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hey I'm Kieran today I'm going to take you to roller coaster journey of data analytics these are the steps involved in data analytics let's understand all the steps one by one using example from travel industry first data collection Rahm here is planning to travel to Delhi for a vacation he opens a aviation web sites gives some basic details like destination date of travel number of seats then he checks all planned flights available and price of the tickets he selects the one in his budget makes payment confirm his booking and happily closes the app so this complete journey of Rama nap has generated many data points which are collected by travel company similar to Rama many customers logging in to that a Parkin tributing in generating lot of data this is where we have stored all the data in our servers in tabular formats since this data is being collected and stored in form of tables it becomes easier for analysts to exploit this data and find insights now shyam being analyst of the travel company will follow some steps to utilize this data this takes us to our second step data cleaning here we trick missing values or some unstructured data by replacing missing values with a number or deleting that row now our data is clean and can be used for analysis after this we come to our third step data manipulation here he manipulates the data to create required features and variables he thus creates a new column travels days that is after how many days will the passenger returned after this we come to our fourth step analyzing data hiren using logical methods and analytical technique he segmented customers into different groups then further applying some logics he segmented the potential customers so as to market them on different basis and also comparing the sales with last year so as to take future business decision on the basis of historical data next we have data visualization so as to present our data with insights after listing final outputs for given problem statements he will have to work on final presentation of complete analysis done by him for presenting it further so visualization is showing analyzed data in visual or graphical form for easy interpret as we can tell from here sales of the company is increasing since 2013 we are done with all steps now let's see how the presentation goes hello everyone this is my final analysis on the current problem well done you did great on your analysis as well as presentation this is the complete lifecycle of analytics starting with collecting data cleaning it manipulating it then analyzing and presenting it for solving the given problem statement wasn't this interesting way to understand the lifecycle of work done by a data analyst so if you want to learn more about each of these steps in detail in an interesting way then stay tuned for our upcoming videos thank you like share comment and follow our youtube channel data Wrangler for more videos