How to Become a Data Analyst? | Data Analyst Skills | Data Analyst Training | Edureka

analyst and I'm sure this question might be bugging a fear of you out there so without any further ado let's have a look at the agenda of this session so outside of this video with a brief on who exactly a data analyst is what does a data analyst do and moving forward I'll guide you through the part one should take to become a successful data analyst then we'll have a look at the various roles and responsibilities of a data analyst and the various skills one needs to have to become a successful data analyst and finally I'll end this video with the salary trends and the companies hiring for the data analyst so let's get started now data is increasingly shaping the systems that we interact with every day whether you are searching something on Google using Siri or browsing your facebook feed you are consuming the results of data analysis and considering there are more than three billion people who are using the internet a quantity that has tripled in the last 12 years and 4.3 billion cell phone users that's a heck of a lot of data given its transformational ability it's no wonder that so many data related rules have been created in the past few years so today our focus will be one of the most important roles and that role is of the data analyst so before understanding what are the rules and responsibilities of a data analyst and part one needs to take to become one let's understand who exactly a data analyst is so a data analyst takes data and uses it to help companies make better business decisions a data analysts deliver value to the company by taking information about specific topics and then interprets and analyzes and presents the finding in comprehensive reports many different types of businesses use data analysts to help as experts data analysts are often called on to use the skills and tools to provide competitive analysts and identify trends within the industries now what does a detail is to data analyst translate numbers trends and trajectories into digestible and accessible information a data analyst job is to take the data collected and analyze the data and use it to help the companies make better business decisions the data analysts are responsible for collecting manipulating and analyzing the data and they use systematic techniques standard formulas and methods to analyze the relevant information then they typically prepare reports detailing the results for their analysis often the main goal of a data analyst is to solve the issues that cost the company money and to help make decisions for expanding the business now that we have understood who audit analyst is and what does retail analyst - let's have a look at the path one should take to become a data analyst especially if you are a beginner or you are doing a bachelor degree so first of all the first step to become a data analyst is to earn a bachelor's degree most candidates for entry-level jobs will need a bachelor's degree in math statistics computer science information technology finance or economics all of these subjects place a heavy emphasis on statistical and analytical skills now after you have earned your bachelor's degree it's time to tune up your technical skills so these technical skills are statistical methods and packages having control over R or Python or any of the SS languages knowing data warehousing and business intelligence data cleaning visualization and reporting techniques place a lot of importance in the data analyst job so it might help to gain a better job if you know about all of these and you also need to have a knowledge of Hadoop and MapReduce as they play a major part in the Big Data ecosystem and of course machine learning techniques are very important and after the fine tuning of the technical skills it's time to develop the business skills as well so as you can see here we have analytical problem-solving which implies the employing best practices to analyze large amounts of data while maintaining intense attention to detail we have effective communication in which using reports and presentation we need to explain complex technical ideas and methods to an audience of lemon no creative thinking is a very important part of the business skills it involves questioning established business practices and brainstorming new approaches to data analysis and that is how you get new insights from data which are been stagnant and they are still there with us and then we have the industry knowledge in which we have understanding what drives your chosen industry and how data can contribute to the success of a company or in an organization's strategy now once we have developed these business skills consider going for a master's degree or any analytical certifications online or offline any advanced degree will offer more job opportunity and B's to advance your career employers want candidates to have an array of knowledge and be familiar with latest technologies and tools so consider a master's degree in data science data analytics or big data management now these programs will generally provide exposure to the newest software programs from experts and fields many university partner with the cooperations to create team assignments internship and capstone projects which will gain individual which will help you to gain invaluable real-world experience while earning an advanced degree and that's it after completing all of these steps or following this path it's more likely that you'll become a successful data analyst now let's head over to the roles and responsibilities of a data analyst now depending upon the level of expertise data analyst map may work with the IT teams the management all the data scientists to determine organizational course they can mine data from primary and secondary sources they need to clean and the prune and prune data to discard irrelevant information they also need to analyze and interpret results using standard statistical tools and techniques most of which involves majorly our Python we have tableau or SAS they also need to pinpoint trends correlation and patterns in complicated data sets as it plays a huge role in the data analyst job description they also need to identify new opportunities for process improvement provide concise data reports and clear data visualization for the management a part of their role also involves designing creating and maintaining relational databases and data systems and finally triad quotes problems and data related issues now like business analyst data analysts often possess shops technical skills complemented by strong industrial knowledge they have a complete understanding of relationships that exist among the organization's various databases and data sources the operating information using complex query statements and advanced database tools and techniques so here are some of the skills that are required for data analyst jobs we have analytical skills communication skills critical thinking attention to detail we have mathematical skills and finally we have the technical skills and the tools so let's get to get into the details of these skills starting with the analytical skills data analysts work with large amounts of data including facts figures and number analysis they need to see through the data and analyze it to find the conclusion now coming to the communication skills they present their findings and translate the data into understandable documents or reports they also need to write and speak clearly and be able to communicate complex ideas into easily understood terms now critical thing is is also an important skill as data analysts must look at the numbers trends and data in order to formulate the conclusion attention to detail also plays a very important part as data is precise data analysts have to make sure they are attentive in the analysis to come to the correct conclusion as even a slight error or a slight shift in the reports might lead to the business having a downfall now as I mentioned earlier mathematical skills are a very important part you need to have a bachelor's degree or a master's degree in which you have certain mathematics involved so that a data analyst require math skills to process the numerical data and also all of the statistics that is involved in the analysis part and finally we have the technical skills and tools so there are many technical skills and computer programs that a data analyst must have in order to be proficient so other skills include sequel XML we have JavaScript your languages like our Python and then we have SES and Hadoop now if we have a look at the salary trends of data analysts so according to class two the average salary of data analyst is eighty-three thousand dollars per year that's a lot of savvy for a data analyst with a minimum being of fifty four thousand dollars and a maximum being a hundred and seven thousand dollars and if you are going for a senior data analyst position the average salary is even more it's one hundred and six thousand dollar per year with a minimum of seventy one thousand dollars and a maximum of one hundred and thirty five thousand dollars now the demand for data analysts are everywhere in the industry with the increase in amount of data being generated every second and the information businesses can gain from that data here are some of the companies from a pool of hundreds who are always looking for data analysts to help the business expand and create profits so as you can see we have Dropbox Adobe IBM LinkedIn we have Red Hat uber wall mat and cheese so as you can see here we have companies from all the different domains so guys now I'm going to show you the data analyst master program here we have at a Drakkar so as you can see here this data analytic master program consists of 11 courses it has a flexible schedule and as you can see here our master course alum and I work at all of these companies these repeted companies all you need to do is click on the enroll now button and then you just need to select your particular batch so out of the 11 courses these are the top four courses and rest are the self-paced courses so first of all we have the statistical essentials in which we are going to deal about the probability the bias interference regression models and statistics then comes the data analytics with R in which we will learn about solve the data manipulation exploratory analysis we have data cleaning data mining data visualization regressions and also we learn about sentimental analysis in SS training we'll learn about the advanced statistical techniques as we have learned about statistics essentials already so we'll go into SS macros will go into SS ODS and we'll do all we'll perform all the advanced SS procedures and after that we'll go for the visualization aspect of a data analyst job which is the tableau training we'll learn about the LOD expressions we have the tableau desktop tablet Pollak data visualization and finally we have the integration with our now that's not it we have a set of six or I should say I think we have a set of seven self-paced courses we have QlikView certification training we have advanced Emin ms excel we have our programming certification training analytics for retail banks recently modeling using our we have machine learning with my halt and finally we have advanced rating modeling in our certification training now these are seven self-paced courses you can take up at any time but these are the top four courses which you really need to focus on so as to get it will help you to land a good job as a data analyst anyway so it's it will probably take you around 15 weeks to get acquainted with all these four courses and finally you'll be able to land a good and successful job as a data analyst so guys with this we come to an end of this session and I hope you understood the different aspects of data analyst who exactly a data analyst is what are the various roles and responsibilities of a data analyst the salary trends and most importantly the the path one needs to take to become a successful data analyst especially if you are a fresher or you're in college and you're really looking for a clear path as to understand how to start your career as an India analyst aspect because you know if you want to become a data scientist it's important that you become a data analyst first as as in many companies data analysts are often referred to as junior data scientists so if your dream is to become a data scientist you first need to become a data analyst that's for sure so guys I hope this session helped you gain knowledge about the eight analysts the various salaries asking as you can see the salary trends the salary is a lot for data analysts and that's it guys I'll be staying up for quite a few minutes to take up your queries so if you have any questions just let me know in the comment section below and I'll get back to you as quickly as possible thank you you so Suraj asked the question without Bachelor degree is there any way to become a data analyst so for that I must say that you you need to have a degree which is equivalent to a bachelor's degree so anything related to statistics computer science finance it can be computer science or even information technology anything which has the same level of knowledge you need to you need to pass you need to pass the bachelor degree a same level of knowledge is required so you need to go for a certain level of certification there Prez nah I have done my ambient finance is data analyst carry a good for me so pressure I would say that if you have done your MBA in finance okay so it depends upon your background in the BTech aspect or the previous bachelor's degree you have done as well because if if you if we have a certain knowledge of programming that will help you a lot to land a job for date analyst and as I showed you just now that the salary hike for latest is so much and as you can see the salary trends if you compare it with the salutant of 2018 there has been a 25% increase in the salary so I I would say that it's a great line of work and if you are looking for a job as a data scientist or a data engineer I would say data analyst job is also good for the fish a deal you can refer to the data analyst master program website the link to which I'll share it on the comment section you so the d-class question is what is the price of this in arica so let me just show you so uh it's thousand dollars but in Indian rupees if you check it is 69 thousand rupees and you can also pay through EMI simple EMI at eleven thousand and sixty six hundred and seven as you can see the original price of the course is one lakh in 34,000 and we have a discount of 54,000 that's a huge discount you are getting here right now that's a limited time offer so guys I would suggest you go for this course the master program course which is offered by a director you so Ravi asked this question what are the prerequisites required knowledge for the data analysts choosing as a courier so Ravi I would say that most probably having knowledge of mathematics statistics and even a slight bit of knowledge of computer science and by computer science I mean the coding aspect of it because data analysts need to perform certain coatings in our or Pythian environment and since tableau offers a lot of option to skip that coding aspect but there are certain cases where you need to have those required skills which are like you need to have a basic knowledge of how programming works you now freshness question is which language should I learn forced to start to become a data analyst now this is a very tricky question as it comes down to personal preference whether you're going for R or pison but C Python has a slight edge over R when it comes to choosing the different libraries because python has a lot and by lot I mean it has a lot of libraries so for that you can use Python but honestly it comes down to your own preference which wherever you find it easy to work with because in our you have a lot of visualization which can be done very easily but the same can be achieved through Python also so ultimately it's your choice you now an important question here from because is that how kind of fresh graduate or refresher become a data scientist so soil to break you this but you cannot just become a data scientist because data scientists always need to have certain bit of experience you can as officially you cannot apply for a data scientist role anywhere as you might have searched anywhere on LinkedIn or any of the pay scale or indeed you might have found out that they require a minimum of three to five years of experience in that particular field so it's probably best if you if we have a certain level of experience I would say two to three years start from the data analyst aspect and just move ad with a carrier and you'll you'll land a job as a data scientist most probably if you are keen to work in that area that's it Lillith you can refer to our top ten algorithms for machine learning video it's quite a popular one and I'll leave the link to that video in the description just for you you Donna's question is I am interested in the master data program how long can one take to complete the course considering that I have other work to do and I have bachelor's degree in ICT so Donald I would say that it will take you around 15 weeks as I mentioned earlier because the classes are scheduled in such a way that it does not affect your personal work the classes are scheduled mostly on the weekends and it's a pretty I would say it's flexible timing so see you have four courses that are on live basis which are being held on the weekends or weekly basis it's up to you it's going to your preference and as far as the rest seven courses go that are all self-paced you can watch at any time so watch it or going to your preference and I would say it would take you minimum at least 15 weeks to get acquainted with the data analytics master program you now because there's a very good question here what is the difference between data scientists and the data analyst so for that I would say data analyst as I mentioned earlier um sometimes also referred to as jr. data scientists and that is because data analysts you can easily land a job as a data analyst as a fresher because it does not require a lot of experience because you are not taking the lot of decisions for the company as those decisions have been taken by the data scientists as well so I would say data scientists often they they work in the deep learning aspect as well so that is not the part of all the job description of a data analyst they work for various machine learning artificial intelligence algorithms as well the main focus is on the business growth aspect not from the visualization or the report creating part here's some of the difference for other differences you can refer to our blocks which we have on data analyst versus data scientist I'll leave the link in the description for you now Samir has a question the Amman electronics and communication engineering to become a data scientist am 30 now so Sammy anytime shifting to a data scientist is always a good option especially if you have a I'm sure electronics and communication has a certain bit of coding experience you might have got during your bachelor's degree and and you can use that prior knowledge and you can start with it any day and as far as the age goes if you're thirty it doesn't matter you're thirty or forty you can shift to any of the you can shift anytime to this profession I would say you so guys this is it for today's session thank you for being with me for such a long time and I hope you enjoyed this session thank you you

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Keywords: yt:cc=on, data analytics, jobs, career, data analytics careers, edureka, data analyst skills, data analyst jobs, data analyst salary, data analysis, data analyst, data analysis tutorial, data analytics tutorial, data analytics introduction, data analytics basics, data analytics course, data analytics certification, data analytics training, salary trends, edureka live, what does a data analyst do, who is a data analyst, roles and responsibilities

Id: IOzMI6uj0Kk

Length: 31min 10sec (1870 seconds)

Published: Thu Nov 22 2018