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
#Data Quest
Watch 10K Reels videos about Data Quest from people all over the world.
Watch anonymously without logging in.
10K posts
NewTrendingViral
Related Searches
12Trending Reels
(12)
14.6K
ASThis 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
@askdatadawn
498.6K
SD🟠Comment '30' and I'll send you data project tutorials on YouTube I made for you🟠
@sdw.online
14.2K
RAData Scientist Roadmap
.
.
.
.
.
#reels #viral #trendingreels #newcollection
#viralvideos #reelsvideo #reelsinstagram #shorts #trending #viralreels
@random_code_83
568.3K
CHThe best projects serve a real use case
Comment “data” for all the links and project descriptions
#tech #data #datascience #ml #explore
@chrisoh.zip
350.5K
SUComment ‘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
@sundaskhalidd
1.5M
VOComment "Link" to get the links!
You Will Never Struggle With Data Structures & Algorithms Again
🔗 Explore these free visualization tools:
1️⃣ visualgo.net
2️⃣ cs.usfca.edu
3️⃣ csvistool.com
Stop memorizing code blindly. See every algorithm in action — arrays, linked lists, stacks, queues, trees, graphs, sorting, searching, and more. These interactive platforms show step-by-step exactly how data flows and how operations work.
Whether you’re preparing for coding interviews, studying computer science, or just starting with DSA, this is the fastest way to master the fundamentals.
Save this, share it, and turn complex algorithms into simple visuals you’ll never forget.
@volkan.js
30.6K
WO📍Learning to code and becoming a data scientist without a background in computer science or mathematics is absolutely possible, but it will require dedication, time, and a structured approach. ✨👌🏻
🖐🏻Here’s a step-by-step guide to help you get started:
1. Start with the Basics:
- Begin by learning the fundamentals of programming. Choose a beginner-friendly programming language like Python, which is widely used in data science.
- Online platforms like Codecademy, Coursera, and Khan Academy offer interactive courses for beginners.
2. Learn Mathematics and Statistics:
- While you don’t need to be a mathematician, a solid understanding of key concepts like algebra, calculus, and statistics is crucial for data science.
- Platforms like Khan Academy and MIT OpenCourseWare provide free resources for learning math.
3. Online Courses and Tutorials:
- Enroll in online data science courses on platforms like Coursera, edX, Udacity, and DataCamp. Look for beginner-level courses that cover data analysis, visualization, and machine learning.
4. Structured Learning Paths:
- Follow structured learning paths offered by online platforms. These paths guide you through various topics in a logical sequence.
5. Practice with Real Data:
- Work on hands-on projects using real-world data. Websites like Kaggle offer datasets and competitions for practicing data analysis and machine learning.
6. Coding Exercises:
- Practice coding regularly to build your skills. Sites like LeetCode and HackerRank offer coding challenges that can help improve your programming proficiency.
7. Learn Data Manipulation and Analysis Libraries:
- Familiarize yourself with Python libraries like NumPy, pandas, and Matplotlib for data manipulation, analysis, and visualization.
For more look at the comment ⤵️
.
.
.
#datascience #computerscience #datascientist #dataanalytics #dataanalyticstraining #python #softwaredeveloper #dataanalysis #bigdata #generativeai #codingbootcamp #businesswoman #veribilimi #codemotivation
@woman.engineer
53.2K
JAThe data structure and algorithm goats
@jameelcodes
111.6K
CHHere is a full roadmap on how to get started with Data Science. Comment “DATA” for the full roadmap pdf.
#datascience #machinelearning #coding #ai #university
@chrispathway
384
DAWhat if all brands used market research? It could lead to smarter decisions, stronger customer connections, and more innovative products—creating a win-win for both businesses and consumers!
چی دەبوو ئەگەر هەموو براندەکان توێژینەوەی بازاڕیان بەکاربهێنایە؟ دەتوانێت ببێتە هۆی بڕیاردانی زیرەکتر، پەیوەندی بەهێزتری کڕیار و بەرهەمی داهێنەرانەتر- هەلی بردنەوەی زیاترو بۆ هەردوو بازرگان و بەکارهێنەر!
ماذا لو اعتمدت جميع العلامات التجارية على أبحاث السوق؟ سيؤدي ذلك إلى قرارات أكثر ذكاء، وعلاقات أقوى مع العملاء، ومنتجات أكثر ابتكارا—مما يعود بالفائدة على كل من الشركات والمستهلكين!
#Dataquest #Marketresearch #business #success #Iraq
@dataquestiraq
141.7K
FAPerforming joins especially with large datasets will be a huge challenge in data processing. Here is the fix. 👇
1️⃣ Make a broadcast join
Instead of shuffling 50TB of data across the network to find matches, you should send a copy of the small table to every single worker node.
2️⃣ Map-Side Operation
This converts the operation into a local lookup. Each executor holds the full 100MB table in RAM and joins it against its local slice of the 50TB data.
3️⃣ The Memory Trap
Be careful -> if that “small” table grows too big (e.g., 2GB), broadcasting it will cause Out-Of-Memory (OOM) errors on the executors and crash the application.
4️⃣ Configuration Threshold
Check the spark.sql.autoBroadcastJoinThreshold. If the table is slightly larger than the default (usually 10MB), the system might default to a slow Sort-Merge join unless I increase this limit.
#dataengineering #bigdata #coding
🏷️ Data Engineering, Apache Spark, Coding Interview, Tech Interview, Big Data Processing, Spark, Python
@fatihexplains
✨ #Data Quest Discovery Guide
Instagram hosts 10K posts under #Data Quest, creating one of the platform's most vibrant visual ecosystems. This massive collection represents trending moments, creative expressions, and global conversations happening right now.
The massive #Data Quest collection on Instagram features today's most engaging videos. Content from @marytheanalyst, @volkan.js and @chrisoh.zip and other creative producers has reached 10K posts globally. Filter and watch the freshest #Data Quest reels instantly.
What's trending in #Data Quest? The most watched Reels videos and viral content are featured above. Explore the gallery to discover creative storytelling, popular moments, and content that's capturing millions of views worldwide.
Popular Categories
📹 Video Trends: Discover the latest Reels and viral videos
📈 Hashtag Strategy: Explore trending hashtag options for your content
🌟 Featured Creators: @marytheanalyst, @volkan.js, @chrisoh.zip and others leading the community
FAQs About #Data Quest
With Pictame, you can browse all #Data Quest reels and videos without logging into Instagram. No account required and your activity remains private.
Content Performance Insights
Analysis of 12 reels
💡 Top performing posts average 1.1M views (2.6x above average). Moderate competition - consistent posting builds momentum.
Post consistently 3-5 times/week at times when your audience is most active
Content Creation Tips & Strategy
💡 Top performing content gets over 10K views - focus on engaging first 3 seconds
📹 High-quality vertical videos (9:16) perform best for #Data Quest - use good lighting and clear audio
✨ Many verified creators are active (58%) - study their content style for inspiration
✍️ Detailed captions with story work well - average caption length is 622 characters
Popular Searches Related to #Data Quest
🎬For Video Lovers
Data Quest ReelsWatch Data Quest Videos
📈For Strategy Seekers
Data Quest Trending HashtagsBest Data Quest Hashtags
🌟Explore More
Explore Data Quest#quest#datas#quests#datae#questing#quested#dataing#quest ce quun data center