Explore our list of data analytics projects for beginners, final-year students, and professionals. The list consists of guided/unguided projects and tutorials with source code.
DataCamp's practice mode and projects provide hands-on experience with real-world data, helping you consolidate your learning and apply your skills. You can find a list of 20 data analytics projects for all levels to give you some inspiration. Remember, learning data analysis is a journey. It...
Advanced Analytics RickSherman, inBusiness Intelligence Guidebook, 2015 Scope Big Data projectsare often starting off like the first generation ofDW, reporting,OLAP, and dashboard projects (i.e., “if we built it they will come”). Whenever a new technology wave is hyped so extensively, there...
ThinkingDataAnalyticsExtension Example To run the example project, clone the repo, and run pod install from the Example directory first. Requirements Installation ThinkingDataAnalyticsExtension is available through CocoaPods. To install it, simply add the following line to your Podfile: pod 'ThinkingDat...
Many of the example programs print usage help if no params are given. Testing first requiresbuilding Spark. Once Spark is built, tests can be run using: ./dev/run-tests Please see the guidance on how torun tests for a module, or individual tests. ...
These methods are applied in the presentedcase studies. For example, in STL, small data analytics are applied for creating a perfect picture of the current situation and helping the decision-maker component to react in real-time. The system collects environmental information about traffic density, ...
Predictive analytics is used to make predictions and educated forecasts using historical data. It extrapolates trends into the future to understand possible outcomes. Example: A subscription-based streaming service forecasts customer churn by analyzing viewing habits, subscription duration, and customer feed...
IoT devices generate vast amounts of data that must be rapidly processed. For example, a smart city project might gather data from sensors monitoring traffic patterns, air quality levels, and energy consumption rates across the city. A scalable and efficient data pipeline is essential for ingesting...
blog.journeyofanalytics.com. The code can be downloaded or run “LIVE” from Kaggle usingthis link.) Qs for Exploratory Analysis: We will start our analysis with the aim of answering the following questions: How many projects were successful on Kickstarter, by year and category. ...
For example, when churn risk spikes, an automated email campaign would be automatically triggered in your marketing platform, offering personalized retention incentives. Types of Data Analytics Data analytics is typically categorized into four types: descriptive, diagnostic, predictive, and prescriptive. ...