Data Analytics

  What is Python and why it is used? Python is a computer programming language often used to build websites and software, automate tasks, and conduct data analysis. Python is a general-purpose language, meaning it can be used to create a variety of different programs and isn't specialized for any specific problems. Python is an interpreted, interactive, object-oriented programming language. It incorporates modules, exceptions, dynamic typing, very high level dynamic data types, and classes.  It supports multiple programming paradigms beyond object-oriented programming, such as procedural and functional programming. Why Python is best for data analysis? Python is one of the top most languages. It is used primarily for performing data analysis. One of the main factors why it is used for the analysis of data is because of the superb Python ecosystem. There are tons of data-centric Python packages which make the process of data analysis a lot quick and convenient. F...

 Now a days, people and things are getting interconnected. Data is being created by devices and users. Let's have a example When you go for online shopping all your clicks and views, you interaction with the website, your interaction with the competitor website, your addition to the cart, removal from the cart, price comparision, review reading, etc. All recorded to analyse you as a user and a perspective buyer who could be influenced to make a purchase. The entire agenda of conducting data analytics is based on making informed decision that can be further use to shape your behavior and drive the business intensions. Have you heard about company cambridge Analytica? It was a political consulting firm that harvested data about 87million US voters during Trupm's precidency campaign in 2014. It built a system that could profile individual US voters in order to target them with personalised political advertisements. The result everyone knows. Data analytics combined with the right ...

 Data analyst roadmap Topics to study 1. Microso0ft Excel/ Google sheets  2. Tools – Power BI or Tableau  3. Languages- Python or R  4. SQL – RDBMS  5. Projects –Portfolio, job portals.  Study syllabus i. Excel- excel-practice-online.com       YouTube and other of your choice.            Learn- filtering data Identify and remove duplicates            Use formula and functions           Vlookup = When you need to find information in a large spreadsheet, or you are always looking                for the same kind of information, use the VLOOKUP function.            Pivot table and transpose.  ii. Power BI- Datacamp free courses                     Microsoft data analyst associate certification ...

Data analysis is the proccess of converting raw data into a useful information and visualize it. Data analytics is important for removing noise/errors from the data that we are going to use.Now a days data analytics is one of the most important thing to be done before storing or accessing any data. As we know every device stores some data. Devices we use in our daily life are much important in this century. Therefore we need to analyse data stored by devices to aquire lesser memory by having only required data.  A simple example of Data analysis is whenever we take any decision in our day-to-day life is by thinking about what happened last time or what will happen by choosing that particular decision.   Data analysis is about making decisions in future by predicting previous outputs of analytics. example: you predict average of your vehicle whenever you go to some tours. You do prediction on previous calculations like to travel 50km how litrs of fuel your vehicle comsumed?...