Ortese Tutor Longo and Healed Heartache

Ortese Tutor Longo and Healed HeartacheOrtese Tutor Longo has been extremely popular in the Latin community for several years. With an amazing personal life that includes a loving wife, children and husband and mother, and a faithful, loving companion, Ortese Tutor Longo is in good company when it comes to being a good role model. When I read about Ortese's life story, the first things that come to mind are his attitude, integrity and intelligence.Ortese spent many years as a travel agent before opening his own business. In his travels he came across a woman, Didyma, who was willing to help him. They bonded, learning together from their conversations and working hard to support each other. She became his best friend and confidante. Through this friendship, and the hard work they put into their business, she learned to be self-reliant and created an impressive career for herself.Ortese grew tired of her continuous need to borrow money from him. He told her that if she didn't stop doin g this, he would not loan her money anymore. She took this advice and chose to work from home for herself. While she was at home, she began to expand her business by hiring other people to work for her, and finally opened a small shop where everyone could get what they needed, where no one had to stand in line for anything.As she grew and made more money, so did the number of people she hired. One day, she invited all the employees to dinner. She told them she would give them their own special meals and send them home when they were full. This one idea led to many others, which led to Ortese becoming very successful at home economics. He began to teach his skills to other people who wanted to do the same thing.Ortese became the recipient of many awards and honors for his dedication to helping others. One of his honors came from The Society of Black Engineers. He received the Society's Outstanding Young Black Male Award for his contributions to helping others.Ortese tutored people wi th disabilities. These people would often tell him that he was their hero. He even attended a Special Olympics convention and taught them a new dance to teach people with physical disabilities. His desire to help other people was so strong that he didn't want to be paid for his services, since he knew he couldn't afford to do it. He would be happy to go door to door for free and share his knowledge of home economics and how to help people.After being asked if he knew anyone in particular, he said, 'I don't.' He wasn't sure that there was anyone in the world that he looked up to, but he knew that he was definitely in love with his wife and his children. His friend and colleague did however, have a strong legacy of people that he looked up to.The passing of Ortese tutor Longo is heartbreaking but also inspiring. His work was important to so many people. His legacy will live on through his life and love of helping others.

Sky Avenues International Montessori Kindergarten

Sky Avenues International Montessori Kindergarten Sky Avenues International Montessori Kindergarten Sky Avenues International Kindergartens is committed to the service of the community, understanding that children are the major contributors to our future society. We strive together with the family and society beyond to create educational and personal excellence for the future harmony of our world. As Fujian Provinces first and only Internationally Licensed kindergarten, we are incredibly proud of our group of schools.Opened in 2013, Sky Avenues International Kindergarten has rapidly grown from one classroom with just a few children to todays 3 kindergartens 300 children from 0-6 years old. More and more families are understanding the importance of a natural, organic, happy, holistic and respectful learning environment for their children. When this is married with English language immersion taught by trained, native English speaking teachers, we have a school that brings world education to the children of Xiamen. We currently follow 2 curriculums: an interdisciplinary programme that merges the best of many programmes world-wideand the child-centred, mixed-age Montessori early years curriculum. View our Brochure

Understanding Chemistry Tutors

Understanding Chemistry TutorsWhether you are a complete novice or an expert student, when it comes to applying for a chemistry tutor in Northridge, Los Angeles, the first thing that you should do is to become familiar with all the requirements that will be included in your application. When you have understood all the information, the only thing left is to apply and find out if you qualify for the position.A good chemistry tutor in Northridge can be a very useful asset to your schooling and career. This is why it is essential to make sure that you are hiring a professional individual. It is also important to understand that you need to pay attention to the qualifications that you are getting for your hire, so that you do not miss any opportunities to learn something new.It is important that you must learn some basic chemistry skills for this will go a long way. These can include chemical equations, units, acid and base, and reactions. All these concepts are very important for chemis try and you will have to be taught all of them before you can start working with an actual teacher. The better you know what you need to know, the more you will be able to provide excellent tutoring.You will also need to make sure that you have the proper materials on hand, when it comes to lessons that involve the learning of new concepts. If there is a need for a student to come up with their own calculations, then you will have to have calculators and laboratory kits that can help you with this. You should also have the materials necessary for the demonstration, which is something that is very important to the tutors.While applying for this position, you will need to have access to a website. This is needed to give you the ability to collect all the necessary details on your application. The website must have a link to the online application, so that you will have a means of submitting your application to the teachers who have been approved.The online application form is simple a nd easy to fill out. It will ask you to give as much information as possible and if you have a little bit of knowledge about the subject, this will be easier for you to answer. Be sure to read all the questions carefully and understand the consequences of the answers you provide.Fill out the online application form as quickly as possible because there is no time for mistakes. If you fill out the application on time, it will help to save the teachers from having to go through your application again, so that they can do their own due diligence.

How To Hire The Best Tutors For Your Students

How To Hire The Best Tutors For Your StudentsThe reputation of tutoring companies in Boston has been hurt by the government and by people who try to use the federal grant money in order to cheat students. Many schools have been struggling because of this, so it's very important for them to make sure that they are hiring the right tutors for the right students. If you're an educator or a student yourself and would like to become part of a tutoring company, there are some things that you can do to ensure that you are providing the best quality of tutoring possible.There is a big difference between being a teacher and being a tutor. Teachers are supposed to set goals and teach the students how to achieve them. Tutors are supposed to help the students understand the concept of their objectives and have the ability to help the students get where they need to be. These two professions are very different, but sometimes we don't take the time to realize that they are so much alike.The bigges t problem with many students is that they are not willing to take on new tasks in order to succeed. They don't see the value in a class and just want to go home and relax. The more time that they spend with you, the more they'll learn and the more motivated they'll be to get better.One of the biggest causes of low grade point averages and even failing classes are when students start to drop out. It's a huge problem, because once they've dropped out, it's pretty hard to re-teach them. It's also hard to find a place to send them because they don't have a good grade point average.So when you're looking to start a tutoring company, you need to look for the best of the best tutors in the Boston area. Check the accreditation status of the tutoring company. The company should have been accredited by an accrediting agency and also should have a positive feedback from a previous client.You can also check if the tutoring is relevant to the area that you're working in. For example, if you're i n the medical field, you wouldn't want to hire someone to help you with your math problems. You want to hire someone who specializes in the health field, and you will probably need someone who has already had experience working with patients and understanding what they need to do.Finding new tutors in Boston can be quite challenging, but it is essential if you want to provide the best tutoring possible. Use these tips to make sure that you're providing your students with the best possible education possible.

What are Descriptive Statistics

What are Descriptive Statistics Analyse Data Like a Pro ChaptersThe Origin of StatisticsTypes of Statistical AnalysisTips and Tricks for Learning Applied StatisticsFrom collecting the perfect sample size to ensuring the integrity of your statistical interpretation, understanding all the components of statistics can be difficult to navigate. In a world where knowing and using statistics is becoming ever more relevant in policies, social movements and more, it can be helpful to learn or recap some of the basics. Here’s everything you need to know about descriptive statistics!Being able to accurately interpret data is an essential statistics skill AisvaryaData Analysis Teacher 5.00 (4) £25/h1st lesson free!Discover all our tutors AdeyemiData Analysis Teacher 5.00 (4) £25/h1st lesson free!Discover all our tutors AdenikeData Analysis Teacher 5.00 (4) £25/h1st lesson free!Discover all our tutors GokhanData Analysis Teacher 5.00 (4) £30/h1st lesson free!Discover all our tutors OlawaleData Analysis Teacher £12/h1st lesson free!Discover all our tutors ThanushanData Analysis Teacher 5.00 (4) £25/h1st lesson free!Discover all our tutors AisvaranData Analysis Teacher 5.00 (4) £25/h1st lesson free!Discover all our tutors Muhammad umairData Analysis Teacher 5.00 (2) £100/h1st lesson free!Discover all our tutorsThe Origin of StatisticsUsing bit data analysis and statistical methods to understand the world around us may seem like a 20th century invention. While the statistical inference that statisticians conduct in the present day are much more powerful with statistical software and programs, the work of the statistician is one of the oldest trades on the planet.While the intricacies of Bayesian statistics or understanding categorical data deserve a lengthier explanation in the context of the evolution of statistical data and analysis, you can get the basics by looking at the origin of statistics in a nutshell.While statistical inference intersects a plurality of other modern disciplines, such as biostatistics or business analytics, it started as a way to order or register the phenomena of early humans. Recording and analysing the movements or agriculture, astrology or commerce to improve sanitary, food and economic conditions were all ways our ancestors used inferential and descriptive statistics.Types of Statistical AnalysisAttempting to define a domain like mathematical statistics, whose uses are ubiquitous, can be like trying to find a needle in the dark - especially if that needle happens to be as headache inducing as probability theory. Here to alleviate the confusion behind all things probability and statistics is someone who initially detested anything having to do with statistical analysis.Admittedly, the jargon attached to statistical theory can get scary: ordinal and categorical data, sample data, population mean, percentile, Markov chain.Behind the complex terminology, however, are concepts that are actually quite simple at their base. If you’re studying statistics, you will li kely be taught Bayesian statistics, which uses a probability distribution in order to test a null hypothesis against an alternative hypothesis. In layperson’s terms, Bayesian statistics makes assumptions about raw data to construct hypotheses and then tests whether those hypotheses are likely or not for that given set of data. Before diving further into prediction analysis and common statistical techniques, it can be helpful to start with the common ways in which you can use data visualization to analyse qualitative and quantitative data.Descriptive StatisticsAnyone who’s had to produce a histogram, pie or bar chart for class or work â€" congratulations, you’ve participated in one of the most common ways data scientists conduct statistical analyses. Descriptive statistics are measures of central tendency and variance, which translates into measuring data by the average and how far away particular points are from that average. Measures of central tendency can include metrics li ke:       Sample mean       Median       ModeMeasures of variability, or dispersion, include things like:       Variances       Covariance       Standard deviationWhile this may sound like an overly simplified process, conducting exploratory analysis with descriptive statistics is an integral part of every study design. Before the mathematician or data scientists concerns themselves with multivariate linear regression or constructing a confidence interval with estimators, they have to know what their data contains.You can complete a statistical data analysis with just descriptive statistics and their visualizations. One of the most beautiful examples of this dates back to the 1850s, when Florence Nightingale produced her infamous “coxcomb” pie chart in order to extract vital information on mortality during the Crimean War. At a time when women in the field were virtually non-existent, Nightingale paved the way for innovative, under-represented groups in statistics.Se emingly similar statistics can have wildly different impacts on policyAnother important aspect of generating descriptive statistics is that many statistics or regression models necessitate certain assumptions in order for the them to be valid. While these assumptions vary from model to model, the most common requirement is that the data be normally distributed. A normal distribution is a probability curve that follows the central limit theorem. The majority of data normally doesn’t follow a normal distribution, which is why you’ll see many statisticians transform their dependent variables or independent variable.Using software like SPSS, R or excel â€" anyone can easily extract these metrics of central tendency and dispersion from the data. If the data is normally distributed, these metrics become extremely powerful. In finance, for example, the distribution of the data and the percentile under which certain prices or stocks fall under are used in order to understand the advanta ges or risks of potential trade deals.Common Descriptive Statistics ProblemsAs you’ve probably noticed by now, descriptive statistics is very distinct from the other main branch of statistics: inferential statistics. While inferential statistics uses the data to try to make predictions about the populations using statistical models, descriptive statistics merely describes what is actually in the data.Using descriptive statistics to analyse categorical and numerical, observational data is a type of statistical methodology that people utilize when they want to, for example:       Determine what percentage of their customers are young adults       Want to know what the distribution of grades in a university       Need to understand the effect size between two patient groups in a trialThis type of analysis, as opposed to regression analysis or ANOVA is typically called univariate analysis because it tends to analyse only one variable at a time.Descriptive Statistics ExampleWhile aspects of statistics like chi-square analysis, confidence intervals, or the correlation coefficient can be very enlightening â€" sometimes, all you need are descriptive statistics. Take the following numbers into account:       Mean: 30       Standard Deviation: 4Let’s say these numbers pertain to a set of data on your class’ test scores. You want to understand how the class performed but aren’t sure how to set up your experimental design. Assuming the data follow a normal distribution, we know that 68% of scores are within one standard deviation of the mean, 95% are within two standard deviations and 99% are within three.Without using statistical significance, randomization, or the least squares method, you are able to figure out that 95% of the class scored between 22 and 38 points where:       The lower bound: 30 â€" (2 * 4)       The upper bound: 30 + (2 * 4)Another statistical giant in the realm of descriptive analysis is correlation, which is a number that desc ribes the relationship between two variables. While you probably already know this, make sure that you fully understand the difference between correlation and causality. Correlation is a mathematical tool to understand how changes in one variable relates to changes in another, while causality is the notion that the changes in one variable causes changes in another.If you’ve ever heard a mathematician joke, then you’ll definitely appreciate the common example statisticians give when elucidating the correlation-does-not-equal-causality point. Take, for example, hand size and age. If you were to plot a sample of people from various ages, you would likely see a relationship where the bigger the hand size, the bigger the age as well. While there is clearly a correlation, or relationship, between hand size and age, there is unlikely to be any causality. If there were, this would mean that, were your hands to get smaller or disappear, you would either regress in age or die, respectivel y.Inferential StatisticsMoving onto the other main branch of statistics, inferential statistics is what people normally think of when they call up images of statistics. Relying on probability theory to create statistical models to draw inferences or calculate an estimator on one dependent variable or more, inferential statistics can be hard to define. However, the most important characteristics of inferential statistics can be boiled down to one sentence: the branch uses sample data on a population to make predictions outside that data set.Distributions and probability can be taught at a young ageTips and Tricks for Learning Applied StatisticsFrom binomial distributions and outliers to finding the perfect parametric test, understanding or remembering all of statistic’s components is an impossible feat. However, there are plenty of ways to either learn or improve your statistic skills.Getting Statistics Help OnlineUse the many websites online dedicated towards explaining statistica l concepts like a random variable or analysis of variance. Here are some of the best tutorial or troubleshooting guides online:Towards Data ScienceTutorials PointHow to Find a Tutor in StatisticsIf you prefer one-on-one help, make sure to check out Superprof’s community of over 140,000 maths teachers in the UK. From probability to regression, you can try a lesson for the average price of 10 pounds an hour! What are Descriptive Statistics Analyse Data Like a Pro ChaptersThe Origin of StatisticsTypes of Statistical AnalysisTips and Tricks for Learning Applied StatisticsFrom collecting the perfect sample size to ensuring the integrity of your statistical interpretation, understanding all the components of statistics can be difficult to navigate. In a world where knowing and using statistics is becoming ever more relevant in policies, social movements and more, it can be helpful to learn or recap some of the basics. Here’s everything you need to know about descriptive statistics!Being able to accurately interpret data is an essential statistics skill AisvaryaData Analysis Teacher 5.00 (4) £25/h1st lesson free!Discover all our tutors AdeyemiData Analysis Teacher 5.00 (4) £25/h1st lesson free!Discover all our tutors AdenikeData Analysis Teacher 5.00 (4) £25/h1st lesson free!Discover all our tutors ThanushanData Analysis Teacher 5.00 (4) £25/h1st lesson free!Discover all our tutors GokhanData Analysis Teacher 5.00 (4) £30/h1st lesson f ree!Discover all our tutors OlawaleData Analysis Teacher £12/h1st lesson free!Discover all our tutors AisvaranData Analysis Teacher 5.00 (4) £25/h1st lesson free!Discover all our tutors Muhammad umairData Analysis Teacher 5.00 (2) £100/h1st lesson free!Discover all our tutorsThe Origin of StatisticsUsing bit data analysis and statistical methods to understand the world around us may seem like a 20th century invention. While the statistical inference that statisticians conduct in the present day are much more powerful with statistical software and programs, the work of the statistician is one of the oldest trades on the planet.While the intricacies of Bayesian statistics or understanding categorical data deserve a lengthier explanation in the context of the evolution of statistical data and analysis, you can get the basics by looking at the origin of statistics in a nutshell.While statistical inference intersects a plurality of other modern disciplines, such as biostatistics or business analytics, it started as a way to order or register the phenomena of early humans. Recording and analysing the movements or agriculture, astrology or commerce to improve sanitary, food and economic conditions were all ways our ancestors used inferential and descriptive statistics.Types of Statistical AnalysisAttempting to define a domain like mathematical statistics, whose uses are ubiquitous, can be like trying to find a needle in the dark - especially if that needle happens to be as headache inducing as probability theory. Here to alleviate the confusion behind all things probability and statistics is someone who initially detested anything having to do with statistical analysis.Admittedly, the jargon attached to statistical theory can get scary: ordinal and categorical data, sample data, population mean, percentile, Markov chain.Behind the complex terminology, however, are concepts that are actually quite simple at their base. If you’re studying statistics, you will li kely be taught Bayesian statistics, which uses a probability distribution in order to test a null hypothesis against an alternative hypothesis. In layperson’s terms, Bayesian statistics makes assumptions about raw data to construct hypotheses and then tests whether those hypotheses are likely or not for that given set of data. Before diving further into prediction analysis and common statistical techniques, it can be helpful to start with the common ways in which you can use data visualization to analyse qualitative and quantitative data.Descriptive StatisticsAnyone who’s had to produce a histogram, pie or bar chart for class or work â€" congratulations, you’ve participated in one of the most common ways data scientists conduct statistical analyses. Descriptive statistics are measures of central tendency and variance, which translates into measuring data by the average and how far away particular points are from that average. Measures of central tendency can include metrics li ke:       Sample mean       Median       ModeMeasures of variability, or dispersion, include things like:       Variances       Covariance       Standard deviationWhile this may sound like an overly simplified process, conducting exploratory analysis with descriptive statistics is an integral part of every study design. Before the mathematician or data scientists concerns themselves with multivariate linear regression or constructing a confidence interval with estimators, they have to know what their data contains.You can complete a statistical data analysis with just descriptive statistics and their visualizations. One of the most beautiful examples of this dates back to the 1850s, when Florence Nightingale produced her infamous “coxcomb” pie chart in order to extract vital information on mortality during the Crimean War. At a time when women in the field were virtually non-existent, Nightingale paved the way for innovative, under-represented groups in statistics.Se emingly similar statistics can have wildly different impacts on policyAnother important aspect of generating descriptive statistics is that many statistics or regression models necessitate certain assumptions in order for the them to be valid. While these assumptions vary from model to model, the most common requirement is that the data be normally distributed. A normal distribution is a probability curve that follows the central limit theorem. The majority of data normally doesn’t follow a normal distribution, which is why you’ll see many statisticians transform their dependent variables or independent variable.Using software like SPSS, R or excel â€" anyone can easily extract these metrics of central tendency and dispersion from the data. If the data is normally distributed, these metrics become extremely powerful. In finance, for example, the distribution of the data and the percentile under which certain prices or stocks fall under are used in order to understand the advanta ges or risks of potential trade deals.Common Descriptive Statistics ProblemsAs you’ve probably noticed by now, descriptive statistics is very distinct from the other main branch of statistics: inferential statistics. While inferential statistics uses the data to try to make predictions about the populations using statistical models, descriptive statistics merely describes what is actually in the data.Using descriptive statistics to analyse categorical and numerical, observational data is a type of statistical methodology that people utilize when they want to, for example:       Determine what percentage of their customers are young adults       Want to know what the distribution of grades in a university       Need to understand the effect size between two patient groups in a trialThis type of analysis, as opposed to regression analysis or ANOVA is typically called univariate analysis because it tends to analyse only one variable at a time.Descriptive Statistics ExampleWhile aspects of statistics like chi-square analysis, confidence intervals, or the correlation coefficient can be very enlightening â€" sometimes, all you need are descriptive statistics. Take the following numbers into account:       Mean: 30       Standard Deviation: 4Let’s say these numbers pertain to a set of data on your class’ test scores. You want to understand how the class performed but aren’t sure how to set up your experimental design. Assuming the data follow a normal distribution, we know that 68% of scores are within one standard deviation of the mean, 95% are within two standard deviations and 99% are within three.Without using statistical significance, randomization, or the least squares method, you are able to figure out that 95% of the class scored between 22 and 38 points where:       The lower bound: 30 â€" (2 * 4)       The upper bound: 30 + (2 * 4)Another statistical giant in the realm of descriptive analysis is correlation, which is a number that desc ribes the relationship between two variables. While you probably already know this, make sure that you fully understand the difference between correlation and causality. Correlation is a mathematical tool to understand how changes in one variable relates to changes in another, while causality is the notion that the changes in one variable causes changes in another.If you’ve ever heard a mathematician joke, then you’ll definitely appreciate the common example statisticians give when elucidating the correlation-does-not-equal-causality point. Take, for example, hand size and age. If you were to plot a sample of people from various ages, you would likely see a relationship where the bigger the hand size, the bigger the age as well. While there is clearly a correlation, or relationship, between hand size and age, there is unlikely to be any causality. If there were, this would mean that, were your hands to get smaller or disappear, you would either regress in age or die, respectivel y.Inferential StatisticsMoving onto the other main branch of statistics, inferential statistics is what people normally think of when they call up images of statistics. Relying on probability theory to create statistical models to draw inferences or calculate an estimator on one dependent variable or more, inferential statistics can be hard to define. However, the most important characteristics of inferential statistics can be boiled down to one sentence: the branch uses sample data on a population to make predictions outside that data set.Distributions and probability can be taught at a young ageTips and Tricks for Learning Applied StatisticsFrom binomial distributions and outliers to finding the perfect parametric test, understanding or remembering all of statistic’s components is an impossible feat. However, there are plenty of ways to either learn or improve your statistic skills.Getting Statistics Help OnlineUse the many websites online dedicated towards explaining statistica l concepts like a random variable or analysis of variance. Here are some of the best tutorial or troubleshooting guides online:Towards Data ScienceTutorials PointHow to Find a Tutor in StatisticsIf you prefer one-on-one help, make sure to check out Superprof’s community of over 140,000 maths teachers in the UK. From probability to regression, you can try a lesson for the average price of 10 pounds an hour!

Why Plastic Surgery Wont Do Much to Advance Your Career - Introvert Whisperer

Introvert Whisperer / Why Plastic Surgery Wont Do Much to Advance Your Career - Introvert Whisperer Why Plastic Surgery Wont Do Much to Advance Your Career I was recently contacted by a big news outlet to comment on the  topic of plastic surgery for career success. I realized in the process of doing speaking with them  that I really needed to write on this topic as well, so you could benefit by it, in case you missed the recording. First, it’s important that you know that I think plastic surgery is a great option for people who want to correct or improve upon what they currently have. I have no moral or ethical issues with it. I also think that if a person should decide to do so, they need to pursue plastic surgery for purely personal reasons. However, plastic surgery done for any other reason than your own internal desire is a bad idea. Surgery of any sort is serious business. Simply doing the surgery has its own share of risks, not to mention the outcome. To pursue something that can be so life-altering as plastic surgery solely to give your career or job search an advantage is even riskier. There are never assurances that an improvement in your appearance will do anything to advance your career or get a great job offer. The Truth About Our Appearances Anyone who  believes plastic surgery will give their career a much-needed boost doesn’t understand the dynamics of working for someone. Unless your career is in entertainment or fashion, your appearance is way down the list of things that will give you a competitive advantage. You may argue that there are studies that show that beautiful people get ahead or get doors opened for them when others are left in the dust. Yes, attractive people get picked first, get asked to the prom first and may even have an advantage in interviews but that’s where it stops. All you have to do is to look at our political leaders or captains of industry to get the full story. Most of these people have very average appearances, and a few could stop a clock. One or two are attractive and that’s it. So, what happened to all of those “hot” people on the way to the top? Performance. You might be able to get a door opened when youre beautiful, but once you have entered, it all comes down to how well you perform. (Like this thought? Tweet it!)  Those who are used to trading solely on their appearance rudely find out that if they can’t get the job done, they will be  shown the door again on their way out. Whats an Average Person to Do? That means that for the rest of humanity, the playing field gets leveled very quickly when it comes to careers. We can compete with the beautiful people. The great thing is that for the average-looking person, we’ve always known we had to perform well because we didn’t have our looks to help us along the way. If youre contemplating plastic surgery because youve packed a few years under your belt, guess what? You won’t be able to hide your age that long to employers. Even if you cut off your years of experience in your resume, sooner or later your age will show because of things like the age of your kids or stories of past experience you tell. If you aren’t in the “mature worker” category but think plastic surgery will give your job search or career some help, what planet are you living on? You aren’t going to change that much. You might look like a fresher version of you, but that fresher version is still going to interact with people the same and have the same skill sets, unless you plan to do a major overhaul from the inside out. (And by the way, if you are going to change your behavior game, change it first and see how it goes. You might be shocked to find its  the best thing you could do for your career.) Put simply, you’re focusing on the wrong things to achieve success in your job search and career if you think the answer is plastic surgery. Would  you ever contemplate plastic surgery? Why or why not? Share your thoughts in the comments! Image:  Flickr Go to top Personal Branding starts with how well you speak about YOU.  I want to help you accelerate your career by connecting you with your Free Instant Access to my eBook â€" The Definitive Guide to Creating and Using an Elevator Speech.  In this guide, I give you simple to follow instructions for creating a “wardrobe” of ways to talk about you â€" to leave a lasting impression. Get your copy now! Brought to you by Dorothy Tannahill-Moran â€" dedicated to unleashing your professional potential. Introvert Whisperer

Biology the Dynamics of Life Online Biology Tutors Tutorpace

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Top Ideas To Crack The Complexities Of Chemistry

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