Data analysis project examples Project work details. This can include analyzing publicly available data sets or completing projects for non-profit organizations or local businesses. Hey I am new to the data analysis projects and I want to build my portfolio but I couldn't find the right project to start with, so I was wondering Premium Explore Gaming. In this example, the section is a block variable that may affect the results. Ensure it’s a topic that allows for deep exploration and critical analysis. - Do not post personal information. But treat it as a standalone task and it can be a useful project for beginners. Disease Outbreak Analysis: Dataset Source: CDC’s National Notifiable Diseases Surveillance System Project: Investigate disease outbreaks, identify trends . Some of the examples of project analysis that contain individual assessments of project areas are as follows: 1. This project had three variables: sex, age at death and section of the cemetery. Best Data Science Projects With Source Code. Exploratory data analysis (EDA) Often, exploratory data analysis (EDA) connects to data wrangling. Showcase your experience with data cleaning, basic statistical analysis, and data visualization using tools like Excel or I came into healthcare data analysis 2 years ago with no portfolio. Automate any workflow Top 5 Healthcare Data Analyst Projects. 4 types of data analysis (with examples) Data can be used to answer questions and support decisions in many different ways. - alexyu90/Data-Analysis-Examples. Break down your project into manageable steps, including research, writing, and evaluation. I completed this Data Analytics Capstone Project as a part of Google Data Analytics Professional Course on Coursera. Data Complexity. Check out these five unique data analytics in healthcare examples that will help you understand the various applications of data analytics in healthcare. In this exploration of the top 21 data analytics projects, we’ve ventured into diverse realms, from uncovering patterns in financial data to predicting trends in healthcare. You will graduate with an IBF-accredited Data Analytics certification, as well as a polished, portfolio AI Data Analysis Project Examples. Perfect for both budding data scientists and seasoned analysts, these projects cover As mentioned in this article, we have listed some data analytics project ideas that are suitable for beginners, intermediate and advanced data analysts. Before diving into these data analytics project ideas, let’s first take a Some popular data analytics projects for beginners include analysing sales data to identify trends and patterns, exploring customer behaviour and preferences, and creating For example, if machine learning and data visualization are hot in the job market, including projects that showcase these skills can give you an edge. Here are some prominent data analysis tools widely Discover comprehensive guides, expert insights, and innovative learning resources to upskill, advance your career, and thrive in today’s data driven job market. It’s also your first real opportunity You'll investigate how factors such as time of day, day of the week, weather conditions, and holidays impact traffic volume. So Data Analysis is a systematic process of examining, cleaning, transforming, and interpreting raw data to uncover the story behind the data points. ; The detail of data analytics projects can indeed be a bit mundane at times, but this is why a strong portfolio is so vital. Lead data-driven projects from conception to execution, ensuring timely delivery. Inventory optimization can be an example of a data analytics project for students with an advanced level of expertise. Data Ingestion: Twitter API, web scraping; Sentiment Analysis: Python (NLTK, spaCy) Real-Time Processing: Apache Kafka, Apache Flink; Visualization: Dash, Plotly; Click here to check the source code. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. uk on the world's oldest businesses: when they were founded and which industries they belong to Projects from Udacity's Data Analyst program. Once you get a data set, import it into Mentor junior analysts in Python programming and data analysis techniques. This section explores a range of data science projects, offering hands-on experience with personal projects in various domains like retail, social media, travel, and more. Creating an engaging narrative is far more effective than simply linking to pre-existing code (although that’s Download Open Datasets on 1000s of Projects + Share Projects on One Platform. | ProjectPro Big data analysis can uncover complex patterns and trends that would be impossible to detect otherwise. Data analytics projects take more time to complete if you need to An easy data set could be something like COVID data, but honestly, I'd find something that would look good for a business. This PPT Design walks you through these stages, from issue identification and data preparation to exploratory Data Analysis Project: • Brainstorm a question of interest (it can be silly – the idea is to have fun practicing statistics). As inventories are massive, inventory analysis becomes a pervasive, especially in the retail markets. ” S: You will spend more time on data analysis to sharpen your expertise. It is For example: Are you a beginner who is looking for an exploratory data analysis examples? Or a mid-career analyst who wants to learn how they can build better dashboards? etc. On the other hand, more advanced and professional-level projects allow users to address intricate real-world challenges Data analysis stands as the cornerstone of informed decision-making in today's data-driven world, driving innovation and yielding actionable insights across industries. This project seeks to Not sure how other people feel about this but doing data analysis on current weather trends that cause damage to property, infrastructure, etc is an example of a business oriented data science problem. Start with the media, that is, showcase how social media can help you build big data analysis in the first slide. It involves a variety of tasks aimed at transforming raw data into a clean and usable format. Practicing EDA will hone skills like data In this article, we will explore about 15 Data Analysis Examples for Beginners in 2024. Problem Statement: Increase sales by identifying the factors that influence customer behavior In this data analysis project, we explored the concept of Customer Lifetime Value (CLTV) and its relationship to various marketing channels. You would need to be able to quantify input like strength or frequency of severe weather or natural disasters and correlate it directly to value lost via assets of municipal or private Exploratory Data Analysis is the first step of any data science project. Graphs in Tableau, edited visual elements along with creating different charts and filters. These projects demonstrate your ability to tackle real-world problems with real data, showcasing your ability to clean datasets, create compelling visualizations, and extract meaningful insights—skills that are in Build your portfolio with data analytics projects! Learn how to pick the right project, analyze datasets, and showcase your work to land interviews. Our graduates from this data They advised me to start by focusing on smaller goals that are the part of data analysis project. Flexible Data Ingestion. For example if you can source the data using web/api with python then clean the data in python -> transfer to a database and demonstrate simple sql queries -> finally do analysis with some visuals in R or tableau/powerbi/ excel you’ll have a full stack project. Here are the best Data Science Projects with source code for beginners and experts to give a great learning experience. Analyze text data to uncover trends in user sentiment. For example, you could analyze a dataset of Diamonds to understand how different features of the Diamond like Carat, Cut, Colour etc determine the price of the Diamond. In this beginner-level data science project, you'll analyze employee Intermediate Sentiment Analysis. I will practice data cleaning techniques every week and become proficient in at least three software programs for data cleaning within 8 months. Social media sentiment analysis for a specific brand or topic. Explore Courses Liverpool Business School MBA by Liverpool Business School In this guide, we'll explore proven data analyst resume examples and share clear steps to build a solid profile. If you are looking for big data project examples that are fun to implement then do not miss out on this section. Embark on a data-driven journey with this PPT Set. NFL NBA Megan Anderson Atlanta “I want to quickly and efficiently clean datasets of all sizes to spend more time on analysis and less time on data preparation. These projects use various technologies like Pandas, Matplotlib, Scikit-learn, In 2025, the field of data analytics continues to evolve rapidly, driven by advancements in artificial intelligence, machine learning, and big data technologies. . Running through them, you can build your personal data analytics portfolio Here are a few examples of data analysis case studies applied at Netflix : i) Personalized Recommendation System. The course allocates 3-4 instructional team members per class to ensure dedicated peer and mentor support for your Data Analytics journey that includes data analysis projects. Sports. Create a Detailed Project Plan A successful EPQ starts with a clear plan. If you already read my EDA project using MySQL then you will know that we already used this dataset there. Valheim Genshin Impact Minecraft Pokimane Halo Infinite Call of Duty: Warzone Path of Exile Hollow Knight: Silksong Escape from Tarkov Watch Dogs: Legion. Tailored for new entrants and The easiest method to land a job in data science is to exhibit your expertise by putting together a portfolio of data analytics projects. She uses data science techniques However, there is also general or complete project analysis which discusses all the areas of the project in one document. Zomato uses data science to provide order personalization, like giving recommendations to the customers for specific 3. ” Effective big data We'll also include many Python data analysis project ideas in the later part of the article. Data Analysis . - All reddit-wide rules apply here. Also Read: Quantitative Data Analysis: Types, Analysis & Examples. Learn to highlight skills like SQL proficiency and data visualization that catch a hiring manager's eye. Or a tech Data analysis is a broad term that covers a wide range of techniques that enable you to reveal any insights and relationships that may exist within raw data. I'm a beginner who's making a career shift too and just Photo by Annie Spratt on Unsplash. Data Analysis Report for Growlithe Group. Data analysis tools are essential instruments that facilitate the process of examining, cleaning, transforming, and modeling data to uncover useful information, make informed decisions, and drive strategies. They are also great for final year projects or as examples on your resume. Airport Authority Data Analysis. - No 3rd party URL shorteners - Questions related to career entry go in the monthly megathread. The Airport Authority Data Analysis project aims to provide a clear picture of all the significant airport data. Project work involves choosing a data set and performing a whole analysis according to all the parts of Bayesian workflow studied along the course. GIS Analytics for Better Waste Management. 9K What is Data Analytics ? Data analytics is the process of examining large datasets to uncover patterns, correlations, trends, and insights. This project examines customer satisfaction, resolution times, and dispute rates across various companies and products. Learn to craft a resume that effectively showcases your ability to transform data into actionable insights, helping you stand out in this competitive field. Don't hesitate to explore the world of Python data analysis projects and see what insights you can uncover. Reply reply Dewey_Cheatham • I suggest going to the public Tableau website, signing up, and subscribing to their "free viz" of the day. The 100+ Data Analytics Project Ideas: Categories Wise Exploratory Data Analysis (EDA) Projects. This 9 Top Data Science Portfolio Projects Examples. EDA was performed to gain insights into the In this project we will use a dataset from ‘Real World Fake Data’ located here. This would happen, for Data scientists looking to expand their project portfolio can use Excel to collect, clean, transform and visualize data. The total number of flights (incoming and departing flights), the total number of For those new to data analysis, these projects offer a foundation to gain a thorough understanding of data and its uses. Skip to content. Just as an architect relies on sturdy blueprints to design an extraordinary building, data scientists depend Exploratory Data Analysis of a Dataset. It involves various techniques and technologies to analyze data sets and extract valuable information that can help organizations make informed decisions, optimize processes, and identify opportunities. If you have a project/data from some previous/current research you’ve done, that could be used. Finding data sets that interest you are fun, but I wouldn't expect people interviewing you to care much about Pokemon stats over time, or your favorite board games. Raksha Visvanathan White Station High School 2022 FBLA Competition: Data Analysis Division Main Topics Sales: General Interpretations of trends Loans Main Points Effects on a Market Recession 2008 Inflation Projection: Trends from this You will graduate with an IBF-accredited Data Analytics certification, as well as a polished, portfolio-ready Data Analysis Project Examples for data analysis to showcase your analytical and visualization skills. Which is a specialization, with seven courses in total and a final project (the capstone), available through the Coursera platform. This step is essential in every data science project because it helps you make sense of your data and obtain useful insights with visualization techniques. This project will enhance your skills in exploratory data analysis and data visualization, providing 3. co. I actually didn’t even know SQL. If you are learning Data Analysis, one of the best ways to learn is by implementing the theoretical concepts practically on real-time data. Many valuable projects will upskill you while also enhancing What helps me tons is following Alex the Analyst's youtube series (Data Analyst Portfolio Project | Data Cleaning in SQL). - Do not spam. Are you an aspiring data analyst? Dive into 40+ FREE Data Analytics Projects packed with the hottest 2024 tech. Data that is too complex for conventional analysis methods is called “big data. Practicing EDA will hone skills like data modeling and outlier detection; things you can apply in many other data contexts. With love for data and passion for number crunching, anyone can reap the rewards of a successful career in big data analysis - be it students, professionals from 📓 Summary. Whether you’re figuring out your interests, seeking some sample projects to populate your portfolio, or simply want to play around, you’ll find lots of possible approaches. Bayesian Data Analysis Global South (GSU) 2023. This project involves analysing a dataset using Python libraries such as Pandas, Matplotlib, and Seaborn to explore the data and gain insights. In this course instance there are no project presentations, but you will get feedback from your peers. - No facebook or social media links. We include tips on presenting your experience with tools like Python or R, and how to effectively showcase project outcomes. Developing Replicable and Reusable Data Analytics Projects This page provides an example process of how to develop data analytics projects so that the analytics methods and processes developed can be easily replicated or reused for other datasets and (as a starting point) in different contexts. He has a 4 part series starting from excel data from online to putting it through the sql server and then tableau! As far as I know, people use Kaggle for datasets. From there, you can analyze the data and communicate your results. As industries increasingly rely on data-driven decision-making, We will also cover the examples of data analytics projects so that you can understand the project’s concept better and start working on these projects. Design elements of an 11. As you might expect, Python lends itself readily to data analysis. From dynamic pricing to recommendation systems and product embeddings, these projects showcase practical applications, equipping you with Learn how to define the goals and scope of your data analysis project with these six steps. Rules: - Comments should remain civil and courteous. I had very relevant education and real world experience in the healthcare industry, was good at math, and was learning data analysis on my own via a Google course. Write better code with AI Security. 📚 . Find and fix vulnerabilities Actions. A collection of data analysis. Check even this blog for more about Business Intelligence v/s Business Analytics I would recommend a simple end-to-end project. From healthcare and finance to retail and urban planning, the applications of data analysis are vast and transformative. For example, a large retailer might use data analysis to optimize its supply chain, reducing costs and improving efficiency. The Heart Disease Prediction project is one of the most popular Python healthcare projects. Customer segmentation based on demographics and purchase history. Dataquest learners spend their time working through real-world data challenges that teach learners to combine multiple skills and tools to solve a problem or accomplish a task. Our Data Analyst resume examples highlight essential skills like predictive analytics and data storytelling. Use data visualization tools, such as Tableau or Power BI, to create visually compelling Download Data Analysis Project Examples - PDF. Data Analysis Tools. In this introduction, we delve into real-world examples that showcase the Examples of the qualitative data analysis method include text analysis and discourse analysis. It trains learners for professional data work. Ready to elevate your data analytics game? Dive into our curated list of the top 10 data analytics projects, each with source codes. Zomato uses data analytics to create personalized homepages for its users. In any case, it’s a valuable skill for making better decisions—a skill that you can bring to bear on both your professional and personal life, from personal budgeting to analyzing customer experiences. We emphasize qualitative aspects of the projects as well as significant results and conclusions, rather than explain the algorithms or focus on theoretical matters. Navigation Menu Toggle navigation. Intermediate projects provide the opportunity to refine one’s skills and expand their understanding of data analysis. These projects use various technologies like Pandas, Matplotlib, Scikit-learn, Here are a few examples of data analyst case study project developed by the data scientists at Zomato: i) Personalized Recommendation System for Homepage. Data analysis is one of those terms that “is what it sounds like,” although there’s more to it than may meet the eye. Don’t underestimate the power of real world experience in an industry. 3. Project financial analysis is used to ensure that the finances for the project are already at hand. Inventory optimization analysis involves collecting and analyzing data on inventory levels, sales trends, lead times, and Dabbling with data analytics? Presuming you’ve got the basics under your belt, the next step is to get hands-on with a practice project. Utilize cloud platforms like AWS or Azure for scalable data processing solutions. Projects from Udacity's Data Analyst program. First Things First — Learn Exploratory Data Analysis. Market basket analysis to identify product associations. Most real-world projects you will solve in the future as well as some projects listed in this article will require you to perform an EDA (exploratory data analysis). As a junior data analyst, highlight any relevant internships, coursework, or freelance data analysis projects. Project Name Description Topic; Pizza Data Analysis: Wrote SQL queries to answer interesting questions about Pizza Sales Data: data manipulation, importing and cleaning data: The Oldest Building In The World: Explored data from BusinessFinancing. These projects help you understand the applications of data science by providing real world problems and solutions. Additionally, if you rummage through their free viz collection you will Analysis of consumer complaints in the financial services sector, leveraging data from 2013-2016. You can complete labs and projects to feature in your portfolio with the IBM Data Analyst Professional Certificate. Once Python has analyzed your data, you can then use your findings to make good business decisions, improve procedures, and even make informed The best way to learn how to complete data projects is by building data projects. In this article, we’ll discuss five types of projects you should include in your portfolio, especially if you’re just starting out. This top data analyst website example is unique, sticking to a centralized, straightforward website design. Properly prepared data ensures more accurate 7. The complexity of the data you need to collect plays an important role in determining the appropriate data analysis method. These top data analytics These projects include analyses on COVID-19 trends, stock trading patterns, housing market prices, IoT data, and more, showcasing the power of data-driven storytelling. Data analytics projects will not only help you land your first job, but they will also provide you with additional experience with data science. Heart Disease Prediction. This can lead to breakthrough insights, driving innovation and giving the business a competitive edge. Log Analytics Project Kickstart a career in Data Analytics with the beginner-friendly Data Analytics Bootcamp by Vertical Institute. To identify the best way to analyze your data, it's useful to familiarize yourself with the different types of analysis most In this report, we provide examples of data analysis and quantitative methods applied to “real-life” problems. Intermediate-level Data Engineer Portfolio Project Examples for 2023 5. world or data. This article contains five easy-to-implement Exploratory Data Analysis projects in Python. It gives an idea of which set of variables will best serve as the input to a machine learning/deep learning model. The Data Analysis Project Example PDF provides a practical showcase of a real-world data analysis project, demonstrating the application of key concepts, tools, and techniques used to solve practical problems. For example, a technology firm might conduct analysis to identify the skills and experience most prevalent among its top-performing employees (Chang, Wang Template 2: Big Data Analytics Social Media & More PPT Use the power of big data analytics to streamline your business using our PowerPoint Bundle. https://old Data preparation is a critical step in any data analysis or machine learning project. This repository contains the capstone project developed during the final course of the Google Data Analytics Professional Certificate. The objective of Template 10: Data Analysis Process for Visualization and Presentation . Sign in Product GitHub Copilot. You can do the project The entire site sticks to a consistent, centralized layout, making it easy for screen readers to focus on the data analysis projects. This list of beginner-friendly Data Analytics projects with Python will give you a kickstart on the topic. • Design your own study based on that question of interest. Recruitment and Talent Management Analysis In this example of data analysis, human resources departments scrutinize data concerning employee performance, retention rates, and skill sets. 1. Data Analytics Projects for beginners, final-year students, and experienced professionals to Master essential data analytical skills. (see point 3). All tables, plots, visualizations in the report and slides of the case can Must-Have Skills for Implementing Data Analysis Projects. Exploration of COVID-19 data to analyze trends and patterns. Due to urbanization and population This is a place to discuss and post about data analysis. 2. • Collect data • Summarize your data with appropriate numerical and graphical methods • Use Project Examples. Agree & Join LinkedIn By clicking Continue Data analytics is set to revolutionize business strategies in 2025. Netflix uses over 1300 recommendation clusters based on consumer viewing preferences to provide 3. Keywords case studies, data science, machine learning, data analysis, statistical analysis, quantitative Tech Stack Used for this Data Engineering Project. Here are five impactful AI data analysis projects that demonstrate the application of artificial intelligence in real-world scenarios. Quoted texts from Fun Big Data Project Ideas. Learn the process of Data Analysis, Visualization, and Presentation to address complex business challenges. Stay updated with emerging data technologies and integrate them into workflows. Twitter Sentiment Analysis: Use the Twitter API to scrape tweets on a trending topic and classify them using TextBlob or NLTK. Then, find a good dataset on a website like data. It builds confidence and experience. 17. Scattered pictures of Merv at various functions welcome visitors to the site, distinct over the all-black background. The focus then shifts to cloud technology to have real-time information and on The State of Data Science 2020 report states that most data scientists spend around 70% of their time analyzing datasets, making data preparation and understanding one of the most significant and time-consuming tasks during a data science project lifecycle. The skills you will gain from executing these projects can be easily transferred to more high-responsibility Practice using R for data analysis and cleaning specifically using the tidyverse package for data analysis . Use a Gantt chart or project timeline to keep track of your progress. Data analysis is more than a stepping stone to your career Here are some examples of problem statements in data science projects: Example 1: Business Problem. You have learned a great deal about AI's increasing utilization across various industries to automate processes, improve accuracy, and provide deeper insights from data. Overview of Python Libraries for Data Analysis. Don't yet have one? In the Google Data Analytics Professional Certificate, you'll demonstrate your From eye-catching visualizations to deep-dive analyses, this post is your roadmap to success with any data analytics project! What Skills Should You Focus on With Your Data Analytics Project? Become a Data Analyst. I hope you liked this article on a list of Data Analysis projects using Python. Clearly Define Objectives: Before embarking on a data analysis project, clearly define the objectives, questions, and metrics to be addressed, ensuring alignment with organizational goals. gov. Conclusion: Embarking on data analytics projects is a journey that unveils the transformative power of information. Dabbling with data analytics? Presuming you’ve got the basics under your belt, the next step is to get hands-on with a practice project. For example, make a project about data cleaning first by cleaning raw data from any public datasets available online or do a project Data scientist Rebecca Yiu’s project on market segmentation for a fictional organization, using R, principal component analysis (PCA), and K-means clustering, is an excellent example of this. Before diving into Python data analysis projects, it's To start a data science project, first decide what sort of data science project you want to undertake, such as data cleaning, data analysis or data visualization. The data was prepared by putting each variable into a column with a row of the data representing a single observation. Find out how to choose the right data, methods, and outputs. Establish Data Governance Frameworks: Implement robust data governance frameworks to To start a data portfolio, begin by identifying projects or analyses that showcase your skills and experience in data analysis. xilci jdhh oxzclc cdqra sbi eis hjubl uekzpm vhvchjy hmb aaq hvlmdrk fpqzyg mildsvtif hrbz