#Data Driven Decision Making

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#Data Driven Decision Making 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
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@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 Driven Decision Making Reel by @nataliedawson (verified account) - What data do you actually need to make the best decision possible?
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@nataliedawson
What data do you actually need to make the best decision possible?
#Data Driven Decision Making Reel by @code2aicareer - Raw data doesn't drive decisions. Refined data does. Data Engineering makes that possible. #dataengineering #dataengineer #databricks #bigdata #ai
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@code2aicareer
Raw data doesn’t drive decisions. Refined data does. Data Engineering makes that possible. #dataengineering #dataengineer #databricks #bigdata #ai
#Data Driven Decision Making Reel by @the.datascience.gal (verified account) - Here's a roadmap to help you go from a software engineer to a data scientist 👩‍💻 👇 If you're tired of writing vanilla apps and want to build ML sy
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@the.datascience.gal
Here’s a roadmap to help you go from a software engineer to a data scientist 👩‍💻 👇 If you’re tired of writing vanilla apps and want to build ML systems instead, this one’s for you. Step 1 – Learn Python and SQL (not Java, C++, or JavaScript). → Focus on pandas, numpy, scikit-learn, matplotlib → For SQL: use LeetCode or StrataScratch to practice real-world queries → Don’t just write code—learn to think in data Step 2 – Build your foundation in statistics + math. → Start with Practical Statistics for Data Scientists → Learn: probability, hypothesis testing, confidence intervals, distributions → Brush up on linear algebra (vectors, dot products) and calculus (gradients, chain rule) Step 3 – Learn ML the right way. → Do Andrew Ng’s ML course (Deeplearning.ai) → Master the full pipeline: cleaning → feature engineering → modeling → evaluation → Read Elements of Statistical Learning or Sutton & Barto if you want to go deeper Step 4 – Build 2–3 real, messy projects. → Don’t follow toy tutorials → Use APIs or scrape data, build full pipelines, and deploy using Streamlit or Gradio → Upload everything to GitHub with a clear README Step 5 – Become a storyteller with data. → Read Storytelling with Data by Cole Knaflic → Learn to explain your findings to non-technical teams → Practice communicating precision/recall/F1 in simple language Step 6 – Stay current. Never stop learning. → Follow PapersWithCode (it's now sun-setted, use huggingface.co/papers/trending, ArXiv Sanity, and follow ML practitioners on LinkedIn → Join communities, follow researchers, and keep shipping new experiments ------- Save this for later. Tag a friend who’s trying to make the switch. [software engineer to data scientist, ML career roadmap, python for data science, SQL for ML, statistics for ML, data science career guide, ML project ideas, data storytelling, becoming a data scientist, ML learning path 2025]
#Data Driven Decision Making Reel by @shailjamishra__ - COMMENT " DATA and I will SEND the entire Data Science PreparationGuide along with "Topics to prepare " in your DM #microsoft #datascientist #projec
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@shailjamishra__
COMMENT “ DATA and I will SEND the entire Data Science PreparationGuide along with “Topics to prepare “ in your DM #microsoft #datascientist #projects #preparationmaterials #guides
#Data Driven Decision Making Reel by @onestopdata (verified account) - Although each day in the life of a data analyst is different, here are 5 key responsibilities that a data analyst has: Follow @onestopdata for data r
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@onestopdata
Although each day in the life of a data analyst is different, here are 5 key responsibilities that a data analyst has: Follow @onestopdata for data related content! Check the link in bio for details on my webinars and courses! (1) Gathering Data This means collecting data from different sources. Many a times this is done in collaboration with data engineers and architects hence usually the data analyst doesn’t have to do a lot in this. (2) Cleaning Data Going through the data and trying to understand it, making corrections where needed such as removing outliers or data that should not be included in the analysis. This step can take a lot of time, but understanding the data is crucial before you start to process it. (3) Processing data The data processing part of the process is where I use my skills and tools to analyze the work and come up with solutions for the problem at hand. (4) Creating reports for business leaders As an analyst, a lot of my time goes into creating and maintaining reports/dashboards for stakeholders and business leaders. This means showing the metrics and KPIs in the best manner possible to help drive business decisions. The best analysts are those that can use data to tell a story. (5) Collaborating with people This one is my favorite! As a data analyst, you work with many people across departments, both senior and junior. You’ll also likely collaborate closely with other people who work in data science like data architects and database developers. Tools I use: Excel,PowerBI,SQL and Python #data #dataanalytics #datacareer #datajobs #datascience #onestopdata #datavisualizatio#reels #reelitfeelit #trending #explore #careerindata #reelkarofeelkaro #datacleaning #dataprocessing #datagathering #dashboard #reports #collaboration #sql #powerbi #excel #python
#Data Driven Decision Making Reel by @pascal_bornet - 📊 Everyone wants to talk about AI → But very few want to talk about data I see it constantly - visionary AI strategies and bold promises slowed down
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@pascal_bornet
📊 Everyone wants to talk about AI → But very few want to talk about data I see it constantly — visionary AI strategies and bold promises slowed down by one silent obstacle: data unpreparedness. It’s rarely the model that fails first — it’s the foundation. Here’s what usually happens: → Contracts stored across disconnected systems → Servers unable to handle modern workloads → Undefined standards (like what “client” even means) → Invoice data missing line-level details → Critical information trapped in paper or inboxes AI doesn’t fix chaos. It amplifies it. If humans can’t access your data, AI won’t either. That’s why every successful AI transformation starts with data readiness, not data ambition. So — is your organization truly ready for AI, or still waiting for your data to catch up? #AI #Data #Technology #Innovation #DigitalTransformation #Leadership #Strategy
#Data Driven Decision Making Reel by @fitwit_krish (verified account) - Ep44- Stop learning everything!! Are you learning everything in data analytics?? that'sthe biggest mistake and the reason people stay stuck with out
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@fitwit_krish
Ep44- Stop learning everything!! Are you learning everything in data analytics?? that’sthe biggest mistake and the reason people stay stuck with out getting a job. Interviews don’t test random topics. They test specific skills. Right tools and project scenario based knowledge. As an experienced data analyst with over 8 years of experience i have created a detailed pdf from my data analyst journey on which topics needs to be covered. Which needs to be ignored. How to prepare your own project based portfolio. Answer questions with right tools and skill. Below are the details included in pdf. ✔️ What to learn (and what to skip) ✔️ Skills interviewers actually ask ✔️ Role-wise roadmap (Fresher → Job ready) ✔️ Project clarity + interview direction This is only for serious learners. Hence i made it as a paid one which costs a minimal fee. Follow and comment EP-44. I’ll send you the link directly. [data analytics, journey, road map, data analyst, jobs] #dataanalyst #journey #roadmap #skills #growth
#Data Driven Decision Making Reel by @heykenyap_ - Comment "rec" below if you want real examples of reconciliation projects to add to your portfolio, I'll send you my Notion guide! 💡 Do you know the
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@heykenyap_
Comment “rec” below if you want real examples of reconciliation projects to add to your portfolio, I’ll send you my Notion guide! 💡 Do you know the portfolio project almost no one does, but every company needs? I’ve been in analytics for 10 years, and data reconciliations are the most underrated project that can make your portfolio stand out. Stop building dashboards that impress no one - show your thinking, problem-solving, and analytical skills. #DataAnalytics #DataAnalyst #CareerTips #PortfolioProjects #DataSkills #EarlyCareer #CareerGrowth #DataScience #DataProfessional #AnalyticsTips #DataInvestigation #Reconciliation #PortfolioBuilding #CareerAdvice #BusinessAnalytics #DataProjects #LearnDataAnalytics #ProfessionalDevelopment #CareerAccelerator #DataDriven
#Data Driven Decision Making Reel by @maggieindata (verified account) - In this typical data analyst interview question, if you're not given a specific scenario to work with, they're looking for structured thinking, stakeh
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@maggieindata
In this typical data analyst interview question, if you’re not given a specific scenario to work with, they’re looking for structured thinking, stakeholder communications, and project hand off (aka documentation and long term thinking) #dataanalyst #interview #womenintech
#Data Driven Decision Making Reel by @eczachly (verified account) - Comment roadmap to get sent a more detailed data Eng roadmap!
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@eczachly
Comment roadmap to get sent a more detailed data Eng roadmap!
#Data Driven Decision Making Reel by @data_pumpkin - In my first years as a data scientist, I wasted hours on broken SQL, slow pandas scripts, messy Flask deployments, and "works on my machine" chaos. T
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@data_pumpkin
In my first years as a data scientist, I wasted hours on broken SQL, slow pandas scripts, messy Flask deployments, and “works on my machine” chaos. These 4 tools fixed that: • dbt → modular, documented SQL transformations • Polars → faster, cleaner alternative to pandas • FastAPI → quick, reliable model deployment • Docker → consistent environments, no more deployment nightmares If you’re just starting out, learning these early will save you months of frustration.

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