#Big Data Analytics

What are the big data use cases you have tried? Comment below 👇 #bigdata #bigdataanalytics #bigdatatechnologies #bigdataanalysis #trendingreels

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

Repost to share with friends ♻️ Here’s how to become a data analyst in 2026 and beyond? 📈 The original video was 5 minutes long and I had to cut it down to 3 minutes because instagram. One part that got cut off was the job market. Should I post a part 2? what are other skills that would you add to the list?? #dataanalysis #dataanalyst #sql #python

🚨 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! 🚀

You’re excited about a career in data analytics, but then comes the big question: “Where do I even start?” Let’s break it down step by step: 1️⃣ Start with the Basics Begin with tools like Excel and SQL. Learn how to clean, analyze, and query data—it’s your foundation. 2️⃣ Pick a Visualization Tool Tableau or Power BI are great choices. Focus on creating simple dashboards that tell a story. 3️⃣ Learn Python for EDA Dive into libraries like Pandas and Matplotlib. Exploratory Data Analysis (EDA) is where you’ll uncover insights. 4️⃣ Take on Small Projects Start with things like: Sales trends analysis 📊 Customer segmentation 👥 Creating dashboards for stakeholders 🎯 5️⃣ Master Storytelling Insights are valuable, but only if you can communicate them. Practice presenting your findings in a way that resonates with your audience. 6️⃣ Build Your Portfolio Document your projects and showcase them on GitHub or Tableau Public. This will set you apart from the crowd. Remember, the journey might feel overwhelming, but small steps lead to big wins. P.S: I launched the most comprehensive 90 Days LIVE Data Analytics 5-in-1 Training to help #DataAnalysts thrive! I guarantee you'll learn : → Data visualization concept → Excel for Data Analysts → SQL for Data Analysts → Tableau → Data Storytelling Concepts Comment "LIVE" to register my 90 days LIVE training. -- Follow @jayenthakker and @metricminds.in ➕ Dedicated to helping aspiring data analysts thrive in their careers. -- #dataanalytics #dataanalyst #datavisualization #datascience #sql #metricminds #artificialintelligence #ml #python #excel #new #learning

🎯 Data Science vs Data Analytics — What’s the Difference & Which One’s for YOU? Both are booming fields. Both are in-demand. But they’re NOT the same! In this reel, we break down the core differences between Data Science and Data Analytics so you can pick the right path and future-proof your career. 💻📉🔍 🚀 Covered in the reel: 📌 What each role actually does 📌 Tools & skills you need to learn (Python, SQL, Tableau, ML, etc.) 📌 Career paths & job roles 📌 Average salaries & global demand 📌 Which one is better for freshers? 💡 Data Analysts focus more on interpreting existing data to make decisions. 💡 Data Scientists build models, predict outcomes, and work with deeper algorithms & machine learning. 🎓 Want to learn which course fits you or apply abroad for Data programs? we’ll guide you with personalized career advice + best universities in India & abroad! #DataScienceVsDataAnalytics #DataScience #DataAnalytics #BigData #MachineLearning #StudyAbroad2025 #CareerInData #SOPeditsOverseas #TechCareers #AnalyticsVsScience #StudyDataScience #DataCareer2025 #IndianStudentsAbroad #AbroadStudies

Data analyst Projects Ideas 💡

Data analyst , skills list with certification list .

If you’re starting your Data Analyst journey or want to grow in your role, certifications can help you stand out. Here are 5 top certifications to consider: 1. Microsoft Certified: Power BI Data Analyst Associate - Master Power BI for creating impactful visuals. Link : https://learn.microsoft.com/en-us/credentials/certifications/data-analyst-associate/?practice-assessment-type=certification 2. Google Data Analytics Certification Learn the basics like SQL, Excel, and Tableau. Link : https://grow.google/intl/en_in/data-analytics-course/ 3. Meta Data Analyst Professional Certificate Hands-on with SQL, Python, and visualization. Link : https://www.coursera.org/professional-certificates/meta-data-analyst 4. IBM Data Analyst Professional Certificate Develop skills in Excel, Python, and SQL. Link : https://www.coursera.org/professional-certificates/ibm-data-analyst 5. Tableau Certified Data Analyst Become a pro in building dashboards with Tableau. Link : https://www.tableau.com/learn/certification/certified-data-analyst Certifications like these are a great way to validate your skills, build confidence, and stand out to recruiters. Which one are you planning to pursue? Let me know in the comments! Follow @jayenthakker Dedicated to helping aspiring data analysts thrive in their careers. ➕ Follow @metricminds.in for more tips, insights, and support on your data journey! #DataAnalytics #DataAnalysts #Tableau #freeresources #onlinecourses

Data Analyst vs Business Analyst – which one is actually right for you as both work with data? Here's the thing, both the roles are similar but they don’t do the same job. Data Analyst lives in SQL, Excel, Python, dashboards, and trends. Answers: “What is happening in the data?” While business Analyst lives in meetings, requirements, stakeholders, and roadmaps. Answers: “So what should the business do next?” The right choice depends on whether you enjoy coding & deep analysis or business problems & communication. Save this if you’re confused between the two paths. [data analyst vs business analyst, data analyst role, business analyst role, analytics careers, tech careers, sql, stakeholder management] #dataanalyst #businessanalyst #analyticscareers #techcareers #sql

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 Analytics Road map (6-9 months) https://drive.google.com/drive/folders/17KOCp6F1JGqOCwIdryzcDykNCSu93Ltc?usp=sharing Built from my personal interview experiences(Interviews given - 5+) Duration - 1-2 Months - Basics Learn basic - intermediate SQL(joins) from youtube/udemy Basic Python from youtube/udemy/Leetcode Basic Excel Duration 2-3 Months - Intermediate Practice intermediate to advanced SQL on Data Lemur/Leetcode/WiseOwl Practice easy-intermediate python questions on Leetcode/Hackerrank Start BI - Power BI tutorial from youtube/udemy Duration 3-4 Months - Advanced Learn Pandas/pyspark, practice EDA on csv files from Kaggle datasets on jupyter notebook/colab Practice advanced SQL questions(window functions) Build BI projects from kaggle datasets/Datacamp Github profile to showcase your projects + LinkedIn Theoretical knowledge on ETL pipelines/ Data warehousing concepts(Chat GPT) Resources SQL - Theory - W3Schools(free)/Udemy(paid), Practice - Leetcode/Data Lemur Python - Theory - Youtube/Udemy, Practice - Leetcode(easy to medium) Data Warehousing+ETL - Tutorials Point/Udemy, Datacamp/Chat GPT Power BI/Tableau - Datacamp, wiseowl Pandas/Pyspark - Datacamp, Leetcode, Kaggle Basic Excel . . . . . . #big4 #fyp #data #analytics #ootd #grwm