Statistiques SPSS Jobs

Je cherche un soutien pour accomplir une tâche créative : transformer nos données marketing brutes en enseignements clairs et inspirants. Ma priorité est l’analyse de données ; je fournis les exports (CSV ou Excel) issus de nos campagnes e-mail, réseaux sociaux et publicités payantes. Je souhaite : • un nettoyage rapide des datasets pour éliminer doublons et valeurs aberrantes, • des visualisations percutantes (tableaux de bord, graphiques interactifs ou infographies) capables de raconter l’histoire derrière les chiffres, • une synthèse écrite mettant en avant les KPI clés, les tendances remarquables et des pistes d’optimisation créatives pour nos prochaines a...

I have a dataset of Glasgow property records and need it scrub-clean by removing duplicates identified through two specific fields: the full property address and the owner name. No error-correction or re-formatting is required—this job is solely about locating and deleting those repeat entries that match on those two points, even if other columns differ. You may work in Excel, Google Sheets, Python (Pandas), SQL, or any other tool you trust for reliable deduplication; just return the file in its original format so it drops straight back into our workflow. A brief audit sheet or summary that shows how many records were scanned and how many rows were removed will help me verify the work quickly. Deliverables: • Cleaned dataset with duplicates removed • Short report outlin...

I’m looking for reliable help on a data-analysis assignment that leans heavily on solid technical skills. The task revolves around cleaning, exploring, and drawing clear insights from raw datasets so I can turn them into meaningful, decision-ready findings. If you routinely work in Python (Pandas, NumPy, Matplotlib, or Seaborn) or R, and you’re comfortable building concise reports or dashboards, you’ll feel right at home with what I have in mind. Your workflow should include transparent documentation of the steps you take so I can replicate or extend the analysis later. When you send your proposal, put your experience front and center—briefly outline similar projects you’ve handled, the tools you used, and the measurable outcomes you achieved. That context w...

We are preparing a small validation study for a consumer body-composition device. We need a biostatistician to help review the protocol and analyse test-retest reliability and agreement, including ICC, least significant change / measurement error, and Bland-Altman analysis. The engagement is small and focused, likely around 10–20 hours. Experience with medical devices, measurement reliability, repeated measures or clinical research is preferred. Please share one relevant example of a reliability/agreement analysis you have personally performed.

I'm seeking a skilled researcher to assist with my quantitative dissertation. The primary focus will be on research and data collection. Key tasks include: - Designing and developing surveys - Collecting and organizing data - Ensuring data accuracy and reliability Ideal skills and experience: - Experience with quantitative research methodologies - Proficiency in survey tools (e.g., Qualtrics, SurveyMonkey) - Strong organizational skills - Attention to detail - Prior experience with academic research projects is a plus Looking forward to your proposals!

I need a data-savvy partner to dive into our historical sales data and turn it into an accurate, usable forecasting model. The raw files are already cleaned and stored in CSV format; what I lack is the analytical muscle to translate those numbers into forward-looking insight. The core objective is simple: improve our sales forecasting accuracy so we can plan inventory and staffing with greater confidence. I’m open to whichever toolset you’re most comfortable with—Python (pandas, scikit-learn, Prophet), R, or even advanced Excel/Power Query—so long as the end result meets these acceptance criteria: • A well-documented forecasting model that can be refreshed with new monthly data • A concise report explaining your methodology, key assumptions, and perfor...

I have collected a small set of survey responses for an MBA research assignment that explores inequality within the healthcare sector. The data are already entered in SPSS; what I now need is a clear statistical story that highlights any patterns or trends that emerge. Here is what I am after: • Descriptive statistics first—frequencies, measures of central tendency and dispersion—so that the basic shape of the data is obvious at a glance. • Two specific inferential checks: an ANOVA where it makes sense to compare group means and a Chi-square test on the categorical variables, both run and reported directly from SPSS. The end goal is to spot and articulate meaningful patterns rather than formally test a single hypothesis, so please keep the interpretation narra...

We are preparing a pipeline of machine learning projects that require extra hands for both model development and quality control. Your day-to-day tasks will revolve around three core responsibilities: • Data annotation and labeling of raw datasets so they are ready for model consumption • Model training and tuning in a Python environment (most of our codebase relies on PyTorch and TensorFlow) • Performance evaluation and reporting, including clear documentation of metrics and recommended next steps Because these projects feed directly into production systems, I place a high value on precise English communication and the confidence to defend technical decisions during brief stand-ups. Expect a friendly but fast–paced workflow: tickets are logged in Jira, code is pushe...