The top 4 Research Projects courses you need to take

1. Research Project Writing

4.4

(72)

For most students, doing a research project is one of the hardest parts of studying at university. But it doesn't have to be overwhelming. With the tools taught here, you can take the pressure off yourself and make the journey more enjoyable. In this course, I will walk you through each step of writing your research project with real life examples from published research. By the end of this course, you'll be able to write your Master's, PhD or undergraduate project with confidence, because you will know exactly what's needed in each section. You will…Be able to choose a great research topic, and avoid bad ones which would waste your timeLearn research strategies (like how to search databases) so you can quickly find the information you need to answer your research questionsKnow how to identify the strengths and weaknesses of sources so that you can make important and intelligent comments in your Literature ReviewImpress your reader by writing your Abstract and Introduction like a professional academic, using the same types of paragraph structures and expressionsShow advanced critical thinking skills by learning the 5 established criteria needed when evaluating all types of sourcesAvoid common mistakes made by inexperienced researchersGet clear models you can apply to logically organize each section of your dissertation or research project, from beginning to end. and much, much more! With the tools and tips packed into this course, you can make your research project something you can be proud of for years to come. By the time you have finished the course, you will be able to apply proven models to YOUR writing so that you can enjoy the same success that these models have brought to countless other students in recent years. The course is based on my experience of teaching research and writing skills at world-class universities and to students from across the globe. It gives you a simple, step by step walkthrough of how to write an excellent research project so you can meet the expectations of your university course. Content and overviewThe course has over 30 video lectures, plus practice activities and quizzes to help you remember more by interacting with the material. We will begin by looking at how to get started with your research. You'll learn a) how to decide if your topic idea is good or bad and b) how to write strong research questions. This will help you set off in the right direction, and not wastes weeks on the wrong idea. Then we'll cover the types of sources needed in academic research, so you know what you're looking for, and can find them quickly and efficiently. You will then learn how to evaluate what you read by using 5 criteria which will help you see weaknesses in sources, such as logical errors, and more. This will improve your research by enabling you to recognize which sources you can rely on for support, and which ones to avoid. Next, we'll cover everything you need to know to write the Literature Review. You'll find out what to include and how to structure it. You'll develop the writing skills you need to successfully discuss sources - such as rewording, paraphrasing, summarizing, identifying trends in the literature, and much more. We'll cover referencing, and how to avoid plagiarism, so you know what is allowed and what is not. This could save you from getting into a lot of trouble! Then you'll discover a winning structure for the Introduction and Abstract of your project. You will get a clear, easy to follow template containing a sentence by sentence guide that tells you exactly what to say and where, based on the accepted conventions of published academic writing in English. Finally, we'll cover each of the other parts of a research project: how to write about the methods used and the results, how to discuss the findings, and how to write a powerful conclusion. There's practical exercises and quizzes throughout so you can check your progress. After completing the course, you will have gained a step-by-step understanding of how to produce a top quality research project. A research project is an amazing opportunity to research, learn and explore something you are interested in. But sadly this exciting opportunity becomes hugely stressful for many students because they don't know how to write it in the way that is expected. What's more, many universities don't provide enough training to make clear how each part of a research project should be constructed. So if you are doing research or about to begin soon, my desire is that this course will make your project a much more enjoyable experience. I believe that the tools and step by step training here will help take the pressure off you by giving you the confidence that you know how to write your project. And if you have any questions or difficulties along the way, I'm here to help - you can send me a message to discuss the way forward...

2. Research Methodology: Complete Research Project Blueprint

4.6

(857)

There is a lot to think about as a researcher. What design? How to Measure? How to Analyze?This course will guide you through your entire research project: from formulating an intriguing research question all the way to drawing compelling conclusions. What will you be able to DO after this course?FORMULATE an intriguing but feasible research question. DESIGN a criticism-proof study that minimizes alternative interpretations of your results. MEASURE using the most suitable techniques to maximize reliability and validity. COLLECT DATA while minimizing bias and using the right sample size. ANALYZE your data correctly using free and easy-to-use software even if you have zero knowledge of statistics. DRAW compelling conclusions that you can feel confident about and that you can defend against criticism. What TOOLS will you receive?FULL RESEARCH CHECKLIST to ensure that your research is complete and criticism-proof. CONFOUNDER CHECKLIST to address all holes in your research design. DATA ANALYSIS DECISION CHART to easily select the correct data analysis technique. Links to free and easy-to-use SOFTWARE for data analysis and sample size calculation. QUIZZES to solidify and deepen your understanding of each section. In short, you will get everything you need to complete your research and make it successful. Many people feel lost when they think about research methodology for the first time. I was no exception: I felt like I was blindly stumbling through a forest during my first project. However, I have learned that research does not need to be complicated. In fact, research can be very simple if you know what steps to follow and how to avoid unnecessary complexity. Even high-impact research often uses simple methods that can be mastered by anyone. So, in this course, I want to give you a complete blueprint that guides you through your entire research project. You will learn what to do, how to do it, and how to keep your research simple yet effective. So what will you learn exactly?The Three Elements of an Intriguing Research Question. How to Formulate an Intriguing Research Question. A Simple Template For Your Research Question. How to Define The Variables in Your Research Question. The Four Elements of Strong Methodology. Which Methodology to Use? Qualitative vs Quantitative. How Your Research Design Affects the Interpretation of Your Findings. Inferring Causation - How to Avoid This Common Mistake! The Most Effective Way to Rule out Alternative Explanations. Types of Research Designs. How to Avoid Unnecessary Complexity in Your Research Design. Why You Need to Randomize (And How). Experimental And Non-experimental Designs. Confounders in Research Designs. How to Design Successful Non-Experimental Studies. How to Make Your Variables Measurable. The Two Elements of an Effective Measurement. A Simple Trick To Boost The Reliability of Your Measurements. Types of Measurements - Which One is Right for You?What to Do If Your Variables Cannot Be Measured Accurately (Simple Hack). The Three Elements of Good Data Collection. Data Collection Strategies And When To Use Which. Sample size - How Many Participants Do You Need?The Three Steps of Data Analysis. Master Free And Easy-to-use Software for Data Analysis (JASP). Data Preparation STEP 1: Import and Format Your Data. Data Preparation STEP 2: Deal With Missing Values. Data Preparation STEP 3: Handle Outliers (Tricky). How to Analyze Data with a Numerical IV and Numerical DV (Step-by-step). How to Analyze Data with a Categorical IV and Numerical DV (Step-by-step). How to Analyze Data with a Numerical IV and Categorical DV (Step-by-step). How to Analyze Data with a Categorical IV and Categorical DV (Step-by-step). How to Generalize to a Population. The Three Principles Behind Every Statistical Test. The One Number You Need to Generalize Your Findings. How to Use Inferential Statistics (Step-by-step). Generalizing a Correlation. Generalizing a Difference Between Groups (ANOVA). Generalizing a Difference Between Moments in Time (RM ANOVA). Generalizing in a Mixed Design (RM ANOVA). Generalizing a Continuous Effect on Probabilities (Logistic Regression). Generalizing a Difference Between Probabilities (Chi Square Test). Avoid Mistakes! Two Common Mistakes and How to Prevent Them. The Two Types of Statistical Errors - And How to Minimize Them. How to Select The Right Sample Size (Power Analysis). Master Free and Easy-to-use Software For Sample Size Calculation (G*Power). Sample Size Calculation For Correlations. Sample Size Calculation For ANOVAs. Sample Size Calculation For Logistic Regression. Sample Size Calculation For Chi Square Tests. Three Simple Strategies to Maximize Your Statistical Power. How to Test the Reliability of Your Measurements. How to Test the Validity of Your Measurements. Conducting Your Research: Essential Parts That You Do Not Want to Miss in Any Research Study. Recruiting: How To Find Participants. Incentives: How To Motivate People to Participate. The Four Steps of Interpreting Findings. How to Interpret Results in an Experimental Design. How to Interpret Results in a Quasi-Experiment. How to Interpret Results in a Non-Experimental Design (Categorical IV). How to Interpret Results in a Non-Experimental Design (Numerical IV). How to Interpret Results in a Non-Experimental Design (Categorical IV and DV). How to Interpret a Null-result. How to Fix Methodological Problems Even After Your Study is Already Conducted. And more! In short, you will learn specifically why, what, when, where, and how to perform research. Let me add that I want you to be truly happy with this course. I used to be in your shoes and I want to give you the best possible course to help you succeed. If this course does not deliver on every promise (and then some) you can get a full refund. So go ahead and give this course a test drive. You can take the whole course, enjoy all of its benefits, and still get your money back if you are not satisfied. After you click on the red button, the lectures will guide you through the research process. You will also receive tools such as checklists, decision charts, and free software to make your work easier. In addition, you can ask me questions anytime and can have my full support on every step of the way...

3. User Research Basics: How to plan a UX research project

You want to create meaningful products or services that solve real-world problems or you are designing the next generation user experience. At the beginning of all you have to do research. In this class you learn the basics for preparing your first user research project...