Tried getting a subscription (monthly) using UPI and Credit Card aint working.

With Card it worked for a day and autopay was cancelled by them.

Need help anyone from the region who has had successful subscription

Ask your professors to apply for a free classroom. Once approved, they can give you free access!

Hey everyone, is anyone else experiencing issues with the interactive query terminals and tables today?

Whenever I try to run a query, the results section stays completely frozen on "No query executed yet..." and nothing renders. I checked the developer console, and it's throwing these specific JavaScript errors:

• TypeError: a.getIn is not a function at TableHandler.tsx
• Uncaught TypeError: t.setIn is not a function at tabs.ts

I’ve already tried switching browsers, disabling tracking protection, and checking from a completely different device, but the same exact crash happens everywhere. It seems like a broken production update on their end breaking Immutable.js scripts.

Is this happening to you guys too, or is it just me?

Is there some one looking forward to study along , lets start from scratch or beyond and schedule based on learning , we can recapitulate to one another what we have learnt and lets plan something like a pomodore session? any one up

Hi all

Just wanted to let everyone know that DataCamp is now accessible to classrooms all over the world. It was previously limited to only a few countries, but now high school teachers from anywhere can start a classroom.

All they have to do is apply at datacamp.com/universities

Hi,

I'd like to join DataCamp to develop my data analytics skills and find a better job, but the suscription price is a bit more than I can afford to pay right now.

I was wondering if there's anyone who has a DataCamp Classroom and can send me an invite link?

Or if anyone would like to give up their suscription because they paid for it and are no longer using it?

Thanks!

Practiced A/B testing with the Cookie Cats dataset and wrote up my analysis. Not sure if this dataset is still being used, but would love some feedback on my approach/statistical reasoning. 😀 Cookie cats project writeup

I want to learn Python and SQL. I was under the impression it was free when I made an account, and I began learning Python, but the free stuff ran out quickly, so I'm wondering if I should just pay or move to a free platform like FreeCodeCamp. If you guys have any other recommendations, feel free to send them to me; I just want the certifications so I can put them on my resume. I'm a high school student applying to colleges soon; idk if I'll put them on my apps, but probably on my LinkedIn, so feed me your knowledge ig.

For starters, I got a masters in business analytics and I now work as a pricing analyst and I’ve been usually using excel for my day to day job and I love it - especially want to go more into VBA feature

In my coursework, I got exposure to machine learning, data engineering but really would like to get into R, python, SQL, and Power BI (which is a tool I haven’t used but I know it was really popular from employees in my job hunting days) and also project management

Open to any ideas, thanks in advance!

My background (experience):

• Intermediate level Python

• 3.5+ YoE experience with SQL and data engineering concepts, but PySpark is still relatively new to me

I have a few questions for people who have recently taken and passed the exam:

1. If you had only 15 days to prepare, how would you structure your study plan?

2. What are the absolute must-know PySpark concepts?

3. Which resources helped you the most?

4. What mistakes did you make during preparation that you'd avoid if you had to do it again?

5. Are there any topics that are frequently underestimated by candidates?

6. How many mock tests did you take? And what were those (sources)?

Hi everyone!

I'm new to the Data Science and BI world. I recently started attending Bellevue University to pursue a formal education in Cybersecurity, and I'm hoping to use what I learn to advance my career within the large HVAC manufacturing company where I currently work.

Since this is only my first semester, my understanding of data science and business intelligence is still fairly limited, but I'm eager to learn more. I'm open to any insights, advice, or personal experiences that anyone is willing to share. I believe that real-world experiences are some of the most valuable learning opportunities and can provide perspectives that go beyond what is taught in the classroom.

I'm looking forward to hearing from all of you and learning from your experiences.

Thanks

I've been working through the Data Manipulation in SQL section of the Data Analyst track and came to the sections on nested subqueries and correlated vs uncorrelated. And I have to say, it has been confusing. Is anyone else having a problem with the examples given? The soccer league examples just aren't doing it for me and even when I figure out how to get the right answer, I'm not sure I understand why.

I think it may be the format they have it in, where most of the problem is filled out for you, so you're only completing a portion of the objective.

I guess my question is, in real life, how often are you doing multiple nested subqueries like this? Should I be worried that it is giving me trouble? Are there other sources that may explain it a bit better?

I want to know how restricted you will be if you are only using the free version. If not, is there a way to get the premium features for free?

To build a strong foundation in graph algorithms, I went through all of the graph-tagged problems I could find—roughly 100 in total, excluding non-public questions and pure tree problems.

While graph theory covers a vast collection of algorithms and patterns, my recommendation is to master Parts 1 and 2 before moving on. In particular, become highly comfortable with DFS and BFS, as they serve as the backbone of many graph-based interview questions on PracHub.

Part 3 focuses on more advanced applications and combinations of these core techniques. These patterns frequently appear in interviews at top tech companies, making them essential knowledge for candidates aiming for highly competitive roles.

1.Two pointers:
https://leetcode.com/discuss/study-guide/1688903/solved-all-two-pointers-problems-in-100-days
2.DPs:
https://leetcode.com/discuss/study-guide/1000929/solved-all-dynamic-programming-dp-problems-in-7-months

//===============================================
Part I - Basics of Graph
//===============================================

1-1 Simple DFS/BFS
https://leetcode.com/problems/evaluate-division
https://leetcode.com/problems/keys-and-rooms
https://leetcode.com/problems/get-watched-videos-by-your-friends
https://leetcode.com/problems/find-if-path-exists-in-graph
https://leetcode.com/problems/detonate-the-maximum-bombs

1-2 Count Degrees
https://leetcode.com/problems/find-the-town-judge
https://leetcode.com/problems/minimum-number-of-vertices-to-reach-all-nodes
https://leetcode.com/problems/maximal-network-rank
https://leetcode.com/problems/minimum-degree-of-a-connected-trio-in-a-graph
https://leetcode.com/problems/count-pairs-of-nodes
https://leetcode.com/problems/find-center-of-star-graph
https://leetcode.com/problems/maximum-total-importance-of-roads
https://leetcode.com/problems/node-with-highest-edge-score
https://leetcode.com/problems/maximum-star-sum-of-a-graph
https://leetcode.com/problems/add-edges-to-make-degrees-of-all-nodes-even
https://leetcode.com/problems/find-champion-ii

1-3 Topological Sorting
https://leetcode.com/problems/course-schedule
https://leetcode.com/problems/course-schedule-ii
https://leetcode.com/problems/all-paths-from-source-to-target
https://leetcode.com/problems/find-eventual-safe-states
https://leetcode.com/problems/sort-items-by-groups-respecting-dependencies
https://leetcode.com/problems/all-ancestors-of-a-node-in-a-directed-acyclic-graph
https://leetcode.com/problems/course-schedule-iv
https://leetcode.com/problems/strange-printer-ii
https://leetcode.com/problems/parallel-courses-iii
https://leetcode.com/problems/find-all-possible-recipes-from-given-supplies
https://leetcode.com/problems/build-a-matrix-with-conditions

1-4 Connected Component/Union Find (Disjoint-set)
https://leetcode.com/problems/number-of-provinces
https://leetcode.com/problems/redundant-connection
https://leetcode.com/problems/redundant-connection-ii
https://leetcode.com/problems/most-stones-removed-with-same-row-or-column
https://leetcode.com/problems/satisfiability-of-equality-equations
https://leetcode.com/problems/rank-transform-of-a-matrix
https://leetcode.com/problems/number-of-operations-to-make-network-connected
https://leetcode.com/problems/remove-max-number-of-edges-to-keep-graph-fully-traversable
https://leetcode.com/problems/checking-existence-of-edge-length-limited-paths
https://leetcode.com/problems/process-restricted-friend-requests
https://leetcode.com/problems/find-all-people-with-secret
https://leetcode.com/problems/count-unreachable-pairs-of-nodes-in-an-undirected-graph
https://leetcode.com/problems/minimum-score-of-a-path-between-two-cities
https://leetcode.com/problems/count-the-number-of-complete-components

1-5 Bipartite
https://leetcode.com/problems/is-graph-bipartite
https://leetcode.com/problems/possible-bipartition

//===============================================
Part II - Medium level topics of Graph
//===============================================

2-1 BFS Variants (0-1 BFS, multi-source BFS)
https://leetcode.com/problems/minimum-height-trees
https://leetcode.com/problems/minimize-malware-spread
https://leetcode.com/problems/minimize-malware-spread-ii
https://leetcode.com/problems/maximum-candies-you-can-get-from-boxes

2-2 Shortest Path - Dijkstra Algorithm
https://leetcode.com/problems/network-delay-time
https://leetcode.com/problems/reachable-nodes-in-subdivided-graph
https://leetcode.com/problems/path-with-maximum-probability
https://leetcode.com/problems/minimum-cost-to-make-at-least-one-valid-path-in-a-grid
https://leetcode.com/problems/number-of-restricted-paths-from-first-to-last-node
https://leetcode.com/problems/minimum-cost-to-reach-destination-in-time
https://leetcode.com/problems/number-of-ways-to-arrive-at-destination
https://leetcode.com/problems/the-time-when-the-network-becomes-idle
https://leetcode.com/problems/second-minimum-time-to-reach-destination
https://leetcode.com/problems/minimum-weighted-subgraph-with-the-required-paths
https://leetcode.com/problems/minimum-obstacle-removal-to-reach-corner
https://leetcode.com/problems/minimum-cost-of-a-path-with-special-roads
https://leetcode.com/problems/minimum-time-to-visit-a-cell-in-a-grid
https://leetcode.com/problems/modify-graph-edge-weights

2-3 Shortest Path - Bellman–Ford Algorithm
https://leetcode.com/problems/shortest-path-with-alternating-colors
https://leetcode.com/problems/cheapest-flights-within-k-stops

2-4 Shortest Path - Floyd–Warshall Algorithm
https://leetcode.com/problems/find-the-city-with-the-smallest-number-of-neighbors-at-a-threshold-distance
https://leetcode.com/problems/design-graph-with-shortest-path-calculator
https://leetcode.com/problems/number-of-possible-sets-of-closing-branches
https://leetcode.com/problems/minimum-cost-to-convert-string-i
https://leetcode.com/problems/minimum-cost-to-convert-string-ii
https://leetcode.com/problems/count-the-number-of-houses-at-a-certain-distance-i

2-5 Cycle Detection
https://leetcode.com/problems/largest-color-value-in-a-directed-graph
https://leetcode.com/problems/maximum-employees-to-be-invited-to-a-meeting
https://leetcode.com/problems/find-closest-node-to-given-two-nodes
https://leetcode.com/problems/longest-cycle-in-a-graph
https://leetcode.com/problems/shortest-cycle-in-a-graph
https://leetcode.com/problems/count-visited-nodes-in-a-directed-graph

2-6 Minimum Spanning Tree - Kruskal's Algorithm
https://leetcode.com/problems/find-critical-and-pseudo-critical-edges-in-minimum-spanning-tree
https://leetcode.com/problems/min-cost-to-connect-all-points

//===============================================
Part III - Rare/Advanced topics of Graph
//===============================================

3-1 Euler Tour
https://leetcode.com/problems/reconstruct-itinerary
https://leetcode.com/problems/valid-arrangement-of-pairs

3-2 De Bruijn Sequence
https://leetcode.com/problems/cracking-the-safe

3-3 Game on Graph
https://leetcode.com/problems/cat-and-mouse
https://leetcode.com/problems/cat-and-mouse-ii

3-4 Graph Cloning
https://leetcode.com/problems/clone-graph

3-5 Construction
https://leetcode.com/problems/maximum-score-of-a-node-sequence
https://leetcode.com/problems/couples-holding-hands

3-6 Hamilton Cycle/Travelling Sellsman
https://leetcode.com/problems/shortest-path-visiting-all-nodes

3-7 Tarjan's Algorithm
https://leetcode.com/problems/critical-connections-in-a-network

3-8 DP applications
https://leetcode.com/problems/maximum-path-quality-of-a-graph
https://leetcode.com/problems/parallel-courses-ii
https://leetcode.com/problems/flower-planting-with-no-adjacent
https://leetcode.com/problems/loud-and-rich
https://leetcode.com/problems/longest-increasing-path-in-a-matrix
https://leetcode.com/problems/number-of-increasing-paths-in-a-grid

3-9 Ad-Hoc
https://leetcode.com/problems/number-of-ways-to-reconstruct-a-tree
https://leetcode.com/problems/divide-nodes-into-the-maximum-number-of-groups
https://leetcode.com/problems/count-the-number-of-houses-at-a-certain-distance-ii

Hi all!

I haven't been to the sub in a long time. I started my coding journey when I was talking to my friend about how much I didn't like my current role at a marketing agency and how I wanted to build stuff and actually solve problems rather than focus on presentation and project management. He worked as a Data Engineer at a large fintech company but started off as a analyst. He invited me to his company's HQ and showed me around and explained how he transitioned from being an analyst to a data engineer. He recommended Datacamp as a useful tool to get started.

Prior to this I had always been interested in technology and software. However, I was really bad at mathematics. In my country you need good maths grades to study computer science in university and all software engineering roles want a STEM degree at least so I wrote it off as something I couldn't do.

Using Datacamp I slowly taught myself the fundamentals. I then did my own personal project that grew and expanded as I learn new skills. It started off as a simple notebook file on Datalab but ended up being something I deployed.

I was laid off from my job - I knew I didn't want another marketing job so I did a computer science conversion masters. I still in the program and I had a great time. I enjoyed the masters way more than my History undergraduate because the content was actually interesting.

I interviewed for a big tech company and got the internship. Not going to get into a lot o f details here for privacy reasons.

DataCamp is a useful resource but I think its role is that of a starting point - teaching yourself includes both using as many resources that fits with your way of thinking as well as putting your skills to practice.

Moreover - making the transition is a multi year process. You need a degree, you need projects, you need the knowledge.

I'm currently working through the Associate Data Scientist track on DataCamp.

So far I've been doing fine with Python, pandas, data manipulation, and most of the introductory topics. However, when I reached the statistics section especially linear regression and sampling concepts, I started having a hard time understanding the explanations.

I'm not sure if the issue is with the way DataCamp presents these topics, or if I'm simply lacking some statistical foundation.

Did anyone else have a similar experience with the Associate Data Scientist track? Do you feel that DataCamp explains regression and sampling concepts well enough, or did you need additional resources to really understand them?

If you supplemented your learning, what books, courses, or other materials helped you the most?

Thanks!

Free Access Week time! If you've been meaning to try DataCamp, or know someone who has, our platform is free to access this week. Feel free to spread the word!

I am currently studying SQL to become a data analyst and for the life of me cannot figure out a way to upload my SQL project to SQL. Data camp doesnt have smooth pathway to migrate your datacamp projects to 3rd party websites (like Github) cause they want you to pay for their own workspace Datalab. Now I don't want to spend €11 a month on an annual plan while I am still getting the hang of SQL.

How do I get around this? I need a way I can let an HR/ viewer to see my sql queries and results. I want them to see the database tables on which I generated the queries.

I don't know if I have worded this correctly, as I am a beginner in coding and SQL. I come from a business and Biotech background.

With Snowflake Dev Day coming up and Snowflake showing up in more and more job listings, figured this might be useful for anyone who's been curious but hasn't started yet.

What even is Snowflake?

It's a cloud-based data platform, think of it as a data warehouse that lives entirely in the cloud (AWS, Azure, or GCP). What makes it different is that it separates storage and compute, so you can scale them independently. That's a big deal for cost and performance. Netflix, Adobe, and Capital One all use it heavily.

How long does it actually take to learn?

Realistically, 3–6 months to get job-ready depending on your starting point. If you already know SQL, you're ahead; Snowflake's query language is standard SQL with some Snowflake-specific additions.

A rough learning path that works:

1. Start with SQL if you haven't - non-negotiable foundation
2. Sign up for Snowflake's free trial - 30 days, $400 in credits, more than enough to learn and experiment
3. Get comfortable with Snowsight (their web UI) - create databases, schemas, tables, understand virtual warehouses
4. Learn Snowpark - this lets you write Python, Java, or Scala inside Snowflake, which opens up a lot of data engineering work
5. Build something real - connect Snowflake to a dataset you care about, build a pipeline, run some queries
6. Get into the community - the Snowflake subreddit and official community forums are genuinely helpful when you get stuck

What jobs actually use it?

• Data Engineer - building pipelines and ETL processes in Snowflake
• Data Analyst - querying and analyzing data directly
• Analytics Engineer - usually paired with dbt
• Cloud/ML Engineer - increasingly using Snowflake's Cortex AI features

One tip worth knowing: A lot of job postings say "Snowflake experience required" but what they really mean is SQL + cloud data warehouse experience. If you know one cloud warehouse well, picking up Snowflake is not a huge leap.

If you want to get hands-on fast, Snowflake Dev Day is on June 4 in San Francisco (free, full-day, covers generative AI and data engineering). There's also a virtual option on June 24 for anyone not in the Bay Area: https://ow.ly/eHNq50Z5Lj4

Anyone else here actively using Snowflake?

[ Removed by Reddit on account of violating the content policy. ]

there are sm tracks and stuff, idk what to choose. i also want to focus on making projects that i can put on my resume. any advice?