Data Analytics Solutions

Regression Analysis: Examining the relationship between variables.

Analysis of Variance: Assessing variance in different groups.

Time Series Analysis: Modeling data points over time.

Machine Learning Modeling: Developing models for predictions.

Forecasting: Predicting future trends and outcomes.

Classification and Regression: Categorizing and predicting numeric values.

Data Cleaning and Preprocessing: Ensuring data quality and consistency.

Data Mining: Extracting patterns and knowledge from large datasets.

Text and Sentiment Analysis: Analyzing unstructured textual data.

Data Visualization: Creating visual representations for insights.

Descriptive Statistics: Summarizing data through measures like mean, median, etc.

Outlier Detection: Identifying unusual data points.​