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Top 8 Data Science Tools | Open Source Tools for Data Scientists | Edureka
The document provides an overview of data science, emphasizing its role in extracting knowledge and insights from data using scientific methods for various applications. It details various data science tools for data manipulation, exploration, storage, visualization, and model building, highlighting their user-friendly features and integration capabilities with systems like Hadoop. These tools are designed to enable efficient data analysis and machine learning without extensive programming knowledge.
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Introduction to Data Science, its process, applications, and the tools available for manipulation, storage, EDA, and visualization.
Introduction to various data science tools that facilitate data collection, EDA, modeling, and visualization with a user-friendly interface.
Focus on data storage tools like Hadoop's HDFS, Apache Hadoop and Spark for managing large data sets and integrating processing systems.
Tools specifically designed for EDA, utilizing ETL architecture for data management and supporting predictive modeling.
Tools for data modeling that support various ML applications, including Deep Learning and parallel programming for efficient model evaluation.
Tools for visualizing large data sets, generating insights, creating reports, dashboards, and leveraging in-memory processing.
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Top 8 Data Science Tools | Open Source Tools for Data Scientists | Edureka
- 2. INTRODUCTION TO DATASCIENCE DATA SCIENCE TOOLS DATA SCIENCE TOOLS FOR DATA MANIPULATION DATA SCIENCE TOOLS FOR EDA www.edureka.co DATA SCIENCE TOOLS FOR DATA STORAGE DATA SCIENCE TOOLS FOR DATA VISUALIZATION
- 3. INTRODUCTION TO DATASCIENCE www.edureka.co
- 4. Introduction To DataScience www.edureka.co Data Science is the process of extracting knowledge and insights from data by using scientific methods. Data Science involves collecting, analysing and modelling data to solve real-world problems. It is used for fraud detection, disease detection, recommendation engines and so on.
- 5.
- 6. Data Science Toolscome with pre-defined functions, algorithms, and a very user-friendly GUI. Hence, they can be used to build convoluted Machine Learning models without the use of a programming language. DATA SCIENCE TOOLS Data Science Data Collection Exploratory Data Analysis Data Modelling Data Visualization www.edureka.co
- 7. DATA SCIENCE TOOLSFOR DATA STORAGE www.edureka.co
- 8. Scale and managemassive amounts of data Hadoop Distributed File System (HDFS) for data storage Integrate with , Hadoop MapReduce, Hadoop YARN www.edureka.co
- 9. Data processing viaApache Hadoop and Spark clusters The default storage system is Windows Azure Blob Provides Microsoft R Server www.edureka.co
- 10. DATA SCIENCE TOOLSFOR EDA www.edureka.co
- 11. Data Integration toolbased on Extract Transform Load architecture Extract Transform Load tool to manage data Support for distributed processing, grid computing, adaptive load balancing. www.edureka.co
- 12. Data processing, building MachineLearning models, etc Support for integrating Hadoop framework Generate predictive models through automated modelling www.edureka.co
- 13. DATA SCIENCE TOOLSFOR DATA MODELLING www.edureka.co
- 14. Easy to applyMachine Learning Supports GLM, Boosting ML models & Deep Learning Support to integrate with Apache Hadoop www.edureka.co
- 15. Supports parallel programmingto perform data analysis, data modelling, etc Tests and trains Machine Learning models at lightning fast speed Makes model evaluation much easier. www.edureka.co
- 16. DATA SCIENCE TOOLSFOR VISUALIZATION www.edureka.co
- 17. Can visualize massivedata sets to find correlations and patterns Create customized reports and dashboards Support to integrate with Apache Hadoop www.edureka.co
- 18. Clear & concisevisualizations Supports in-memory data processing Automatically generates data associations www.edureka.co
- 19.