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This presentation will help you learn the significant differences between qualitative and quantitative research. You will understand what they are and when to use qualitative and quantitative research methods. You will get an idea about their research approach and the scientific methods used. Finally, we'll look at how to analyze data using these methods and see the final report.<br><br>1. What is it? <br>2. When to Use?<br>3. Data Collection<br>4. Research Approach<br>5. Research Samples<br>6. Role of Researcher<br>7. Scientific Method<br>8. Analyzing Data<br>9. Final Report<br>What are the learning objectives?<br>Simplilearnu2019s Data Analyst Master's Program developed in collaboration with IBM will provide you with extensive expertise in the booming data analytics field. This data analytics certification training course will teach you how to master descriptive and inferential statistics, hypothesis testing, regression analysis, data blending, data extracts, and forecasting. Through this course, you will also gain expertise in data visualization techniques using Tableau and Power BI, learning how to organize data and design dashboards. In this data analyst certification online course, a special emphasis is placed on those currently employed in the non-technical workforce. Through this Data Analytics course, those with a basic understanding of mathematical concepts will be able to complete the course and become an expert in data analytics. This learning experience melds the knowledge of Data Analytics with hands-on demos and projects via CloudLab. Upon completing this course, you will have all the skills required to become a successful data analyst.<br><br>Why become Data Analyst?<br>By 2020, the World Economic Forum forecasts that data analysts will be in demand due to increasing data collection and usage. Organizations view data analysis as one of the most crucial future specialties due to the value that can be derived from data. Data is more abundant and accessible than ever in todayu2019s business environment. In fact, 2.5 quintillion bytes of data are created each day. With an ever-increasing skill gap in data analytics, the value of data analysts is continuing to grow, creating a new job and career advancement opportunities. <br><br>The facts are that professionals who enter the Data Science field will have their pick of jobs and enjoy lucrative salaries. According to an IBM report, data and analytics jobs are predicted to increase by 15 percent to 2.72 million jobs by 2020, with the most significant demand for data analysts in finance, insurance, and information technology. Data analysts earn an average pay of $67,377 in 2019 according to Glassdoor.<br><br>Who should take up this course?<br>Aspiring professionals of any educational background with an analytical frame of mind are best suited to pursue the Data Analyst Masteru2019s Program, including:<br>1. IT professionals<br>2. Banking and finance professionals<br>3. Marketing managers<br>4. Sales professionals<br>5. Supply chain network managers<br>6. Beginners in the data analytics domain<br>7. Students in UG/ PG programs<br><br>ud83dudc49Learn more at: https://bit.ly/2SECA5r<br><br>
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What’s in it for you? • What is it? • When to Use? • Data Collection • Research Approach • Research Samples • Role of Researcher • Scientific Method • Analyzing Data • Final Report
What is it? Qualitative Research Quantitative Research Quantitative research helps you generate numerical data and hard facts, by using statistical, logical and mathematical techniques Qualitative research is a method of inquiry that helps you understand human behaviour to find the way people think and feel
When to Use? Qualitative Research Quantitative Research Quantitative research is used if you want to confirm or test something. It could be a theory or a hypothesis Qualitative research is used if you want to understand something such as concepts, ideas, thoughts or experiences
Data Collection Qualitative Research Quantitative Research Data for quantitative research can be collected from different surveys, experiments, observations and content analysis Data for qualitative research is collected from interviews, discussing with focus groups, case studies and via ethnography
Research Approach Qualitative Research Quantitative Research Quantitative research is particularistic and it follows an objective approach as the researcher is not involved Qualitative research is holistic in nature and it follows a subjective approach as the researcher is intimately involved
Research Samples Qualitative Research Quantitative Research Quantitative research depends on random sampling, where a large representative sample is chosen to extrapolate the results to the whole population Qualitative research is based on purposive sampling, where a small sample size is selected to get a thorough understanding of the target concept
Role of Researcher Qualitative Research Quantitative Research Researcher & their biases are not known to participants in the study, and participant characteristics are deliberately hidden from the researcher Researcher & their biases may be known to participants in the study, and participant characteristics may be known to the researcher
Scientific Method Qualitative Research Quantitative Research Quantitative research is conclusive or top-down as the researcher tests the hypothesis and theory with the help of data Qualitative research is exploratory or bottom-up as the researcher generates a new hypothesis and theory from the data collected
Analyzing Data Qualitative Research Quantitative Research Data Analysis for Quantitative research is carried out using tools like SPSS, R and MS Excel Methods and techniques used for Qualitative Research are qualitative content analysis, thematic analysis, and discourse analysis
Final Report Qualitative Research Quantitative Research The final report of Quantitative research has statistical findings with correlations, comparisons and other significant measures The final report of Qualitative research has a native report with contextual description and direct quotations from research participants
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