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This is the EXACT order I would learn Data Science in 2026. Hi 😊 my name is Dawn. I’ve been a Data Scientist at Meta, Patreon and other startups. And have coached 20+ clients into landing their dream Data jobs in the past year. 1️⃣ Learn SQL SQL is a must-have skill for every data professional because it’s the primary way you get data OUT of a database. It’s also a very easy coding language to learn, so I would start there. Use Interview Master to learn and practice SQL (link in bio): → Learn SQL: www.interviewmaster.ai/content/sql → Practice SQL: www.interviewmaster.ai/home 2️⃣ Start building Product Sense & Business Sense Product sense & business sense basically means you know how to use Data to solve real problems. I would start building this “soft” skill early because (1) it takes time to really learn this, and (2) as you’re learning Stats and Python, you already have context on how these might be used in the real world. I found the book: Cracking the PM Career to be super helpful before I landed my first Data Science job. 3️⃣ Learn Statistics How much Stats do you need for Data Science? Just the foundations, but you need to know it really really well. → Descriptive statistics → Common distributions → Probability and Bayes’ Theorem → Basic Machine Learning models → Experimentation concepts → A/B experiment design Check out Stanford’s Introduction to Statistics, which is free on Coursera. 4️⃣ Learn Python Python is the #1 skill for Data Scientists in 2025, but I put it 4th on this list because I find that it builds on skills 1-3. I learned Python on my own using DataCamp’s Python Data Fundamentals (link in bio). 5️⃣ Use AI-assisted coding tools Many data scientists are already using tools, like Claude Code & Cursor, to 2x their productivity. And also many companies are evaluating you on your use of AI during interviews. #datascience #datascientist

Comment ‘Projects’ to get 5 Data Scientist Project ideas and a plan 👩🏻💻 ♻️ repost to share with friends. Here is how to become a data scientist in 2026 and beyond 📈 the original video was 4 min Andi had to cut it down to 3 because instagram. Should I do a part 3v what are other skills that you would add to the list and let me know what I should cover in the next video 👩🏻💻 #datascientist #datascience #python #machinelearning #sql #ai

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

Here is a full roadmap on how to get started with Data Science. Comment “DATA” for the full roadmap pdf. #datascience #machinelearning #coding #ai #university

The certification game has changed in 2026 and most people are chasing wrong ones and I am going to clear this once and for all. For Data Analyst, start with Google Data Analytics Certficate. Then build on it with AWS Cloud Practitioner and finally wrap up with Databricks Data Analyst. For Data Engineer, start with Google Professional Data Engineer then build with Databricks Data Engineer Associate and Master everything with Databricks Certified Data Engineer Professional For Data Scientist, start with IBM Data Science professional certificate build with Databricks ML associate and master everything with AWS Certified Generative AI Developer I have given such details for every profession like : Cloud Dev Ops Engineer, Cloud Solutions Architect, Cybersecurity, Site Reliability Engineer so follow and comment “cert” to get them in your dm . . #certificate #jobs #hiring

Ep48 - Free Microsoft Data Analyst Certifications No need of wasting your money on random courses when you can get certified for free from Microsoft!! Microsoft is offering free courses in data analytics space. These courses are absolutely free and can act as a foundation for your data analyst journey. I have prepared a detailed pdf on how to enroll in this course and start working on your first capstone data analytics project. This can increase your chances of getting in to data analytics domain. Comment POWER BI and ill send you the pdf and apply link directly in your DM. Make sure you follow the account @fitwit_krish to receive the links as the automation is enabled only for followers 🙌 [free, data analyst, resources, certifications, career] #free #dataanalytics #resources #certification #freshers

The best projects serve a real use case Comment “data” for all the links and project descriptions #tech #data #datascience #ml #explore

3 Data Analytics Certifications for Free. SAVE for future ✅ Complete them to build a strong resume. 1. Introduction to Data Analytics - 2 hrs 2. Exploratory Data Analysis - 1.5 hrs 3. Data Analytics with Python - 8 hrs I upload important links on my Broadcast channel. Link in bio 🔗 Direct link👇 🌟Comment 👉 " link" 🔏 Bookmark for Future Access! 📲 🔶 Share with Others ❤ Follow @tricky_world23 for more such reels 🙌❤ . #Student #Free #IT #careercoach #careerhelp tech Course

Comment "certificate" and I'll DM you all the links 5 certifications that'll actually get you hired in data in 2026. Not the overrated ones everyone talks about, these are the ones recruiters actually recognize and most of them are completely free. But here's what nobody tells you: certifications open the door, but projects get you the job. So, build something real, put it on GitHub, and talk about it in interviews. That's what separates you from 500 other applicants. Comment "certificate" and I'll DM you all the links Save this and share this with someone who wants to enter data analytics in 2026. [certifications, data, hired, free, google, ibm, microsoft, kaggle, meta, sql, python, tableau, power bi, coursera, analytics, resume, recruiter, projects, github, linkedin, career, interview, dashboard, machine learning, 2026, trending, fyp, viral] #dataanalytics #techcareers #freecourses #datascience #learntocode

Learn data science fundamentals for free! STEM background recommened but not required for most courses. - free data science courses? - best way to learn data science online? - how do I learn data science? #ai #datascience #learning #sabrinaramonov

Free Microsoft Data Analysis Certification: Unlock High-Paying Jobs 🚀 To access the certification course by Microsoft, Like this reel and comment “Microsoft“ and I’ll share all the info 💯 - We discuss a free data analysis certification course by Microsoft that can help you land a high-paying job as a fresher, with a salary range of 10 to 16 lakh rupees per annum. The course is designed and taught by Microsoft experts, and upon completion, you’ll receive a certification that can open doors to opportunities at multiple MNCs, including Microsoft itself. This is an absolutely free course, so don’t miss out on this chance to kickstart your career in data analysis. - #DataAnalysis #MicrosoftCertification #HighPayingJob #FreeOnlineCourse #CareerGrowth #it #placement #interview

3 data science projects you can do in a weekend. If you’re learning data science, one of the best ways to improve is by working through real examples. Here are three Kaggle notebooks you can explore: • Loan Prediction – predicting whether a loan gets approved based on applicant data. • Bank Churn – analyzing which customers are likely to leave a bank. • House Price Prediction – estimating house prices from property features. You can study the notebooks and also try solving the same problems yourself using the same datasets. It’s a great way to practice and see different ways people approach the same problem. Comment “DATA” and I’ll send you the notebooks. #coding #datascience #university
Top Creators
Most active in #data-science-certifications
Reels Graph Intelligence.
Advanced mapping of high-affinity Instagram Reels semantic patterns identified within the #data-science-certifications ecosystem.
Strategic Implementation
Our semantic engine has identified these specific pattern clusters as high-affinity matches for #data-science-certifications. Integrated usage of #data-science-certifications with strategic Reels tags like #data science and #science is statistically linked to a significant increase in initial Reels discovery velocity.
In-Depth Hashtag Analysis: #data-science-certifications
Expert Review • June 4, 2026 • Based on 12 Reels
Executive Overview
#data-science-certifications is an actively used Instagram hashtag. Across the 12 trending reels analyzed on this page, the content has accumulated a combined total of 2,526,725 views— demonstrating strong content velocity within this content vertical. The top creator ecosystem features 8 notable accounts, led by @chrisoh.zip with 617,909 total views. The hashtag's semantic network includes 76 related keywords such as #data science, #science, #certificate, indicating its position within a broader content cluster.
Viewership & Reach Analysis
The 12 reels in this dataset have generated a combined 2,526,725 views, translating to an average of 210,560 views per reel. This strong average viewership suggests healthy algorithmic distribution. Reels using this hashtag are reliably reaching audiences interested in this niche.
The highest-performing reel in this dataset received 617,909 views. This viral outlier performance is 293% of the average reel performance in this set. This significant gap between the top performer and the average highlights the "viral lottery" nature of this hashtag — breakout hits can achieve massive scale.
Content Overview & Top Creators
The #data-science-certifications ecosystem is dominated by short-form video content (Reels), aligning with Instagram's algorithmic preference for video-first distribution. There are 8 distinct accounts contributing to the trending feed. The top creator, @chrisoh.zip, has contributed 1 reel with a total viewership of 617,909. The top three creators — @chrisoh.zip, @jayenthakker, and @sundaskhalidd — together account for 53.8% of the total views in this dataset. The semantic network of #data-science-certifications extends across 76 related hashtags, including #data science, #science, #certificate, #certification. Creators often use these tags together to reach overlapping audiences.
Discoverability & Reach Potential
The discoverability metrics for #data-science-certifications indicate an active content ecosystem. The average of 210,560 views per reel demonstrates consistent audience reach. For creators using #data-science-certifications, posting consistently with trending audio and relevant angles will help you get noticed.
Analyst Verdict
#data-science-certifications demonstrates the hallmarks of a steadily growing Instagram hashtag. With an average of 210,560 views per reel, the viewership metrics position this hashtag as a reliable reach driver. Creators like @chrisoh.zip and @jayenthakker are leading the charge, setting viewership benchmarks for the community.
Frequently Asked Questions
Everything about #data-science-certifications on Instagram
Global Reels Trends
Explore high-velocity Instagram Reels hashtags currently shaping global discovery.











