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A literature review aims to get insights related to the research problem and dive into the discussion. The structure of literature review is something that needs close attention. Without having a good structure, you cannot ace the milestones, and your literature review cannot stand out. The easiest way to structure literature review is using 5 Cs. These 5 Cs are comprised of cite, compare, contrast, critique, and connect. Each C has a particular set of attributes that help you make a perfect design to structure literature review. If any of the C is found to be missing in your literature review, I assure that you will have to resubmit it after

Exploratory data analysis is very commonly used among data scientist and researchers. It is because it can allow you to get deep insights from a particular dataset. In this way, a data scientist can draw a particular outcome from a dataset with the help of the EDA process. However, it is a very difficult process. Thus, you need to know an effective method before doing this analysis. This article will give you the best method to do an exploratory data analysis.

PhD programs are designed to give students a high-level education in their chosen field. This can be a great opportunity for someone who wants to enter academia and pursue a career in research. However, it's important to know that there are many types of PhD programs, and they all have different costs. If you're interested in getting your doctorate but don't want to spend years paying off student loans, you might want to look into fully funded doctoral programs. These programs offer full tuition coverage for each year of study and a stipend for living expenses. The stipend amount is usually based on the cost of living in the area where the program is located.

Reading and writing go side by side. The more you read about something, the more you get knowledge about how to write that something. Everyone knows that essay writing is not a simple task. It can give you nightmares if you do not know its proper structure, format, and writing style. Therefore, you need to gain knowledge on essay writing and books about essay writing are the easiest and cheapest way to gain this knowledge. By reading such books, you not only expand your knowledge about different essay types but also know how to write them. It is

Data analysis is a practice that aims to make effective decisions after getting in-depth information related to any problem. The process of data analysis includes data collection, modelling and analysis. There are different methods of data analysis based on the type of research. The selection of a particular type of data analysis method is made based on the purpose of investigation. For example, the method of data analysis used for qualitative research is different from quantitative research. The methods used for quantitative research do not work well in qualitative research. Furthermore, the procedure of data analysis also has different steps that assist in finding the best results. As per its importance, this article aims to discuss different methods and procedure of data analysis in detail.

While working on a study, students often get confused in deciding whether they should write the context or background for their study. It is because they do not know the meaning of these terms and their differences. Because of this, they are unable to use them effectively. If you are facing the same thing, you do not worry about it because it is a common problem among students. However, you do not know about the similar and different aspects of context and background of study. It is because these two things are essential to attract readers to your research topic. This article will help you to understand the meaning and purpose of the context and background of study. Moreover, it will explain all the similarities and differences between them so that you will be able to use them perfectly in your study.

Data acquisition is the process of collecting data from a system or device for storage, analysis, assessment, and reporting. Data acquisition (DA) is responsible for setting up systems that collect real-time or historical data from equipment to measure their performance and to detect or anticipate problems. The data is collected in order to make documentation on assets, increase productivity, ensure regulatory compliance, and reduce costs of operation and maintenance. There are several types of data acquisition, but Data Warehouse and ETL systems get the most attention. Understanding what it does and does not is important to know. Here's a look at the different types along with some helpful software solutions to consider. This article will also help you understand what data acquisition is and why it's essential for companies

The internet is full of biased, unreliable, fake, and incorrect news. Biases have now become common in social media. You need to identify the accurate information at the PhD level and ignore the fake or biased for your PhD thesis. It is one of the toughest tasks in the last year of your PhD. Writing a thesis for doctoral students takes about 8-12 months. You need to work hard and make a lot of effort to complete your PhD thesis. During this period, it is necessary that you have to use reliable news articles to get authentic and effective information.

Making a good research plan is essential to collecting research data effectively. It can help you align the whole research process. It will ensure that the whole research team is on the right path. You will stay focused on achieving the right objectives. However, many times, researchers get confused during the process of making a research plan. They don't have the right guidance, so they start without proper planning, deteriorating the research outcomes. This article will give you a proper procedure to follow and make a good research plan for effective data collection.

Preparing a dissertation is a long and tedious process that requires significant effort. At this point, it is critical to understand the common mistakes students do not address while writing their dissertations. Understanding these mistakes can help avoid them to get a high grade for the dissertation. Although this article is mostly directed at doctoral students, many of the recommendations given here can also be useful for other students, especially undergraduates.

Another parameter to improve a rejected research paper is to focus on the aims and scope. Many times, a manuscript gets rejected because it does not work according to the aims and scope of the journal. Your paper needs to be of value or interest to the journal's audience. Otherwise, it is highly unlikely that your paper will be accepted. That is why analyze the aims and scope of your research paper and then read the scope of the published paper in the journal. This will help you ensure that your aims and scope are according to your journal's nature. If your