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JDS ACADEMY
timing: March 2020 - June 2020
website: https://data36.com/
useful: Yes! Worth to complete.
pay-service: yes
Linux based webserver (in the cloud, Linode.com) was used to store (SQL server),
prepare (ETL processes in bash and Python), analyze (SQL, Python, Google Data
Studio, Tableau) data to derive conclusions and to create plots and figures to be
involved in presentation files discussed with the tutor of the 6+6 weeks Real
life data based DataScience online (video) course. (see details or join the
course @ https://data36.com/).
This was a quite robust and well organized course including a large number of lessons, with several
datasets to analyze from different aspects. It keeps you every day
buzy and excited, which is a benefit that you do not have time to forget what you have just
learnt.
Here are the major tools used while the datasets were prepared, analyzed and
then discussed:
Large datasets (10000+ data rows in several subsets) were used to make User statistics (e.g. churn) and business analysis (costs, income, cashflow, funnel analysis) of a webpage, or an online app. Some of the results of my work can be checked as a presentation file (Google slides, shared).
See further details in the file. If you are still missing something, please get in contact with me or with the tutor! I highly recommend him and his course (without any benefit for me).
