As a data analyst you will be analyzing lot of datasets. All datasets cannot generate equal impact and value. 

If analysis focuses on data and metrics that may not generate any business value then effort spent in analysis is a wasted investment. Data analyzed should establish a baseline, set a t...

W3Schools.com started tracking some statistics from 2002. 

• Browser popularity change as well as versions over a period of time
• Operating System popularity change

• Browser Display usage change
...

Data Quality is a challenge that needs to be owned by Data Professionals. Given the volume of growing data we deal with and complexity of data transformations we implement in our jobs, we always need options to reduce tedious effort in testing and ensuring data quality. 

• Data Validation needs to...

Data visualization techniques vary a lot based on types of target users who will be consuming data. 

Join this "Storytelling with Data" community and practice your skills in improving your ability to use data to tell stories. This community is setup on following principles

• Practice in a...

Recommended Article for data analysts learning Python and SQL

Full article written by Sanjana is posted here 

A data analyst or data scientist get lots of opportunity to work on Python and SQL. Python with its enormous library support provides data analyst with a magic wand to mani...