1.8M
MAI 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
@marytheanalyst
#Analyst Prep
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16Trend Reels
(12)
841.3K
SURepost 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
@sundaskhalidd
514
ANHow many hours do you need to pass the FRM? The honest answer is that there is no magic number.
A full-time candidate has more time than a working professional. Your plan has to fit your life, not someone elses.
Here is what matters more than hours. A good question bank. Complete a chapter and solve questions right away. You will spot your weak areas before exam day. No surprises.
That is how you show up prepared.
What is your situation? Full-time candidate or working professional? Let us know. And save this post for when you build your study plan.
#frm #frmexam #analystprep
@analyst_prep
1.5M
AAHere’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]
@aanooook
54.8K
ASLet’s build a Data Analyst AI agent together (WITHOUT writing code)
I’m using n8n for this. This is one of my favorite no-code automation tools.
If you’d like to see a version in Python, let me know!
#datascience #aiagent #n8n
@askdatadawn
564.6K
FIEp44- 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
@fitwit_krish
222.5K
ITHow 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
@itssimplyjordan
3.2M
JAYou 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
@jayenthakker
298.7K
LIhow I analyze data as a Business Analyst at Spotify!
Spotify商業分析師如何分析數據？
ft. @tableausoftware
#womenintech #businessanalyst #dataanalyst #gendata #datafam #spotify
@lillian__chiu
12.6K
PHwatch this if you want to become a data analyst in 2026, these are my top simple tips 📊
1. Learn SQL: its the tool you’ll use to get data from databases, and then use to analyse business performance
2. Learn Excel or something similar: it’s great for ad hoc analysis and building engaging charts and diagrams
3. Get familiar with a reporting tool, you don’t need to be great at this just an understanding is fine
4. The core skills are communicating your insights clearly and understanding business metrics
Save this and come back to it when you’re planning what to learn, I have links on my profile for courses/guides for each of these aspects!
@phoebeslifeindata
96.7K
VETechnical Interview Prep for Data Analyst Role + Data Analyst Roadmap + 20 Data Analyst Jobs
.
.
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#dataanalyst #data #interview
@vee_daily19
468.1K
SD🟠Comment '30' and I'll send you data project tutorials on YouTube I made for you🟠
@sdw.online
✨ #Analyst Prep Keşif Rehberi
Instagram'da #Analyst Prep etiketi altında thousands of paylaşım bulunuyor ve platformun en canlı görsel ekosistemlerinden birini oluşturuyor. Bu devasa koleksiyon, şu an gerçekleşen trend anları, yaratıcı ifadeleri ve küresel sohbetleri temsil ediyor.
#Analyst Prep etiketi, Instagram dünyasında şu an en çok ilgi gören akımlardan biri. Toplamda thousands of üzerinde paylaşımın bulunduğu bu kategoride, özellikle @jayenthakker, @marytheanalyst and @aanooook gibi üreticilerin videoları ön plana çıkıyor. Pictame ile bu popüler içerikleri anonim olarak izleyebilirsiniz.
#Analyst Prep dünyasında neler viral? En çok izlenen Reels videoları ve viral içerikler yukarıda yer alıyor. Yaratıcı hikaye anlatımını, popüler anları ve dünya çapında milyonlarca görüntüleme alan içerikleri keşfetmek için galeriyi inceleyin.
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📹 Video Trendleri: En yeni Reels içeriklerini ve viral videoları keşfedin
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🌟 Öne Çıkanlar: @jayenthakker, @marytheanalyst, @aanooook ve diğerleri topluluğa yön veriyor
#Analyst Prep Hakkında SSS
Pictame ile Instagram'a giriş yapmadan tüm #Analyst Prep reels ve videolarını izleyebilirsiniz. Hesap gerekmez ve aktiviteniz gizli kalır.
İçerik Performans Analizi
12 reel analizi
💡 En iyi performans gösteren içerikler ortalama 1.8M görüntüleme alıyor (ortalamadan 2.4x fazla). Orta seviye rekabet - düzenli paylaşım momentum oluşturur.
Kitlenizin en aktif olduğu saatlerde haftada 3-5 kez düzenli paylaşım yapın
İçerik Oluşturma İpuçları & Strateji
💡 En iyi içerikler 10K üzeri görüntüleme alıyor - ilk 3 saniyeye odaklanın
📹 #Analyst Prep için yüksek kaliteli dikey videolar (9:16) en iyi performansı gösteriyor - iyi aydınlatma ve net ses kullanın
✍️ Hikayeli detaylı açıklamalar işe yarıyor - ortalama açıklama uzunluğu 561 karakter
✨ Çok sayıda onaylı hesap aktif (%50) - ilham almak için içerik tarzlarını inceleyin
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