#Mis In Data Analytics

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#Mis In Data Analytics Reel by @abhijeetjitechnical4m - Data Analyst & MIS Executive User Work For Automation #misexecutivework #dataanalystwork #mis #dataamalyst
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@abhijeetjitechnical4m
Data Analyst & MIS Executive User Work For Automation #misexecutivework #dataanalystwork #mis #dataamalyst
#Mis In Data Analytics Reel by @sundaskhalidd (verified account) - Repost to share with friends ♻️ Here's how to become a data analyst in 2026 and beyond? 📈 The original video was 5 minutes long and I had to cut it d
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@sundaskhalidd
Repost to share with friends ♻️ Here’s how to become a data analyst in 2026 and beyond? 📈 The original video was 5 minutes long and I had to cut it down to 3 minutes because instagram. One part that got cut off was the job market. Should I post a part 2? what are other skills that would you add to the list?? #dataanalysis #dataanalyst #sql #python
#Mis In Data Analytics Reel by @aanooook - Here's thing i wish i knew before becoming a data analyst 📊 1. SQL is your best friend - it gets you through 80% of the work. 2. Excel isn't basic -
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@aanooook
Here’s thing i wish i knew before becoming a data analyst 📊 1. SQL is your best friend — it gets you through 80% of the work. 2. Excel isn’t basic — pivot tables & formulas are used daily. 3. Visualization tools (Tableau/Power BI) make you stand out. 4. Communication > technical sometimes — if you can’t explain insights, they don’t matter. 5. You don’t need 100 certifications — projects & practice speak louder. 6. Most of your time is data cleaning — not fancy dashboards. 7. Business understanding is key — knowing why the data matters is more valuable than just coding. 8. Networking gets you jobs faster than applications — LinkedIn visibility + projects > sending 500 resumes [data analytics,data analyst, corporate, data]
#Mis In Data Analytics Reel by @sop_edits_overseas (verified account) - 🎯 Data Science vs Data Analytics - What's the Difference & Which One's for YOU? Both are booming fields. Both are in-demand. But they're NOT the sam
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@sop_edits_overseas
🎯 Data Science vs Data Analytics — What’s the Difference & Which One’s for YOU? Both are booming fields. Both are in-demand. But they’re NOT the same! In this reel, we break down the core differences between Data Science and Data Analytics so you can pick the right path and future-proof your career. 💻📉🔍 🚀 Covered in the reel: 📌 What each role actually does 📌 Tools & skills you need to learn (Python, SQL, Tableau, ML, etc.) 📌 Career paths & job roles 📌 Average salaries & global demand 📌 Which one is better for freshers? 💡 Data Analysts focus more on interpreting existing data to make decisions. 💡 Data Scientists build models, predict outcomes, and work with deeper algorithms & machine learning. 🎓 Want to learn which course fits you or apply abroad for Data programs? we’ll guide you with personalized career advice + best universities in India & abroad! #DataScienceVsDataAnalytics #DataScience #DataAnalytics #BigData #MachineLearning #StudyAbroad2025 #CareerInData #SOPeditsOverseas #TechCareers #AnalyticsVsScience #StudyDataScience #DataCareer2025 #IndianStudentsAbroad #AbroadStudies
#Mis In Data Analytics Reel by @onestopdata - My story from Non-IT to data analytics😍 Yes Data analytics can pay a lot of money! Read below- And yes! All this is base salary- bonus was extra✅ Jo
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@onestopdata
My story from Non-IT to data analytics😍 Yes Data analytics can pay a lot of money! Read below- And yes! All this is base salary- bonus was extra✅ Join my broadcast channel if you want further details! I started working in a non-tech role after college with a package of 10 lacs. After 1 year decided to transition into data analytics and got a salary of 12 lacs per annum. Then got promoted multiple times- to a senior data analyst, data analytics manager and hence increased my salary from 16 Lacs to 30 Lacs per annum! So yes: ✅ You can transition from Non-IT to data analytics ✅ Data Analytics can pay a lot of money if you are good at it! Do you have questions? Put them in comments! Here are some courses I recommend that can help you get started in the field! All links are in my bio! 1️⃣Google Data Analytics Certification 2️⃣Meta Data Analyst 3️⃣Microsoft PowerBI Data Analyst Added this Link in Broadcast channel for these✅ [salary, onestopdata, job, internship, dataanalytics, datascience, google, meta , microsoft , nontech, coursera]
#Mis In Data Analytics Reel by @askdatadawn (verified account) - FREE Data Analytics learning resources. Seriously, start here before paying for any courses. These are FREE & a great introduction for any skill you
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@askdatadawn
FREE Data Analytics learning resources. Seriously, start here before paying for any courses. These are FREE & a great introduction for any skill you want to learn. - SQL: https://www.youtube.com/watch?v=7S_tz1z_5bA - Excel: https://www.youtube.com/watch?v=pCJ15nGFgVg - Tableau: https://www.youtube.com/watch?v=aHaOIvR00So - Python: https://www.youtube.com/watch?v=LHBE6Q9XlzI #dataanalytics #dataanalyst #datascience #womenintech #aiengineering #techcareers
#Mis In Data Analytics Reel by @charlottechaze_ - People think data analytics = intense coding. It's really not. Anyone can learn it, and you lose nothing by trying! Most people feel empowered and ins
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@charlottechaze_
People think data analytics = intense coding. It’s really not. Anyone can learn it, and you lose nothing by trying! Most people feel empowered and inspired after running their first line of code within 20 minutes. It’s a powerful feeling. #dataanalytics #careerchange #techtransition #breakintotech #quityourjob #startyourcareer #jobsearch #linkedintips #highincomeskills
#Mis In Data Analytics Reel by @onestopdata - You cannot become a data analyst if you can't do these things (shared the tools I use in the end)🔥🔥 Follow @onestopdata for data related content!
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@onestopdata
You cannot become a data analyst if you can’t do these things (shared the tools I use in the end)🔥🔥 Follow @onestopdata for data related content! ✅The most imp thing data analysts do is to understand the business requirements. (1) Gathering Data This means collecting data from different sources. Many a times this is done in collaboration with data engineers and architects hence usually the data analyst doesn’t have to do a lot in this. (2) Cleaning Data Going through the data and trying to understand it, making corrections where needed such as removing outliers or data that should not be included in the analysis. This step can take a lot of time, but understanding the data is crucial before you start to process it. (3) Processing data The data processing part of the process is where I use my skills and tools to analyze the work and come up with solutions for the problem at hand. (4) Creating reports for business leaders As an analyst, a lot of my time goes into creating and maintaining reports/dashboards for stakeholders and business leaders. This means showing the metrics and KPIs in the best manner possible to help drive business decisions. The best analysts are those that can use data to tell a story. (5) Collaborating with people This one is my favorite! As a data analyst, you work with many people across departments, both senior and junior. You’ll also likely collaborate closely with other people who work in data science like data architects and database developers. Tools I use: Excel,PowerBI,SQL and Python(sometimes) #dataanalytics #onestopdata #datacleaning #dataprocessing #dashboard #reports #sql #powerbi #excel #python
#Mis In Data Analytics Reel by @onseventhsky (verified account) - Data Analytics Road map (6-9 months) https://drive.google.com/drive/folders/17KOCp6F1JGqOCwIdryzcDykNCSu93Ltc?usp=sharing Built from my personal int
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@onseventhsky
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
#Mis In Data Analytics Reel by @analyticswith_sundeep - 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
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@analyticswith_sundeep
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
#Mis In Data Analytics Reel by @lillian__chiu (verified account) - how I analyze data as a Business Analyst at Spotify! Spotify商業分析師如何分析數據？ ft. @tableausoftware #womenintech #businessanalyst #dataanalyst #gendata
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@lillian__chiu
how I analyze data as a Business Analyst at Spotify! Spotify商業分析師如何分析數據？ ft. @tableausoftware #womenintech #businessanalyst #dataanalyst #gendata #datafam #spotify

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