Myself Sadia, An Experienced Data Analyst with a proven track record in transforming raw data into actionable insights. Skilled in a wide range of statistical techniques, including:
- Descriptive Analysis: Summarizing and understanding data characteristics through measures like mean, median, mode, standard deviation, and visualizations like histograms, box plots, and scatter plots.
- Inferential Analysis: Drawing conclusions about a population based on sample data using techniques like hypothesis testing, confidence intervals, and ANOVA.
- Time Series Analysis: Forecasting future trends and patterns in data over time using methods like ARIMA, exponential smoothing, and decomposition.
- ANOVA: Analyzing differences between groups using techniques like one-way, two-way, and repeated measures ANOVA.
- Regression Analysis: Modeling relationships between variables to predict outcomes using techniques like linear, logistic, and multiple regression.
- Correlation Analysis: Measuring the strength and direction of relationships between variables using correlation coefficients like Pearson's r and Spearman's rho.
Proficient in statistical software:
- R
- Jamovi
- Jasp
- Stata
- statkey
- Python (Pandas, NumPy, SciPy, Statsmodels)
- SPSS
- SAS
- Excel
Committed to:
- Delivering high-quality, accurate, and insightful data analysis.
- Collaborating effectively with clients to understand their needs and objectives.
- Utilizing best practices in data cleaning, preparation, and visualization.
- Staying up-to-date with the latest advancements in data analysis techniques and tools.
Available to assist with:
- Academic assignments: Undergraduate and graduate-level coursework in statistics, data analysis, and research methods.
- Research projects: Supporting data collection, analysis, and interpretation for research studies.
- Business applications: Analyzing business data to inform decision-making and identify opportunities.
Let's work together to turn your data into valuable insights.