Data Analytics Projects - SQL, Excel, Tableau, Python & Power BI Interview Resources

Data Analytics Projects for Beginners 👇 Web Scraping https://github.com/shreyaswankhede/IMDb-Web-Scraping-and-Sentiment-Analysis Product Price Scraping and Analysis https://github.com/CodesdaLu/Web-Scrapping News Scraping https://github.com/rohit-yadav/scraping-news-articles Real Time Stock Price Scraping with Python https://youtu.be/rONhdonaWUo?si=A3oDEVbLIAP78cCz Zomato Analysis https://youtu.be/fFi_TBw27is?si=E0iLd3J06YHfQkRk IPL Analysis https://github.com/Yashmenaria1/IPL-Data-Exploration https://www.youtube.com/watch?v=ur-v0dv0Qtw https://www.youtube.com/watch?v=ur-v0dv0Qtw Football Data Analysis https://youtu.be/yat7soj__4w?si=h5CLIvVFzzKm8IEP Market Basket Analysis https://youtu.be/Ne8Sbp2hJIk?si=ThEuvdOnRrpcVjOg Customer Churn Prediction https://github.com/Pradnya1208/Telecom-Customer-Churn-prediction Employee’s Performance for HR Analytics https://www.kaggle.com/code/rajatraj0502/employee-s-performance-for-hr-analytics Food Price Prediction https://github.com/VectorInstitute/foodprice-forecasting

New Data Analytics Project Ideas For Finance In 2024 👇👇 https://datasimplifier.com/data-analytics-project-ideas-for-finance/

Stop doing guided projects. Start doing your OWN self-directed projects. Here are 5 interesting Data project ideas and datasets to get you started: → 𝗧𝗼𝗽𝗶𝗰 𝟭: 𝗦𝘂𝗺𝗺𝗲𝗿 𝗢𝗹𝘆𝗺𝗽𝗶𝗰𝘀 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗶𝗱𝗲𝗮: Build an interactive dashboard to explore each country's performance over time. Identify up-and-coming countries in the Olympics and the sports they are excel in. 𝗦𝗸𝗶𝗹𝗹𝘀: Time Series Analysis, Data Visualization, SQL, Python 𝗗𝗮𝘁𝗮𝘀𝗲𝘁: https://lnkd.in/gXGD8My4 → 𝗧𝗼𝗽𝗶𝗰 𝟮: 𝗙𝗮𝘀𝘁 𝗙𝗼𝗼𝗱 𝗡𝘂𝘁𝗿𝗶𝘁𝗶𝗼𝗻 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗶𝗱𝗲𝗮: Conduct a clustering analysis to group similar fast food items based on their nutritional profiles, potentially uncovering hidden patterns in menu offerings. 𝗦𝗸𝗶𝗹𝗹𝘀: Exploratory Data Analysis, Unsupervised Machine Learning, Python 𝗗𝗮𝘁𝗮𝘀𝗲𝘁: https://lnkd.in/gzesTx6A → 𝗧𝗼𝗽𝗶𝗰 𝟯: 𝗔𝗶𝗿𝗯𝗻𝗯 𝗹𝗶𝘀𝘁𝗶𝗻𝗴𝘀 𝗮𝗻𝗱 𝗿𝗲𝘃𝗶𝗲𝘄𝘀 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗶𝗱𝗲𝗮: Create a recommendation system for Airbnb users based on listing features, user preferences, and review scores. 𝗦𝗸𝗶𝗹𝗹𝘀: Machine Learning, Feature Engineering, SQL, Python 𝗗𝗮𝘁𝗮𝘀𝗲𝘁: https://lnkd.in/gS43Gnef → 𝗧𝗼𝗽𝗶𝗰 𝟰: 𝗠𝗼𝘃𝗶𝗲𝘀 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗶𝗱𝗲𝗮: Develop a movie recommendation system using collaborative filtering based on user ratings and movie features. 𝗦𝗸𝗶𝗹𝗹𝘀: Unsupervised Machine Learning, Feature Engineering, Python, SQL 𝗗𝗮𝘁𝗮𝘀𝗲𝘁: https://lnkd.in/g97JxVdg → 𝗧𝗼𝗽𝗶𝗰 𝟱: 𝗠𝗲𝗻𝘁𝗮𝗹 𝗵𝗲𝗮𝗹𝘁𝗵 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗶𝗱𝗲𝗮: Analyze global trends in mental health disorders and create interactive visualizations to showcase prevalence changes over time. 𝗦𝗸𝗶𝗹𝗹𝘀: Time Series Analysis, Data Visualization, Exploratory Data Analysis, Python 𝗗𝗮𝘁𝗮𝘀𝗲𝘁: https://lnkd.in/gcyE-85A Join for more: https://t.me/DataPortfolio Hope this helps you :)

Top 10 Computer Vision Project Ideas 1. Edge Detection 2. Photo Sketching 3. Detecting Contours 4. Collage Mosaic Generator 5. Barcode and QR Code Scanner 6. Face Detection 7. Blur the Face 8. Image Segmentation 9. Human Counting with OpenCV 10. Colour Detection

Take on big projects even if you don't 100% know how to do it! I've done this all throughout my career and every time it helped my career substantially - even though half the time I didn't know how to do it. I knew it was possible though! And I worked insanely hard to get that project done. Big projects got me promoted from a Jr Data Analyst to a Data Analyst II in my first 6 months at a new job. Taking on a big project got me noticed by our CTO and eventually promoted to an Analytics Manager. If you only ever work on small projects you're going to have a small impact and that's not really helpful for your career in the long run. So take on those big projects you're afraid of and figure it out!

7 Free Kaggle Micro-Courses for Data Science Beginners with Certification Python https://www.kaggle.com/learn/python Pandas https://www.kaggle.com/learn/pandas Data visualization https://www.kaggle.com/learn/data-visualization Intro to sql https://www.kaggle.com/learn/intro-to-sql Advanced Sql https://www.kaggle.com/learn/advanced-sql Intro to ML https://www.kaggle.com/learn/intro-to-machine-learning Advanced ML https://www.kaggle.com/learn/intermediate-machine-learning More data analytics resources https://t.me/sqlspecialist Hope it helps :)

🚨30 FREE Dataset Sources for Data Science Projects🔥 Data Simplifier: https://datasimplifier.com/best-data-analyst-projects-for-freshers/ US Government Dataset: https://www.data.gov/ Open Government Data (OGD) Platform India: https://data.gov.in/ The World Bank Open Data: https://data.worldbank.org/ Data World: https://data.world/ BFI - Industry Data and Insights: https://www.bfi.org.uk/data-statistics The Humanitarian Data Exchange (HDX): https://data.humdata.org/ Data at World Health Organization (WHO): https://www.who.int/data FBI’s Crime Data Explorer: https://crime-data-explorer.fr.cloud.gov/ AWS Open Data Registry: https://registry.opendata.aws/ FiveThirtyEight: https://data.fivethirtyeight.com/ IMDb Datasets: https://www.imdb.com/interfaces/ Kaggle: https://www.kaggle.com/datasets UCI Machine Learning Repository: https://archive.ics.uci.edu/ml/index.php Google Dataset Search: https://datasetsearch.research.google.com/ Nasdaq Data Link: https://data.nasdaq.com/ Recommender Systems and Personalization Datasets: https://cseweb.ucsd.edu/~jmcauley/datasets.html Reddit - Datasets: https://www.reddit.com/r/datasets/ Open Data Network by Socrata: https://www.opendatanetwork.com/ Climate Data Online by NOAA: https://www.ncdc.noaa.gov/cdo-web/ Azure Open Datasets: https://azure.microsoft.com/en-us/services/open-datasets/ IEEE Data Port: https://ieee-dataport.org/ Wikipedia: Database: https://dumps.wikimedia.org/ BuzzFeed News: https://github.com/BuzzFeedNews/everything Academic Torrents: https://academictorrents.com/ Yelp Open Dataset: https://www.yelp.com/dataset The NLP Index by Quantum Stat: https://index.quantumstat.com/ Computer Vision Online: http://www.computervisiononline.com/dataset Visual Data Discovery: https://www.visualdata.io/ Roboflow Public Datasets: https://public.roboflow.com/ Computer Vision Group, TUM: https://vision.in.tum.de/data/datasets

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You need a portfolio to get a data analytics job. You need projects for your portfolio. Here's how many to do... A total of 5! Here is the breakdown:- - 1 Project using just Excel - 1 Project using just SQL - 3 Dashboards (Power BI/Tableau)

MUST ADD these 5 POWER Bl projects to your resume to get hired Here are 5 mini projects that not only help you to gain experience but also it will help you to build your resume stronger 📌Customer Churn Analysis 🔗 https://www.kaggle.com/code/fabiendaniel/customer-segmentation/input 📌Credit Card Fraud 🔗 https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud 📌Movie Sales Analysis 🔗https://www.kaggle.com/datasets/PromptCloudHQ/imdb-data 📌Airline Sector 🔗https://www.kaggle.com/datasets/yuanyuwendymu/airline- 📌Financial Data Analysis 🔗https://www.kaggle.com/datasets/qks1%7Cver/financial-data- Simple guide 1. Data Utilization: - Initiate the process by using the provided datasets for a comprehensive analysis. 2. Domain Research: - Conduct thorough research within the domain to identify crucial metrics and KPIs for analysis. 3. Dashboard Blueprint: - Outline the structure and aesthetics of your dashboard, drawing inspiration from existing online dashboards for enhanced design and functionality. 4. Data Handling: - Import data meticulously, ensuring accuracy. Proceed with cleaning, modeling, and the creation of essential measures and calculations. 5. Question Formulation: - Brainstorm a list of insightful questions your dashboard aims to answer, covering trends, comparisons, aggregations, and correlations within the data. 6. Platform Integration: - Utilize Novypro.com as the hosting platform for your dashboard, ensuring seamless integration and accessibility. 7. LinkedIn Visibility: - Share your dashboard on LinkedIn with a concise post providing context. Include a link to your Novypro-hosted dashboard to foster engagement and professional connections. Join for more: https://t.me/DataPortfolio Hope this helps you :)

7 Free Kaggle Micro-Courses for Data Science Beginners with Certification Python https://www.kaggle.com/learn/python Pandas https://www.kaggle.com/learn/pandas Data visualization https://www.kaggle.com/learn/data-visualization Intro to sql https://www.kaggle.com/learn/intro-to-sql Advanced Sql https://www.kaggle.com/learn/advanced-sql Intro to ML https://www.kaggle.com/learn/intro-to-machine-learning Advanced ML https://www.kaggle.com/learn/intermediate-machine-learning More data analytics resources https://t.me/sqlspecialist Hope it helps :)

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Some helpful Data science projects for beginners https://www.kaggle.com/c/house-prices-advanced-regression-techniques https://www.kaggle.com/c/digit-recognizer https://www.kaggle.com/c/titanic BEST RESOURCES TO LEARN DATA SCIENCE AND MACHINE LEARNING FOR FREE https://developers.google.com/machine-learning/crash-course https://www.kaggle.com/learn/overview https://forums.fast.ai/t/recommended-python-learning-resources/26888 https://www.fast.ai/ https://imp.i115008.net/JrBjZR https://ern.li/OP/1qvkxbfaxqj Join @datasciencefun for more free resources ENJOY LEARNING 👍👍

Selected Scenario Question: Scenario: You are working as a data analyst for a retail company. The company wants to understand the sales performance across different regions and product categories. You have access to a SQL database that stores order details and a Power BI setup for reporting. Your task is to create a comprehensive report that shows: Total sales by product category. Total sales by region. Total number of orders placed by each customer. Identify the top 5 products contributing to sales in each region. Comprehensive Answer: Step 1: SQL Queries to Retrieve Data Total Sales by Product Category: SELECT ProductCategory, SUM(SalesAmount) AS TotalSales FROM Orders GROUP BY ProductCategory; Total Sales by Region: SELECT Region, SUM(SalesAmount) AS TotalSales FROM Orders GROUP BY Region; Total Number of Orders Placed by Each Customer: SELECT CustomerID, COUNT(*) AS TotalOrders FROM Orders GROUP BY CustomerID; Top 5 Products Contributing to Sales in Each Region: SELECT Region, ProductID, ProductName, SUM(SalesAmount) AS TotalSales FROM Orders GROUP BY Region, ProductID, ProductName ORDER BY Region, TotalSales DESC LIMIT 5; Step 2: Import Data into Power BI Load Data: Open Power BI Desktop. Use the "Get Data" feature to connect to your SQL database. Import the result sets from the SQL queries into Power BI. Create Relationships (if necessary): Ensure that the data tables are properly related. For example, link the Orders table to Customers, Products, and Regions tables if they exist separately. Step 3: Create Visualizations Total Sales by Product Category: Create a bar chart. Drag ProductCategory to the Axis. Drag TotalSales to the Values. Total Sales by Region: Create a pie chart. Drag Region to the Legend. Drag TotalSales to the Values. Total Number of Orders Placed by Each Customer: Create a table. Drag CustomerID to the Rows. Drag TotalOrders to the Values. Top 5 Products Contributing to Sales in Each Region: Create a clustered bar chart. Drag Region to the Axis. Drag ProductName to the Legend. Drag TotalSales to the Values. Apply a Top N filter to show only the top 5 products in each region. Step 4: Optimize Performance Data Model Optimization: Reduce the number of columns and rows by filtering unnecessary data. Use summarized tables to pre-aggregate data. DAX Optimization: Simplify calculations by using measures and avoiding complex DAX queries. Visualization Optimization: Limit the number of visuals on each report page. Avoid using too many slicers or custom visuals that can slow down the performance. Scheduled Refresh: Set up scheduled refreshes to ensure the data is up-to-date without manual intervention. By following these steps, you will create a comprehensive and optimized Power BI report that provides valuable insights into sales performance across different regions and product categories for the retail company. I have curated best 80+ top-notch Data Analytics Resources 👇👇 https://topmate.io/analyst/861634 Hope this helps you