#Data Analysis Techniques

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#Data Analysis Techniques 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
#Data Analysis Techniques Reel by @jessramosdata (verified account) - Comment "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, Ir
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@jessramosdata
Comment “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!
#Data Analysis Techniques Reel by @fitwit_krish (verified account) - Ep44- Stop learning everything!! Are you learning everything in data analytics?? that'sthe biggest mistake and the reason people stay stuck with out
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@fitwit_krish
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
#Data Analysis Techniques Reel by @phdwithanjali - Stop suffering in silence. These tools will level up your analysis game! Which one's your fav? Comment down👇🏻 #dataanalysis #phdlife #statsmadeeasy
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@phdwithanjali
Stop suffering in silence. These tools will level up your analysis game! Which one’s your fav? Comment down👇🏻 #dataanalysis #phdlife #statsmadeeasy #dataanalysis #rstats #prism #researchtools #scientificreels #academiaa #phd #phdwithanjali #juliusai @try_julius.ai
#Data Analysis Techniques 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]
#Data Analysis Techniques Reel by @phoebeslifeindata - watch this if you want to become a data analyst in 2026, these are my top simple tips 📊 1. Learn SQL: its the tool you'll use to get data from datab
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@phoebeslifeindata
watch this if you want to become a data analyst in 2026, these are my top simple tips 📊 1. Learn SQL: its the tool you’ll use to get data from databases, and then use to analyse business performance 2. Learn Excel or something similar: it’s great for ad hoc analysis and building engaging charts and diagrams 3. Get familiar with a reporting tool, you don’t need to be great at this just an understanding is fine 4. The core skills are communicating your insights clearly and understanding business metrics Save this and come back to it when you’re planning what to learn, I have links on my profile for courses/guides for each of these aspects!
#Data Analysis Techniques 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
#Data Analysis Techniques Reel by @onseventhsky (verified account) - Here is your guide to data analysis 🧐 . . . . . . [data analytics, corporate, education, job switch]
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@onseventhsky
Here is your guide to data analysis 🧐 . . . . . . [data analytics, corporate, education, job switch]
#Data Analysis Techniques 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
#Data Analysis Techniques Reel by @marytheanalyst - I won't be mad if you copy this entire roadmap… #dataanalyst #dataanalysis #dataanalytics #data #analyst #techjobs #breakintotech #wfh #workfromhome
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@marytheanalyst
I 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
#Data Analysis Techniques Reel by @onestopdata (verified account) - Although each day in the life of a data analyst is different, here are 5 key responsibilities that a data analyst has: Follow @onestopdata for data r
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@onestopdata
Although each day in the life of a data analyst is different, here are 5 key responsibilities that a data analyst has: Follow @onestopdata for data related content! Check the link in bio for details on my webinars and courses! (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 #data #dataanalytics #datacareer #datajobs #datascience #onestopdata #datavisualizatio#reels #reelitfeelit #trending #explore #careerindata #reelkarofeelkaro #datacleaning #dataprocessing #datagathering #dashboard #reports #collaboration #sql #powerbi #excel #python

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