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Here is complete description of job roles in data science analytics industry with job skills, talent, roles & responsibility, salary globally
Here are useful life lessons to make a successful career as a data scientist. These data science tips include technical and non-technical aspects
This cheat sheet highlights the list of data exploration steps in R. Data Exploration is useful to extract hidden insights and trends in data
Here's an infographic which displays most commonly used tools for data visualization by data scientists and data analysts for all sort of uses
Cheat sheet for creating data visualizations in R - Histogram, Bar Chart, Line chart, box plot, scatter plot, mosaic plot, heat map, correlogram
Here is the complete list of useful libraries in R to perform data analysis. ggplot2, swirl, shiny, rcmdr, randomforest, survival is listed
Data Science Competitions such as Kaggle competitions are illustrated with their difficulty level. Here are some useful tips to win them.
This infographic is a quick guide to learn cloud computing in r programming using aws server, other services. Benefits & future of cloud computing and best services
Infographic on steps involved in cleaning text data in python using a twitter case study. Once the data is cleaned, you can do text mining.
Here is the infographic showing must read data science books in analytics, web analytics, data visualization books for all analytics readers and learners.
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