#Data Analysis Techniques For Pattern Recognition

Stop suffering in silence. These tools will level up your analysis game! Which one’s your fav? Comment down👇🏻 #dataanalysis #phdlife #statsmadeeasy #dataanalysis #rstats #prism #researchtools #scientificreels #academiaa #phd #phdwithanjali #juliusai @try_julius.ai

FREE Data Analytics learning resources. Seriously, start here before paying for any courses. These are FREE & a great introduction for any skill you want to learn. - SQL: https://www.youtube.com/watch?v=7S_tz1z_5bA - Excel: https://www.youtube.com/watch?v=pCJ15nGFgVg - Tableau: https://www.youtube.com/watch?v=aHaOIvR00So - Python: https://www.youtube.com/watch?v=LHBE6Q9XlzI #dataanalytics #dataanalyst #datascience #womenintech #aiengineering #techcareers

🚨 Want to become a Data Analyst but don’t know where to start? 👀 I’ve got you covered — Microsoft has launched a dedicated learning path with free resources to help you master Data Analytics step by step! 📊 💬 Comment “DATA” and I’ll DM you the complete roadmap + official Microsoft resources. ✅ Beginner to advanced topics covered ✅ 100% FREE learning materials ✅ Certificate-ready path to build your career 🔥 This is your sign to start learning data analytics the right way — straight from Microsoft! 🚀

AI tool for data analysis ✅ . In this reel i have shared one AI tool that you can use to complete your statistics or complete your dat analysis for your thesis. This is a new update by @answerthis.io which can speed up your research work. . #phd #aitool #dataanalytics #research

Data Analytics projects don’t have to be difficult. My projects typically follow this flow: 🏁 Objective ➡️ Data Gathering ➡️ Data Cleaning ➡️ Data Exploration ➡️ Analysis ➡️ Visualization ➡️ Recommendations The final presentation can be in form of a write-up, a slide deck or just a dashboard. I usually do a combination of 2 out of the 3. If you want a deeper dive on the slide deck or any questions in general, let me know in the comments! Don’t forget to share to someone who might need this 🤍 #dataanalytics #dataanalysis #dataprojects

Boost Your Data Analysis Skills! 📈🔍 Check out these incredibly useful Python functions that will take your data analysis skills to the next level! 💪💻 1️⃣ Pandas: `read_csv()` 📄 Import data from CSV files with ease! 📊📁 Pandas’ `read_csv()` function lets you effortlessly load data into a DataFrame, allowing you to manipulate and analyze it with just a few lines of code. 📝💡 2️⃣ NumPy: `mean()` and `std()` 📐 Need to calculate the mean or standard deviation of a dataset? Look no further! NumPy’s `mean()` and `std()` functions provide efficient ways to compute these statistical measures, helping you gain insights into your data’s central tendency and variability. 📊📉 3️⃣ Matplotlib: `plot()` 📈 Visualize your data like a pro! 📊👁️‍🗨️ Matplotlib’s `plot()` function enables you to create stunning charts and plots, allowing you to communicate your findings effectively. From line plots to scatter plots, the possibilities are endless! 📉🌌 4️⃣ Seaborn: `heatmap()` 🌡️ Uncover patterns and correlations in your data! 🔎🧩 Seaborn’s `heatmap()` function generates beautiful heatmaps, highlighting relationships between variables in a visually appealing way. Perfect for exploring complex datasets and identifying trends at a glance! 📊🔥 5️⃣ Scikit-learn: `train_test_split()` 👥📚 Preparing your data for machine learning? Scikit-learn’s `train_test_split()` function is here to help! 🤖🔍 It splits your dataset into training and testing sets, ensuring you have the right data for model training and evaluation. Get ready to build powerful predictive models! 📈💡 Follow @datapatashala_official #PythonForDataAnalysis #DataScience #DataAnalysis #PythonFunctions #DataSkills #datascience #dataanalysis #excel #python #sql

You cannot become a data analyst if you can’t do these things (shared the tools I use in the end)🔥🔥 Follow @onestopdata for data related content! ✅The most imp thing data analysts do is to understand the business requirements. (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(sometimes) #dataanalytics #onestopdata #datacleaning #dataprocessing #dashboard #reports #sql #powerbi #excel #python

Data analysis isn't about crunching numbers anymore 🤯 Comment "docs" for a list of prompts and a guide around data analysis with AI. Mastering AI for data visualization is less about being a technician and more about becoming a strategic storyteller. This single shift in focus is what separates junior analysts from senior leaders.

The manual effort of analyzing data, building dashboards, or needing to be at a computer for a simple report is a huge drain on your time. This automation changes all of that by putting an intelligent AI data analyst right on your phone. This is a personal data analyst you can talk to. Here's how it works. You send a quick, natural language question to your WhatsApp number—for example, "What were our sales for last month?" An AI agent, powered by an n8n workflow, reads the message, connects to your Google Sheet, and instantly runs the analysis for you. It can filter data, sum up totals, and find specific insights. No more complex formulas, clunky spreadsheets, or waiting to get back to your laptop. Just an effortless way to get the data you need, when you need it. Imagine being in a meeting or on the go and getting a full sales report with a single text message. You have complete control over your data without any of the hassle. What kind of insights would you want to get from your data?

I won’t be mad if you copy this entire roadmap… #dataanalyst #dataanalysis #dataanalytics #data #analyst #techjobs #breakintotech #wfh #workfromhome #wfhjobs #remotejobs #remotework #excel #sql #tableau #python

How I built this data analytics project that uses LLMs to interpret multimodal data (KPI images)! ↳ Pulled the KPI images from a PDF ↳ Connected to OpenAI’s GPT-4 nano ↳ Input prompt & images into LLM ↳ Wrote the results to a report PDF (and I did it without any code too 😉) I used @knimesoftware to put together all the steps visually and create this analysis! It’s free and open source, so you can do it too! KNIME owns the entire data analytics pipeline and makes it really easy to follow the logic from raw data to final output. And it has so many data connections so you can pull data from spreadsheets, databases, APIs, cloud services, and more! Try KNIME today! #data #dataanalytics #knime #project #ai

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