Me Buy A Franchise But Ive Never Owned A Business! - Work It Daily

Me Buy A Franchise But I've Never Owned A Business! - Work It Daily It happens often. Many case they need to possess their own business, yet few really seek after it. One reason they give is that they have never possessed a business. By what method will I comprehend what I'll have to do? they inquire. I'm a decent director. However, in what capacity will I realize how to do different things associated with possessing a business? That catches the motivation to put resources into an establishment. With an establishment, the establishment organization will furnish you with preparing in the entirety of the abilities you'll require. They will help and bolster you after you begin. Nobody has aced the entirety of the abilities expected to begin, develop, and maintain a business effectively. With an establishment, you don't need to know it all before you start. Most surprisingly who start an establishment have no involvement with that territory. Be that as it may, with the preparation and bolster they get, most form beneficial, dependable organizations. These establishments perform better than even settled autonomous contenders. Establishments have a lot more noteworthy incomes and benefits than free organizations. How would they do this? It is on the grounds that the establishment organization prepares and underpins the proprietors. In many establishments organizations, you get support over every basic region of the business. Innovation, staffing, deals, HR, promoting â€" the establishment organization has staff who are learned and experienced in all regions. No, you won't abruptly become a specialist in these regions. However, you will have the option to proceed as though you are truly proficient in light of the fact that you will approach the franchisor's staff. This staff will direct you at all times, you begin and a while later. It is safe to say that you are worried that you don't have an expansive enough scope of aptitudes to guarantee your prosperity as an entrepreneur? That is an undeniable concern. It's extremely hard to be an ace all things considered. By getting into business with an establishment, you don't should be the ace of the entirety of the required aptitudes. The franchisor will be there to help, train, and offer help to you at all times. Pursue This Webinar! On the off chance that you are baffled with corporate America and have ever envisioned about beginning and developing your own business, this online class isn't to be missed! Go along with us on Wednesday, January 15 at 1PM (EST) for this exceptional introduction. Moderator: Dan Citrenbaum, Franchise Coach and Entrepreneurial Consultant. Cost: Free! Join NOW ? About The Presenter Dan Citrenbaum is a Franchise Coach and Entrepreneurial Consultant, and is a franchisee himself. He has gone through more than 25 years helping entrepreneurs begin and develop their organizations, so as to accomplish their fantasies. He offers a free support of assist individuals with finding a current business to purchase, or a fruitful establishment to begin. View his organization's site at www.EntrepreneurOption.com Mr. Citrenbaum can be reached at DCitrenbaum@gmail.com or at (215) 367-5349. Photograph Credit: Shutterstock Have you joined our vocation development club?Join Us Today!

Career Story Of Sakshi Malik, The Wrestling Wonder

Blog » Inspirational Stories » Career Story of Sakshi Malik, the Wrestling Wonder Career Story of Sakshi Malik, the Wrestling Wonder by Rajat Taneja | Sep 16, 2016 | Inspirational Stories “It’s bizarre to see how people change so rapidly. They now take curiosity in me when I’m rising to the highest, but didn’t assist me once I was beginning out.” â€" Sakshi Malik In India’s 2011 Census, the state of Haryana had the bottom baby intercourse ratio (834 to one thousand). Even right now, the state is plagued with circumstances of female foeticide. Surprisingly, the identical state has given India its first feminine wrestler to win an Olympic medal. Actually, more than the state it was the wrestler’s mind-set. Sakshi Malik was born in the Rohtak district of Haryana, in a village referred to as Mokhra. This was a area the place wrestling wasn’t meant to be a sport for ladies. Before getting married, the women have been anticipated to “research a bit and then do family chores,” and after getting married they received “busy taking good care of their husbands and babies.” In spite of Sakshi’s dad and mom being supportive of her wrestling aspirations, the villagers used to level fingers when she wore shorts or wrestled with boys. Nonetheless , she continued together with her intensive coaching, juggling it with her lecturers and then with an Indian Railways job. And at age 23, Sakshi became the first female wrestler to win an Olympic medal for India. Sakshi Malik’s parents weren't been associated with sports activities, not like those of Sania Mirza and Dipa Karmakar. Malik’s father was a bus conductor with the Delhi Transport Corporation, and her mom was a supervisor at a local health clinic. Malik obtained motivated to take up wrestling on seeing her grandfather, who had additionally been a wrestler in his life. Malik began her coaching at age 12, at an akhara in Chhotu Ram Stadium in Rohtak. Her dad and mom organized for her coaching and in addition took care of her food plan and nutrition. Malik’s coach, Ishwar Singh Dahiya, faced protests from the villagers when he began training Malik, as ladies within the village had been expected to be confined to their properties. Career in Sports In a region the place wrestling wasn’t for girls, Malik needed to wrestle with boys as a substitute. This became attainable because of Malik’s quickness in studying and improvisation. She and coach Dahiya had to overcome the stigma of getting the alternative genders to wrestler with each other. Dahiya made her fight with the males to also improve her sport additional. Despite Malik’s talent and the eagerness to improve, the locals often stated mean issues to her that generally challenged her self-belief. Besides Malik and coach Dahiya, her mother and father have been also criticized for their decision to get a girl skilled in a sport like wrestling. They had been warned that their daughter would develop “puffed-out cauliflower ears” that was widespread amongst wrestlers, and become undesirable to potential husbands. Fortunately, this didn’t deter Malik’s parents from giving their greatest to assist their daughter. Malik went to Vaish Public School in Rohtak, after which to Vaish Girls College. The leaders of those institutes were empathetic with Malik’s aspirations in wrestling and created the circumstances to help her ease out the tutorial strain. Malik was made part of the JSW Sports Excellence Programme, that additionally supported other famous Indian female wrestlers corresponding to Babita Kumari, Geeta Phogat and Vinesh Phogat. As an expert wrestler, Malik’s first international success came on the Junior World Championships in 2010. She won the bronze medal in the fifty eight kg freestyle occasion. Her inspiration at the moment was Indian wrestler Sushil Kumar, who received the bronze medal at the 2008 Beijing Olympics. India built its popularity as a wrestling energy when wrestlers Yogeshwar Dutt and Sushil Kumar received medals at the 2012 London Olympics. The medals in wrestling at the Olympic Games in 2008 and 2012 kept Malik impressed to win her personal Olympic medal one day. was a happening yr for Malik. She began it with bagging the gold medal in the 60 kg class on the 2014 Dave Schultz International Tournament. This was adopted by her winning the silver medal at the 2014 Commonwealth Games in Glasgow. However, at the 2014 World Wrestling Championships in Tashkent, Malik couldn’t make it previous the Round of sixteen. She bounced back in May 2015 by winning the bronze medal at the 2015 Asian Wrestling Championships in Doha. Malik was one of three female wrestlers to qualify for the Rio Olympics. Though she’d had a powerful monitor record, Malik was the second selection of the Wrestling Federation of India (WFI) for the 2016 Rio Olympics. WFI’s first selection was well-known wrestler Geeta Phogat, who was India’s first feminine gold medalist (2010, Commonwealth Games), and the primary Indian feminine wrestler to qualify for the Olympics (2012, London Olympics). Malik certified for the 2016 Olympics by reaching the finals of the fifty eight kg category at the 2016 World Wrestling Olympic Qualification event in Istanbul, Turkey. India’s biggest hope for a medal on the 2016 Rio Olympics was Vinesh Phogat, who had gained her country a gold medal on the 2014 Commonwealth Games and a silver medal at the 2015 Asian Championships. Unfortunately, Phogat had to exit the competitors following an harm. After profitable the Round of 32 and the Round of 16 matches at Rio, Malik misplaced within the quarterfinals to Russian wrestler Valeria Koblova. Fortunately, Koblova reached the finals that made Malik eligible for the repechage spherical. Malik defeated Mongolian wrestler Pürevdorjiin Orkhon in her first bout, and then confronted Kyrgyz wrestler Aisuluu Tynybekova for the bronze medal match. Tynybekova was the reigning Asian champion who was main the match towards Malik at zeroâ€"5. Even until the last three minutes of the match, Malik was for hopeful for the bronze medal. During the last 30 seconds, she may hear her coach say “Sakshi, assault!” and then the tables finally turned in the ultimate nine seconds of the match. Malik received the match 8â€"5, turning into India’s first feminine wrestler to win an Olympic medal. Malik fought a complete of 5 bouts through the day to get on the podium. She additionally grew to become the fourth feminine Olympic medalist from India, after weightlifter Karnam Malleswari (2000, Sydney), boxer MC Mary Kom (2012, London) and badminton player Saina Nehwal (2012, London). After Malik bagged the bronze medal on the Rio Olympics, she was promoted from a senior clerk to a gazetted officer by the Indian Railways. She was additionally appointed as the wrestling director of her alma mater, Maharshi Dayanand University in Rohtak. Most importantly, Malik was honoured with the distinguished Rajiv Gandhi Khel Ratna award by the federal government of India, even earlier than getting an Arjuna Award. Have many questions about your profession ? Sakshi Malik’s success story is a simple instance of the facility of listening to your inside voice, as a substitute of getting misplaced within the noise round you. Malik’s coach, her parents, and the institutes she studied in performed a serious role in her success, nurturing and supporting her every time she wanted them to. But what mattered probably the most was Malik’s self-perception. At instances it did go for a toss, however it stayed. As Muhammad Ali used to say: “There’s nothing mistaken with getting knocked down, as long as you get right back up.” A very important lesson we can study is making a choice to think past the social norms and cultural variations that we come throughout in life. Malik decided to take up wrestling, trained with male wrestlers and gave it her all to a sport that wasn’t alleged to be taken up by girls. Success was certain to come to her as she never actually took things significantly, however calmly. We don’t have to take ourselves s o much significantly; life is too brief for seriousness.

How to Create a CV

<h1>How to Create a CV</h1><p>How to make a CV is very basic - you need to choose what sort of picture you need. A decent CV will have all the essential data however in the event that you are after the additional touch, at that point you should make certain to incorporate these extra things to take full advantage of your CV.</p><p></p><p>The first thing that you ought to do when you are making a CV is to choose what data you have to incorporate. This will guarantee that you can make the most ideal CV. In light of this you ought to think about your working experience, training and individual background.</p><p></p><p>Your work experience ought to remember any understanding for which you worked under another person and really needed to hand over the obligations. For instance, you could have been a forklift administrator and worked for some time under a client who was quite charge of the activity. You ought to likewise inc orporate any significant preparing or applicable experience. With regards to your instruction your general degree of learning will rely upon whether you considered a certificate or a partner degree.</p><p></p><p>Your individual foundation ought to incorporate things, for example, to what extent you have lived in the UK, where you live and your explanation behind going to the UK. You ought to likewise have some thought of to what extent you have been in work and at what level. You ought to likewise incorporate in the event that you have lived abroad.</p><p></p><p>Information about your training ought to incorporate subtleties of any capabilities that you have gotten throughout the years. In the event that you went to encourage training, it ought to likewise be referenced on the off chance that you have finished a college degree or something similar.</p><p></p><p>What the data on your CV will be founded on will be the accomplishment of your application. On the off chance that you are searching for an occupation that expects you to travel a great deal as well as live abroad then you may need to set aside a more drawn out effort to have the option to get your CV completed.</p><p></p><p>The other explanation that you should incorporate these things is that they establish a decent connection with the human asset staff at your forthcoming boss. They will utilize your CV when they are attempting to locate a reasonable contender for the job you are applying for. On the off chance that you have had the option to fill in the entirety of the pertinent data effectively then this will go far to helping your CV get the outcomes that you want.</p><p></p><p>It is imperative to recollect that your CV isn't just about the accomplishments of the activity in which you are applying. You more likely than not put forth an attempt to show that you are a decent conten der for the activity that you are applying for, so including the extra data will go far to making your CV stand out.</p>

Data Science Tutorial For Beginners

Data Science Tutorial For Beginners Data Science Tutorial Learn Data Science from Scratch! 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Last updated on May 22,2019 52K Views Hemant Sh arma11 Comments Bookmark 2 / 10 Blog from Data Science Introduction Become a Certified Professional Want to start your career as a Data Scientist, but dont know where to start? You are at the right place! Hey Guys, welcome to this awesome Data Science Tutorial blog, it will give you a kick start into data science world.To get in-depth knowledge on Data Science, you can enroll for live Data Science Certification Training by Edureka with 24/7 support and lifetime access. Lets look at what we will be learning today:Why Data Science?What is Data Science?Who is a Data Scientist?Job TrendsHow to solve a problem in Data Science?Data Science ComponentsData Scientist Job RolesWhy Data Science?Its been said that Data Scientist is the Sexiest Job of the 21st century. Why? Because over the past few years, companies have been storing their data. And this being done by each and every company, it has suddenly led to data explosion. Data has become the most abundant thing today.But, what will yo u do with this data? Lets understand this using an example:Say, you have a company which makes mobile phones. You released your first product, and it became a massive hit. Every technology has a life, right? So, now its time to come up with something new. But you dont know what should be innovated, so as to meet the expectations of the users, who are eagerly waiting for your next release?Somebody, in your company comes up with an idea of using the user generated feedback and pick things which we feel users are expecting in the next release.Comes in Data Science, you apply various data mining techniques like sentiment analysis etc and get the desired results.Its not only this, you can make better decisions, you can reduce your production costs by coming out with efficient ways, and give your customers what they actually want!With this, there are countless benefits that Data Science can result in, and hence it has become absolutely necessary for your company to have a Data Science Tea m.Requirements like these led to Data Science as a subject today, and hence we are writing this blog on Data Science Tutorial for you. :)Data Science Tutorial: What is Data Science?The term Data Science has emerged recently with the evolution of mathematical statisticsand data analysis. The journey has been amazing, we have accomplished so much today in the field of Data Science.In the next few years, we will be able to predict the future as claimed by researchersfrom MIT. They already have reached a milestone in predicting the future, with their awesome research. They can now predict what will happen in the next scene of a movie, with their machine! How? Well it might be a little complex for you to understand as of now, but dont worry by the end of this blog, you shall have an answer to that as well.Coming back, we were talking about Data Science, it is also known as data driven science, which makes use of scientific methods, processes and systems to extract knowledge or insights f rom data in various forms, i.e either structured or unstructured.What are these methods and processes, is what we are going to discuss in this Data Science Tutorial today.Moving forward, who does all this brain storming, or who practices Data Science? A Data Scientist.Who is a Data Scientist?As you can see in the image, a Data Scientist is the master of all trades! He should be proficient in maths, he should be acingthe Business field, and should have great Computer Science skills as well. Scared? Dont be. Though you need to be good in all these fields, but even if you arent, youre not alone! There is no such thing as a complete data scientist. If we talkabout working in a corporate environment, the work is distributed among teams, wherein each team has their own expertise. But the thing is, you should be proficientin atleast one of these fields. Also,even if these skills are new to you, chill! It may take time, but these skills can be developed, and believe me it would be worth the time you will be investing. Why? Well, lets look at the job trends.Data Scientist Job TrendsWell, the graphsays it all, not only there are lot of job openingsfor a data scientist, but the jobs are well-paid too! And no, our blog will not cover the salary figures, go google!Well, we now know, learning data science actually makes sense, not only because it is very useful, but also you have a great career in it in the near future.Lets start our journey in learning data science now and begin with,How to solve a problem in Data Science?So now, lets discuss how should one approach a problem and solve it with data science. Problems in Data Science are solved using Algorithms. But, the biggest thing to judge is which algorithm to use and when to use it?Basically there are 5 kinds of problems which you can face in data science.Lets address each of these questions and the associated algorithms one by one:Is this A or B?With this question, we are referring to problemswhich have a categorical answer, as in problemswhich have a fixed solution, the answer could either be a yes or a no, 1 or 0, interested, maybe or not interested.For Example:Q. What will you have, Tea or Coffee?Here, you cannot say you would want a coke! Since the question only offers tea or coffee, and hence you may answer one of these only.When we have only two type of answers i.e yes or no, 1 or 0, it is called 2 Class Classification. With more than two options, it is called Multi Class Classification.Concluding, whenever you come across questions, the answer to which is categorical, in Data Science you will be solving these problems using Classification Algorithms.The next problem in this Data Science Tutorial, that you may come across, maybe something like this,Is this weird?Questions like these deal with patterns and can be solved using Anomaly Detection algorithms.For Example:Try associatingthe problem is this weird? to this diagram,What is weird in the above pattern? The red guy, isnt it?Whenever t here is a break in pattern, the algorithm flags that particular event for us to review. A real world application of this algorithm has been implemented byCredit Card companies where in, any unusual transaction by a user is flagged for review. Hence implementing security and reducing humans effort on surveillance.Lets look at the next problem in this Data Science Tutorial, dont be scared, deals with maths!How much or How many?Those of you, who dont like maths, be relieved! Regression algorithms are here!So, whenever there is aproblem which may ask for figures or numerical values, we solve it using Regression Algorithms.For Example:What will be the temperature for tomorrow? Since we expect a numeric value in the response to this problem, we will solve it using Regression Algorithms.Moving along in this Data Science Tutorial, lets discuss the next algorithm,How is this organised?Say you have some data, now you dont have any idea, how to make sense out of this data. Hence the questio n, how is this organised?Well, you can solve it using clustering algorithms. How do they solve these problems? Lets see:Clustering algorithms group the data in terms of characteristics which are common. For example in the above diagram, the dots are organised based on colors. Similarly, be it any data, clustering algorithms try to apprehend what is common between them and hence clusters them together.The next and final kind of problem in this Data Science Tutorial, that you may encounter is,What should I do next?Whenever you encounter a problem, wherein your computer has to make a decision based on the training that you have given it, it involves Reinforcement Algorithms.For Example:Your temperature control system, when it has to decide whether it should lower the temperature of the room, or increase it.How do these algorithms work?These algorithms are based on human psychology. We like being appreciated right? Computers implement these algorithms, and expect being appreciatedwhen b eing trained. How? Lets see.Rather than teaching the computer what to do, you let it decide what to do, and at the end of that action, you give either a positive or a negative feedback. Hence, rather than defining what is right and what is wrong in your system, you let your system decide what to do, and in the end give a feedback.Its just like training your dog. You cannot control what your dog does, right? But you can scold him when he does wrong. Similarly, maybe patting him on the back when he does what is expected.Lets apply this understanding in the example above, imagine you are training the temperature control system, so whenever the no. of people in the room increase, there has to be an action taken by the system. Either lower the temperature or increase it. Since our system doesnt understand anything, it takes a random decision, lets suppose, itincreases the temperature. Therefore, you give a negative feedback. With this, the computer understands whenever the number of peop leincrease in the room,never increase the temperature. Similarly for other actions, you shall give feedback. With each feedback your system is learning and hence becomes more accurate in its next decision, this type of learning is called Reinforcement Learning.Now, the algorithms that we learnt above in this Data Science Tutorial involve a common learning practice. We are making the machine learn right?What is Machine Learning?It is a type of Artificial Intelligence that makes the computers capable of learning on their own i.e without explicitly being programmed. With machine learning, machines can update their own code, whenever they come across a new situation.Concluding in this Data Science Tutorial, we now know Data Science is backed by Machine Learning and its algorithms for its analysis. How we do the analysis, where do we do it. Data Science further has some components which aids us in addressing all these questions.Before that let me answer how MIT can predict the future, be cause I think you guys might be able to relate it now. So, researchers in MIT trained their model with movies and the computers learnt how humans respond, or how do they act before doing an action.For example, when you are about shake hands with someone you take your hand out of your pocket, or maybe lean in on the person. Basically there is a pre action attached to every thing we do. The computer with the help of movies was trained on these pre actions. And by observing more and more movies, their computers were then able to predict what the characters next action could be. Easy aint it? Let me throw one more question at you then in this Data Science Tutorial! Which algorithm of Machine Learning they must have implemented in this?Data Science Components1. DatasetsWhat will you analyze on? Data, right? You need a lot of data which can be analyzed, this data is fed to your algorithms or analytical tools. You get this data from various researches conducted in the past.2. R StudioR is an open source programming language and software environment for statistical computing and graphics that is supported by the R foundation. The R language is used in an IDE called R Studio.Why is it used?Programming and Statistical Language Apart from being used as a statistical language , it can also be used a programming language for analytical purposes.Data Analysis and VisualizationApart from being one of the most dominant analytics tools, R also is one of the most popular tools used for data visualization.Simple and Easy to LearnR is a simple and easy to learn, read writeFree and Open SourceR is an example of aFLOSS(Free/Libre and Open Source Software) which means one can freely distribute copies of this software, read its source code, modify it, etc.R Studio was sufficient for analysis, until our datasets became huge, also unstructured at the same time. This type of data was called Big Data.3. Big DataBig data is the term for a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications.Now to tame this data, we had to come up with a tool, because no traditional software could handle this kind of data, and hence we came up with Hadoop.4. HadoopHadoop is a framework which helps us to store and process large datasets in parallel and in a distribution fashion.Lets focus on the store and process part of Hadoop.StoreThe storage part in Hadoop is handled by HDFS i.e Hadoop Distributed File System. It provides high availability across a distributed ecosystem. The way it function is like this, it breaks the incoming information into chunks, and distributes them to different nodes in a cluster, allowing distributed storage.ProcessMapReduce is the heart of Hadoop processing. The algorithms do two important tasks, map and reduce. The mappers break the task into smaller tasks which are processed parallely. Once, all the mappers do their share of work, they aggre gate their results, and then these results are reduced to a simpler value by the Reduce process. To learnmore on Hadoop you can go through our Hadoop Tutorial blog series.If we use Hadoop as our storage in Data Science it becomes difficult to process the input with R Studio, due to its inability to perform well in distributed environment, hence we have Spark R.5. Spark RIt is an R package, that provides a lightweight way of using Apache Spark with R. Why will you use it over tradition R applications? Because, it provides a distributed data frame implementation that supports operation like selection, filtering, aggregation etc but on large datasets.Take a breather now ! We are done with the technical part in this Data Science Tutorial, lets look at it from your job perspective now. I think you would have googled the salaries by now for a data scientist, but still, lets discuss the job roles which are available for you as a data scientist.Data Scientist Job RolesSome of the prominent Data Scientist job titles are:Data ScientistData EngineerData ArchitectData AdministratorData AnalystBusiness AnalystData/Analytics ManagerBusiness Intelligence ManagerThe Payscale.com chart in this Data Science Tutorial below shows the average Data Scientist salary by skills in the USA and India.The time is ripe to up-skill in Data Science and Big Data Analytics to take advantage of the Data Science career opportunities that come your way. This brings us to the end of Data Sciencetutorial blog. I hope this blog was informative and added value to you.Now is the time toenter the Data Science world and become a successful Data Scientist.Edureka has a specially curated Data Science coursewhich helps you gain expertise in Machine Learning Algorithms like K-Means Clustering, Decision Trees, Random Forest, Naive Bayes. Youll learn the concepts of Statistics, Time Series, Text Mining and an introduction to Deep Learning as well. New batches for this course are starting soon!!Got a question for us in Data Science Tutorial? 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7 signs that you have a perfect, ready for submission resume

7 signs that you have a perfect, ready for submission resume 7 signs that you have a perfect, ready for submission resume Resumes 7 signs that you have a perfect, ready for submission resume Weve all had those nights of frustration, up late with coffee stains all over our work. Bunches of scrunched up paper around the waste basket, with nothing in our minds but frustration at how to get the sweet spot for our resume. As infuriating as it can be, weve found 7 signs that you have a perfect, ready for submission resume. If you want to know what these 7 signs are, read on. courtesy of D.Lee unsplash.com 1. Have A Well Written Summary For Your Resume A summary is one of the most important things you can write for your resume. It gives the basic outline and structure of who you are. It also gives a feel and an idea of who they want to be employing. In your summary, also include the basics such as achievements, skills and any other accomplishments you have. Also make sure all of these things are relevant to the job. If you put in things which are specifically relevant to the job, it can make it look like you have just cut and paste your resume. Keep your summary simple, keep it personal. Employers want to be able to know who you are and what youre capable of. 2. Write Your Resume First Before Your Cover Letter We all know how hard it can be to write a resume, let alone a cover letter. Not to worry. The trick is to write the cover letter last. Why? Once you have all the basics, skills and achievements in your resume, its much easier to transfer over to your cover letter. Once you have your resume done, all you have to do is write your cover letter around your skills and achievements that you have already put in your resume. For each job, this will have to be different. A summary is sometimes something people leave out because its often the one thing you have to change every time you apply for a different job. To have a great summary requires you to completely research what job you are going for. You want to include a basic outline of your experience, achievements and the reason why youre interested and passionate about the job you are applying for. Dont leave this out, employers need this to get a good idea who you are. 3. How To Sell Yourself Properly To Have A Great Resume A great resume requires much more than how much you can do and what you want to achieve. It has to show personality and character. This is what employers want to see, not just another block of text on a paper. By describing why youre great at what you do, and why you love it gives them an insight into who you are. Heres a great structured example you can use to help you out. Structure example: I am interested in *job field* because I have over *enter experience* in the *enter field*, having previously specializing in *job field*. This is simple, clear and concise of what an employer wants to read. 4. Have A Great Looking Resume Design is a crucial factor if you want to know if your resume is ready to give out. Its going to be the first thing that every employer knows and its going to be the first impression of who you are. One thing that will help you have a great resume is consistency. Make sure all the fonts are consistent and that it is easy to read. Keeping it looking neat and tidy will also reflect those same qualities in yourself. 5. Use The Employers Language To Help You Build A Connection Dont just try and talk the talk. Walk the walk. What do I mean by this? By not just using the same vocabulary, use the same business terms and personality the employer is already using. If you dont do this, you will look like an outsider that has little or no experience. By talking their talk, you already show that you have a great interest in what they have to offer and that you are also keen and passionate. 6. Make Sure Your Resume Is Not Too Short Or Too Long Length of a resume can make it look like you dont have enough experience, or that you are wasting their time. Keep in mind, one of the few tasks employers like to do is to sit down reading pages and pages of resumes. After a while it desensitizes them, and they will automatically throw away the ones that they dont like. Dont give them that reason. Keep it between two and three pages. 7. Include A Cover Letter For Your Resume When youve been up all night and you have had to alter your resume for every application you have sent, you dont really feel like doing a cover letter. Its frustrating and annoying. But also, its essential. A cover letter is great, because it shows that you went that extra mile to help the employer show that youre interested, rather than just going the easier route and reformatting an email template. A cover letter can have a structure to it, but try and keep it as relatable as possible to the reader. This will get your foot in the door. Lets Finish Up When it comes to resume writing service, a lot of it is common sense. But you also have to remind yourself on the basics. Once you implement these steps, it should give you a foot in the door to the job you want. We hope you enjoyed these 7 signs that you a perfect, ready for submission resume!