Data Analytics Training
Course Overview
SAS Base
SAS Advanced:
Basic Data handling & Analytics
Advanced Analytics and Predictive Modeling
Excel & VBA
Access & SQL
Tableau
Qlikview
Data Analysis projects
Resume preparation and Interview support
Rethinking CAPEX and OPEX in a cloud-centric world? Information technology is undergoing a seismic shift towards the cloud, a disruption we believe is as game-changing as the transition from mainframes to client/server. This shift will impact every player in the IT world, from service providers and system architects, to developers and end users. We are excited about this transformation and the vast improvements in efficiency, agility and innovation it will bring. Join us for this on-demand webcast and learn how to calculate Total Cost of Ownership by transitioning to Microsoft Azure for your company
Rethinking CAPEX and OPEX in a cloud-centric world? Information technology is undergoing a seismic shift towards the cloud, a disruption we believe is as game-changing as the transition from mainframes to client/server. This shift will impact every player in the IT world, from service providers and system architects, to developers and end users. We are excited about this transformation and the vast improvements in efficiency, agility and innovation it will bring. Join us for this on-demand webcast and learn how to calculate Total Cost of Ownership by transitioning to Microsoft Azure for your company
E learning excel vba programming lesson 4Vijay Perepa
Declaring Variables , Data Types and Examples are discussed in this session. For Complete powerpoint and related Free online class visit www.ameetz.com
How to Design a Better BI and Analytics Experience for Everyoneibi
Forrester's Boris Evelson presents on fundamental strategies for designing a BI and analytics experience that benefits power users, as well as the non-technical business user.
Hadoop et bases de données relationnelles ultra performantes : le meilleur de...Microsoft Décideurs IT
Le modèle traditionnel de traitement des données dans un système décisionnel est arrivé à maturité et atteint ses limites quant au traitement de nouveaux types de données issues des objets connectés, capteurs, données de réseaux sociaux,… Hadoop constitue une des pierres angulaires pour intégrer ces données diverses. Afin de simplifier la transition vers ces nouvelles perspectives, APS et les technologies de virtualisation tels que Polybase permettent de moderniser l’existant en toute simplicité. Dans cette session, nous allons détailler les différents scénarii d’architectures et de cas d’usages possibles pour la modernisation du système décisionnel avec l’utilisation de Polybase via des démonstrations pour répondre aux questions de type : 1. En quoi l’utilisation d’Hadoop permet de répondre aux défis d’alimentation, de collecte des données (ETL) et d’archivage à moindre coût ? 2. Qu’apporte Polybase dans APS avec Hadoop par rapport à un système traditionnel dans un monde où les volumes de données continuent à croitre et à se complexifier et où la consommation des données tend à être en temps réel?
Hadoop et bases de données relationnelles ultra performantes : le meilleur de...Microsoft Technet France
Le modèle traditionnel de traitement des données dans un système décisionnel est arrivé à maturité et atteint ses limites quant au traitement de nouveaux types de données issues des objets connectés, capteurs, données de réseaux sociaux,… Hadoop constitue une des pierres angulaires pour intégrer ces données diverses. Afin de simplifier la transition vers ces nouvelles perspectives, APS et les technologies de virtualisation tels que Polybase permettent de moderniser l’existant en toute simplicité. Dans cette session, nous allons détailler les différents scénarii d’architectures et de cas d’usages possibles pour la modernisation du système décisionnel avec l’utilisation de Polybase via des démonstrations pour répondre aux questions de type : 1. En quoi l’utilisation d’Hadoop permet de répondre aux défis d’alimentation, de collecte des données (ETL) et d’archivage à moindre coût ? 2. Qu’apporte Polybase dans APS avec Hadoop par rapport à un système traditionnel dans un monde où les volumes de données continuent à croitre et à se complexifier et où la consommation des données tend à être en temps réel?
TestGuild and QuerySurge Presentation -DevOps for Data TestingRTTS
This slide deck is from one of our 4 webinars in our half-day series in conjunction with Test Guild.
Chris Thompson and Mike Calabrese, Senior Solution Architects and QuerySurge experts, provide great information, a demo and lots of humor in this webinar on how to implement DevOps for Data in your DataOps pipeline.
This webinar was performed in conjunction with Test Guild.
To watch the video, go to:
https://youtu.be/1ihuRPgY_rs
Achieving Massive Concurrency & Sub-second Query Latency on Cloud Warehouses ...Alluxio, Inc.
Data Orchestration Summit 2020 organized by Alluxio
https://www.alluxio.io/data-orchestration-summit-2020/
Achieving Massive Concurrency & Sub-second Query Latency on Cloud Warehouses & Data Lakes with Kyligence Cloud
George Demarest, Head of Marketing, Kyligence
About Alluxio: alluxio.io
Engage with the open source community on slack: alluxio.io/slack
Brochure data science learning path board-infinity (1)NirupamNishant2
Board Infinity is a best digital marketing and data science institute in mumbai, which is a full-stack career platform for students and jobseekers enabled by personalised learning paths,career coaches and access to various job oppurtunities. We provide online and offline training in Data Science, Digital Marketing, Full stack Web Development,Product management< machine learning and Atrificial Intelligence,Online career counselling and other career solutions
This is the pilot episode of Data & AI Platform Concepts, where I intend to cover all the aspects of Data & AI Platform like Data Systems, Analytics/ML/AI, Cloud Services, DevOps, Governance.
https://www.ankitrathi.com
E learning excel vba programming lesson 4Vijay Perepa
Declaring Variables , Data Types and Examples are discussed in this session. For Complete powerpoint and related Free online class visit www.ameetz.com
How to Design a Better BI and Analytics Experience for Everyoneibi
Forrester's Boris Evelson presents on fundamental strategies for designing a BI and analytics experience that benefits power users, as well as the non-technical business user.
Hadoop et bases de données relationnelles ultra performantes : le meilleur de...Microsoft Décideurs IT
Le modèle traditionnel de traitement des données dans un système décisionnel est arrivé à maturité et atteint ses limites quant au traitement de nouveaux types de données issues des objets connectés, capteurs, données de réseaux sociaux,… Hadoop constitue une des pierres angulaires pour intégrer ces données diverses. Afin de simplifier la transition vers ces nouvelles perspectives, APS et les technologies de virtualisation tels que Polybase permettent de moderniser l’existant en toute simplicité. Dans cette session, nous allons détailler les différents scénarii d’architectures et de cas d’usages possibles pour la modernisation du système décisionnel avec l’utilisation de Polybase via des démonstrations pour répondre aux questions de type : 1. En quoi l’utilisation d’Hadoop permet de répondre aux défis d’alimentation, de collecte des données (ETL) et d’archivage à moindre coût ? 2. Qu’apporte Polybase dans APS avec Hadoop par rapport à un système traditionnel dans un monde où les volumes de données continuent à croitre et à se complexifier et où la consommation des données tend à être en temps réel?
Hadoop et bases de données relationnelles ultra performantes : le meilleur de...Microsoft Technet France
Le modèle traditionnel de traitement des données dans un système décisionnel est arrivé à maturité et atteint ses limites quant au traitement de nouveaux types de données issues des objets connectés, capteurs, données de réseaux sociaux,… Hadoop constitue une des pierres angulaires pour intégrer ces données diverses. Afin de simplifier la transition vers ces nouvelles perspectives, APS et les technologies de virtualisation tels que Polybase permettent de moderniser l’existant en toute simplicité. Dans cette session, nous allons détailler les différents scénarii d’architectures et de cas d’usages possibles pour la modernisation du système décisionnel avec l’utilisation de Polybase via des démonstrations pour répondre aux questions de type : 1. En quoi l’utilisation d’Hadoop permet de répondre aux défis d’alimentation, de collecte des données (ETL) et d’archivage à moindre coût ? 2. Qu’apporte Polybase dans APS avec Hadoop par rapport à un système traditionnel dans un monde où les volumes de données continuent à croitre et à se complexifier et où la consommation des données tend à être en temps réel?
TestGuild and QuerySurge Presentation -DevOps for Data TestingRTTS
This slide deck is from one of our 4 webinars in our half-day series in conjunction with Test Guild.
Chris Thompson and Mike Calabrese, Senior Solution Architects and QuerySurge experts, provide great information, a demo and lots of humor in this webinar on how to implement DevOps for Data in your DataOps pipeline.
This webinar was performed in conjunction with Test Guild.
To watch the video, go to:
https://youtu.be/1ihuRPgY_rs
Achieving Massive Concurrency & Sub-second Query Latency on Cloud Warehouses ...Alluxio, Inc.
Data Orchestration Summit 2020 organized by Alluxio
https://www.alluxio.io/data-orchestration-summit-2020/
Achieving Massive Concurrency & Sub-second Query Latency on Cloud Warehouses & Data Lakes with Kyligence Cloud
George Demarest, Head of Marketing, Kyligence
About Alluxio: alluxio.io
Engage with the open source community on slack: alluxio.io/slack
Brochure data science learning path board-infinity (1)NirupamNishant2
Board Infinity is a best digital marketing and data science institute in mumbai, which is a full-stack career platform for students and jobseekers enabled by personalised learning paths,career coaches and access to various job oppurtunities. We provide online and offline training in Data Science, Digital Marketing, Full stack Web Development,Product management< machine learning and Atrificial Intelligence,Online career counselling and other career solutions
This is the pilot episode of Data & AI Platform Concepts, where I intend to cover all the aspects of Data & AI Platform like Data Systems, Analytics/ML/AI, Cloud Services, DevOps, Governance.
https://www.ankitrathi.com
LoQutus helps organisations to innovate with analytics and to get insights with data visualisation. We also build large scale data layers to enable interaction with core data, and develop data-driven applications to deliver the insights our customers need. During this session we’ll share what we have learned along the way. We’ll show you our framework for self-service analytics & insights, and some successful case studies.
25 plus years of seasoned data professional in building, managing practices, Global Delivery in Big Data Analytics, Big Data Migration from On-premise to GCP and Azure, EDW & BI, Business analytics, SAP HANA, Predictive Analytics, Data QA, Automation of solutions, Big Data Framework & Methodologies, and Data Products Development
[DSC Europe 22] Overview of the Databricks Platform - Petar ZecevicDataScienceConferenc1
Databricks' founders caused a seismic shift in data analysis community when they created Apache Spark which has become a cornerstone of Big Data processing pipelines and tools in large and small companies all around the world. Now they've built a revolutionary, comprehensive and easy-to-use platform around Apache Spark and their other inventions, such as MLFlow and Koalas frameworks and most importantly the Data Lakehouse: a concept of fusing data warehouse and data lake architectures into a single versatile and fast platform. Technical foundation for Databricks Data Lakehouse is Delta Lake. More than 7000 organizations today rely on Databricks to enable massive-scale data engineering, collaborative data science, full-lifecycle machine learning and business analytics. Come to the talk and see the demo to find out why.
Kairos Technologies Inc has been providing consulting and talent management services to corporate America since 2003. Our clients can choose the service type that matches their needs from Staff Augmentation, Direct Placements, and Contract Staffing. Our talent management services can assist across the organization from Account Management, Delivery Management, Finance and Human Resources.
Similar to DV Analytics and SAS Training in Bangalore (20)
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
5. Database
Management
and Reporting
Data
manipulations
and Reporting
using SAS, R,
Sql, Access,
Excel,VBA
Advanced
Analytics
Data
preparation,
Basic data
analysis,
predictive
modeling and
forecasting
using Analytical
techniques
Data
Visualization
and Reporting
Story telling
usingTableau
and Qlikview
9. Topic Duration
SAS and R 30 Hours
Analytics 40 Hours
Excel, Access, SQL &VBA 30 Hours
Qlikview andTableau 20 Hours
Interview Support 20 Hours
Total 140 Hours
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21. 24/7, Inc Calimere Equifax
Absolutdata Capital One Fair Isaac India
Accenture Caterpillar Fidelity
Actiknow consulting Delhi CaterPillar First Order Analytics.
Airtel Citibank Ford Business Service
Amazon Citibank Fractal Analytics
Amba Research Cognizant GE Money
Ameriprise Cognizant General Mills
Amex(American Express) Copalpartners General Mills
Analytics eye Cytel Softwares Genpact
Analytics Quotient Decidyn Global Analytics
ANZ Dell Global Analytics Inc.
AOL Deloitte Global Data
Bank of America Denuosource GlobalData
Barclays Bank Dexterity HDFC Bank
Bharatmatrimony.com Diamond Management AON Analytics
Boston Analytics Dun & Bradstreet HP
Brainmatics Dunnhumby HSBC
Bravo Lucy Ebay IBM
BRIDGEi2i Analytics Ekcelon ICICI Bank
22. Quattro Tata Strategic Management RSG Media Systems
RBS TCS SBI-GE
RCI Tcs-e-serve Scope international
Redpill Solutions TEG Analytics Bangalore SmartAnalyst
Redpill Solutions(Now IBM) Tesco Standard Chartered Bank
RMSI The Smart Cube Swiss Re
Nokia Networks TransOrg Symphony Services
Novartis inc Transunion Target Corp
PharmARC Analytic Solution. Vodafone Yes Bank
WNS Wipro ZS Associates
ICICI Securities Kairoleaf Meritus Global
ICON Kiesquare Analytics Microsoft
Idea Knowledge Foundry Modelytics
Indegene Koncept Analytics Mu-Sigma
Inductis (An EXL Company) Latentview Analytics Netpositive
Infosys Lehmann Brothers Nielsen
Intouch Analytics Madison Business Analytics Prudential
Ipsos Market Equations Jigyasa Analytics
Irevena Marketics-(Now WNS) John Deere
Mathema Analytics MarketRX(Now cognizant) JPMorgan Chase