This document discusses various business analytics tools including programming languages, self-serve tools, auto ML platforms, visualization tools, and deep learning frameworks. It outlines popular languages like R, Python, Scala, and JavaScript. It also lists self-serve tools like SAS, SPSS, and Alteryx. Popular auto ML platforms mentioned are H2O.ai, AWS, KNIME, and GCP. Visualization tools covered are Tableau, Qlik, Power BI, Domo, and Board. Finally, deep learning frameworks discussed are TensorFlow, Keras, PyTorch, MXNet, and Gluon.

1. BUSINESS
ANALYTICSTOOLS
ByVyshnavi.V
181248

2. Programming languages
■ R studio – Open source , IDE for R programming language for statistical computing
and graphics.
■ Python - Interpreted ,high-level general purpose programming language , developed
by Python Software Foundation.
■ Scala –Which combines Object-Oriented and functional programming ,high-level
language.
■ Js - Java Script a high-level interpreted scripting language ,release by ECMA Script
■ Swift – General-purpose multi-paradigm compiled programming language developed
by Apple inc.

3. Self-ServeTools
■ Sas – Statistical Software suite developed by SAS institute for advanced analytics and
used for data management.
■ SPSS – Programming language that is unique to SPSS allows to write commands that
run SPSS procedures ,developed by IBM Corporation.
■ Alteryx – American Computer Software company designed to make advanced
analytics accessible to any data worker.

4. Auto ML Platforms
■ H2o.ai – It is the creator of H20 the leading open source machine learning and artificial
intelligence platform which builds smart applications.
■ AWS - AmazonWeb Services is the world’s most comprehensive adopted cloud
platform and webservices which provides on-demand cloud computing platforms to
individuals and companies.
■ KNIME – Konstanz Information Miner is a free and open-source data analytics
,reporting and integration platform. It integrates various components for ML and data
mining .
■ GCP – It offered by Google ,suite of cloud computing services that runs internally for
its end-user products, such asYou tube and Google search.

5. VisualizationTools
■ Tableau –It is an American interactive data visualization software company used to
understand and simplifies raw data .
■ Qlik - Qlik is a software company whose main products are QlikView and Qlik
Sense , both software for BI and DV.
■ Power BI - Business Analytics service by Microsoft aims to provide interactive
visualizations and BI capabilities with simple user interface to create own reports and
dashboards.
■ Domo - It is a cloud software company based in BI tools and DV includes muiltiple
data sources , including spread sheets and data bases.
■ Board - It is a BI and Corporate Performance Management (CPM) software vendor
known for its BOARD toolkit.

6. DL Frameworks
■ Tensor Flow – A free and open-source software library for dataflow and symbolic
math library used for ML such as Neural networks.
■ Keras - A open-source neural network library in python running on top of kernel.
■ PYTORCH - Open-source ML library based on theTorch library used for computer
vision and NLP.
■ The Microsoft CognitiveToolkit - A deep learning framework developed by Microsoft
Research .
■ mxnet - Apache MX Net an open-source deep learning framework used to deploy
deep neural networks.
■ Gluon – A new open-source deep learning interface .