SPSS Statistics Jobs

I am looking for an experienced data analyst / ServiceNow expert to help transform CMDB data into actionable insights and predictive analytics. The CMDB currently receives data from three sources: • Network devices • Software applications • Servers / hardware assets ⸻ Scope of Work: 1. Data Consolidation & Preparation • Review and consolidate CMDB data • Clean and standardise datasets for analysis • Ensure data is usable for reporting and modelling 2. Predictive Analysis • Build simple predictive models to identify early warning signals such as: • Capacity issues • Performance degradation • Configuration drift 3. Dashboards / Reporting / Alerts • Create easy-to-use outputs for operations teams (e.g., dashboard...

I will supply you with a DXF mesh of a newly placed slab and need a clear, standards-based report on its surface quality. The task is to analyse floor flatness (FF) and floor levelness (FL) across three separate test profiles, then present: • Overall FF and FL numbers for the whole slab • Individual FF and FL values for each of the three runs • Any noteworthy high or low spots that exceed ASTM E1155 limits Please follow ASTM E1155 throughout the calculations and reference the relevant sections so I can cross-check the results later. The final deliverable must be a Word document that includes both graphs and diagrams illustrating the measurement lines, point distribution and deviation trends. Embed any raw tables or intermediate data behind the visuals so I have full...

I need a skilled data scientist to perform thorough descriptive analysis on an existing dataset. The goal is to surface key trends, summary statistics, and clear visual insights that non-technical stakeholders can quickly grasp. I will supply the raw data once we agree on the engagement; it is already cleaned enough for immediate exploration, but I’m open to your recommendations if additional preprocessing will strengthen the final story the numbers tell. Typical tools such as Python (pandas, matplotlib, seaborn), R (dplyr, ggplot2), or even Power BI/Tableau are all acceptable—please work in whichever environment lets you deliver crisp, reproducible results fastest. Deliverables • Concise written report (PDF or Word) outlining findings, notable patterns, and any unexpec...

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I have a complete dump of our sales data and need it translated into clear, actionable insight on customer preferences. The sole focus is understanding customer behavior, not broad market trends, so every cut of the data should point back to what drives people to choose one product, bundle, price point, or channel over another. The raw files can be delivered in whichever structure you prefer—CSV, SQL, or a direct BI connection—and I am open to Python, R, Power BI, Tableau, or a combination that will surface patterns quickly. The end goal is to know, with evidence, which product attributes and buying contexts most influence a purchase so that future campaigns and merchandising decisions can be laser-focused. Deliverables • A cleaned, well-documented dataset ready for re...

I have a numerical dataset that needs a careful scrub before any sense can be made of it. The main headache right now is outliers—they are skewing the story the numbers are trying to tell. I need you to detect, diagnose, and treat those extreme values using an approach you can justify statistically (Python / Pandas, R, or even advanced Excel are all fine as long as the method is transparent and reproducible). Once the data are healthy, I want straightforward descriptive statistics—think clear measures of central tendency, dispersion, and a concise written interpretation that highlights anything interesting the cleaned data reveals. No forecasting or trend-spotting models this time; just an honest summary of what the numbers say after the noise is removed. Deliverables: •...

I need an ACTA-certified Tableau trainer to craft and deliver a programme that dives deep into advanced data-visualization techniques. The audience consists of experienced Tableau users who already handle calculations, data modelling, and dashboard assembly day-to-day; they now want to push visual storytelling to a more sophisticated level. The schedule is flexible—there is no hard deadline—so the emphasis is on depth, polish, and reusable material rather than speed. Sessions may run online or on-site in Singapore, whichever you prefer. Deliverables • A detailed curriculum with clear learning objectives focused on high-impact visual design. • Slide deck, demo workbooks, and curated datasets that open cleanly in Tableau 2023.x (or later). • Two hands-on as...

My research project has advanced to the point where a full, publication-ready paper is required, yet several pieces still need to be pulled together into a clear, persuasive narrative. I will share my existing notes, preliminary data, and any partial drafts I have; from there, the goal is to shape everything into a complete research paper that can stand up to peer review. The work will involve refining the research question if necessary, integrating relevant literature, confirming the soundness of my methodology, interpreting the data I provide, and composing each section—from abstract to references—in the agreed-upon citation style. I expect a polished manuscript in Word or Google Docs, fully formatted and accompanied by an accurate reference list. To make collaboration smoo...

I need an ACTA-certified Tableau trainer to craft and deliver a programme that dives deep into advanced data-visualization techniques. The audience consists of experienced Tableau users who already handle calculations, data modelling, and dashboard assembly day-to-day; they now want to push visual storytelling to a more sophisticated level. The schedule is flexible—there is no hard deadline—so the emphasis is on depth, polish, and reusable material rather than speed. Sessions may run online or on-site in Singapore, whichever you prefer. Deliverables • A detailed curriculum with clear learning objectives focused on high-impact visual design. • Slide deck, demo workbooks, and curated datasets that open cleanly in Tableau 2023.x (or later). • Two hands-on as...

I need a freelancer to perform exploratory data analysis on a large, structured dataset (CSV or Excel). The primary goal is to summarize the main characteristics of the data. Key requirements: - Summarize dataset characteristics - Work with large structured datasets - Deliver insights quickly Ideal skills: - Proficiency in data analysis tools (e.g., Python, R, Pandas) - Experience with large datasets - Strong statistical knowledge - Ability to meet tight deadlines Please provide examples of previous similar work.

I have already run the basic analyses for my thesis, but the descriptive statistics section has been misinterpreted and now reads inconsistently with the underlying numbers. I need a statistician who can step in quickly, check the raw data and formulas, and then rewrite the corresponding narrative so the results are stated accurately. You will have access to my dataset (CSV and SPSS formats) plus the current draft of the chapter. Your task is to verify every mean, median, SD, range and percentage I report; confirm that the interpretation matches the figures; and flag any wording that over- or under-states what the data show. Deliverables: • A clean set of corrected tables (Word or Excel) • A revised results write-up for the descriptive statistics subsection, ready to pa...

I have a survey-based dataset that needs to be taken from raw responses all the way to a clean, publication-ready methodology and results section. Specifically, I must present descriptive statistics highlighting the minimum and maximum values for each key variable, run a straight linear regression to explore relationships I will detail once we start, and round everything off with the appropriate hypothesis tests. All work has to be carried out in SPSS, and I would like the syntax saved so the analysis is fully reproducible. To keep us both aligned, here is what I expect to receive: • A concise methodology write-up describing data preparation, variable coding, the descriptive approach, the linear regression model, and the hypothesis-testing framework. • A results section with ...

I have a full clinical-trial data pack—protocol, CSR tables, and investigator summaries—and I need it shaped into a publication-ready research paper. You’ll take the raw material, weave an evidence-based narrative, structure it to CONSORT standards, and ensure every section (abstract to conclusions) is medically sound, statistically accurate, and formatted for a Tier-1 journal submission. Key deliverables: • Complete manuscript (≈3,500–5,000 words) with title page, structured abstract, main text, references, and figure/table legends • Clear, concise data interpretation rooted in GCP principles • Reference list formatted to journal style (EndNote, Zotero, or Word) • One round of revisions after peer feedback You’ll work directl...

I need a freelancer to perform exploratory data analysis on a large, structured dataset (CSV or Excel). The primary goal is to summarize the main characteristics of the data. Key requirements: - Summarize dataset characteristics - Work with large structured datasets - Deliver insights quickly Ideal skills: - Proficiency in data analysis tools (e.g., Python, R, Pandas) - Experience with large datasets - Strong statistical knowledge - Ability to meet tight deadlines Please provide examples of previous similar work.

I am looking for a Marathi speaking data analysis trainer who will help college students build a rock-solid foundation in Microsoft Excel. The training should be step-by-step and take them through core concepts and, most importantly, give students plenty of hands-on practice so they can apply what they learn immediately in practice projects. The three skill areas I want the trainer to focus on are: • Formulas and Functions • Data Visualization (charts, conditional formatting, sparklines) • Pivot Tables (building, filtering, summarising) The training will be for 60 hours (2 hours per day) and will go on for one month. By the end, I want students to be able to import a raw dataset, clean it, analyse it with appropriate formulas, summarise it in a pivot table, and present...

This project focuses on applying data analytics techniques to solve a real-world business problem involving marketing performance optimization. The main objective was to determine the most effective advertising platform and predict future conversions using statistical and analytical methods. The project begins with defining a clear business problem, followed by collecting and cleaning campaign performance data. Exploratory Data Analysis (EDA) was conducted to understand patterns, trends, and key variables affecting performance. A/B testing was implemented to statistically compare different advertising platforms and determine which one performs better in terms of engagement and conversions. This helped in making evidence-based decisions rather than relying on assumptions. Further, regres...

More details: What type of statistical analysis are you looking to perform? This question was skipped by the user What type of data will you be working with? Patient records What specific outcome are you looking to measure with the patient records? Patient demographics analysis

analysis of variance (ANOVA) and regression analysis. Key requirements: - Analyze numerical and categorical data - Identify relationships between variables - Provide detailed interpretation of results Ideal Skills: - Proficiency in statistical software (e.g., R, Python, SPSS) - Strong background in statistics and data analysis - Experience with complex datasets - Ability to explain statistical concepts clearly Please ensure you have relevant experience and skills.