Watch out for these research topics in Statistics and Big data
Big data is here to stay. But it is no longer a new technology as a lot of firms have already embraced big data; take, for example, Hadoop, which exemplifies an open-source big data project. Think about the following ideas for your next research paper.
- Harness NoSql and Hadoop to accelerate big data processing.
- Swift access to data using in-memory concept.
- Using R programming language for textual data analysis.
- Statistical analyses of psychological dysfunction on pupil’s academic progress.
- Interactive and auto-update of R-plot graphs from a webpage without redrawing.
- Predicting the future using predictive analysis. How big data play a role?
- Smart big data applications to study the past by way of big data.
- Using a circular nonparametric method to estimate entropy.
- Why salaries and expectations of data scientists and data engineers are high?
- Cybersecurity attacks? Merge Hadoop with SIEM (Security Information and Management) application.
- Study on the growth of IoT in various industries and sizable impact of IoT on big data.
- Accelerated Life Testing models: apply stress factors life-testing experiment.
- Extracting hidden patterns and predicting financial markets thru data mining. Using advanced techniques in statistics.
- Using survey sampling tools to understand dyslexia in a specific community.
- Leveraging statistical, computational techniques, neural networks wavelets, and genetic algorithms to solve complex financial issues.
- Decision theoretic method for getting ranking and selection procedures.
- Using advanced mathematical concepts of wavelets in econometric modelling.
- Pharmacodynamics: what are the stochastic models?
- Natural language processing (NLP) in clinical research: Application of methods to anonymize data.
- Correlation between employee engagement and employee performance.
- Analyzing news coverage in politics and identifying patterns.
- Linear method of the equation: compare and contrast of Gaussian elimination and Cholesky decomposition techniques.
- Statistical analysis of criminal offenders.
- Analyzing UK government’s revenue and expenditure.
- Analyzing the trafficking of children and women and negative effects.
- An analysis of the benefits of using information technology in bank services to customers.
- Statistical use of matrices for input and output model and price fixing.
- A statistical evaluation of the road accident rates on a specific period.
- A statistical analysis of reported cases of HIV and STD at a particular period of time.
- A statistical assessment of infant death rates in the state at a certain period of time.
- Statistical regression analysis on country’s GDP – Europe Vs US.
- Health impact of asbestos roof panels: a statistical assessment.
- Statistical study on university pupil’s expenses.
- Statistical analysis on the impact of pesticides on the microflora of soil classifications.
- The contrast on fossil fuels and carbon activated from coconuts—a statistical analysis.
- Critical study on the causes and issues of banking financial distress.
- An analysis of the merits of using financial reports in evaluating bank’s performance.
- Solutions for loan defaults in Indian banks: a detailed analysis.
Other research topics may revolve around Bayesian statistics, matching propensity scores, high-dimensional analysis of data, survival data analyses, and, model selections.
