#Google Data Analytics

Google data analyst by google cloud . #data #google #job #career

Comment “Free” Google Data Analytics Professional Certificate Follow for more !!

Google Free Data Analyst Course with our own Data Analyst Roadmap . . . @getlinkinchat . . Follow @ribhu_susmita and Comment Anything to recieve the link in your dm . . . . Tags: software jobs, software jobs 2025, freshers, offcampus, coding, software developer, software engineer, artificial intelligence, student, offcampus, amazon, dsa, remote jobs, google, algorithms, data structures

DATA SCIENCE ROADMAP FROM GOOGLE DATA SCIENTISTS . . . #datascience #google #nodaysoff #AI #sql #python #roadmap #cheatsheet

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

Data Science Roadmap from a Googler❤️ Recently I spoke to several friends here in the Bay Area, one of them is a data scientist at google, some are data scientists at walmart, and a few others working in California! Based on their 4-10 years of experience in the field, I have designed a beginner friendly roadmap: ✅Covering 4 Month Timeline ✅Topics to cover and their resources ✅Frequently asked questions #datascience #google #softwareengineer #indiansinusa #jobsearch

Want to advance your data analyst skills? Take Google advanced data analytics certificate ✨ it covers python, statistics and goes on a lot more details. If you enjoyed the first data analytics certificate, then you will like this one too. Thoughts on the certificate? Link to courses in bio: @sundaskhalidd Follow @sundaskhalidd for data science, tech and career educational content✨ Tags 🏷️ #dataanalytics #sql #learntocode #datascience #dataanalyst #python #datascientist #dataengineer #cloudcomputing #programmer #programminglife #dayinthelife #learntocode #learndatascience #googlecertified

Become a 10X better data analyst with AI!✅ Use AI to make your life easy, so you can focus on things that actually matter😍 ➡️Link in BIO/ Broadcast channel: Check the new revamped Google Data Analytics Certification with 6 AI Modules! 💯 It is for beginners, will teach you all the skills required and will teach you how to make the best use of AI for data analysts too! ➡️AI can clean your data in minutes. ➡️Build complex formulas you struggle with. ➡️And create visualizations in ways you can’t imagine ✅AI didn’t just save me time; it saved my career and it will yours too😍 [ Google Data Analytics, Data science, data analyst, coursera, AI, artificial intelligence, job, internship, data, excel, sql, power bi, tableau ]

The Only Data Analyst Roadmap you will ever need . . . . #technology #trending #jobsearch #parttime #techconsulting #tech #hacks #behavioral #nodaysoff #veeconsistent #linkedin #emails #dataengineering #datanalyst

Comment „Sheets“ to get it, your data analyst is just a WhatsApp message away. Dealing with data in a spreadsheet can be a hassle, especially when you’re on the go and need an instant answer. This automation changes all of that by turning your Google Sheet into an on-demand analysis tool that lives right in your pocket. This is a personal data analyst you can talk to. Here’s how it works. You send a quick, natural language question to a WhatsApp number—for example, „What were our sales for June?“ An AI agent, powered by n8n’s no-code workflow, connects directly to your Google Sheet. It analyzes the data, finds the exact insight you asked for, and sends you a clear, instant response. No more opening spreadsheets, searching for the right column, or building complex formulas. Just effortless, on-demand insights at your fingertips. Imagine you’re in a client meeting and need a specific metric, or you’re a team lead wanting a quick summary of a project’s status. With this agent, the answer is just a text message away. What kind of insights would you want to get from your data? #n8n #aiautomation

🚀 60-Day Data Analyst Roadmap (Practical-First Approach) 🎯 Goal: 2–3 strong projects Portfolio + resume ready Actively applying with proof of work Phase 1: Foundation Through Practice (Day 1–15) 🔹 Focus: Learn by DOING (not watching) Daily Structure (2–3 hrs max): 30 min → Learn concept 1.5 hr → Practice 30 min → Mini task What to do: ✅ Excel (Days 1–5) Functions: VLOOKUP, INDEX-MATCH, IF, COUNTIF Pivot Tables Cleaning messy data 👉 Practice: Take any dataset → clean + create summary dashboard ✅ SQL (Days 6–10) SELECT, WHERE, GROUP BY JOINS (very important) Basic aggregations 👉 Practice: Solve 15–20 real queries daily Use platforms like: LeetCode (easy SQL) ✅ Mini Project 1 (Days 11–15) Dataset: Sales / E-commerce / Netflix 👉 Do: Clean data Analyze trends Write insights (THIS is key) 📌 Output: 1 clean project (Excel or SQL-based) Phase 2: Real Projects + Storytelling (Day 16–35) 🔥 Focus: Portfolio > Learning ✅ Project 2 (Days 16–25) — Python + EDA Use: Pandas + Matplotlib 👉 Steps: Data cleaning EDA (find patterns) Ask business questions: Why sales dropped? Which segment performs best? 📌 Output: Jupyter Notebook + insights ✅ Project 3 (Days 26–35) — Power BI / Dashboard Build 1 STRONG dashboard 👉 Include: KPIs Filters Business insights 📌 Important: Don’t just build charts. Tell a story. Phase 3: Proof of Work + Job Prep (Day 36–50) 🔥 Focus: Getting interview-ready ✅ Resume (Day 36–38) Add: Projects (impact-based) Tools Metrics 👉 Example: ❌ “Analyzed sales data” ✅ “Improved sales insights by identifying top 3 revenue drivers” ✅ Portfolio (Day 39–42) GitHub (projects uploaded) ✅ Daily Routine (Day 43–50) 10 SQL questions daily Revise projects Practice explaining your work 👉 MOST IMPORTANT: Be able to explain your project like a story Phase 4: Aggressive Applications (Day 51–60) 🔥 Focus: Getting calls ✅ Apply Daily (Non-negotiable) 20–30 applications/day Platforms: LinkedIn Naukri Company websites ✅ Cold Messaging (Daily) Message recruiters/employees: “Hi, I’ve built projects in SQL, Python & Power BI. I’d love to be considered for entry-level roles.” You don’t get hired by learning. You get hired by showing. #dataanalyst

If you’re learning data analytics…🤯✅🔥👇🏻 but don’t know where to find real datasets… this is where you level up. Most beginners only use Kaggle… but real growth starts when you explore: 👉 Google Dataset Search (real-world messy data) 👉 data.gov.in (India’s official data) 👉 GitHub datasets (project-ready data) And here’s the key: 👉 Don’t just download data 👉 Define a problem and solve it That’s what real analysts do. Save this — you’ll need it when building your next project. #DataAnalytics #DataAnalyst #LearnDataAnalytics #TechCareers #DataProjects