High Volume

#Data Management

Assista 1M vídeos de Reels sobre Data Management de pessoas de todo o mundo.

Assista anonimamente sem fazer login.

1M posts
NewTrendingViral

Pesquisas Relacionadas

30
managerclinical data management cdm career roadmapmanageablemaster data managementmanagmentaishu data management newsdataingbi data management best practicesexcel data managementdata management trends 2026

Reels em Alta

(12)
#Data Management Reel by @berkeleydatastrategists (verified account) - Another powerful session with the cohort. Data Management is not theory. It is not "them say." It is structured, strategic, and executed based on rea
43.8K
BE
@berkeleydatastrategists
Another powerful session with the cohort. Data Management is not theory. It is not “them say.” It is structured, strategic, and executed based on real organisational realities. In this clip, I was walking my mentees through what the first 30 days of a Data Governance implementation should look like for a banking client project they’re working on. Not guesswork. Not recycled slides. But a roadmap built from verifiable, hands-on experience spanning over two decades delivering governance frameworks in regulated environments. Because knowing definitions is easy. Designing and executing in a live financial services environment is different. This is how we build practical capability — not course completion certificates. #DataGovernance #DataManagement #BankingTransformation #DataLeadership #InformationGovernance
#Data Management Reel by @askdatadawn (verified account) - This is the EXACT order I would learn Data Science in 2026. Hi 😊 my name is Dawn. I've been a Data Scientist at Meta, Patreon and other startups. An
11.7K
AS
@askdatadawn
This is the EXACT order I would learn Data Science in 2026. Hi 😊 my name is Dawn. I’ve been a Data Scientist at Meta, Patreon and other startups. And have coached 20+ clients into landing their dream Data jobs in the past year. 1️⃣ Learn SQL SQL is a must-have skill for every data professional because it’s the primary way you get data OUT of a database. It’s also a very easy coding language to learn, so I would start there. Use Interview Master to learn and practice SQL (link in bio): → Learn SQL: www.interviewmaster.ai/content/sql → Practice SQL: www.interviewmaster.ai/home 2️⃣ Start building Product Sense & Business Sense Product sense & business sense basically means you know how to use Data to solve real problems. I would start building this “soft” skill early because (1) it takes time to really learn this, and (2) as you’re learning Stats and Python, you already have context on how these might be used in the real world. I found the book: Cracking the PM Career to be super helpful before I landed my first Data Science job. 3️⃣ Learn Statistics How much Stats do you need for Data Science? Just the foundations, but you need to know it really really well. → Descriptive statistics → Common distributions → Probability and Bayes’ Theorem → Basic Machine Learning models → Experimentation concepts → A/B experiment design Check out Stanford’s Introduction to Statistics, which is free on Coursera. 4️⃣ Learn Python Python is the #1 skill for Data Scientists in 2025, but I put it 4th on this list because I find that it builds on skills 1-3. I learned Python on my own using DataCamp’s Python Data Fundamentals (link in bio). 5️⃣ Use AI-assisted coding tools Many data scientists are already using tools, like Claude Code & Cursor, to 2x their productivity. And also many companies are evaluating you on your use of AI during interviews. #datascience #datascientist
#Data Management Reel by @jessramosdata (verified account) - 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, Ir
209.7K
JE
@jessramosdata
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!
#Data Management Reel by @chrisoh.zip - The best projects serve a real use case Comment "data" for all the links and project descriptions #tech #data #datascience #ml #explore
463.9K
CH
@chrisoh.zip
The best projects serve a real use case Comment “data” for all the links and project descriptions #tech #data #datascience #ml #explore
#Data Management Reel by @phoebeslifeindata - watch this if you want to become a data analyst in 2026, these are my top simple tips 📊 1. Learn SQL: its the tool you'll use to get data from datab
12.9K
PH
@phoebeslifeindata
watch this if you want to become a data analyst in 2026, these are my top simple tips 📊 1. Learn SQL: its the tool you’ll use to get data from databases, and then use to analyse business performance 2. Learn Excel or something similar: it’s great for ad hoc analysis and building engaging charts and diagrams 3. Get familiar with a reporting tool, you don’t need to be great at this just an understanding is fine 4. The core skills are communicating your insights clearly and understanding business metrics Save this and come back to it when you’re planning what to learn, I have links on my profile for courses/guides for each of these aspects!
#Data Management Reel by @sdw.online (verified account) - A data warehouse is a single source of truth that helps business functions perform their data analysis operations easier. Here's what a simple data
28.6K
SD
@sdw.online
A data warehouse is a single source of truth that helps business functions perform their data analysis operations easier. Here's what a simple data warehouse looks like: 1. Data sources 2. Bronze layer 3. Silver layer 4. Gold layer 5. Analytics There's so much more that goes into a data warehouse (e.g. ingestion frequency, data governance policies, data validation checks etc), but this is a high level design you can start with. Different companies may configure the stages in different ways according to their users' unique requirements, but the generic workflow applies to all! #dataanalytics #dataengineering #datascience #techtok #dejavu
#Data Management Reel by @woman.engineer (verified account) - 📍How to prepare for Data Scientist role in 2026 🚀 CORE SKILLS YOU MUST MASTER: Programming You must be fluent in: ● Python ● NumPy ● Pandas ● S
40.4K
WO
@woman.engineer
📍How to prepare for Data Scientist role in 2026 🚀 CORE SKILLS YOU MUST MASTER: Programming You must be fluent in: ● Python ● NumPy ● Pandas ● Scikit-learn Writing clean, readable, bug free code Data transformations without IDE help Expect: ● Data cleaning ● Feature extraction ● Aggregations ● Writing logic heavy code SQL Almost every Data Science role tests SQL. You should be comfortable with: ● Joins - inner, left, self ● Window functions ● Grouping & aggregations ● Subqueries ● Handling NULLs Statistics & Probability: ● Probability distributions ● Hypothesis testing ● Confidence intervals ● A/B testing ● Correlation vs causation ● Sampling bias Machine Learning Fundamentals. You must know: ● Supervised vs Unsupervised learning ● Regression & Classification ● Bias Variance tradeoff ● Overfitting / Underfitting Evaluation metrics: ● Accuracy ● Precision / Recall ● F1-score ● ROC-AUC ● RMSE FEATURE ENGINEERING & DATA UNDERSTANDING: ● This is where strong candidates stand out. ● Handling missing data ● Encoding categorical variables ● Feature scaling ● Outlier treatment CORE SKILLS YOU MUST MASTER: Programming You must be fluent in: ● Python ● NumPy ● Pandas ● Scikit-learn Writing clean, readable, bug free code Data transformations without IDE help Expect: ● Data cleaning ● Feature extraction ● Aggregations ● Writing logic heavy code SQL Almost every Data Science role tests SQL. You should be comfortable with: ● Joins - inner, left, self ● Window functions ● Grouping & aggregations ● Subqueries ● Handling NULLs Statistics & Probability: ● Probability distributions ● Hypothesis testing ● Confidence intervals ● A/B testing ● Correlation vs causation ● Sampling bias Machine Learning Fundamentals. You must know: ● Supervised vs Unsupervised learning ● Regression & Classification ● Bias Variance tradeoff ● Overfitting / Underfitting Evaluation metrics: ● Accuracy ● Precision / Recall ● F1-score ● ROC-AUC ● RMSE +++ for more look at the comment #datascientist #aiengineer #softwareengineer #datascience #dataengineer
#Data Management Reel by @itssimplyjordan (verified account) - How I'd become a Data Analyst in 2026 ⬇️ 1️⃣ Get in the door (any role) Data Analyst titles are hard to land, degree or not. So get into any role at
229.7K
IT
@itssimplyjordan
How I’d become a Data Analyst in 2026 ⬇️ 1️⃣ Get in the door (any role) Data Analyst titles are hard to land, degree or not. So get into any role at a tech forward company with an analytics team/department . Sales. Ops. Data entry. Work up! Prove your value. That’s exactly what I did. 2️⃣ Improve what’s in front of you Look for small things you can control: • Excel • MS Access • Power Query Invoices research (ms access), trends, reports doesn’t matter, anything YOU can do. 3️⃣ Learn only what you need Target the tools you’re already working with/access too. (DataCamp and Codecademy worked for me) 4️⃣ Build something real Not tutorials. Build a tool people (and you) actually use even if it’s simple. Examples could be: Using forms and VBA/SQL in ms access to build a form for people to researching invoices! 5️⃣ Show your work Demo it. Explain the impact. Who uses it. Why it matters. And how it helps! 6️⃣ Say yes to opportunities Take on EVERYTHING, prove you can do the work, even if it adds more stress. That’s how you stack proof for the next role. No degree required. 👉 Follow if you’re breaking into data. #dataanalyst #howto #breakintotech #nodegree #2026goals
#Data Management Reel by @life.by.elliot - 1. QUALIFY + ROW_NUMBER() Lets you rank rows and filter results in the same query - perfect for grabbing the most recent or top record without subquer
369.2K
LI
@life.by.elliot
1. QUALIFY + ROW_NUMBER() Lets you rank rows and filter results in the same query — perfect for grabbing the most recent or top record without subqueries. 2. LAG / LEAD Used to look at the previous or next row — great for comparing changes over time (day-over-day, month-over-month). 3. CTE (WITH clause) Creates a temporary, named query so you can break complex SQL into clean, readable steps. #data #analyst #dayinthelife #dadlife #sql
#Data Management Reel by @mabel.tech (verified account) - DAY IN THE LIFE OF A DATA ANALYST 💻💡 Today I decided to show you the behind the scenes. Follow along as I break down a day in the life of a data a
12.0K
MA
@mabel.tech
DAY IN THE LIFE OF A DATA ANALYST 💻💡 Today I decided to show you the behind the scenes. Follow along as I break down a day in the life of a data analyst, sharing insights and shedding light on this fascinating field. 🤩 #DataAnalyticsUnveiled #BehindTheData #dataanalytics #datascience #techcareers
#Data Management Reel by @edhillai (verified account) - Comment "Sheets" to get it, your data analyst is just a WhatsApp message away. Dealing with data in a spreadsheet can be a hassle, especially when yo
28.1K
ED
@edhillai
Comment „Sheets“ to get it, your data analyst is just a WhatsApp message away. Dealing with data in a spreadsheet can be a hassle, especially when you’re on the go and need an instant answer. This automation changes all of that by turning your Google Sheet into an on-demand analysis tool that lives right in your pocket. This is a personal data analyst you can talk to. Here’s how it works. You send a quick, natural language question to a WhatsApp number—for example, „What were our sales for June?“ An AI agent, powered by n8n’s no-code workflow, connects directly to your Google Sheet. It analyzes the data, finds the exact insight you asked for, and sends you a clear, instant response. No more opening spreadsheets, searching for the right column, or building complex formulas. Just effortless, on-demand insights at your fingertips. Imagine you’re in a client meeting and need a specific metric, or you’re a team lead wanting a quick summary of a project’s status. With this agent, the answer is just a text message away. What kind of insights would you want to get from your data? #n8n #aiautomation
#Data Management Reel by @nataliedawson (verified account) - What data do you actually need to make the best decision possible?
52.5K
NA
@nataliedawson
What data do you actually need to make the best decision possible?

✨ Guia de Descoberta #Data Management

O Instagram hospeda 1 million postagens sob #Data Management, criando um dos ecossistemas visuais mais vibrantes da plataforma.

#Data Management é uma das tendências mais envolventes no Instagram agora. Com mais de 1 million postagens nesta categoria, criadores como @chrisoh.zip, @life.by.elliot and @itssimplyjordan estão liderando com seu conteúdo viral. Navegue por esses vídeos populares anonimamente no Pictame.

O que está em alta em #Data Management? Os vídeos Reels mais assistidos e o conteúdo viral estão destacados acima.

Categorias Populares

📹 Tendências de Vídeo: Descubra os últimos Reels e vídeos virais

📈 Estratégia de Hashtag: Explore opções de hashtag em alta para seu conteúdo

🌟 Criadores em Destaque: @chrisoh.zip, @life.by.elliot, @itssimplyjordan e outros lideram a comunidade

Perguntas Frequentes Sobre #Data Management

Com o Pictame, você pode navegar por todos os reels e vídeos de #Data Management sem fazer login no Instagram. Nenhuma conta é necessária e sua atividade permanece privada.

Análise de Desempenho

Análise de 12 reels

✅ Competição Moderada

💡 Posts top têm média de 318.1K visualizações (2.5x acima da média)

Publique regularmente 3-5x/semana em horários ativos

Dicas de Criação de Conteúdo e Estratégia

💡 O conteúdo de melhor desempenho recebe mais de 10K visualizações - foque nos primeiros 3 segundos

📹 Vídeos verticais de alta qualidade (9:16) funcionam melhor para #Data Management - use boa iluminação e áudio claro

✍️ Legendas detalhadas com história funcionam bem - comprimento médio 885 caracteres

✨ Muitos criadores verificados estão ativos (75%) - estude o estilo de conteúdo deles

Pesquisas Populares Relacionadas a #Data Management

🎬Para Amantes de Vídeo

Data Management ReelsAssistir Data Management Vídeos

📈Para Buscadores de Estratégia

Data Management Hashtags em AltaMelhores Data Management Hashtags

🌟Explorar Mais

Explorar Data Management#manager#clinical data management cdm career roadmap#manageable#master data management#managment#aishu data management news#dataing#bi data management best practices