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Day 1 of pretending to be a Data Scientist after lying about 15 years of experience in the interview. They asked me to check the data lake, do data analysis, and share insights. I was busy trying to understand what a data lake actually is. This is what happens when you fake your resume, exaggerate your data science experience, and reality hits on the first day at work. Corporate IT life, tech jobs, data scientist interviews, and office humor in one video. If you’re really interested in the data science field, you should checkout these guys!! If you work in IT, software, data science, analytics, or tech, you’ll understand this pain.

Do you agree? Share this with a job hunting data scientist. #data #student #tech

You definitely do not need a PhD to work in data science. If anything, it can create a negative bias against you and I encourage my coaching clients to downplay this on their resume.

The most important part of getting a data science job is to network and build a production ready project! Comment “GitHub” to get 50+ projects ideas for your data portfolio. #data #students #job

Trying to land your first data analyst job? Watch this. #dataanalytics #dataanalyst #dataanalysis #dataanalystjob

I do not think the biggest difference between a junior data scientist and a data scientist is technical. After four years working in the corporate world, what I saw over and over was this shift from execution to responsibility. Early on, your job is to do the work well. Later, your job becomes questioning the work itself.

Beginner data analyst mistake pt 1: learning too many tools. #dataanalytics #dataanalyst #dataanalysis #breakintotech #dataanalystbeginner

Watch this til the end if you want to land a $150k data job! Comment “github” and I ll send you 50+ data projects ideas with data for your portfolio. #data #students #job

Watch this til’ the end if you want to land a $150k data science job! Comment “GitHub” to get 50+ projects ideas for your data portfolio. #data #students #job
Top Creators
Most active in #data-charting
Reels Graph Intelligence.
Advanced mapping of high-affinity Instagram Reels semantic patterns identified within the #data-charting ecosystem.
Strategic Implementation
Our semantic engine has identified these specific pattern clusters as high-affinity matches for #data-charting. Integrated usage of #data-charting with strategic Reels tags like #data analyst working with charts and #python data analysis notebook charts is statistically linked to a significant increase in initial Reels discovery velocity.
In-Depth Hashtag Analysis: #data-charting
Expert Review • June 5, 2026 • Based on 12 Reels
Executive Overview
#data-charting is an actively used Instagram hashtag. Across the 12 trending reels analyzed on this page, the content has accumulated a combined total of 630,752 views— demonstrating healthy engagement activity within this content vertical. The top creator ecosystem features 6 notable accounts, led by @liljehu_ with 489,241 total views. The hashtag's semantic network includes 100 related keywords such as #data analyst working with charts, #python data analysis notebook charts, #bts chart data, indicating its position within a broader content cluster.
Viewership & Reach Analysis
The 12 reels in this dataset have generated a combined 630,752 views, translating to an average of 52,563 views per reel. This strong average viewership suggests healthy algorithmic distribution. Reels using this hashtag are reliably reaching audiences interested in this niche.
The highest-performing reel in this dataset received 489,241 views. This viral outlier performance is 931% 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-charting ecosystem is dominated by short-form video content (Reels), aligning with Instagram's algorithmic preference for video-first distribution. There are 6 distinct accounts contributing to the trending feed. The top creator, @liljehu_, has contributed 1 reel with a total viewership of 489,241. The top three creators — @liljehu_, @penelope_builds, and @ajit.thatitguy — together account for 98.1% of the total views in this dataset. The semantic network of #data-charting extends across 100 related hashtags, including #data analyst working with charts, #python data analysis notebook charts, #bts chart data, #chart data. Creators often use these tags together to reach overlapping audiences.
Discoverability & Reach Potential
The discoverability metrics for #data-charting indicate an active content ecosystem. The average of 52,563 views per reel demonstrates consistent audience reach. For creators using #data-charting, posting consistently with trending audio and relevant angles will help you get noticed.
Analyst Verdict
#data-charting demonstrates the hallmarks of a steadily growing Instagram hashtag. With an average of 52,563 views per reel, the viewership metrics position this hashtag as a reliable reach driver. Creators like @liljehu_ and @penelope_builds are leading the charge, setting viewership benchmarks for the community.
Frequently Asked Questions
Everything about #data-charting on Instagram
Global Reels Trends
Explore high-velocity Instagram Reels hashtags currently shaping global discovery.








