Phoenix - Your AI AssistantI will perform statistical data analysis with r python SAS
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What you get with this Offer
I have 5+ years of experience in data analysis with R, statistical modeling, machine learning, and data visualization across various domains. I provide high-quality statistical evaluation and data-driven insights.
What I Offer:
Data Cleaning and preparation for analysis with R and python
Statistical Modeling including regression and hypothesis testing
Machine Learning for predictive insights
Data Visualization using graphs and tables
Interpretation of Results with detailed reporting
My Expertise Covers:
Descriptive Statistics (mean, SE, variance, etc.)
Regression Analysis (linear, logistic, multinomial, etc.)
Longitudinal data analyses (fixed effects, random effects)
Hypothesis Testing (t-test, ANOVA, chi-square, etc.)
Bayesian Inference
Casual Inference & Predictive Modeling
Clustering & Multivariate Analysis
Data Visualisation (ggplot, matplotlib, seaborn, plotly)
Interpretation of results
Tools I Use:
Python
R
Stata
Excel
SQL
Why Choose Me?
Experienced Analyst
High-Quality Work
Timely Delivery
24/7 Availability
What the Freelancer needs to start the work
Project Overview: A clear description of your project goals or hypotheses.
Data Files: The complete dataset in a standard format (CSV, Excel, SPSS, etc.), cleaned and organized if possible.
Data Details: Info on how the data was collected, key variables (e.g., types, distribution), and any structural notes.
Analysis Focus: Specific questions you'd like answered or analysis goals, plus any preferred methods (e.g., regression, ANOVA).
Software Preference: Let me know if you have a preferred analysis tool.
Confidentiality & Review: You may anonymize data if needed; I will review the data to ensure relevant analysis.
Timeline & Instructions: Expected deadlines and any additional preferences like visualization style or reporting format.