Statistical Analysis Jobs

I’m running a systematic investigation into how prompt phrasing influences in-context regression performance. The work spans six separate axes, and for this engagement I want you to concentrate on two of them—Data preprocessing and Evaluation metrics—while keeping the other axes in mind so our findings remain extensible. The core set-up centres on text-based prompts only; no visual or multimodal inputs will appear in this round. All experiments will target polynomial regression tasks, so the prompts, data splits, and metric choices should reflect the non-linear nature of the underlying relationships. Here is what I need from you: • Curate or generate a clean, well-documented dataset suitable for polynomial regression, then outline the preprocessing steps you apply...

For 3 small studies of less than 100 respondents each, I would like: 1) feedback on question wording and order 2) feedback on question response options 3) Guidance on working with SurveyMonkey or other similar platforms 4) Guidance on data analysis: statistics to request and how to interpret them

I am seeking an experienced systematic-review researcher to comprehensively revise and finalize a manuscript and its supplementary files. The work must follow PRISMA 2020 and report only procedures that have actually been completed and verified. Scope of work: 1. Verify and standardize the review period as 2016–2025 throughout the title, abstract, Methods, Results, tables, PRISMA diagram, and supplementary files. 2. Verify the searches in PubMed/MEDLINE, Embase, and Web of Science. Provide: * Exact database-specific search strings; * Search dates and limits; * Search histories or exports; * Records identified from each database; and * Confirmation that eligible 2025 publications were systematically searched. If the original searches cannot be verified, they must be rerun and doc...

I need a marketer who can get out into the real world and run customer-facing surveys for market research purposes. Your task is to approach targeted consumers, administer a brief questionnaire, and return with clean, well-organized data that helps me understand buying motivations and pain points. To make this work smoothly, you will: • Design or refine a concise survey script (10–12 questions max). • Identify and visit appropriate high-traffic locations that match my ideal customer profile. • Collect at least 200 completed responses, ensuring demographic diversity. • Enter all results into a shared Google Sheet and include basic summary statistics (response counts, key themes). I’ll provide the target persona, suggested venues, and an example ...

I am compiling a literature review on how microplastics move through the marine food chain and ultimately reach the fish and seafood that people eat. The review must stay tightly focused on the biological and ecological effects of these particles once they enter commercially important species. Scope • Survey peer-reviewed papers from the past 10 years (earlier landmark studies may be included where unavoidable). • Map the pathways: ingestion by lower-trophic organisms, bioaccumulation, trophic transfer, and final residue levels in edible tissues. • Analyse documented physiological impacts on the fish themselves and any reported implications for human health. • Highlight knowledge gaps and propose avenues for further research or mitigation work. Deliverabl...

I manage a fast-moving quantitative fund and I’m expanding the team on two fronts: deep fundamental research and purpose-built trading technology. RESEARCH ANALYSIS Your core mission is digging into papers and reports—academic studies, sell-side notes, 10-Ks, industry white papers—and pulling out the insights that move markets. I lean heavily on options and futures, so I’ll look to you to translate those findings into structured spread ideas, monitor relevant news flows, and keep a tight watch on sector-level fundamentals. Speed matters, but rigor matters more. This role requires daily updates and reports. SOFTWARE ENGINEERING In parallel, I need an algorithmic trading stack that can ingest live market data, run ML-driven models, execute orders, and log performanc...

I run a small, fast-moving operation and need a sharp mind beside me every weekday from 8 a.m. to 4 p.m. Eastern (New York) time. During those hours you will sit at your computer, dive into live sources of financial data, and turn raw numbers into clear, actionable findings I can use immediately. Your main focus is research and analysis. Strong data-analysis skills are essential—you should feel at home in Excel or Google Sheets, able to spot patterns quickly, calculate metrics on the fly, and sanity-check results against multiple sources. If you already dabble in tools like Python, R, Power BI, or specialized market platforms, that’s great, but your willingness to learn new techniques is even more important. Discipline, punctuality, and the stamina to stay engaged on screen f...

I am building a full-featured data analysis tool and am looking for a Python developer who can take it from concept to deployment with clean, well-structured, and fully tested code. Scope of work The core of the project is a pipeline that handles • data cleaning • data visualization • statistical analysis All stages should be written in Python using Pandas for wrangling, Matplotlib for visual output, and Scikit-learn where modelling or advanced statistics are required. I want the codebase organised for long-term maintainability, with clear documentation, type hints where useful, and unit tests that cover critical paths. Beyond core development I will need help with debugging, automated testing, and packaging/deployment (a Docker image or similar solution that le...

I am building an end-to-end Python solution that automatically ingests, processes, and reports on financial data pulled from CSV files, SQL databases, and live APIs. Clean, well-structured, and easily maintainable code is essential because the system will be extended over time. Scope of work You will take the project from initial design through deployment. That includes setting up the data-collection pipeline, writing transformation and analysis modules, implementing robust error handling and logging, building unit / integration tests, and preparing a production-ready deployment script or container. The stack is entirely Python, so I expect idiomatic use of tools such as pandas, SQLAlchemy, asyncio, and, where it adds value, lightweight AI/ML components for anomaly detection or forecast...

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I need a comprehensive data preparation and transformation for a mixed dataset, both structured and unstructured. The project will also involve cleaning the data and creating insightful visualizations. Requirements: - Introductory content for the report to briefly describe the dataset - Use of Power BI for: - Visuals like spotlight/doughnut charts, decomposition trees, etc. - Inferences from bookmarks to be included in the report The ideal freelancer should have: - Proficiency in Power BI - Strong skills in data cleaning and transformation - Experience with both structured and unstructured datasets - Ability to create clear, informative visual reports Looking forward to your bids!

I need a comprehensive data preparation and transformation for a mixed dataset, both structured and unstructured. The project will also involve cleaning the data and creating insightful visualizations. Requirements: - Introductory content for the report to briefly describe the dataset - Use of Power BI for: - Visuals like spotlight/doughnut charts, decomposition trees, etc. - Inferences from bookmarks to be included in the report The ideal freelancer should have: - Proficiency in Power BI - Strong skills in data cleaning and transformation - Experience with both structured and unstructured datasets - Ability to create clear, informative visual reports Looking forward to your bids!

I am undertaking a study on how artificial-intelligence-driven learning analytics and feedback can create highly personalized learning experiences for students who are pursuing innovation and entrepreneurship subjects. The goal is to map current academic and industry knowledge, surface successful use-cases, and spot gaps where new products or pedagogical approaches could emerge. Your work will centre on four key activities: • A systematic literature review (peer-reviewed journals, conference proceedings, and authoritative white papers from the past five years). • Comparative analysis of leading AI analytics platforms or prototypes already influencing student learning in entrepreneurship courses. • Identification of measurable student outcomes (engagement, retention, crea...

I am looking for an experienced professional to assist with **Monte Carlo Schedule Risk Simulation and construction project risk analysis**. I currently have questionnaire survey data related to **Supply Chain Management (SCM) delays in residential construction projects**. I need assistance with analyzing the survey data and developing a suitable schedule risk simulation based on the findings. The work may include: * Analysis and ranking of SCM delay factors * Identification of relevant factors for simulation * Development of a suitable construction project schedule/model * Conversion of delay factors into simulation inputs * Monte Carlo Schedule Risk Simulation * P50, P80 and P90 completion-date analysis * Sensitivity/tornado analysis * Scenario analysis, where appropriate * Tables, gr...

I’m finalising a Master’s thesis in Luxury Brand Management and I need support shaping the research question, refining the literature review, and laying out a solid data-collection plan. The core of the project is consumer behavior: why affluent consumers choose one luxury label over another and how that preference evolves. My study will blend both primary and secondary data. I will gather first-hand insights through an online survey, then triangulate those findings with existing academic work, industry white papers, and relevant market reports. What I want from you is clear, targeted guidance that keeps every element—question design, sampling strategy, and statistical analysis—aligned with current best practice in marketing research. Key outcomes I expect: ...

I need an expert genealogist to trace my lineage and ancestry specifically in Australia. The focus should be on the period from 1950 to present. Key Requirements: - Expertise in Australian genealogical records and resources - Ability to conduct thorough research and verify information - Experience in tracing recent ancestry and lineage Ideal Skills and Experience: - Professional background in genealogy - Access to Australian databases and archives - Strong analytical and investigative skills - Attention to detail and accuracy Please provide examples of previous work and any relevant qualifications. Request for Quotation Specifically, we would like to trace the family (especially any living relatives) of Florence M. Lockyer (1880 to 1920), the sister of my wife’s maternal grandmo...

I need a complete PhD thesis on "Global Pharmacovigilance in Contrast: ICH Safety Standards Across High- and Low-Resource Settings". Key components to include: - Comprehensive literature review - Detailed data analysis - Well-structured conclusions and recommendations Ideal skills and experience: - Expertise in pharmacovigilance and safety standards - Strong research and analytical skills - Experience in writing PhD-level theses in science and technology

Description I am looking for someone experienced in EEG data analysis using MATLAB and FieldTrip to provide analysis support for a university research project investigating the effects of attentional load on multisensory integration (MSI). I have already completed data collection and have the raw EEG data in BrainVision format (.eeg, .vhdr and .vmrk) for multiple participants. The experiment includes auditory (A), visual (V) and audiovisual/bimodal (AV) stimuli. Participants also completed an N-back manipulation involving 0-back, 1-back and 2-back conditions, which is being used to manipulate attentional/cognitive load. The overall aim is to investigate whether multisensory processing/integration changes depending on attentional load, using behavioural and EEG measures. I am looking f...

I need a MATLAB expert to analyze EEG data from a research experiment. Key requirements include: - Experience with various EEG analysis techniques, especially ERP, frequency, or connectivity analysis. - Proficiency in EEG signal preprocessing like filtering, artifact removal, normalization, and epoch extraction. - Ability to handle and interpret complex datasets. - Strong background in neuroscience or related fields is a plus. Please provide detailed analysis methods and tools you plan to use in your bid.

I’m looking for thorough competitor analysis within the healthcare space to guide an upcoming strategic review. I will supply a short list of direct and indirect competitors; from there I need you to dig deep and turn raw data into clear, decision-ready insight. Your task covers the full research cycle: gathering publicly available information, identifying product and service lines, pricing models, key differentiators, recent funding or partnerships, market share indicators, and any patient or customer sentiment you can source from review sites or social channels. Feel free to tap industry databases, annual reports, SEC filings, Statista, PubMed, and similar resources—whatever yields verifiable facts. Please structure findings in a concise slide deck or report accompanied by ...

I have a dataset that needs a focused trend analysis and I’d like your help with the data cincse side of things. What matters most to me is uncovering clear patterns, explaining what drives them, and presenting the results in a way that makes next-step decisions obvious. Here’s what I have in mind: • Work through the raw data, clean it where necessary, and structure it for analysis. • Carry out the core trend analysis, highlighting any seasonality, upward or downward movements, and outliers that deserve attention. • Summarise the findings visually—charts, dashboards, or other intuitive visuals—so stakeholders can grasp the story at a glance. • Deliver a concise report (code notebook or slide deck) that walks through your methodology and ke...

I have a sizeable collection of raw text that I’d like to run through Handshake AI so I can turn the scattered words into solid, data-backed insights. The core of the job is to configure Handshake AI for text data analysis, plug in my dataset, and return an easily digestible report of the findings. Here’s what I need from you: • Connect to or set up the Handshake AI workspace and verify that it can ingest my text files without format issues. • Build the processing pipeline that lets me drop in new documents at any time and instantly rerun the analysis. • Deliver a concise report that highlights the most significant patterns you uncover—frequency distributions, keyword clusters, or any other stand-out metrics Handshake AI surfaces—along with the ...

I have already screened and extracted data for 36 studies in Covidence; the export sits in a single CSV. Before any statistics can run, that file still needs to be cleaned and mapped to RevMan-friendly fields, then loaded into RevMan to generate my descriptive meta-analysis outputs. Here’s what I need from you over the next two weeks: • Re-format and clean the CSV so study IDs, comparison arms, outcome names, effect sizes, and variances align with RevMan 5.4 (or newer) requirements • Enter the data into a new RevMan project, structuring all comparisons and outcomes as per my protocol • Produce the standard descriptive outputs: forest plots, overall effect estimates, heterogeneity statistics, and any RevMan summary tables • Return the completed .rm5 file pl...

I have built a rules-based equity-options strategy that has performed reasonably well, but I know it can be tighter on risk management and more consistent on month-to-month returns. I’m ready to hand the logic, transaction history and my current Python back-tester over to a fresh set of eyes so the whole approach can be stress-tested, tuned and benchmarked. Here’s what I need from you: • Review my existing entry, exit and position-sizing rules (all documented in code and plain English). • Propose precise tweaks or entirely new modules—volatility filters, dynamic hedging, multi-leg adjustments, whatever the data justifies—and show why they improve expectancy. • Implement the changes in the same Python environment (pandas, NumPy, yfinance, Zipline...

I have already extracted all modal-verb tokens from two learner corpora—one tagged “Intermediate,” the other “Advanced”—and calculated their normalized frequencies (per 10,000 words). What I still need is a statistically sound comparison of those frequencies. Please run log-likelihood (LL) tests in SPSS to determine whether the differences between the two proficiency levels are significant. If the LL results indicate that additional inferential statistics would clarify the picture—say, a follow-up effect-size measure or confidence interval—you may include them, but keep the focus on the LL output itself. Deliverables • SPSS syntax file and/or detailed steps so I can replicate the procedure • The SPSS output tables and a brief ...

Hi Team, We have a request for UK research for one of our routine client. Please let us know your feasibility, costs and timeline for the same. SUV Type B – 100 Sample Size Car-model UK HEV Toyota Yaris Cross 25 VW T-Cross 25 Ford Puma 10 BEV BYD Dolphin 20 Ford Puma 10 Jeep Avenger 10 Total of 3 interviews from above quant interview will need to schedule for qual interviews either in HOME (if possible) if not at the venue. SUV Type C – 100 sample size Car-model UK Toyota RAV4 30 Hyundai Tucson 30 Geely EX5 15 Kia EV5 25 Total of 3 interviews from above quant interview will need to schedule for qual interviews either in HOME (if possible) if not at the venue. 1. We have some flexibilities in changing the car models to same car type (but give the priority to the m...

I have a dataset that needs to be explored in Excel to uncover clear, actionable marketing insights. Your task is to clean the data, build the right pivot tables or Power Query steps, and present trends, segments, and key performance indicators in easy-to-read charts and summaries. What I expect • A tidy, well-documented workbook with formulas or macros that I can reuse. • Dashboards or pivot charts highlighting customer segments, campaign performance, and any anomalies worth noting. • A short written summary (one page is fine) explaining the findings and suggested next steps. To help me choose quickly, please attach examples of previous work where you performed similar Excel-based marketing analysis. Screenshots or a brief description of the outcome are enough; no sen...

Programming Foundations Trainer Role purpose Teach every student to write, read, test, and debug real programs. The emphasis is on reasoning about code, working methodically from evidence, and detecting plausible defects in human- or machine-generated work. Topics you will lead 1. Values, types, and expressions 2. Control flow 3. Functions and decomposition 4. Collections and iteration 5. Strings and structured text 6. Errors, exceptions, and failure 7. Files, input, and output 8. Objects and data modelling 9. Testing your own code 10. Debugging methodically 11. Reading and correcting generated code 12. Building a complete program end to end Subject-specific profile - Strong command of at least one beginner-appropriate general-purpose language, preferably Python, and the ability to se...

I’m looking for an experienced researcher to create and set up an online survey that measures brand awareness. The study must zero in on how respondents perceive our product’s usability, design, and performance, so every question should map clearly to one of those three pillars. The finished survey needs to feel quick—no more than five minutes to complete—yet still deliver statistically useful insights. I’d like a balanced mix of scaled, multiple-choice, and a few short open-ended questions, all written in neutral, non-leading language. You may build it in SurveyMonkey, Google Forms, Typeform, or any comparable platform you’re comfortable with; mobile-friendly formatting is essential. Deliverables: • Draft survey document for review, showing quest...

I need a data-savvy partner who can take my raw dataset and run a thorough descriptive analysis, then translate the numbers into clear stories about the trends and patterns hiding inside. I’m interested in measures such as frequencies, central tendency, dispersion, and time-based or categorical comparisons that highlight shifts over periods, segments, or any other meaningful dimension you discover. Here is what I’d like to see when the work is finished: • A cleaned, well-documented dataset (CSV or XLSX) • A concise report (PDF or Google Doc) that walks me through your methodology, key findings, and visual evidence—think charts, heat maps, or dashboards created in Python (pandas, matplotlib, seaborn), R (tidyverse), Excel, or Tableau, whichever you’re mo...

I have a collection of patient medical records already cleaned and stored as CSV files, and I’m ready to turn them into an accurate diabetes-risk prediction tool. My preference is to work with a Random Forest model because of its balance between interpretability and performance on tabular health data. Your task is to take these CSV datasets, craft the full machine-learning pipeline, and return a model that can reliably identify individuals at elevated risk for diabetes. Along the way, please document the preprocessing steps, feature engineering choices, and the metrics you use so I can reproduce and fine-tune the work later if needed. Deliverables I expect: • Complete, well-commented Python code (preferably in a Jupyter notebook) that ingests the CSV files, performs prep...

I’m commissioning an in-depth research project on Eastern Europe that zeroes in on current political dynamics and, in particular, how key actors in the region are positioning themselves vis-à-vis the United States and the European Union. Scope • Map recent shifts in party politics, electoral trends, and leadership changes across the principal Eastern European states. • Analyse official statements, policy papers, voting records, and media narratives that reveal each state’s stance toward Washington and Brussels. • Highlight flash-points or cooperation areas that could alter the balance of influence over the next 12–24 months. Preferred Approach I value evidence-based insight over news recaps. Draw on academic journals, think-tank reports...

Please don't bid if you are not live is US or Canada. I am building a multi-year position in carefully chosen altcoins and want a trader who can shape every move with disciplined technical analysis. The goal is simple: identify solid entry zones, manage risk as the market evolves, and outline realistic exit targets that let gains compound rather than vanish in volatility. Here is what I need from you: • A shortlist of altcoins that show long-term upside on higher-time-frame charts, with clear justification drawn from trend structure, support-resistance levels, volume patterns, and moving-average confluence. • A step-by-step accumulation plan that specifies percentage allocation per coin, staggered buy ranges, and protective stop-loss placements. • Ongoing chart upd...

I’m looking for someone who can turn a raw stack of figures related to the Kerala-based market into clear, usable insights. The material—labels, column headers and many open-ended responses—comes in Malayalam, so the ability to read the language accurately is essential. My own background is in BBA, but I need an experienced hand for the analytics stage. Your core strength should be data analysis; how you get there is up to you, whether that’s Microsoft Excel, SPSS, Python or a mix that suits the size of the job. What I expect from you • A cleaned and well-structured data set • Descriptive statistics with any significant trends highlighted • Simple visualisations (charts or dashboards) that I can drop straight into a report • A brief...

I'm seeking a detailed analysis of WhatsApp messages. The goal is to understand conversation patterns and communication dynamics within a group chat. Key Focus Areas: - Response Time Analysis: How quickly do participants reply? - Interaction Frequency: Who talks to whom, and how often? - Message Length Patterns: Variations in message lengths among participants. - Collaborative Healthy Communication: Identifying positive, constructive exchanges. - Non-Collaborative Unhealthy Communication: Spotting negative or destructive interactions. - Requests for Transparent Communication: Tracking demands for clarity in discussions. Ideal Skills & Experience: - Experience with data analysis tools - Familiarity with sentiment analysis - Ability to visualize data patterns - Strong analytical s...

Python Quant Researcher Needed to Validate CRT and VWAP Futures Strategy I am looking for a quantitative researcher or Python developer to statistically test a futures trading strategy based on session VWAP, VWAP deviation, and CRT session-range sweeps and reclaims. This project is focused on mathematical validation and signal research. It does not include automated order execution or Tradovate integration. Markets and Sessions The initial research will cover: * YM/MYM during the New York session * Gold GC/MGC during the London session * Gold GC/MGC during the New York session * Silver SI/Micro Silver during the London session * Silver SI/Micro Silver during the New York session The same core strategy framework should be applied across all instruments so that the results can be compared ...

AI-Powered Sales Analytics Dashboard & Business Insights Developed an intelligent AI-Powered Sales Analytics Dashboard that transforms raw sales data into actionable business insights using Machine Learning and Business Intelligence techniques. The solution enables organizations to monitor sales performance, identify customer buying patterns, predict future sales trends, and make data-driven strategic decisions. The project leverages Python, Pandas, NumPy, Scikit-learn, and Power BI to clean, process, analyze, and visualize large volumes of sales data. Machine Learning algorithms are used for sales forecasting, trend analysis, customer segmentation, and predictive analytics, allowing businesses to anticipate demand, optimize inventory, and improve revenue growth. AI-driven insights hel...

I have a recently published randomized clinical trial from JACC and I need a seasoned biostatistician to walk me through it right away. My main focus is the results section: I want to understand exactly what the reported effect sizes, confidence intervals, and p-values tell us about clinical relevance. Along the way, please also clarify how the randomization process was handled so I can judge its adequacy and any potential bias. You should be fluent in the common analytical approaches used in cardiovascular trials—time-to-event modelling, mixed models, subgroup analyses—and comfortable translating them into language that a non-statistician can grasp. If you can point out subtle issues such as multiplicity adjustments or assumptions behind each test, that’s a plus. Becau...

I’m advancing a new study in the biological sciences and need a versatile researcher to help move it from concept to clear, publish-ready results. The exact sub-discipline is still being finalized, so I’m open to talent with strengths in genetics, microbiology, ecology or adjacent fields. Here’s what I expect us to tackle together as the project evolves: • Clarify the research question and map the most relevant, up-to-date literature. • Refine or build an experimental or observational design that is practical and statistically sound. • Perform rigorous data handling and analysis in R, Python, SPSS or another platform you’re comfortable with, documenting every step so it is fully reproducible. • Transform the findings into a concise repo...

Analyzed Diwali sales data using Python (Pandas, NumPy), Excel, and Power BI to identify customer purchasing behavior and sales trends. Built an interactive Power BI dashboard to visualize revenue, top-selling products, customer demographics, state-wise sales, and category performance. Generated actionable business insights by identifying high-value customer segments and best-performing product categories, helping optimize marketing and inventory strategies.

I need an interactive HR analytics dashboard that lets me look at two things side by side: 1) how each employee is performing and 2) why people leave. The core of the build is employee performance tracking, paired with turnover analytics, so the same screen should let me jump from an individual’s productivity to the bigger attrition picture without switching tools. Data in scope • Performance – I’ll supply spreadsheets with ratings, KPIs and other performance-related figures. • Attrition – separate files include exit dates, exit-interview summaries and job-satisfaction survey scores. Metrics and factors to highlight • Attrition trends appear alongside performance metrics in every view. • Job-satisfaction levels must be an explicit f...

I’m preparing a study that explores how leader burnout affects ethical leadership in healthcare organizations, both directly and indirectly through ego depletion. To move forward, I need expert help with the full survey-based research workflow. Scope of work • Turn my conceptual model (Burnout ➔ Ethical Leadership, plus Burnout ➔ Ego Depletion ➔ Ethical Leadership) into a clear, publishable study design. • Develop or refine survey and questionnaire items that capture: – Emotional exhaustion – Depersonalization – Personal accomplishment – Ego depletion – Ethical leadership behaviours • Ensure items are worded for healthcare leaders, who will be the sole respondents. • Set up the instrument in a platform s...

DISCLAIMER: AI GENERATED PROPOSALS WILL NOT BE CONSIDERED I am seeking an experienced freelancer to enhance my hotel review analysis software by expanding its data visualization and analytical capabilities. The software currently scrapes reviews from platforms like and Google Maps and performs basic sentiment analysis. I aim to improve the visualization and analysis of this data to provide deeper insights into customer sentiments and trends. Objectives: Expand the data visualization capabilities of the dashboard. Implement advanced data analysis techniques to extract meaningful insights from the review data. Enable export functionality to generate editable PDF reports of the analysis and visualizations. Core Responsibilities: Data Visualization Enhancements: Expand the existing dashb...

Je souhaite faire rédiger un rapport d’affaires centré sur une analyse de marché. L’objectif est d’obtenir un document clair et argumenté que je pourrai présenter à ma direction pour orienter la stratégie commerciale. Contenu attendu • Vue d’ensemble du marché : taille, tendances, croissance récente. • Analyse concurrentielle : principaux acteurs, parts de marché, avantages compétitifs. • Profil client : segmentation, besoins, comportements d’achat. • Données chiffrées et graphiques : tableaux, diagrammes, sources citées. • Recommandations stratégiques : opportunités, risques, pistes d’action. Format &...

Je cherche un expert en analyse de données pour examiner un ensemble de données financières et en extraire les informations clés que je pourrai ensuite partager facilement avec mon audience. Contexte – Type de projet : Analyse de données – Objectif final : Partager des informations claires et pertinentes issues de mes données financières Ce que j’attends de vous 1. Nettoyer et préparer le jeu de données (format CSV ou Excel). 2. Explorer les variables principales afin de détecter tendances, anomalies et corrélations. 3. Produire un rapport synthétique accompagné de visualisations lisibles (tableaux de bord, graphiques interactifs ou statiques). 4. Formuler des reco...