Data Analysis is a process of collecting and examining data in order to gain meaningful insights and inform data-driven decisions. Data Analysts utilize a range of techniques to discover useful patterns, trends, or relationships demonstrated by large amounts of data. The specific methods used by Data Analysts depend on the type of data they are dealing with, but they often use software such as Tableau and Microsoft Excel to summarize, arrange and analyze raw data sets. A Data Analyst can help a client make more informed decisions and insights by providing them with in-depth data analysis that can be used to inform their decisions and strategies.
Here's some projects that our expert Data Analyst made real:
- Training machine learning algorithms to analyze point cloud data
- Developing interactive Excel dashboards to visualize user performance
- Building multi-layer perceptron models with Pytorch
- Preparing reports based on historical project data
- Applying scientific research paper findings to new datasets
- Automating data analysis processes in Python with clear commenting
- Strengthening energy efficiency by using Ground Source Heat Pumps (GSHPs)
- Creating customized calculated fields in Tableau for cumulative yearly percentage
- Automating the summarizing and cleaning of GitHub sourcedata using R Studio.
At Freelancer.com, our expert Data Analysts have the knowledge and tools to provide high quality output for any task a client needs. Our global pool of talent provides clients with many competitively priced options for any data analysis task they require. With an array of services provided by highly experienced professionals We invite our clients to post their project online and hire a talented Freelancer Data Analyst today!From 57,651 reviews, clients rate our Data Analysts 4.85 out of 5 stars.
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I need an expert well-versed in finance and Python for a task involving data analysis and comprehensive risk assessment. In this project, the workload will be: - Conducting rigorous statistical analysis using Python programming. - Utilizing financial models to provide insight on market trends. - Implementing risk assessment techniques to identify potential hazards. The ideal candidate must be proficient in Python and finance, especially in dealing with large financial data sets, and have intensive knowledge of risk management. Experienced professionals using Python for statistical analysis in the finance domain will be preferred. Ensure that you can meet a strict deadline of 4 days for project completion. Promptitude and accuracy are essential in this role.
We are looking for a GoHighLevel assistant to build flows, pull custom reports, connect lead forms and general CRM maintenance. This will be on an ongoing basis, part-time. GoHighLevel and CRM experience is a MUST. We only work with ONE franchise business with the exact same setup across all locations so this will be very simple once you learn the business. The main task will be pulling reports on a weekly basis for 15 locations.
As a college educator, I am seeking a seasoned Power BI professional to offer focused training for college students. The training will enhance the student's competencies from Intermediate to Advanced level. Ideal candidates should possess: - Expertise in Power BI with teaching experience - Proficiency in Data visualization, DAX functions, and Querying and shaping data My students already have an intermediate understanding of Power BI, we are keen to focus on: - Practical use and application of DAX functions - Enhancing the skill of data visualization - Mastery in querying and shaping data This project provides a great opportunity for freelancers who enjoy nurturing young minds and preparing them for the real-world data analysis field. Transform these learners into Power BI gurus...
We need to evaluate savings delivered by the introduction of a new process for procuring goods. Our baseline data needs to be appropriately weighted to control for varying volumes in different categories between the datasets. Missing values also need to be assumed/imputed/interpolated. We have tried using a simple ratio adjustment method for weighting, but would like to try stratification, propensity score matching and regression adjustment. We require: Advice on appropriate methodology options An expert to complete the analysis We would like to compare the results of: Weighting using stratification, propensity score matching and regression adjustment Filling in missing values using imputation and interpolation from similar categories We would ideally like the analysis to be compl...
I'm in need of a freelancer with proficiency in Excel to assist with multiple tasks in more than five sheets. Your duties will encompass three main areas: 1. Data Entry: You'll input basic textual data accurately across different sheets. Attention to detail is a must. 2. Spreadsheet Formatting: I require someone who can design and implement professional and clear spreadsheet formats that enhance data clarity and ease of use. 3. Formulas and Functions: I need support with Excel formulas and functions, to help with computations and data organization. Ideal candidates should have solid Excel experience, particularly in the areas of data entry, spreadsheet formatting and formulas/functions. Your work will help streamline my data management and improve efficiency.
I'm seeking a proficient data analyst with an exceptional grasp of Excel to conduct a comprehensive analysis of a small dataset, specifically incidents recorded in ServiceNow. My primary goal is to identify common incident types that are impacting our operations. The ideal candidate will have the necessary skills and experience to meet the following requirements: - **Data Extraction and Analysis**: Deep expertise in extracting and analyzing data from ServiceNow. Familiar with importing data into Excel and utilizing advanced features for analysis. - **Incident Type Identification**: Ability to sift through up to 1,000 incidents and categorize them effectively to pinpoint commonalities. This will involve creating and analyzing charts, tables, and possibly pivot tables to summarize find...
I'm seeking an AI expert to develop a generative AI system specifically for answering and synthesizing energy market questions about data obtained from a DataWarehouse. This project prioritizes data synthesis over analysis and visualization. Ideal Skills: • A proficiency in AI-based synthesis • Deep understanding and experience with time-series data • Familiarity with DataWarehousing Key Responsibilities: • Design and implement a system that effectively synthesizes time-series data using generative AI • Leverage structured data from our DataWareHouse in Bigquery • Ensure synthesized data retains accurate, reliable, and relevant financial metrics Being equipped to handle and understand the complexity and nuance of Bigquery data will be ...
I am seeking a skilled developer or a team to transform my consulting methodology into a dynamic app, website, or platform. As a consultant specializing in assessing and optimizing production areas within manufacturing industries, my goal is to create a tool that can be adapted across various sectors to evaluate their capacity of production expansion, transference and nearshoring. It will be a default questions that can be classified in yes, no and % of compliance, and at the end will show a % of compliance. The questions are already established ### Ideal Features: - **Data Collection**: Ability to collect input from users regarding their specific manufacturing processes and cost-related data. - **Analytical Display**: The platform should analyze the collected data and display res...
ELO2 Big Dipper Lunar Regolith Acquisition Phase 2 Challenge Phase 2 Welcome to Phase 2 of the Big Dipper Lunar Regolith Acquisition Challenge! Whether you participated in Phase 1 or are just entering the competition now, we’re thrilled to have you on-board! Phase 2 of this challenge, open to existing and new solvers, offers a unique opportunity to build upon the achievements of Phase 1 and further contribute to the success of this ground-breaking Australian rover design. This phase will seek submissions that concisely summarise unique and creative insights drawn from the winning solutions, judges’ feedback, open testing, and your own research in a visually appealing way. Submissions will be in the form of a one-page infographic illustrating insights and design recommendatio...
-Xác định được dữ liệu thứ cấp cần thiết cho một vấn đề thống kê - Vận dụng được một số công thức cơ bản để tính: giá trị trung bình, phương sai, độ lệch chuẩn, z-score,… - Kiểm định giả thuyết và xây dựng khoảng tin cậy - Phân tích hồi quy bằng cách sử dụng công cụ Data Analysist - Phân tích hồi quy - Sử dụng kết quả của phân tích hồi quy để đưa ra dự đoán