Experience full platform power on your desktop or through our specialized discovery engine.

v2.5 StablePikory 2026
Discovery Intelligence

#Data Projects

Total Volume
Discovery Velocity
High
Initial Sampling
12 Items
Hashtag StatsBased on recent activity
Total Posts
Avg. Views
59,339
Best Performing Reel View
353,435 Views
Analyzed Creators
11
Performance Context
Initial Batch12 reels analyzed

Trending Feed

12 posts loaded

Comment “project” for my full video that breaks each of thes
262,697

Comment “project” for my full video that breaks each of these projects down in detail with examples from my own work. If you’re using the Titanic, Iris, or COVID-19 dataset for data analytics projects, STOP NOW! These are so boring and over used and scream “newbie”. You can find way more interesting datasets for FREE on public data sites and you can even make your own using ChatGPT or Claude! Here are the 3 types of projects you need: ↳Exploratory Data Analysis (EDA): Exploring a dataset to uncover insights through descriptive statistics (averages, ranges, distributions) and data visualization, including analyzing relationships between variables ↳Full Stack Data Analytics Project: An end-to-end project that covers the entire data pipeline: wrangling data from a database, cleaning and transforming it. It demonstrates proficiency across multiple tools, not just one. ↳Funnel Analysis: Tracking users or items move from point A to point B, and how many make it through each step in between. This demonstrates a deeper level of business thinking by analyzing the process from beginning to end and providing actionable recommendations to improve it Save this video for later + send to a data friend!

Your project portfolio should be filled with your passions.
317

Your project portfolio should be filled with your passions. When I ask a candidate to walk me through a project, I can immediately tell if they are reciting a tutorial or if they actually struggled through the problem themselves. When you use your own data, whether it’s predicting your marathon time 🏃‍♀️ or analyzing your music taste 🎵 you demonstrate the end-to-end capability that hiring managers crave: 1️⃣ Pulling raw data (API/Scraping) 2️⃣ Cleaning & EDA 3️⃣ Modeling & Logic 4️⃣ Visualization & Storytelling 5️⃣ Impact Build what you love. The skills will follow, and the interview will feel so much more natural. #dataanalytics #datascience #careeradvice #techinterview #womenindata

If you are or wanna be a data analyst, this website will sav
309

If you are or wanna be a data analyst, this website will save you money. #dataanalytics #dataanalyst #dataanalysis #dataanalystjob #dataanalystdotcom

YOU’RE LOOKING AT YOUR DATA PORTFOLIO THE WRONG WAY. 

#data
199

YOU’RE LOOKING AT YOUR DATA PORTFOLIO THE WRONG WAY. #dataanalysis #data #dataanalytics

It’s not because you’re doing something wrong.
It’s because
432

It’s not because you’re doing something wrong. It’s because beginner projects are meant to teach you how to think, not impress recruiters. Every “basic” project builds the foundation for real-world work. Don’t skip the boring phase. #dataanalytics #beginnerprojects #learninginpublic #datajourney #futuredataanalyst

Comment “project” for my full video that breaks each of thes
39,883

Comment “project” for my full video that breaks each of these projects down in detail with examples from my own work. If you’re using the Titanic, Iris, or COVID-19 dataset for data analytics projects, STOP NOW! These are so boring and over used and scream “newbie”. You can find way more interesting datasets for FREE on public data sites and you can even make your own using ChatGPT! Save this video for later + send to a data friend! #data #dataanalytics #project 🏷️ data analytics, data analytics project, data project, dataset

Comment DA2026 and I’ll send you my FREE roadmap on landing
47,343

Comment DA2026 and I’ll send you my FREE roadmap on landing a Data Analyst job in 2026! #dataanalytics #dataanalyst

People think Data Analysts make dashboards all day.
Reality?
6,699

People think Data Analysts make dashboards all day. Reality? 40% time cleaning data. 30% validating if numbers are correct. 20% answering stakeholder questions. Only 10% dashboard. If you love only visualization, you’ll hate the job. If you love solving data problems, you’ll enjoy it.” “Save this before joining any course.

🌟🌟Core skills a Data Analyst require to succeed PART 1👍
295

🌟🌟Core skills a Data Analyst require to succeed PART 1👍 Click the link in my bio to get a FREE FULL guide on the skills👆 Are you thinking of a career switch into data analysis? You are not wrong . Being a data analyst is one of the most needed professions atm… Follow for more data related content. @thedigitalinvestorlab @thedigitalinvestorlab @thedigitalinvestorlab #digitalskills #dataanalysis #careerswitch #9to5 #higherincomepotential

If I had to start from scratch in data analytics, this is ex
353,435

If I had to start from scratch in data analytics, this is exactly how I’d do it. SQL first. Fancy tools later. Consistency always. Comment ‘TEMPLATE’ if you want the exact cold message I use 👀 Starting (or starting again)? Save this 🤍 [data, data analytics, corporate, ai, sql, data science, Hyderabad, beginnerguide] #data #dataanalytics #dataanalyst #corporate

Before diving into data, always check for missing values fir
145

Before diving into data, always check for missing values first — it’s a small step that makes a huge difference. Follow for simple, step-by-step tips to master data analysis. #dataanalysis #careergrowth #professionalskills #newskills #motivation

Becoming a Data Analyst in 2026 is NOT about learning 10 too
313

Becoming a Data Analyst in 2026 is NOT about learning 10 tools. It’s about learning the RIGHT ones. Most beginners waste months jumping between: • Random YouTube tutorials • 50% completed courses • Copy-paste portfolio projects I created a clear roadmap covering: — What to learn — In what order — What to skip — How to build a real portfolio — How to use AI smartly If you want the FREE Notion roadmap + cheat sheet, Comment “DATA ANALYST” I’ll send it to you 👇#dataanalyst #powerbi #aianalyst #businessanalyst #datascience

Top Creators

Most active in #data-projects

Semantic Clustering

Reels Graph Intelligence.

Advanced mapping of high-affinity Instagram Reels semantic patterns identified within the #data-projects ecosystem.

Strategic Implementation

Our semantic engine has identified these specific pattern clusters as high-affinity matches for #data-projects. Integrated usage of #data-projects with strategic Reels tags like #data science projects and #data science project is statistically linked to a significant increase in initial Reels discovery velocity.

In-Depth Hashtag Analysis: #data-projects

Expert Review • June 5, 2026 • Based on 12 Reels

Executive Overview

#data-projects is an actively used Instagram hashtag. Across the 12 trending reels analyzed on this page, the content has accumulated a combined total of 712,067 views— demonstrating healthy engagement activity within this content vertical. The top creator ecosystem features 8 notable accounts, led by @aanooook with 353,435 total views. The hashtag's semantic network includes 100 related keywords such as #data science projects, #data science project, #data analyst project ideas, indicating its position within a broader content cluster.

Avg. Views / Reel
59,339
712,067 total
Viral Ceiling
353,435
Best Performing Reel
Unique Creators
8
12 reels analyzed

Viewership & Reach Analysis

The 12 reels in this dataset have generated a combined 712,067 views, translating to an average of 59,339 views per reel. This strong average viewership suggests healthy algorithmic distribution. Reels using this hashtag are reliably reaching audiences interested in this niche.

Top Performing Reel

The highest-performing reel in this dataset received 353,435 views. This viral outlier performance is 596% of the average reel performance in this set. This significant gap between the top performer and the average highlights the "viral lottery" nature of this hashtag — breakout hits can achieve massive scale.

Content Overview & Top Creators

The #data-projects ecosystem is dominated by short-form video content (Reels), aligning with Instagram's algorithmic preference for video-first distribution. There are 8 distinct accounts contributing to the trending feed. The top creator, @aanooook, has contributed 1 reel with a total viewership of 353,435. The top three creators — @aanooook, @jessramosdata, and @askdatadawn — together account for 98.8% of the total views in this dataset. The semantic network of #data-projects extends across 100 related hashtags, including #data science projects, #data science project, #data analyst project ideas, #data center projects. Creators often use these tags together to reach overlapping audiences.

Discoverability & Reach Potential

The discoverability metrics for #data-projects indicate an active content ecosystem. The average of 59,339 views per reel demonstrates consistent audience reach. For creators using #data-projects, posting consistently with trending audio and relevant angles will help you get noticed.

Analyst Verdict

#data-projects demonstrates the hallmarks of a steadily growing Instagram hashtag. With an average of 59,339 views per reel, the viewership metrics position this hashtag as a reliable reach driver. Creators like @aanooook and @jessramosdata are leading the charge, setting viewership benchmarks for the community.

Frequently Asked Questions

Everything about #data-projects on Instagram

Frequently Asked Questions

How popular is the #data projects hashtag?

Currently, #data projects has over — public posts on Instagram. It is a highly active community focus area for creators and brands.

Can I download reels from #data projects anonymously?

Yes, Pikory allows you to view and download public reels tagged with #data projects without an account and without notifying the content creators.

What are the most related tags to #data projects?

Based on our semantic analysis, tags like #data driven project management, #data cleaning projects, #data analysis projects are frequently used alongside #data projects.