Study Your Niche – Your school books would not be sufficient sources of knowledge about the industry you will be working in. Say, you are journalism or mass communication intern in the making. Read the newspapers. They can help you learn the appropriate terms to use in connection to your beat reporting. Perhaps, you are an economics intern. Have a daily dose of the news about the economy so that you will be updated with the stock market trends and the like.
Be Searchable – Whether you are applying for paid internships abroad or just locally, related companies must be able to search for your profile over the web. Do you have Facebook page or a Google plus account? Fill your pages with helpful information that can provide useful information about you, say your credentials, to potential employers. Be mindful of the photos and the statements which you post in your account. They can make or break your dreams.
Be Sociable – This is somehow connected to the above-mentioned idea. Twitter is one of the other applications that can get you in contact with relevant people in your industry. Moving forward, keeping a blog would be a more explicit way for you to be sociable and searchable at the same time. Your personal blog can serve as your marketing platform – aiding you to get the position you desire. Here is one of the internship tips to take note in this aspect. Blog about your niche and the other issues or topics that interests you. This is a great way to send the message that you know your niche inside and out and the happenings around you as well. Create the impression that you are smart but do not overdo it.
Show Gratitude – Even though an internship referral did not become successful on your end, thank the people who gave you a hand on it. If the opposite happens, do the same. Remember, people are generally more helpful to those who show gratitude than those who don’t.
Knowledge of data helps you ask appropriate questions and derive insights from big data, it teaches you how to manipulate data sets and allows you to gain the skill of visualization of your own findings in a convincing manner. A well-designed course trains you about how to handle data science tools. The tools which build the foundation are Mathematical tools and computational tools. The in-depth understanding of these tools and proficiency in handling these tools helps one in suggesting data-driven solutions in the business.
Mathematical and applied are two aspects and to learn data science, one has to gain an understanding of both of these aspects. Probability, statistics, and machine learning come under the scope of Mathematical aspect while applied aspects help you gain knowledge of data science, languages which includes Python, MATLAB, JAVA, SQL. It also helps gives you an understanding of the usage of the specific toolkit. The applied aspects let you into the real data world. Training in a data science course gives you expertise in the collection of big data as well as its analysis and cleansing. This training assists you in executing analysis of big data on a large scale. It also trains you on how to communicate your findings in a compelling manner.
The term which shares a very close association with data science is Machine learning. Machine learning deals with algorithms to draw patterns out of data and to make predictions. For this purpose of making predictions and drawing out patterns, machine learning employed methods of data modeling. While making predictions, machine learning trains predictive models by making use of tagged data. The awareness of ground truth gives rise to observations which qualify themselves as tagged data. This task of making prediction includes training of models to enable them on how to prefigure the unknown data from tagged data. The training of models can be done by employing various methods. While some of these methods are simple, like regression, the others are complex, like neural nets. While discovering patterns out of data, machine learning tries to look for some patterns or search for some data associations in a situation where tagged data is absent. While there are more categories to machine learning, these two comprises of the core categories.
- According to the US Census Bureau poverty rate was 12.3%, a 0.4% decrease from the year before. The poverty rate has fallen 2.5%. So if the current trend line is a declining poverty rate why is a harsh condition like work requirements for the poor necessary at this time?
- This effort was last tried under Bill Clinton and Newt Gingrich with their 1996 welfare reform legislation. We’ve had a couple decades to see how that has gone and studies like those from the Center on Budget and Policy Priorities and in the book Making Ends Meet (Edin and Lein) show that despite short term marginal improvements in employment they were not sustainable, mostly due to necessary and increased living expenses, absorbing any work generated financial gains.
- Where are these jobs that the poor are supposed to get? If you’ve spent most of your life in poverty chances are quite low you can pick up a knowledge-economy job quickly. We’ve all heard how the traditional manual labor jobs are drying up, so what’s left? Lousy-waged part-time jobs with unpredictable and changeable hours is what’s left.
- If the government feels the need to pick on somebody shouldn’t it be the employers of vast numbers of unskilled and low-skilled who pay their workers, including the working poor, insufficient wages that in turn need to be underwritten by the American tax payers?
Now one place where there could be political agreement is in the government providing subsidized high quality work training requirements targeted to actually helping the poor get the knowledge and skills needed for a globalized and digitized economy. Currently, training requirements can be in lieu of work requirements, but their effectiveness remains questionable.
Many of these enterprises also have a promote from within policy. Such policies are exemplary for their reward of loyal employees, it can lead to a situation where the employee is promoted to a position which require knowledge. In other words, the employee is promoted above the level of their knowledge and experience. Such circumstances can have disastrous consequences for both the employee and the employer.
Many large and well organized enterprises require that their employees receive additional training as promotions in position occur. In some organizations the additional training is provided by the institution itself and in other situations the requirements are for the completion of a degree or technical certification. Often these additional training requirements are repeated several times during the employee’s career. This approach has the advantage that it insures that employees are not promoted above their level of skill and knowledge.
Many employers, especially those which have only a few employees, are completely unaware of the above practice. In actual fact they are delegating the task of knowledge about job content to their employee. This condition is potentially dangerous to the employer and the employee both.
There are several important managerial and job specific skills which most employers are unaware of. The first of these is related to production. The first fact is that all processing systems whether they be invoice processing, information processing or production itself can and should be looked as if they were hydraulic systems. Within the system being reviewed, a choke point or system constraint slows the flow of whatever is being processed. Where these situations occur, removing the constraint will improve the system throughput. Below is an example system. It is modeled on your local water supply.
The non purified source of your public water supply is the the raw material for the water system. The water is next purified, The purification is the production process. The water then travels through the internal distribution system to the water tower. The water tower is the warehouse. The water then moves on demand through the external distribution system to its point of use at your house.
By using the above type of analysis, you can identify system constraints in the various internal systems of any enterprise. Once identified, these problems are often easily solved.
Other functions which are not taken advantage of by small to medium sized enterprises are work measurement standards, developing written methods and procedures, budgeting and purchasing through the use of periodic Requests for Quotation (RFQ). All of the above disciplines can work together to bring about reductions in costs and increases in productivity.
You should start by listing the pros and cons of leaving your present position. Try to be objective and ask your friends or relatives to help. If the good days out weigh the bad, you might find yourself wondering why you thought the grass was greener somewhere else.
Although career training courses can vary greatly, you often walk away with a large amount of skill and knowledge. In fact, depending on the career courses or classes that you take, a degree or a certificate of completion is a great addition to any resume.
One of the many reasons why career training can assist you, is because it can help give you an edge over your competition. Although career training is still popular today, not as many job seekers take advantage of it. This means that you can really use any training to your advantage.
Even if your not quite ready to take the plunge, taking a few office management classes, typing classes, or computer software classes can have a significant effect on your present employment. By taking this approach, your job training is new and fresh, and might make your boss take a beneficial second look at your contributions to the company, and make a job change moot.
As ideal as it is to hear that career training can offer you assistance, when looking to change jobs or careers, you may be curious as to how you go about getting that training, especially if you are still currently employed.
Career training is offered through a number of different career centers or vocational training centers. If you are fortunate enough to live close to a community college, be sure to research the classes that are available. Many of these establishments offer affordable and flexible training classes and courses.