#Fpy Data Analysis Tools

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

With Power BI, you can access all your planning work in one layout and one location using one tool. The below video demonstrates how you can navigate among different report areas and perform your analysis with a click of a button. ❌ Don't go through hundreds of pages to find the information you need. ❌ Don't set up tens of P6 filters to perform your analysis. ❌ Don't import numerous XER files to review the progress status on a specific data date. ❌ Don't use or go through several excel files to deliver your planning work. With power BI, you can: ✅ Access everything in one layout as shown in the below video ✅ Perform in-depth analysis in any area with a click of a button. ✅ Avoid having to deal with multiple files (excel, P6 or PDF reports). ✅ Avoid copying data from P6 to excel to prepare your report. 🔵 Planning is hard enough but you can work SMART. #powerbi #projectcontrol #primaverap6 #planningengineer #planningandscheduling #delayanalysis

Must-Have Data Analysis Tools for Every Researcher! 🔍📊 From cleaning messy data to creating stunning visualizations and building predictive models, these tools make data analysis easier and more efficient. Whether you’re working on research, business insights, or machine learning, there’s a tool for every need! Want more tips?Follow for more @drfred_phd for more helpful resources to take your research to the next level! #datascience #machinelearning #ai #bigdata #dataanalytics #deeplearning #python #statistics #drfredphd #datavisualization #neuralnetworks #coding #datadriven #artificialintelligence #tech #programming #analytics #phdlife #phdstudent #research #phdjourney #science #academia #thesis #gradschool #phdproblems #dissertation #academiclife #phdstudentlife

🟠Comment '30' and I'll send you data project tutorials on YouTube I made for you🟠

How to automate your FP&A reporting and analysis 🤯 #excel #exceltips #exceltricks #spreadsheets #corporate #accounting #finance #workhacks #tutorial #sheets #datarails #datarailspartner

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

You probably Googled “How to learn Data Analytics”… And got 100 tabs open. Courses, tools, bootcamps, blogs, YouTube videos, each saying “Start here.” But no one told you what not to do. No one gave you a starter kit that actually made sense. So I built. And now I use this same plan to guide beginners I mentor. Here’s the Data Analytics Starter Kit I wish everyone should have👇 1. Start with Excel → It’s not outdated, it’s underrated. → Master formulas, Pivot Tables, and charts. 2. Then SQL → Learn how to query real data. → SELECT, WHERE, GROUP BY, and JOIN. That’s 80% of your job. 3. Add one viz tool → Pick Tableau or Power BI. → Focus on storytelling, not fancy dashboards. 4. Forget 100-hour courses Instead, build 3 small projects: ⤷ A Sales Dashboard in Excel ⤷ A Customer Retention Report in SQL ⤷ A Visual Story in Tableau 5. Use GitHub + LinkedIn → Document your projects. → Share your process. → Visibility builds credibility. 6. Give it 6–8 weeks Learn 1 skill → Apply it → Move to the next. If you're just starting out, don't chase 10 tools. Build your foundation first. Want my full Data Analytics Starter Kit with a roadmap, tool list, and project ideas? Drop "Community" to join my community here. #datavisualization #dataanalyst #datascience #data #sql #excel #python #career #careerswitch #trending #learning #interviewtips #india #metricminds

Getting started in quantitative analysis 😎 The yfinance package in Python allows you to grab historical financial data straight from yahoo finance. If you can search for a company on yahoo finance, you can get historical data from it! Historical data is the foundation of machine learning/predictive models in the financial world. Patterns tend to repeat themselves, but picking out the significant patterns can be tricky! Follow for more free coding resources ✅ #code #coding #learntocode #data #tech

Understand the Need #datascience #datavisualization #dataanalytics #dataanalyst

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

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

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