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공개·회원 51명

At Least Ive Got One Skill



"I'd rather not disclose that at this point in the process, as I'd like to have a more comprehensive salary conversation based on my skills, what I can offer to the team, and company benefits. Can you tell me if you have a certain budget in mind?"




At least I’ve got one skill


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"Thank you for your offer! I am so excited about this opportunity. Unfortunately, I don't believe this compensation reflects the value of what I can bring to the table. Based on my skills and this role's responsibility, I feel [$X salary] makes more sense."


I turned to at least two mentors for advice each time I had a new job offer. I asked them questions like what range they felt I should shoot for, what perks and benefits I should request, and whether they thought a final offer was reasonable.


Why this works: It points to self-confidence and passion for the job, highlights that they have all the relevant skills for the position, and clarifies what gives them an advantage over other candidates through specific examples.


Why this works: This answer from a candidate with no experience in the industry takes advantage of the skills they acquired while volunteering to show they have what it takes to do the job.


Why this works: This entry-level candidate is honest about their lack of experience straight off the bat and focuses on what they can bring to the table in terms of soft skills through some real-life achievements. Moreover, their answer shows enthusiasm and willingness to learn.


Why this works: This candidate aptly touches upon all the qualifications and skills they mentioned in their resume and cover letter and decides to focus on their passion, industry knowledge, and enthusiasm to set themselves apart from other candidates.


Odegaard's decision to go to Heerenveen on loan has been cathartic, not least because it is the first time he has stepped out of his comfort zone. On his arrival at Valdebebas there was a sense that Odegaards Sr and Jr considered Castilla beneath the teenager. In fairness to Odegaard, as a full international and feted in Norway as the second coming of Jorgen Juve -- who coincidentally went on to work as a journalist at Dagbladet after firing his way to the position of Norway's top scorer, which he still holds -- it was understandable.


But the midfielder has two cards, both of which reside in Perez's sleeve. Firstly, the Real president is not one to give up on a personal investment and it was a matter of some pride to the construction magnate that he landed Odegaard ahead of numerous European suitors. Secondly, given Perez's previous when handling a manager who has failed to deliver at least one trophy in a season, Zidane's position is not as iron-clad approaching the winter break as it was in June.


After your degree programme, you are not done yet. The truth is, most data scientists have a Master's degree or Ph.D and they also undertake online training to learn a special skill like how to use Hadoop or Big Data querying. Therefore, you can enroll for a master's degree program in the field of Data science, Mathematics, Astrophysics or any other related field. The skills you have learned during your degree programme will enable you to easily transition to data science.


In-depth knowledge of at least one of these analytical tools, for data science R is generally preferred. R is specifically designed for data science needs. You can use R to solve any problem you encounter in data science. In fact, 43 percent of data scientists are using R to solve statistical problems. However, R has a steep learning curve.


A large number of data scientists are not proficient in machine learning areas and techniques. This includes neural networks, reinforcement learning, adversarial learning, etc. If you want to stand out from other data scientists, you need to know Machine learning techniques such as supervised machine learning, decision trees, logistic regression etc. These skills will help you to solve different data science problems that are based on predictions of major organizational outcomes.


Data science needs the application of skills in different areas of machine learning. Kaggle, in one of its surveys, revealed that a small percentage of data professionals are competent in advanced machine learning skills such as Supervised machine learning, Unsupervised machine learning, Time series, Natural language processing, Outlier detection, Computer vision, Recommendation engines, Survival analysis, Reinforcement learning, and Adversarial learning.


You need to regularly update your knowledge by reading contents online and reading relevant books on trends in data science. Don't be overwhelmed by the sheer amount of data that is flying around the internet, you have to be able to know how to make sense of it all. Curiosity is one of the skills you need to succeed as a data scientist. For example, initially, you may not see much insight in the data you have collected. Curiosity will enable you to sift through the data to find answers and more insights.


Companies searching for a strong data scientist are looking for someone who can clearly and fluently translate their technical findings to a non-technical team, such as the Marketing or Sales departments. A data scientist must enable the business to make decisions by arming them with quantified insights, in addition to understanding the needs of their non-technical colleagues in order to wrangle the data appropriately. Check out our recent flash survey for more information on communication skills for quantitative professionals.


To apply for a New Jersey CLP, you must be at least 18 years old. If you are under the age of 21, you can only operate intrastate (within NJ only) commerce and must select commerce category 3 or 4 on the CDL Holder Self-Certification form.


The applicant must have completed a program of study (a minimum of 36 semester credit hours at the graduate level) that includes academic coursework and supervised clinical experience sufficient in depth and breadth to achieve the specified knowledge and skills outcomes stipulated in Standards IV-A through IV-G and Standards V-A through V-C.


Implementation: The minimum of 36 graduate semester credit hours must have been earned in a program that addresses the knowledge and skills pertinent to the ASHA Scope of Practice in Speech-Language Pathology.


Implementation: Applicants are eligible to apply for certification once they have completed all graduate-level academic coursework and clinical practicum and have been judged by the graduate program as having acquired all of the knowledge and skills mandated by the current standards.


The applicant must have demonstrated communication skills sufficient to achieve effective clinical and professional interaction with persons receiving services and relevant others. For oral communication, the applicant must have demonstrated speech and language skills in English, which, at a minimum, are consistent with ASHA's current position statement on students and professionals who speak English with accents and nonstandard dialects. In addition, the applicant must have demonstrated the ability to write and comprehend technical reports, diagnostic and treatment reports, treatment plans, and professional correspondence in English.


Implementation: The applicant must have acquired the skills listed in this standard and must have applied them across the nine major areas listed in Standard IV-C. These skills may be developed and demonstrated through direct clinical contact with individuals receiving services in clinical experiences, academic coursework, labs, simulations, and examinations, as well as through the completion of independent projects.


The applicant must have obtained a sufficient variety of supervised clinical experiences in different work settings and with different populations so that the applicant can demonstrate skills across the ASHA Scope of Practice in Speech-Language Pathology. Supervised clinical experience is defined as clinical services (i.e., assessment/diagnosis/evaluation, screening, treatment, report writing, family/client consultation, and/or counseling) related to the management of populations that fit within the ASHA Scope of Practice in Speech-Language Pathology.


At least 325 of the 400 clock hours of supervised clinical experience must be completed while the applicant is enrolled in graduate study in a program accredited in speech-language pathology by the CAA.


Implementation: The CF experience can be initiated only after completing all graduate credit hours, academic coursework, and clinical experiences required to meet the knowledge and skills delineated in Standards IV and V. The CF experience must be initiated within 24 months of the date on which the application for certification is received. Once the CF application process has been initiated, it must be completed within 48 months of the initiation date. Applicants completing multiple CFs experiences must complete the CF experiences related to the application within 48 months of the date on which the first CF was initiated. Applications will be closed if CF experiences are not completed within the 48-month timeframe or are not submitted to ASHA within 90 days after the 48-month deadline. If an application is closed, then the Clinical Fellow may reapply for certification and must meet the standards that are in effect at the time of re-application. CF experiences more than 5 years old at the time of application will not be accepted.


Full-time professional experience is defined as 35 hours per week, culminating in a minimum of 1,260 hours. Part-time experience should be at least 5 hours per week; anything less than that will not meet the CF requirement and may not be counted toward completion of the experience. Similarly, work in excess of 35 hours per week cannot be used to shorten the CF to less than 36 weeks.


Additionally, supervision must include 18 other monitoring activities. Other monitoring activities are defined as the evaluation of reports written by the Clinical Fellow, conferences between the CF mentor and the Clinical Fellow, discussions with professional colleagues of the Clinical Fellow, and so forth, and may be completed by correspondence, telephone, or review of video and/or audio tapes. At least six (6) other monitoring activities must be conducted during each third of the CF experience. 350c69d7ab


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