Estadísticas SPSS Jobs

Hello, I am looking for a technical code review of a Python-based equity index construction and total return calculation engine. The project consists of: Fundamental data processing and scoring (winsorization, sector normalization, percentile filtering) Portfolio construction with multiple constraints (sector caps, regional caps, individual weight caps) Iterative weight redistribution logic Total Return engine with dividend reinvestment and divisor methodology Annual rebalance + monthly drift control Scope of work: Verify mathematical correctness of scoring and normalization. Validate weight construction logic and constraint enforcement (ensure total weight = 100% after caps and redistribution). Review Total Return calculation: dividend reinvestment divisor adjustments rebalance mechanics ...

I need a full-length research paper prepared and shepherded through publication in a Scopus-indexed Q2 journal. The topic is neural-network-based detection of visual defects in woven or knitted textiles, implemented in Python. I am flexible about the framework—TensorFlow, PyTorch, Keras or a comparable library is fine—so long as the final code is reproducible and well-commented. The paper must include a solid literature review, a clearly explained network architecture, an experimental section using a representative dataset of fabric images, and a results discussion that meets the methodological rigour typical of Q2 outlets. I will supply any proprietary images I have; if additional public datasets are needed, please curate them. Deliverables • Draft manuscript formatte...

I’m preparing a full-length research article that applies neural-network models, coded in Python, to detect fabric defects in an industrial setting. The goal is not only to craft a solid, data-driven manuscript but to shepherd it all the way to acceptance in a Q2-ranked Scopus journal. Scope of work The study must cover end-to-end experimentation: sourcing or curating an open or proprietary fabric-image dataset, implementing and tuning the model, analysing results against relevant baselines, and articulating the implications for real-world textile quality control. Once the research is solid, the manuscript needs structuring to meet the target journal’s author guidelines, followed by submission, peer-review revisions, and final proof corrections until the paper receives an on...

At Tolog Institute, we don't just simulate; we build. We are currently transitioning our Tolog-Alpha hardware model from a theoretical framework into a physical 3x3 stabilization grid. I am looking to connect with elite engineers and developers who are experts in: High-speed Data Acquisition: Reaching 10k+ SPS on multi-channel MCU architectures (Arduino Mega/ESP32). Non-linear Dynamics: Phase-locking loops and synchronization of relaxation oscillators. Precision PCB Design: Minimizing EMI for sensitive analog feedback loops. We are pushing the boundaries of the Tolog-Mirga Interface. If you are tired of standard CRUD apps and want to work on hardware that challenges the Nyquist limit and explores phase-space stability, let’s talk. The goal? 100% synchronization. The location? Th...

I’m currently looking for a dependable Virtual Assistant who can assist with a mix of administrative responsibilities and light technical tasks. The role will involve supporting both personal and business activities. . I am especially interested in someone who is comfortable making great recommendations. Initiative, problem-solving ability, and strong organizational habits are highly valued. While the scope of work may change, tasks may involve: Preparing invoices and maintaining simple records Conducting online research and summarizing findings Assisting with operational or administrative tasks Using AI tools to improve outcome Helping implement efficient digital systems Applicants should demonstrate: Strong written and spoken English Experience using Google Workspace (Docs...

I have a set of raw financial figures that first need to be entered accurately, then explored for insights, and finally presented in an interactive format. After the data entry phase, I want you to dive into the numbers, spot trends, and surface any anomalies or opportunities that stand out. All visualisation will be built in Power BI, so you should be comfortable shaping data in Power Query, modelling relationships, and designing clear, executive-friendly dashboards with slicers, drill-throughs, and dynamic KPIs. Deliverables • Clean, well-structured dataset ready for ongoing reporting • At least one interactive Power BI dashboard covering key financial metrics (profitability, cash flow, variance versus budget, etc.) • A brief walkthrough or set of notes explainin...

I’m putting together a short-run, high-impact training series for a group of advanced Power BI users who already build reports daily and are hungry for deeper mastery. The focus is squarely on data modeling strategies and sophisticated DAX techniques that move beyond calculated columns and measures into row-level security, dynamic relationships, optimization, and real-world performance tuning. The assignment is time-critical: I’d like to roll out the first session as soon as we lock in the schedule, so please be comfortable jumping in immediately. Sessions can be live online, but recordings and reusable reference material (PBIX examples, slide deck, and answer keys to exercises) must follow each class. To keep expectations crystal clear, I’ll sign off once I can: &bul...

I will share a clean survey dataset and need a concise descriptive analysis that simply summarizes what the numbers say. Your job is to: • Run standard descriptive statistics (frequencies, means, medians, ranges). • Create easy-to-read tables and clear charts that highlight the key take-aways. • Deliver a brief written summary—plain language, no jargon—that explains the main findings so any stakeholder can grasp them quickly. Any common tool is fine; Excel, Python (pandas, matplotlib, seaborn) or R (tidyverse) all work as long as the outputs are reproducible. I’m looking for accuracy, neat formatting, and a turnaround that respects our agreed deadline.

I’m working through SAS Viya for academic purposes and need a clear, step-by-step demonstration of how to generate reports inside the platform. The focus is on data visualization, not on delivering a production-ready executive or technical document, so think of it as a teaching aid that shows — and explains — best practices. I Will need someone to share 2 hours to teach me about basic, cleansing, visualisation and creating flow What I need from you: • A sample dataset (or instructions to load an open dataset) suited to illustrating charts, graphs, and interactive visuals. • A concise walkthrough that covers the full workflow in SAS Viya: bringing data into Visual Analytics, building visual objects, arranging them on a report canvas, and publishing or export...

I'm seeking an Excel expert to help me analyze customer feedback data using descriptive analysis techniques. The goal is to derive insights on customer satisfaction levels. Key tasks include: - Analyzing pre-defined customer feedback data sets. - Using Excel to perform descriptive analysis. - Visualizing data using various techniques. - Interpreting data to derive insights on customer satisfaction. Ideal candidates should possess: - Proficiency in Excel. - Experience in data analysis. - Familiarity with data visualization techniques. - Ability to interpret and derive insights from data.

I need help with a data analysis homework task using R. Requirements: - Experience with R - Knowledge of statistical analysis and data interpretation - Ability to explain concepts clearly Please provide examples of previous work.

I need a comprehensive benchmarking study that maps out which patient-experience roles a multi-hospital group should maintain, exactly what KPIs each role owns, and how those metrics stack up against recognised best-in-class hospitals worldwide. The finished work should give me: • A clear description of each role (title, core purpose, daily responsibilities) as practised in leading hospitals. • A justified KPI set for every role, showing precise definitions, formulas and recommended targets. • Side-by-side comparison of our current structure and metrics versus benchmark organisations, highlighting performance gaps. • Practical recommendations on governance—who measures, who reports, and how results cascade through the organisation. Please base the an...

We are looking for a skilled professional with strong experience in healthcare data systems and data modeling concepts. The ideal candidate should have hands-on experience working with Electronic Health Records (EHR) data and a good understanding of clinical and Revenue Cycle Management (RCM) domains within hospital systems. Key Responsibilities •⁠ ⁠Work with healthcare data from leading EHR platforms such as EPIC, Oracle Cerner, MEDITECH, or other top-tier EHR systems. •⁠ ⁠Understand and model clinical and RCM entities, including relationships within hospital and healthcare ecosystems. •⁠ ⁠Apply Kimball modeling techniques and core data modeling concepts for analytics and reporting solutions. •⁠ ⁠Support data integration, transformation, and structuring for health...

We are looking for an experienced researcher or data analyst with strong knowledge of Confirmatory Factor Analysis (CFA) to assist with an academic thesis task. The project relates to the following Topic: What are the key influencing mechanisms of South African women's self-undermining and labyrinthine paths to attaining their first promotion? Scope of Work: Perform Confirmatory Factor Analysis (CFA) on the provided dataset. The data is already cleaned and Exploratory Factor Analysis (EFA) has been completed in SPSS. Your task is to test the measurement instrument items, identify low-loading items, eliminate them, and retain the high-loading items. Develop the Results and Discussion section (approx. 2000 words) based on the CFA findings. Follow the format and guidance from a jo...

I’m looking for a seasoned researcher

I am coordinating a large-scale healthcare randomised controlled trial and, now that we are midway through data collection, I need an experienced biostatistics partner who can carry the project through to publication and simultaneously prepare a systematic review on the same topic. For the RCT you will take over live clinical-trial data streams, refine the data collection and management workflow, perform all required statistical analyses, then translate the findings into a clear manuscript-ready report and slide deck. Because the trial is already registered and governed by strict SOPs and GDPR, familiarity with GCP, REDCap (or similar), and reproducible R scripts/SAS code is essential. Alongside the trial work I also need a full systematic review following PRISMA guidelines. You will han...

I’m running several data-science driven market research projects and need a sharp management trainee who can keep the wheels turning while digging deep into consumer behaviour. Your main focus will be consumer research—specifically behavioural patterns—so expect to be involved in everything from shaping survey instruments and sourcing secondary data to translating raw numbers into clear, decision-ready narratives for stakeholders. Day-to-day you’ll help me: • Coordinate timelines, milestones, and cross-functional touch-points so each study stays on track. • Collect and clean behavioural data, whether it comes from surveys, web analytics, or CRM exports. • Perform exploratory analysis in Excel, Python, R or any tool you prefer, then visualise ke...