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ECComment roadmap to get sent my free and complete data engineering roadmap!
@eczachly
#Data Engineering Certification Programs
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CAUnlock the power of data with free Cisco certificate courses!
Learn from this course 👇
✅EXCEL
✅SQL,
✅TABLEAU,
✅POWER BI, and Data transformation techniques to supercharge your analytics skills.
🔗https://skillsforall.com/course/data-analytics-essentials🔗
Don't miss this chance to elevate your career📈
#career #certification #onlinecourse #freecertificatecourses #jobinterview
@careerblaze
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QRComment “Link” to get link of these courses
Unlock Your Data Analytics Potential with Free Courses! 🌟
Are you passionate about data analytics and eager to advance your career without spending a dime? We’ve curated the top 3 free data analyst courses that not only provide valuable knowledge but also come with certifications to boost your resume:
✅1. Power PA Data Analyst Professional Certificate by Microsoft: This course offers comprehensive training from industry experts at Microsoft. Learn how to analyze data, create reports, and make data-driven decisions with advanced tools and techniques.
✅2. Data Analyst Professional Certificate by Meta: Dive into data analytics with Meta’s specialised course. Gain insights into the latest data analysis methodologies and tools used by professionals at Meta, and develop skills that are in high demand in the tech industry.
✅3. Data Analyst Capstone Project by IBM: This project-based course from IBM allows you to work on real-world data analysis projects. Get hands-on experience with IBM’s advanced analytics tools and showcase your skills with a recognized certification.
To get these free courses link,
1.Share this video
2.Follow @qriocity.in
3.Comment “Link” in comment box
Turn on 🔔 notification on this profile & so that you don’t miss our posts.
#learnforfree #dataanalytics #careerboost
@qriocity.in
14.3K
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
109.7K
DAFREE Certified Courses Links:
1️⃣Get started with Microsoft data analytics - Microsoft
https://learn.microsoft.com/en-us/training/paths/data-analytics-microsoft/
2️⃣ Python Course for Beginners With Certification - Scaler
https://www.scaler.com/topics/course/python-for-beginners/
3️⃣ Elements of AI - Google
https://www.elementsofai.com/
4️⃣ ML/DL Courses - Kaggle
www.kaggle.com/learn
5️⃣ Huggingface LLM Course
https://huggingface.co/learn/llm-course/chapter1/1
6️⃣Generative AI Explained
https://resources.nvidia.com/en-eu-ai-buying-campaign-fy25q1/generative-ai-explained
7️⃣AI Agents Course
https://huggingface.co/learn/agents-course/en/unit0/introduction
@microsoft @google @nvidia @scaler_official
🚨 The Insane Benefits of becoming a Data Science Brain Instagram Subscriber
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Subscribe now by clicking subscribe button in bio ✅
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#data #datascience #dataanalytics #dataanalysis #dataanalyst #datascientist #datacleaning #statistics #python #sql #dataengineering #engineering #pandas #datavisualization #machinelearning #deeplearning #datasciencejobs #datascienceinternship #datascienceroadmap #learndatascience #learndataanalytics #datascienceinterview #datasciencebooks
@datasciencebrain
17.4K
TH5 FREE AI certificates that you can add to your resume/linkedin
@thenadcoder
349.2K
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
985.8K
MECerts alone won’t get you the job
But they’re great for building the foundation of knowledge you need to get started if you’re trying to break into a tech role.
So what do you do after you’ve finished the certification course?
[first, save this!]
1. Apply the knowledge to build your first project
2. Iterate by taking more courses
3. Build out a portfolio of projects
4. Reach out to others already in the field who hold the same certification
Remember, it’s not about what you know, but rather HOW you apply that knowledge that will get you your job!
💾 Don’t forget to save this for later and follow me @meglovesdata for more tech career tips 💕
#techjobs #techcertifications #womenintech #womeninstem #datascientist #productmanager #softwareengineering #uiuxdesigner
@meglovesdata
25.2K
MUStarting out in Data Engineering can feel overwhelming because there are so many tools and technologies out there.
But before trying to learn everything, focus on building strong fundamentals.
Some free resources you can explore to get started:
* SQL full courses on YouTube
* Data engineering roadmap videos
* Python for data engineering basics
Once you’re comfortable with these, you can gradually move into data warehousing, pipelines, and cloud tools.
Save this if you’re preparing for Data Engineering roles so you can come back to these resources later.
What resource helped you the most while learning Data Engineering?
.
.
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[Data Engineering Resources, Learn Data Engineering, Data Engineering Roadmap, SQL Full Course, Python for Data Engineering, Data Engineering for Beginners, How to Become a Data Engineer, Data Engineering Learning Path]
@muskan.khannaa
497.6K
SD🟠Comment '30' and I'll send you data project tutorials on YouTube I made for you🟠
@sdw.online
243.7K
JEComment “project” for my full video that breaks each of these projects down in detail with examples from my own work.
If you’re using the Titanic, Iris, or COVID-19 dataset for data analytics projects, STOP NOW! These are so boring and over used and scream “newbie”. You can find way more interesting datasets for FREE on public data sites and you can even make your own using ChatGPT or Claude!
Here are the 3 types of projects you need:
↳Exploratory Data Analysis (EDA): Exploring a dataset to uncover insights through descriptive statistics (averages, ranges, distributions) and data visualization, including analyzing relationships between variables
↳Full Stack Data Analytics Project: An end-to-end project that covers the entire data pipeline: wrangling data from a database, cleaning and transforming it. It demonstrates proficiency across multiple tools, not just one.
↳Funnel Analysis: Tracking users or items move from point A to point B, and how many make it through each step in between. This demonstrates a deeper level of business thinking by analyzing the process from beginning to end and providing actionable recommendations to improve it
Save this video for later + send to a data friend!
@jessramosdata
556.2K
CHThe best projects serve a real use case
Comment “data” for all the links and project descriptions
#tech #data #datascience #ml #explore
@chrisoh.zip
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