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I am an Ex-BCG consultant with with more than 8 years of experience into BI & advance analytics for large enterprises.

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Chart Usage Guide

A guide on different chart types usage, and best practices. Improve your data visualization by applying these guidelines.

Read The Guide

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@DoingData

Career Tip : If you’re into data visualisation, it is far important to have a good portfolio than to hold many certifications. 📈 The dashboard in the screen is something I built in May 2017 under #MakeoverMonday project. . . . . . #DataViz #Ta
Time to study Tufte 📈📖 If you’re into data visualisation and haven’t studied Tufte, you must do it now. He has published a number of essays on edwardtufte.com to get started with. He is inventor of many great ideas in data visualisatio
📈 meets 🤖 It is absolutely possible, and also recommended to connect your BI tools with data science platforms and see what innovations you might come up with. . . . . . . #Analytics #Data #MachineLearning #ML #DataScience #BigData #SQL #BusinessIn
Visual Vocabulary by @financialtimes is the single most used and recommended data visualisation reference by me. 📈 I first came across this guide some 3 years back and have been using frequently ever since in almost all of my #DataViz work If you
Dashboard Tip: Wireframe fast, iterate faster. It will save you a lot of time, cost and frustration 😄📈 . . . . . #DataViz #Analytics #Dashboard #UIDesign #DataAnalyst #Data #UI #ML #DataAnalyst #DataScience #DataScientist #BusinessAnalytics #SQL #U
Chart Usage Guide Series. Episode # 04 Today's episode is about using heatmaps in data visualization 📈 (Sorry to those who voted for Radar, that is next 🕸️) Questions, ideas, use cases, talk? Comment below :) Enjoy learning 🍃 . . . . . . . #Data #
Thank you all for making it to 10,000 🖤 Started back in 2016, we have come a long way. I am committed to making content that is useful for analytics aspirants from all over the world. I thank once again for trusting and supporting my work. Wish you
I’m beginning to like @_snowflake_inc Slowly but steadily 📈 Demand for DW in the cloud is going to be there 📈 Features I like so far the most are sharing security 🔐, scale out on and scale up 🌐🎛 on the fly, and time-travel ⏰ . . . . . #Cl

Become A Data Analyst

Becoming a Data Analyst is an interesting and challenging career choice. It is an intersection of many fields like technology, business, design, communication, mathematics and creativity.

 
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Data Analysis for Non Coders

Follow this plan and become a self-service data analyst using modern tools.

 

4 Pillars to Build Skills of A Data Analyst

Think Like An Analyst

When you think like an 🕵️‍♂️ analyst, those abstract numbers start talking to you. It makes journey of your analysis from what to why easier.

 

Visualize Like A Designer

Make it beautiful & functional. Make it a breeze 🙂 for your user to use consume the analysis or navigate the dashboard.

Build Like A Developer

Ship a dashboard that is engineered well. It takes a real developer 👨‍💻 to build a product that stands test of continuously changing data.

 

Communicate Like A Storyteller

The information should tell a story, provoke your user to take a necessary action 💡 and should hit where it needs to.