#Data Analyst

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

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

A day as data analyst . . . . . . . . . . . . #fypage #explorepage✨ #viral #trending #vlog #office #wfo #gwrm #bollywood #ethnic #desi #corporate #ootd #fashiongram #data #analyst

Here’s thing i wish i knew before becoming a data analyst 📊 1. SQL is your best friend — it gets you through 80% of the work. 2. Excel isn’t basic — pivot tables & formulas are used daily. 3. Visualization tools (Tableau/Power BI) make you stand out. 4. Communication > technical sometimes — if you can’t explain insights, they don’t matter. 5. You don’t need 100 certifications — projects & practice speak louder. 6. Most of your time is data cleaning — not fancy dashboards. 7. Business understanding is key — knowing why the data matters is more valuable than just coding. 8. Networking gets you jobs faster than applications — LinkedIn visibility + projects > sending 500 resumes [data analytics,data analyst, corporate, data]

want to become a data analyst in 2026? you don’t actually need a degree in maths or loads of prior experience 🚀 most companies care more about whether you can actually work with data to understand business problems than what you studied at uni or what niche skills you have. learn the basics: SQL, Excel and a repot building tool and learn how to pull insights and recommendations using these tools. if you’re looking to break into data analytics, switch careers into data, or land your first data analyst role - focus on building practical skills and learning how to explain your insights clearly. follow for more realistic career advice from a non-tech girlie working as a data analyst in the book industry #dataanalyst #womenindata #bookindustry #careerchange

My story from Non-IT to data analytics😍 Yes Data analytics can pay a lot of money! Read below- And yes! All this is base salary- bonus was extra✅ Join my broadcast channel if you want further details! I started working in a non-tech role after college with a package of 10 lacs. After 1 year decided to transition into data analytics and got a salary of 12 lacs per annum. Then got promoted multiple times- to a senior data analyst, data analytics manager and hence increased my salary from 16 Lacs to 30 Lacs per annum! So yes: ✅ You can transition from Non-IT to data analytics ✅ Data Analytics can pay a lot of money if you are good at it! Do you have questions? Put them in comments! Here are some courses I recommend that can help you get started in the field! All links are in my bio! 1️⃣Google Data Analytics Certification 2️⃣Meta Data Analyst 3️⃣Microsoft PowerBI Data Analyst Added this Link in Broadcast channel for these✅ [salary, onestopdata, job, internship, dataanalytics, datascience, google, meta , microsoft , nontech, coursera]

🚀 60-Day Data Analyst Roadmap (Practical-First Approach) 🎯 Goal: 2–3 strong projects Portfolio + resume ready Actively applying with proof of work Phase 1: Foundation Through Practice (Day 1–15) 🔹 Focus: Learn by DOING (not watching) Daily Structure (2–3 hrs max): 30 min → Learn concept 1.5 hr → Practice 30 min → Mini task What to do: ✅ Excel (Days 1–5) Functions: VLOOKUP, INDEX-MATCH, IF, COUNTIF Pivot Tables Cleaning messy data 👉 Practice: Take any dataset → clean + create summary dashboard ✅ SQL (Days 6–10) SELECT, WHERE, GROUP BY JOINS (very important) Basic aggregations 👉 Practice: Solve 15–20 real queries daily Use platforms like: LeetCode (easy SQL) ✅ Mini Project 1 (Days 11–15) Dataset: Sales / E-commerce / Netflix 👉 Do: Clean data Analyze trends Write insights (THIS is key) 📌 Output: 1 clean project (Excel or SQL-based) Phase 2: Real Projects + Storytelling (Day 16–35) 🔥 Focus: Portfolio > Learning ✅ Project 2 (Days 16–25) — Python + EDA Use: Pandas + Matplotlib 👉 Steps: Data cleaning EDA (find patterns) Ask business questions: Why sales dropped? Which segment performs best? 📌 Output: Jupyter Notebook + insights ✅ Project 3 (Days 26–35) — Power BI / Dashboard Build 1 STRONG dashboard 👉 Include: KPIs Filters Business insights 📌 Important: Don’t just build charts. Tell a story. Phase 3: Proof of Work + Job Prep (Day 36–50) 🔥 Focus: Getting interview-ready ✅ Resume (Day 36–38) Add: Projects (impact-based) Tools Metrics 👉 Example: ❌ “Analyzed sales data” ✅ “Improved sales insights by identifying top 3 revenue drivers” ✅ Portfolio (Day 39–42) GitHub (projects uploaded) ✅ Daily Routine (Day 43–50) 10 SQL questions daily Revise projects Practice explaining your work 👉 MOST IMPORTANT: Be able to explain your project like a story Phase 4: Aggressive Applications (Day 51–60) 🔥 Focus: Getting calls ✅ Apply Daily (Non-negotiable) 20–30 applications/day Platforms: LinkedIn Naukri Company websites ✅ Cold Messaging (Daily) Message recruiters/employees: “Hi, I’ve built projects in SQL, Python & Power BI. I’d love to be considered for entry-level roles.” You don’t get hired by learning. You get hired by showing. #dataanalyst

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

Day 1 📊 Want to become a Data Analyst in 2026? Here’s the complete series you need 🚀 Start with: ✅ Basics of Data Analytics ✅ Excel ✅ SQL ✅ Python ✅ Power BI & Visualization ✅ Projects & Portfolio You don’t need to learn everything in one day. Just stay consistent and keep building skills 💡 Save this roadmap for your learning journey 📌 Follow @Ctrl_c_vlearn for daily tech & data analytics content 🔥 #DataAnalytics #DataAnalyst #Python #SQL #Excel PowerBI Tech Coding Career Learning Students AI Programming 📊 Want to become a Data Analyst in 2026? Here’s the complete roadmap you need 🚀 Start with: ✅ Basics of Data Analytics ✅ Excel ✅ SQL ✅ Python ✅ Power BI & Visualization ✅ Projects & Portfolio You don’t need to learn everything in one day. Just stay consistent and keep building skills 💡 Save this roadmap for your learning journey 📌 Follow @Ctrl_c_vlearn for daily tech & data analytics content 🔥 DataAnalytics DataAnalyst Python SQL Excel PowerBI Tech Coding Career Learning Students AI Programming

Comment "youtube" to get the links in your DMs!🚀 . . [Data Analyst, data analytics career, interview, data analytics, data, career] #dataanalytics #dataanalyst #datascience #interview #careertips

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