Estadísticas SPSS Jobs

I need a comprehensive review of the data analysis and presentation chapter of my mixed methods research. The analysis has been conducted using SPSS. Key Requirements: - Focus on improving presentation clarity - Ensure logical flow and coherence - Check for any ambiguous or confusing sections Ideal Skills and Experience: - Proficiency in SPSS - Strong background in mixed methods research - Excellent academic writing and editing skills - Experience in reviewing data analysis chapters

I have a dataset that needs to come alive inside Excel. Using Pivot Tables as the core engine, I want the workbook to surface trends, outliers and drill-down views that update automatically when fresh data is dropped in. On top of that, I’d like the same model—or its cleaned data layer—pulled into Power BI so I can compare the interactive experience between the two platforms and understand how each handles refreshes, slicers and visual storytelling. Here’s what I need from you: • Build the Excel file so every chart, KPI card and slicer is driven by well-structured Pivot Tables, not hard-coded ranges. • Set up a companion Power BI report that mirrors the logic and lets me explore identical metrics there. • Give me a short screen-share walkthrough...

Psychology grad & HR professional ready to help! HR Admin & Data Entry (Excel, Word, PPT) Content Writing & Articles Psych Statistics: Scoring, Interpretation, & Data Analysis Software: SPSS, LISREL, Mplus Interested? Follow or DM me directly!

I have a data set from comparative studies and I need the full analytical cycle carried out in SPSS right away. The work covers three layers: descriptive statistics to profile the sample, inferential tests to detect significant differences between the study groups, and a regression model to pinpoint predictors of the main outcome. Please import the raw file into SPSS, verify coding, run the analyses, and return a concise report that explains each result in plain language together with the .sav file and syntax so everything is fully reproducible. I am ready to start immediately and would like the first set of tables and figures back as soon as you complete them so we can keep momentum.

I need help with coding and thematic analysis using NVivo for my hermeneutic phenomenology study. Tasks involve: - Assisting with importing and managing data in NVivo. - Helping with coding and memoing. Ideal skills and experience: - Proficiency in NVivo, especially in importing data and coding. - Experience with qualitative research and thematic analysis. - Strong organizational skills.

I am preparing for the official GRE and need guidance and support that will push my current practice score of 300-302 up to the 325-333 range. I want a tutor who has personally achieved a score in that band within the last year, so you can pass along fresh, first-hand strategies rather than dated theory. The help must cover all three sections—Quantitative Reasoning, Verbal Reasoning, and Analytical Writing—because I need balanced improvement, not just a boost in one area. I learn fast when explanations are backed by recent test experience and when I can see the reasoning behind every choice, shortcut, and essay outline. Sessions will be online only, using whatever interactive whiteboard or screen-sharing tools you prefer (Zoom, Google Meet, etc.). Ideally, you will: • D...

Overview We are hiring 3 experienced Data Scientists to participate in a structured data challenge as part of a paid engagement. This is not a generic Kaggle-style competition. You will be exploring an AI-native data platform, analyzing real-world event data, and submitting a structured, reproducible project. If selected, you’ll be compensated for your participation and submission. What You’ll Be Doing Explore a new AI-powered data workspace Analyze user behavior/event data Define your own success metrics Build insights using statistical/ML techniques Submit: A complete reproducible data project A written summary explaining methodology and findings A public project link You will be working individually. Ideal Candidate We’re looking for someone who: Has basic under...

I need an experienced EViews user to run an ARDL model that will let me formally test a clearly-defined hypothesis on a set of financial variables. The data are already collected in raw Excel sheets; what I’m missing is the best-practice workflow that takes those figures from rough form to a defendable econometric result. Here’s what I expect the engagement to cover: • Initial guidance on cleaning and transforming the raw series (log/level choices, missing values, outlier checks). • Stationarity diagnostics, optimal lag selection and the full bounds-test procedure inside EViews. • Estimation and interpretation of the long-run and short-run coefficients that speak directly to the hypothesis. • Delivery of the EViews workfile together with a brief write...

I’m sitting on a sizeable finance dataset and need more than a retrospective look—I want clear, data-driven guidance on what to do next. The first step is a concise summary of the historical numbers so we can anchor the conversation; from there, the real focus is prescriptive analysis that translates those patterns into actionable recommendations. You’ll clean and explore the data, highlight the key historical insights, then build an optimization or scenario-based model that prescribes concrete actions (e.g., portfolio rebalancing, cost-cutting levers, revenue-boost initiatives). Python with pandas, NumPy, scikit-learn—or R with tidyverse—is fine as long as the workflow is fully reproducible and the logic is transparent. Deliverables • Cleaned dataset...

I’ve prepared a straightforward CAD model and now need it run through Ansys to extract trustworthy results. The geometry is already clean, so the task focuses on setting up the case, running the analysis, and presenting the findings. The model complexity is simple, so I’m expecting an efficient turnaround. While I’ll confirm the exact physics with you after we connect, I’m open to structural, thermal, or fluid domains—let me know which area you excel in and which Ansys modules you intend to use. Workbench or APDL are both fine as long as the files load error-free in my 2022 R2 installation. Deliverables • Ansys project file fully set up and solved • Post-processed outputs: contours, plots, and any useful animations • Concise PDF repo...

I need a predictive analysis on a mixed data set. The goal is to predict next day's mood based on today's social media usage. Key Requirements: - Analyze survey data on mood and social media hours - Use predictive modeling techniques - Provide clear, actionable insights Ideal Skills and Experience: - Expertise in predictive analysis - Proficiency with mixed data sets - Strong background in data interpretation and reporting I'm looking for a freelancer who can deliver accurate predictions and insights.

I’m assembling a small pool of Python specialists who can jump in as on-demand interviewers for my hiring pipeline. Every candidate you meet will be applying for a data-science-focused role, so I need someone whose own background is genuinely senior-level in that space—think daily work with pandas, NumPy, scikit-learn, Jupyter notebooks, model deployment, and the usual mix of statistics and SQL that glues real projects together. Your task is to run one-hour coding-test sessions over Zoom or Google Meet. I supply the shortlist of applicants and the calendar invites; you supply the technical depth and the objective scoring. During each session you will: • present or share a prepared data-centric coding challenge (I’m happy to reuse a problem you already trust, or...

I need a clear, insight-driven analysis of the structured data stored in my relational databases. The tables are already cleansed at a basic level; now I want to dig deeper—descriptive statistics, correlations, trend discovery, and any notable anomalies that jump out once the numbers are explored properly. The workflow I imagine is straightforward: connect directly to the database (credentials will be supplied), pull the relevant tables, and run the analysis in Python or R using standard libraries such as pandas/NumPy or dplyr/tidyverse. If you prefer SQL-heavy exploration first, that’s fine too; the goal is to surface findings in a format that’s easy to digest. Deliverables • A concise written report (PDF or Markdown) summarising key insights, supported by clear...

I'm looking for a pure Python RPA expert with a strong background in NLP and computer vision libraries/ models. Your role will involve web scraping, designing neural networks, and automating complex workflows. Patience and a proven track record in alpha testing are essential. Key Requirements: - Proficiency in Python with RPA tools - Experience with web scraping using playwright or Selenium - Designing and implementing neural networks - Expertise in Vision libraries/offline models (without using API), NLP using spaCy - Proficient in computer vision with TensorFlow. Preferred Skills: - ML Ops and training knowledge - Strong problem-solving skills - Ability to handle complex workflows Ideal Candidate: - Proven experience and portfolio - Patient and methodical approach Looking forwar...