Thống kê SPSS Jobs

I’m working with an Excel workbook that holds a mix of text fields and numerical columns. Before I can move forward with any decisions, the file needs to be professionally cleaned and explored. Here’s what I need from you: • Removing duplicates and errors • Data normalization and transformation • Identifying patterns and insights You’re welcome to use Power Query, Python (pandas), R, or any other reliable tool—as long as the end result is: 1. A fully cleaned Excel file with clear documentation of every change you made (so I can trace the workflow if needed). 2. A short summary—charts, pivot tables, or a brief narrative—highlighting the key trends and unexpected findings you uncover. Send the final workbook plus any scripts or...

I’m gearing up to run a focused market-research study through SurveyMonkey and need an expert who can turn my objectives into a polished, data-ready questionnaire. The goal is straightforward: collect actionable product feedback centered on usability, feature set, and a new music-video sampling concept we’re testing. Here’s what I have in mind. You’ll translate those three focal areas into clear, engaging questions, set up any skip logic or rating scales that will keep respondents flowing smoothly, and configure the survey so that results can be sliced by demographic tags I’ll provide later. Once the draft is ready, you’ll walk me through it, make any tweaks, then push it live from my SurveyMonkey account. A quick primer on reading the analytics dashboa...

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...

I have a set of raw sales data that I need turned into clear, actionable insights. The files are ready for you to dive in, and I’m looking for someone who can clean, explore, and analyze the numbers, then present the key findings in a way that guides smarter decisions. Please outline how you would approach the analysis—methods, preferred tools (Python / R, Excel, Tableau, Power BI, etc.), and what kinds of visualizations or reports you typically deliver. If you see opportunities for deeper trend identification or forecasting, feel free to suggest them; I welcome recommendations that add value. At the end, I’ll need: • A concise report summarizing your findings and recommendations • Supporting dashboards or charts that make the results easy to grasp •...

Headline: Driving Decisions with Data: The BMW Sales Analytics Dashboard Luxury brands don't just sell products; they sell experiences. But behind every premium experience is a massive engine of data. I’ve built a comprehensive BMW Sales Dashboard in Power BI to analyze how one of the world’s most iconic automotive brands performs across different markets. This project isn't just about the "Ultimate Driving Machine"—it’s about the Ultimate Data Insights. Key Insights Captured: Model Performance: Identifying which series (3 Series, X5, i7) is leading the revenue charts. Regional Deep-Dive: Mapping sales distribution across global territories to spot emerging markets. Engine Type Trends: Analyzing the shift from traditional Internal Combustio...

I’m working on a school assignment that must be completed in R Studio and centres on running a linear regression. The dataset is ready to share, and the goal is to: • write a clear, R script that imports the data, checks basic assumptions, fits the linear model, and outputs tidy results • provide concise explanations of each step so I can understand the rationale behind the code • include a brief write-up (Word is fine) that summarises findings, highlights any limitations, and suggests next steps Please keep the code beginner-friendly—base R or tidyverse is fine—and make sure every command is reproducible in R Studio. If you’ve helped students with regression assignments before, I’d love to see a quick sample or hear how you’d struc...

I am a recent graduate and want a structured skill-development course that takes me from absolute beginner to confident practitioner in data analysis. The program should combine theory with plenty of hands-on practice so I can start applying what I learn right away. What I expect • A clear learning path that begins with fundamental concepts (data types, basic statistics, exploratory analysis) and steadily introduces more advanced topics. • Practical exercises and mini-projects using widely adopted tools such as Excel, SQL and Python (Pandas, NumPy, Matplotlib or similar), so I can build a small portfolio along the way. • Short quizzes or checkpoints after each module to confirm I have grasped the material. • Real-world datasets for practice plus guidance on where...

**Academic Publication Assistant – 3 Peer-Reviewed Journal Papers** I am looking for an experienced academic writer/editor to assist with submitting and publishing three research papers derived from my PhD dissertation in Rural Studies (University of Guelph, Canada). **The Three Papers:** 1. *Understanding the Complexities of Socio-Ecological Pressures Facing Indigenous Farming Landscapes: The Case of the Chittagong Hill Tracts, Bangladesh* 2. *AEAS as a Mechanism for Farmer Resilience in the Face of Socio-Ecological Pressures in the Chittagong Hill Tracts* 3. *Governance Reform for Effective Agricultural Extension and Advisory Services in the Chittagong Hill Tracts of Bangladesh: Evidence from Mixed-Methods Research* All three manuscripts are nearly complete and ready for submiss...

I am preparing a publish-ready research paper that answers a provocative question: “Will private jets and yachts ever become as common in India as cars are today?” To make the argument credible, I need a researcher who can combine rigorous economic modelling with clear, journal-style writing. Scope of work You will examine key trends—income distribution, luxury market growth, transportation infrastructure, GDP per capita shifts and the Gini coefficient—then translate those numbers into a probability forecast. Source material must draw on the Hurun India Rich List, The India Wealth Report, leading industry reports, SIAM vehicle data, and macro-indicators from World Bank and IMF databases. Feel free to enrich the study with additional peer-reviewed or proprietary d...

I am at the final stage of my MD thesis and need a fresh, expert eye on three key chapters—Results, Literature Review, and Summary/Discussion. The language is already proof-read; what I need now is someone who can strengthen the logic of my arguments, clarify the narrative flow, and ensure the statistical story is airtight. Results chapter • Check every statistical test for accuracy and appropriateness. • Tighten data-analysis interpretations so conclusions follow naturally from the numbers. • Re-work tables, figures, and wording so findings are presented as clearly and persuasively as possible. Literature Review • Make sure the argument builds coherently from current evidence to my study rationale. • Identify any missing seminal papers or recent ...

My MD thesis draft is complete and now needs a final, professional overhaul so I can submit it with confidence. I’m looking for someone who can move quickly yet meticulously through three key tasks: refine the data analysis section for accuracy and clarity, repair the structural flow (with special attention to the Table of Contents, Results, and Summary/Discussion chapters), and eliminate any remaining plagiarism using Grammarly’s detection tools. The document is already written; I don’t need fresh content—just expert correction and optimisation. Please keep all medical terminology intact while tightening language where necessary, update any statistical tables or figures if errors surface, and re-format headings, pagination, and spacing so the entire thesis aligns ...

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...

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...