#bike-pose406K posts
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Check the data first, then the dashboard. Dashboards can not make up things unless you used a wrong formula😂 #data #dashboards #dataliteracy #analytics
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🚀 Still Filtering Data the Hard Way? Learn This! If you want to think like a real Data Analyst, you MUST understand these two powerful SQL clauses 👇 🔥 GROUP BY → Turn raw data into smart summaries 🔥 HAVING → Filter the results like a pro These are not just SQL topics… They are daily tools used in top companies 💼📊 Master skills that companies actually want — not just theory! 👉 Follow @GeekswithRaj for daily Data Analytics learning 👉 Save this reel & stay ahead of 90% learners #DataAnalytics #SQL #LearnSQL #DataAnalyst #GeeksWithRaj
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“Data professionals don’t just read numbers. They interrogate them.” 📍Theory gets you a certificate. @Amdari gets you a career. The difference is real-world experience — and that’s exactly what they’re built for.
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This is why you feel stuck learning data analytics. Save this and share it with someone who needs to hear it. I'll see you in the next one. ☛ You're welcome! . . ©️ Goodness | The Digitor I'm a DATA ANALYST and TECH WRITER and I’m on a mission to help newbies like you go from shy, confused, broke and invisible, to confident, skilled, paid and positioned for global opportunities. Anyhooo, I have a FREE GIFT for you and I'm so sure you'll love it. Get it here: https://lnkd.in/e4fnWcEE
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Don't forget to follow us for more #dataviz #datadisaster #datadisasters #datascience Source: r/dataisugly
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Real-World Data Thinking & Pitfalls Brief quiz optimized for quick viewing. Encourages steady learning through repetition. #dataanalytics #datacareer #productanalytics #reproducibility
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Algorithms need to be taken care of for a data analyst ☺️ . . . . . . . #datacleaning #analyticstips #learndata #datavisualization #python
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The best way to become a Data Analyst, Scientist, or Engineer is through an actual degree. #fyp #data #DataAnalyst #businessintelligence #dataevangelist
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Before you clean data, before you analyze it, before you build models… Bias has already entered your dataset. In real data science and business analytics work, most mistakes happen during data collection and sampling, not during coding. Professional data analysts always check: ✔️ Who is missing? ✔️ Who is overrepresented? ✔️ Who had no access? ✔️ Who didn’t respond? ✔️ Who was excluded? Ignoring data bias leads to false insights, wrong business decisions, and failed analytics projects. If you are serious about learning data science, data analysis, and statistics, this habit alone will protect your career. 📌 Follow for practical analytics skills companies trust. #datascience #DataCleaning #excel #sql #python #DataBias #DataCleaning #LearnDataAnalysis #DataScienceCareer #AnalyticsMindset #BusinessAnalytics #Python #Excel #SQL #Statistics #DataProjects #TechEducation #DataCoach
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Follow us for more data disasters. #dataviz #datadisaster #datadisasters #datascience Source: r/dataisugly
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Day 2 of 30 Data Analytics Metrics vs Dimensions METRICS = numbers you measure (revenue, clicks). DIMENSIONS = categories you slice by (date, country, device). Master this split and you're ahead of 50% of analysts. #dataanalytics #datascience #learndata #tech #careeradvice
Top Creators
Most active in #data-and-data
Semantic Clustering
Reels Graph Intelligence.
Advanced mapping of high-affinity Instagram Reels semantic patterns identified within the #data-and-data ecosystem.
Global DensityHigh Velocity
Affinity Score
97%
#data governance and compliance
High Reach
Affinity Score
94%
#data engineering tools and software
Strategic
Affinity Score
93%
#data analytics and machine learning
Niche Entry
Affinity Score
92%
#data scientist tools and techniques
High Reach
Affinity Score
91%
#ai and data science
Strategic
Affinity Score
88%
#data and analytics
Niche Entry
Affinity Score
87%
#data structures and algorithms
High Reach
Affinity Score
85%
#data structure and algorithm
Strategic
Affinity Score
79%
#artificial intelligence and data science
Niche Entry
Affinity Score
80%
#data and ai summit
High Reach
Affinity Score
75%
#ai and data analytics
Strategic
Affinity Score
75%
#data science and ai
Niche Entry
Strategic Implementation
Our semantic engine has identified these specific pattern clusters as high-affinity matches for #data-and-data. Integrated usage of #data-and-data with strategic Reels tags like #data governance and compliance and #data engineering tools and software is statistically linked to a significant increase in initial Reels discovery velocity.
In-Depth Hashtag Analysis: #data-and-data
Expert Review • June 5, 2026 • Based on 12 Reels
Executive Overview
#data-and-data is an actively used Instagram hashtag. Across the 12 trending reels analyzed on this page, the content has accumulated a combined total of 4,326 views— demonstrating healthy engagement activity within this content vertical. The top creator ecosystem features 8 notable accounts, led by @geekswithraj with 2,172 total views. The hashtag's semantic network includes 100 related keywords such as #data governance and compliance, #data engineering tools and software, #data analytics and machine learning, indicating its position within a broader content cluster.
Avg. Views / Reel
361
4,326 totalViral Ceiling
2,172
Best Performing ReelUnique Creators
8
12 reels analyzedViewership & Reach Analysis
The 12 reels in this dataset have generated a combined 4,326 views, translating to an average of 361 views per reel. This viewership level reflects a more community-focused reach, where content primarily circulates within a dedicated audience group.
Top Performing Reel
The highest-performing reel in this dataset received 2,172 views. This viral outlier performance is 602% 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-and-data 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, @geekswithraj, has contributed 1 reel with a total viewership of 2,172. The top three creators — @geekswithraj, @datadisasters, and @grade_learner — together account for 78.6% of the total views in this dataset. The semantic network of #data-and-data extends across 100 related hashtags, including #data governance and compliance, #data engineering tools and software, #data analytics and machine learning, #data scientist tools and techniques. Creators often use these tags together to reach overlapping audiences.
Discoverability & Reach Potential
The discoverability metrics for #data-and-data indicate an active content ecosystem. The average of 361 views per reel demonstrates consistent audience reach. For creators using #data-and-data, authentic, niche-specific content that adds real value tends to perform well.
Analyst Verdict
#data-and-data demonstrates the hallmarks of a steadily growing Instagram hashtag. With an average of 361 views per reel, the viewership metrics position this hashtag as a growing content category. Creators like @geekswithraj and @datadisasters are leading the charge, setting viewership benchmarks for the community.
Frequently Asked Questions
Everything about #data-and-data on Instagram
Live Intelligence
Global Reels Trends
Explore high-velocity Instagram Reels hashtags currently shaping global discovery.
Frequently Asked Questions
How popular is the #data and data hashtag?
Currently, #data and data has over — public posts on Instagram. It is a highly active community focus area for creators and brands.
Can I download reels from #data and data anonymously?
Yes, Pikory allows you to view and download public reels tagged with #data and data without an account and without notifying the content creators.
What are the most related tags to #data and data?
Based on our semantic analysis, tags like #nus data science and economics, #data centers and water consumption, #data and ai summit are frequently used alongside #data and data.