Data Analyst Vs Business Analyst Vs Data Engineer Vs BI Specialist

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  Data Science - Complete Track • Step 1 - Identify the business problem/value addition/question – ( Data Insights ) this has to be the starting point. • Step 2 - Data availability ( Data Governance ) - Have the structure of your data set defined – The real challenge starts here-                o Do we have the data?                o Do we have access to the required data? • Step 3 -Getting Data ( Data Mining / Data Pipeline ) – How to collect the data from different sources in the system • Step 4 - Data preparation (ETL / ELT) – Once you have data there will be lot of cleaning and preparation required, reduce/increase/combine/split the predictors, determine and eliminate outliers, populate missing values convert few categorical variables into numerical etc. • Step 5 –Exploratory Data Analysis (EDA) – In this step we do descriptive and diagnostic analysis of the existing data. We build multiple graphs that give us direction towards the next steps of predictive analytics. We migh
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Wireshark and its Filters

 


Powerful Wireshark Filters

ip.addr == x.x.x.x

ip.src == x.x.x.x

ip.dst == x.x.x.x

ip.addr == x.x.x.x && ip.addr == x.x.x.x 

ip.src == xxxx && ip.dst == xxxx

http or dns

tcp.port==xxx

udp.port==xxx

tcp.srcport==80 && tcp.dstport==80

tcp contains xxx

e.g.   tcp contains google

http.request

tcp.port eq 25 or icmp


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