Which are Useful Analysis / Data Mining / Data Science Tools?
Data collection: Java/Scala/Python
Data storage: MongoDB and MySQL, Dynamo, GitHub, RabbitMQ
Indexing: We index with Sphinx and are getting going with ElasticSearch/Lucene
Data modelling and exploratory data analysis: R, Python, Hadoop (with java/python/R) as necessary to do large scale data filtering, aggregation and clustering, SAS
Data visualization and analysis: Spotfire, D3 visualizations, Tableau
Running models: Java, Python
Web content mining: Octoparse, Scrapy, Kimono
Other Tools: SAS / Matlab / Microsoft Excel (All for analysis), OpenCV (image processing), NLTK (Natural Language Processing), Trifacta (Data cleaning & manipulation), Qlikview /Microstrategy / Pentaho / SiSense / Oracle BI / SAP BI etc (Business Intelligence), RapidMiner, SQL, KNIME, Hadoop, Spark, Weka (Data mining), Rattle (GUI for data mining)
Kalyan Banga226 Posts
I am Kalyan Banga, a Post Graduate in Business Analytics from Indian Institute of Management (IIM) Calcutta, a premier management institute, ranked best B-School in Asia in FT Masters management global rankings. I have spent 14 years in field of Research & Analytics.
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Interview with Ritesh Mohan Srivastava, Head of Analytics at Yatra - Fusion Analytics World
August 24, 2017 at 3:31 pm[…] and temperament. Â We interview candidates who have just started their career and hate number crunching/data cleaning and settle for nothing less than a predictive modeling project and experienced managers who have […]