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A past coaching client of mine interviewed for an entry-level Data Science job in Los Angeles that paid $110k per year.
Here's the 19 interview questions they were asked:
(how many of these could you answer?)
The bulk of DMs that I have been getting of recent have been centered around “how can I start DATA ANALYSIS AS A BEGINNER”… well this thread is full of information and will definitely help you to start.
So do me a favor, RT aggressively, like and follow
It’s a THREAD 🧵
#Qualitative Data Analysis: 16 Articles on Process & Method - The 16 articles in this compilation are narrowly focused on issues relevant to applying a quality approach to the analytical process bit.ly/2zius3I
🚀If you are an Aspiring Data Analyst, Read this👇. Let's discuss on these two Data Visualisation tools✅
🔍 Power BI vs. Tableau: Unleashing the Power of Data Visualization! 📊💡
Open this thread 👇
1/ 📊📈 Let's dive into the fascinating world of #statistics and explore two key concepts: Odds Ratio and Relative Risk! Understanding the differences and applications of these two measures is crucial for interpreting study results and making informed decisions. #DataScience
{rhino} gives you the core of your #RShiny application.
#Rhinoverse gives you a variety of features that can enrich it 🧙♂️🎉
Want to learn more?
Check out rhinoverse.dev#RStats
Data analysis relies on understanding the variables in your dataset. Check out my latest blog post, where I share how to generate a comprehensive summary of variables in R for effective exploratory data analysis. #RStats#EDA
Link shorturl.at/CHR79
Image: Summary output
I've compiled a list of datasets for practice with Excel, SQL, Power BI, Tableau, Python, R and general Data Wrangling.
I've separated them into categories like Health, Sports, Movies etc.
Check thread, bookmark for future use as I'd be updating regularly
Kindly like & retweet
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