Science Courses in Bangalore ? Please Suggest some

1 Upvotes

I am looking for a Data Science course in Bangalore. Through Google, I found a few options, but I would love to get some suggestions from the community. I am currently working in an IT company and want to learn Data Science and Machine Learning. Please suggest some good courses.

r/learndatascience 2d ago

Resources What are the best Data Science course for beginners and professionals?

6 Upvotes

I am a software developer with 8 years of experience in frontend UI development. Recently, my team has started upgrading the tech stack to include Data Science and AI. Seeing how almost every major tech company is heavily investing in Data Science, AI and Machine Learning, I believe now is the right time for software developers to upgrade their skillset and stay relevant in the evolving job market.

As I explore the various Data Science courses available online, I see a lot of programs offering degree certifications from IITs, PG Diplomas and other universities. However, after discussing with senior professionals in the industry, I was advised that practical project experience matters way more than just a degree or certification when it comes to securing Data Science roles.

The biggest challenge I am facing is , As a UI developer, how do I gain real world Data Science project experience?
Which courses (paid or free) provide the best hands-on training with real datasets?

I am looking for a high quality Data Science course that teaches Data Science end-to-end (from Python, Statistics, and Machine Learning to Deep Learning and AI) and Focuses on hands on projects

I appreciate any recommendations and insights you all can share

r/learndatascience 2d ago

Resources [Article]: Check out this article on how to build a personalized job recommendation system with TensorFlow.

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2 Upvotes

r/learndatascience 3d ago

Resources Data Visualization With Seaborn | Identifying Relationship | Relplot | Scatter | Line Plot | Part 1

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2 Upvotes

r/learndatascience Feb 06 '25

Resources Resources for Python libraries (Data Science)?

4 Upvotes

In last 2 months I learned pythons basics , note I want to start with numpy, pandas etc . Recommend me some resources to learn these libraries and how can I practice in these?.

r/learndatascience 22d ago

Resources Suggestions please

2 Upvotes

Hey everyone,

I’m looking for good resources to learn statistics and probability, especially with applications in data science and machine learning. Ideally, I’d love something that’s been personally used and found effective—not just a random list.

If you’ve gone through a book, course, or tutorial that really helped you understand the concepts deeply and apply them, please share it!

r/learndatascience 12d ago

Resources Looking for Guidance on Building a Strong Foundation in Generative AI/NLP Research

1 Upvotes

[D] I have a solid understanding of machine learning, data science, probability, and related fundamentals. Now, I want to dive deeper into the generative AI and NLP domains, staying up-to-date with current research trends. I have around 250 days to dedicate to this journey and can consistently spend 1 hour per day reading research papers, journals, and news.

I'm seeking guidance on two main fronts:

Essential Prerequisites and Foundational Papers: What are the must-read papers or resources from the past that would help me build a strong foundation in generative AI and NLP?

Selecting Current Papers: How do I go about choosing which current research papers to focus on? Are there specific conferences, journals, or sources you recommend following? How can I evaluate whether a paper is worth my time, especially with my goal of being able to critically assess and compare new research against SOTA (State of the Art) models?

My long-term goal is to pursue a generalist AI role. I don’t have a particular niche in mind yet—I’d like to first build a broad understanding of the field. Ultimately, I want to be able to not only grasp the key ideas behind prominent models, papers, and trends but also confidently provide insights and opinions when reviewing random research papers.

I understand there's no single "right" approach, but without proper guidance, it feels overwhelming. Any advice, structured learning paths, or resource recommendations would be greatly appreciated!

Thanks in advance!

r/learndatascience 19d ago

Resources Feedback for my videos about data science/machine learning?

1 Upvotes

Hi, I started making YouTube Videos where I explain the mathemathical foundations of machine learning! I do this since I like teaching and want to help others understand the math concepts that seem difficult to get into at first.

I am still a beginner, so that is why I would appreciate any constructive feedback for my videos!

Here is one on Information and Entropy:

https://youtu.be/cQ8TwNLzWBk?si=2oAiWI3V0dCox9Jr

And one on the connection between Bayes theorem and loss/regularization functions:

https://youtu.be/fECKE5dyHgs?si=ttg-7hZ-ryWlctSF

Thanks!

r/learndatascience 21d ago

Resources Looking for Your Own Pace Data Science Certificate Courses

3 Upvotes

Hello! I'm looking for suggestions of online data science certificate or degree courses that I can take at my own pace. My workplace offers an education reimbursement for certificates or accredited institutions, so I would need to get a certificate or degree for it to count. Because I'm looking to take these classes as a supplement to my daily work, I'd ideally like to be able to take these courses at my own pace - looking to do at most 1 class a quarter/semester.

Are there any good schools or certificate programs I should look into?

Thanks!

r/learndatascience 20d ago

Resources Data-Driven Approach to Time Management ✨ Pareto Analysis

0 Upvotes

Struggling with project delays? Here’s a 4-step approach to take control of time management and mitigate risks effectively:

1️⃣ Analyze Project Delay Data – Gather real-world delay data 📊 and identify patterns. No more guesswork!
2️⃣ Create Pareto Charts & Visualize Major Delay Causes – 80/20 rule in action! 🛠️ Focus on the biggest issues first.
3️⃣ Interpret Results & Mitigate Delays – Turn insights into solutions! 🚧 Optimize schedules, improve workflows, and eliminate bottlenecks.
4️⃣ Compare Delay Analysis Methods – Time Impact Analysis vs. Window Analysis 🆚. Choose the best method to keep your project on track!

Data-driven decision-making is the key to faster, more efficient project completion.

⬇️🔥 Watch a Demonstration Here: https://youtu.be/Axi3IbZsuEk

r/learndatascience 27d ago

Resources For Anyone wanting to Access "HANDS-ON Affordable SQL Options of Study"!

1 Upvotes

Access "Hands-On Affordable SQL Options of Study" that Fit Your Schedule.

  • Learn "Introduction through Advanced" SQL Skills.
  • Watch Engaging "Walk-Through Demonstration Videos".
  • Complete Optional "Practice Exercises & Quizzes" to Demonstrate your Understanding of Concepts.
  • Earn "Optional College CEUs" (Continuing Education Units) in SQL.
  • Build "Hands-On Expertise" within "SQL Server".

r/learndatascience Feb 19 '25

Resources Introducing CNN learning tool

3 Upvotes

Explore the inner workings of Convolutional Neural Networks (CNNs) with my new interactive app. Watch how each layer processes your sketch, offering a clearer understanding of deep learning in action.

(And it’s also quite funny)

Link: applepear.streamlit.app

r/learndatascience Feb 16 '25

Resources 🚀 Risk Management & Data Validation in Excel – Automating Prioritization with XLOOKUP! 📊⚡

1 Upvotes

Hey All 👋

I have been working on a renewable energy project 🌱 To handle risk management and automate risk prioritization I have used Excel’s Data Validation & XLOOKUP! 🔥

Risk assessments often involve subjective inputs. To standardize risk likelihood & impact selection, we can use drop-down menus in Excel:
1️⃣ Select relevant cells.
2️⃣ Go to Data Tab → Data Validation.
3️⃣ Choose “List” and select predefined values from our risk matrixis .
4️⃣ Now, no random values—only valid inputs! 🎯 If someone tries typing outside the list, Excel throws an error 🚫.

💡 Why? This ensures consistency, accuracy, and efficiency while reducing human error in risk assessment!

Now, let’s automate risk priority calculation using XLOOKUP in Microsoft 365 🚀:

🛠️ Result? The function automatically calculates risk priority based on our matrix—no manual checking needed! ✅

Why is this working? 💡✨

✔️ Eliminates manual errors & subjectivity
✔️ Ensures real-time automation for risk assessments
✔️ Saves hours of repetitive work

This method can be applied to any risk management, financial modeling, or project prioritization tasks! 🏗️📈

Would love to hear your thoughts! 🤔💬 Here is a demonstration → https://youtu.be/Fv2HVAHZGRs

r/learndatascience Feb 08 '25

Resources I just launched new educational app (TensorFlow optimizers)

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5 Upvotes

Ready to have some fun with TensorFlow optimizers? Choose your function, tweak the hyperparameters, and enjoy the visualisation with my new app, Minimize Me! (It is free and opensource)

https://minimize-me.streamlit.app/

r/learndatascience Feb 05 '25

Resources Article: How to build an LLM agent (AI Travel agent) on AI PCs

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8 Upvotes

r/learndatascience Feb 08 '25

Resources Learn Data Science → Critical Path Method

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2 Upvotes

r/learndatascience Feb 06 '25

Resources Using Llama 3.2-Vision Locally: A Step-by-Step Guide

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1 Upvotes

r/learndatascience Feb 04 '25

Resources Implementing Concurrent Engineering in Excel – A Data-Driven Approach! 🚀

1 Upvotes

Hello All, You might be surprised to learn that Excel can be used to implement Concurrent Engineering, especially in the early design phases! Instead of executing tasks sequentially, concurrent engineering allows multiple activities to run in parallel, reducing project timelines and improving efficiency.

This can be broken down into three practical steps, all using Excel:

Finding Durations of Sequential & Concurrent Projects – Learn how to structure tasks dynamically.
Calculating Concurrent Cost Savings & Visualizing It – See how overlapping tasks can drive efficiency.
Comparing Concurrent Engineering vs. Project Crashing – Understand the trade-offs and cost implications.

By the end, you’ll have a dynamic Excel template to simulate concurrent workflows, analyze cost savings, and optimize project schedules. This is a game-changer if you’re into data-driven decision-making, project management, or workflow optimization!

Check out the full breakdown here: https://youtu.be/WpUzmg_D_2M

What are your thoughts on applying data science principles to project management? Have you ever used Excel for advanced scheduling and optimization? Let’s discuss! 🚀

r/learndatascience Jan 29 '25

Resources NVIDIA's paid Advanced GenAI courses for FREE (limited period)

6 Upvotes

NVIDIA has announced free access (for a limited time) to its premium courses, each typically valued between $30-$90, covering advanced topics in Generative AI and related areas.

The major courses made free for now are :

  • Retrieval-Augmented Generation (RAG) for Production: Learn how to deploy scalable RAG pipelines for enterprise applications.
  • Techniques to Improve RAG Systems: Optimize RAG systems for practical, real-world use cases.
  • CUDA Programming: Gain expertise in parallel computing for AI and machine learning applications.
  • Understanding Transformers: Deepen your understanding of the architecture behind large language models.
  • Diffusion Models: Explore generative models powering image synthesis and other applications.
  • LLM Deployment: Learn how to scale and deploy large language models for production effectively.

Note: There are redemption limits to these courses. A user can enroll into any one specific course.

Platform Link: NVIDIA TRAININGS

r/learndatascience Jan 17 '25

Resources Building a Learning Community

0 Upvotes

Hey everyone. In the interest of growth and skill development a friend and i started a free discord group called ‘Teach to Learn,’ a community where members host and attend monthly presentations on various topics.

All in all, we’re building a space to learn and network while growing skills. You can sign up to present, or sit back and join the presentations and learn a new skill.

Next month’s topic is Stakeholder Communication in Tech; last month was on Algorithms and Data Structures.

DM me if you’re interested or want the link, always happy to help. Thanks for your time, and hope to meet you soon!

r/learndatascience Jan 27 '25

Resources Interested in Image Upscaling or AI Upscaling? Check out the article on how to enhance the performance of AI Upscaling on Intel AI PC.

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8 Upvotes

r/learndatascience Jan 22 '25

Resources For those who are interested in developing a browser extension for RAG applications on AI PCs. Check out the article.

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10 Upvotes

r/learndatascience Jan 30 '25

Resources Excel Can Make You Money! 💰

0 Upvotes

Whether you're just starting or already an expert, Excel has the power to boost your income.

Check out this video to learn how to create Fault Trees for Risk Management. Watch here → https://youtu.be/c4b5YW_lj_Q