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I will do data analysis using python, spss, r studio, jmp, excel, tableau
Bettyann N
Über diesen Service
Welcome to my professional data analysis gig! If you're seeking a dedicated and skilled data analyst, look no further. With years of experience in the field, I offer comprehensive services tailored to meet your specific data analysis needs.
Services Offered:
- Data Cleaning and Preparation
- Exploratory Data Analysis (EDA)
- Hypothesis Testing
- ANOVA, T-tests,Chi Square
- Cluster Analysis
- Regression Analysis
- Logistic Regression
Why Choose My Services?
- Expertise: Proficient in Excel, SPSS, R programming, JMP, Tableau, and RapidMiner
- Quality Assurance: Guaranteed high-quality work delivered within the agreed-upon timeframe.
- Client-Centric Approach: Committed to providing excellent customer service and meeting all your unique requirements.
My Clients
Whether you're a researcher, business professional, or student, I am dedicated to helping you gain valuable insights from your data. Let's collaborate to unlock the full potential of your dataset! Feel free to contact me with any questions or specific requirements, and let's embark on a journey of data-driven success together.
Lerne Bettyann N kennen
Bettyann N
- AusKenia
- Mitglied seitJan. 2024
- Letzte Lieferung2 Jahre
Sprachen
Englisch, Suaheli
Greetings,
I'm Betty, a dedicated Statistician/Data Analyst with a rich background in a wide range of projects spanning five years. My expertise lies in utilizing statistical approaches to tackle diverse challenges. Proficient in statistical programming, data analysis, model validation, regression, hypothesis test and clustering. I bring a unique blend of skills to the table. I specialize in business, healthcare, and research, employing tools like JMP, Excel, Tableau, RStudio and SPSS to ensure precise and insightful results.
FAQ
How do you ensure the accuracy of the data analysis?
I employ thorough data cleaning and validation techniques to ensure the accuracy and reliability of the analysis. This includes handling missing data, outliers, and conducting quality checks.
