Students and organisations employ a wide range of data analysis services to help them make sense of their data and derive insightful information. Among the most popular data analysis services that we offer are:
Descriptive Analysis The primary characteristics of a dataset, such as the mean, median, mode, and standard deviation, are summarised and described using this kind of analysis. Additionally, visualisations like scatter plots, box plots, and histograms may be included.
Exploratory Data Analysis (EDA) In addition to identifying outliers and anomalies, this kind of analysis is utilised to find patterns and links in the data. It is usually used to comprehend the distribution and structure of the data as an initial stage in data analysis.
Inferential Analysis Using a sample of data, this kind of study is used to draw conclusions about the population. It may comprise statistical tests like regression analysis, ANOVA, and t-tests.
Predictive Analysis Models that can be used to forecast future occurrences or results are created using this kind of study. It may involve methods like decision tree analysis, logistic regression, and linear regression.
Prescriptive Analysis Based on the conclusions drawn from the data, this kind of analysis makes recommendations for decisions or actions using sophisticated algorithms and models.
Text Mining And Natural Language Processing (NLP) This type of analysis is used to extract meaning from unstructured text data, such as customer reviews, social media posts, and survey responses.
Business Intelligence (Bi) And Reporting Using this kind of analysis, businesses can monitor key performance indicators (KPIs) while making data-driven choices by creating interactive dashboards and reports.
Cloud Solutions And Big Data Large volumes of data are processed, stored, and analysed utilising cloud-based technologies and platforms like Hadoop, Spark, and NoSQL databases.