The FASTEST WAY to Become a DATA ANALYST with NO experience as presented in this video, is to enrol in the Google Data Analytics Certificate program offered by Coursera, if you have not done so already. Please subscribe and comment: I subscribed. I will personally try might best to reply to youAlso, please dont fail to hit the NOTIFICATION BELL to get notified whenever a new video is posted.The Google Data Analytics Professional Certificate by Coursera is advertised as a Go-To Certificate to get you, your dream job as a data analyst with NO experience or college degree! Enrol for free here http://www.bit.ly/CourseraAnalyticsWe highly appreciate your kind donation(s) in producing more videos here http://www.paypal.com/donate/?hosted_button_id=VHU2F8W5RQ6V2Do you know that there are lots of great reasons to earn this certificate, now? Maybe you're thinking about starting a career in the exciting world of data analytics, or maybe you're just fascinated by the power of data as I am. No matter what brought you here, you're in the right place to kick-start a career and learn industry-relevant skills in data science & analytics. But first, what exactly is data? Well, I'll like to say that data is a collection of facts. This collection can include numbers, pictures, videos, words, measurements, observations. Once you have data, analytics puts it to work through analysis.Core duties of a Data Analyst as promoted by the Google Data Analytics Certificate program:The analysts organized tasks and activities around the six phases of the data analysis process: 1. Ask2. Prepare3. Process4. Analyze5. Share6. ActThe data analyst asked questions to define both the issue to be solved and what would equal a successful result. Next, the business analyst or data analyst prepared by building a timeline and collecting data with for example, employee surveys that were designed to be inclusive. The data scientist or analyst processed the data by cleaning it to make sure it was complete, correct, relevant, and free of errors and outliers. The data analysts analyzed the clean employee survey data. Then the analysts or people analysts as they are sometime called shared their findings by means of clean data visualization and recommendations with team leaders or top management. Afterward, top management acted on the results and focused on improving key areas of the data analysisKey data analytics terms explained in brief:Analytical skills: Qualities and characteristics associated with using facts to solve problems Analytical thinking: The process of identifying and defining a problem, then solving it by using data in an organized, step-by-step mannerAttribute: A characteristic or quality of data used to label a column in a tableBusiness task: The question or problem data analysis resolves for a business Context: The condition in which something exists or happensData analysis: The collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision-makingData analyst: Someone who collects, transforms, and organizes data in order to draw conclusions, make predictions, and drive informed decision-makingData analytics: The science of dataData design: How information is organizedData-driven decision-making: Using facts to guide business strategyData ecosystem: The various elements that interact with one another in order to produce, manage, store, organize, analyze, and share dataData science: A field of study that uses raw data to create new ways of modeling and understanding the unknown Data strategy: The management of the people, processes, and tools used in data analysisData visualization: The graphical representation of dataDatabase: A collection of data stored in a computer systemDataset: A collection of data that can be manipulated or analyzed as one unit Fairness: A quality of data analysis that does not create or reinforce bias Formula: A set of instructions used to perform a calculation using the data in a spreadsheetFunction: A preset command that automatically performs a specified process or task using the data in a spreadsheetGap analysis: A method for examining and evaluating the current state of a process in order to identify opportunities for improvement in the futureObservation: The attributes that describe a piece of data contained in a row of a tableQuery: A request for data or information from a databaseQuery language: A computer programming language used to communicate with a databaseRoot cause: The reason why a problem occursStakeholders: People who invest time and resources into a project and are interested in its outcomeTechnical mindset: The ability to break things down into smaller steps or pieces and work with them in an orderly and logical wayThis certificate program is a great first step in your journey to finding a job you love.NOTE: Databit365 does not in anyway claim ownership of this video.