#Bootcamp Data Analyst

Perbandingan Data Scientist vs Data Analyst vs Data Engineer 🧑‍💻 Cari kerja itu tidak gampang, per November 2025, jumlah orang menganggur ada sekitar 7.35 juta orang. Akan tetapi, @dibimbing.id bisa bantu kamu persiapan semua yang dibutuhkan dari awal sampai salurin ke hiring partner. Komen "MAU" untuk dapetin trial class secara GRATIS! Btw, kamu tipe karir data yang mana nihh, coba vote 👇 #PulangBawaCerita #dataanalytics #dataengineering #datascience #artificialintelligence

Alex the analysts @alex_the_analyst Data Analyst Bootcamp is my go to suggestion for anyone looking to get started in Data Analysis and become job ready. The bootcamp covers topics like Excel, SQL, PowerBI, Data Analysis etc. Special Benefits for Our Instagram Subscribers 🔻 ➡️ Free Resume Reviews & ATS-Compatible Resume Template ➡️ Quick Responses and Support ➡️ Exclusive Q&A Sessions ➡️ Data Science Job Postings ➡️ Access to MIT + Stanford Notes ➡️ Full Data Science Masterclass PDFs ⭐️ All this for just Rs.45/month! . . . . . . . #datascience #machinelearning #python #ai #dataanalytics #artificialintelligence #deeplearning #bigdata #agenticai #aiagents #statistics #dataanalysis #datavisualization #analytics #datascientist #neuralnetworks #100daysofcode #genai #llms #datasciencebootcamp

Comment “skills” to get more details! Join Coding Ninjas Data Analytics Job Bootcamp to master the skills, tools, crack interviews, and land your dream job✨ #codingninjas #dataanalytics

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

Join our Cohort 5 of Data Analytics Intensive Live Bootcamp where we teach everything you need to become a data analyst! Check the link in bio or DM us! #dataanalyst #data #dataanalytics

Comment “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

Become a Data Analyst In 1 Month 📚🎓🚀 Here is a Roadmap ⬇️ 🌟1 month = 4 weeks 🌟1 week = 7 days 🌟1 day - Give 3 hrs only ⭐️ 3 hrs per day = 90 hrs in a month Here are the steps you need to follow: 🌟7 days×3 hrs = 21 hrs - Power BI 🌟7 days×3 hrs = 21 hrs - SQL 🌟8 days×3 hrs = 24 hrs - Data visualization libraries of R and Python for example numpy, pandas, plotly etc 🌟3 days×3 hrs = 9 hrs - Projects 5 days×3 hrs = 15 hrs - Portfolio 💥Total - 90 hrs (1 month) 🔗 Comment “Link” for Resources 👍 Like, 💬 comment, 💾 save, and ↗️ share if you found this helpful! Don’t forget to follow @aasifcodes for more such content. 👉🏼 HASHTAGS #PythonDataScience #aasifcodes #datascience #dataanalysis #Datascientist #dataanalyst #python #deeplearning #AI #data #coding #programming #MachineLearning #AI #dataanalystroadmap #roadmap #PowerBI #bootcamp #workshop ##analyticstraining #trending #viral #explore

Welcome to my 2-week Power BI Micro Bootcamp! In the next 14 days, we’ll cover the basics of Power BI in a total of about 30 minutes. #DellProMax #DellTech #NVIDIA #dataanalyst #dataanalysis #dataanalytics #data #analyst #powerbi #datavisualization #techjobs #breakintotech #wfh #workfromhome #wfhjobs

People are spending ₹10,000–₹20,000 on data analytics courses…👇🏻✅🤑🤯 but most of that content is already available for free. The real problem is not lack of resources… 👉 it’s lack of practice and direction Platforms like: 👉 Kaggle (real-world datasets + projects) 👉 YouTube (structured learning if used right) 👉 GitHub (real project exposure) can actually teach you more than most paid courses — if you use them properly. Don’t just keep learning… 👉 start building. Save this if you’re serious about your data career. #DataAnalytics #LearnDataAnalytics #TechCareers #CareerGrowth #dataanalyst

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

Data Analytics Road map (6-9 months) https://drive.google.com/drive/folders/17KOCp6F1JGqOCwIdryzcDykNCSu93Ltc?usp=sharing Built from my personal interview experiences(Interviews given - 5+) Duration - 1-2 Months - Basics Learn basic - intermediate SQL(joins) from youtube/udemy Basic Python from youtube/udemy/Leetcode Basic Excel Duration 2-3 Months - Intermediate Practice intermediate to advanced SQL on Data Lemur/Leetcode/WiseOwl Practice easy-intermediate python questions on Leetcode/Hackerrank Start BI - Power BI tutorial from youtube/udemy Duration 3-4 Months - Advanced Learn Pandas/pyspark, practice EDA on csv files from Kaggle datasets on jupyter notebook/colab Practice advanced SQL questions(window functions) Build BI projects from kaggle datasets/Datacamp Github profile to showcase your projects + LinkedIn Theoretical knowledge on ETL pipelines/ Data warehousing concepts(Chat GPT) Resources SQL - Theory - W3Schools(free)/Udemy(paid), Practice - Leetcode/Data Lemur Python - Theory - Youtube/Udemy, Practice - Leetcode(easy to medium) Data Warehousing+ETL - Tutorials Point/Udemy, Datacamp/Chat GPT Power BI/Tableau - Datacamp, wiseowl Pandas/Pyspark - Datacamp, Leetcode, Kaggle Basic Excel . . . . . . #big4 #fyp #data #analytics #ootd #grwm

Comment - Excel - to get the document containing required Excel Topics for Data Analyst role with free resources to learn. #dataanalyst #datascience #job #interview #hiring #excel