Data Analytics is becoming increasingly pervasive across all industries, and data-driven companies are positioned to be successful disruptors.

The ability to unlock hidden value within the data is vital to being competitive in today’s world. Which needs effective data management, data preparation and analytics.

People need Data skills, math and science skills for exploring and analysing data.Big Data is becoming a differentiated strategy today but it will become a fact of life tomorrow.

Data Analytics is the science of extracting problems, trends, and actionable information from large sets of data. It involves improving ways of making sense of data before acting on it.

That is where the Data Scientist plays important role.

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Registered office3rd floor, Opp. Blood bank, NarayangudaHyderabad-29 | Tel : 040-24760226

Extension centrePlot No - 13, 4th Floor, Kavuri Hills, MadhapurHyderabad-81 | Tel : 040-42204812

The founders of Tvashtaa carry with them an extensive experience towards multifaceted dimensions that make an institution successful and predominantly in Data Science Training. Each team member has the right set of skills and experience which enables them to provide the right kind of guidance, handle technical challenges, provide prompt solutions and ensure an assigned task is executed on time with the right quality.

TEAMTVASHTAA

Tel: 040-247 602 26, 728 6900 966 | Info@tvashtaa.com | www.tvashtaa.com

• Highly focused one-to-one training. Limited students per batch• Instructor led classroom training with full access to analytics Lab• 20+ years of industry experienced Ph.D.'s as Mentors• Real-life data projects in Analytics using R &SAS• Career guidance by experienced Data Scientists • Uses insight-driven methods and tools to help organizations• Assessment tests,Expert talks, Mock-interviews• Special focus on basic and advanced statistical skills• Placement assistance

COURSEHIGHLIGHTS

Mentors at Tvashtaa are highly qualified in Statistics, Mathematics & Data mining. The courses are project-based, employing analytic methods, as well as skills specific to data analytics, ethics, and interdisciplinary research skills practiced in a variety of application domains.

MANAGEMENT & MENTORSMost of the Tvashtaa team are Doctorates & Industry professionals. The team together has over 50+ Plus years of experience in Analytics & Consulting, with leading organizations. Their experience provides them deep understanding of Data analytics in wide array of industries and business functions.

" If you do not know how to ask the right question, you discover nothing?

~ W. Edward Deming

Any Engineering/Science/ other graduates, Post-Graduate students and experienced IT professionals who are passionate about Data Analytics career in Machine learning, Predictive Analytics, Business analytics, BigData & Deep learning, wanted to be Future Data Scientists, Data Engineers, Data Analysts & Data Architects can join the training programs.

Regular weekday batches from Monday to Friday & Special weekend Batches for IT employees.

This program is of comprehensive analytics consisting of detailed information of each process of model development using Advanced Statistics. The course curriculum mainly contains most of the classifications & Prediction models, Introduction to Big Data, Analytics tools support Big Data & Deep Learning. The real-life project works on Data Modeling as part of final assessment. The associates who are passionate about Data Analytics career, Future Data Scientists, Data Engineers can join this course.

ADVANCEDDATAANALYTICS

Introduction to Analytics Analytics Methodology

Statistical tools IDescriptive StatisticsSample, Population, Probability, Central Limit TheoremTypes of Distribution, Normal distribution

Statistical tools IISampling techniques Correlation & Regression

Statistical tools IIIHypothesis testing, Framing of hypothesisStatistical significance, p-valueSingle sample and two-sample tests

Statistical tools IVANOVA-one-way, two-way, Post Hoc testsChi-Square Test, Goodness of FitTest for variance

Introduction to 'R'What is "R' & importance of RStatistical Features of 'R"Loading Data File, saving & basic chartsUsing dplyr, handling date objectsWorking with tables, merging tables

Data TreatmentData VisualizationMissing value treatmentUsing reshape2 () to transpose dataworking with strings, Using sqldf

Exploratory Data Analysis-IUnivariate analysis, Bivariate analysisHistograms, Box-plots, Scatter plotsPlots using ggplot2(), ggmap()

Exploratory Data Analysis-IICorrelation analysis, MulticollinearityFactor analysis, Principal component Analysis (PCA)

Data ModellingData Modeling (Supervised & unsupervised)Different modeling techniques

Data Partition Training, Testing & Validation Sample creationData Sampling Techniques

Model ValidationLift & Gain chartsConfusion MatrixKS StatisticsROC curveHosmer-Lemeshow Test

Cluster Analysis Hierarchical ClusteringK-Means clustering

Association rule MiningApriori, MB(Market Basket) AlgorithmRFM (Recency, Frequency, Monetary) Model

COURSE CONTENT FOR ADVANCED DATA ANALYTICS

Classification/Prediction ModelingKNN (K Nearest Neighbors) AlgorithmIntroduction to Decision TreesID3 Tree AlgorithmClassification & Regression Tree (CART) Decision Tree (CHAID) AlgorithmNaïve Bayes Classifier AlgorithmRandom Forest

Predictive ModelingLinear Regression & Logistic RegressionBootstrappingSupport Vector Machines(SVM)

Fraud AnalyticsIntroduction to FraudFraud Business Process

Advanced Statistical ToolsTime series analysisStochastic modeling, Monte-Carlo Method

Text MiningUnstructured DataText Analytics & ClassificationSentiment Analysis

Big Data & AnalyticsBig Data & Hadoop ArchitectureHive and Hbase TechniquesMap-Reduce & Spark

Deep LearningIntroduction to AI techniques

AssessmentProject on K-Means/Logistic Model

DATA ANALYTICS USING RThis Program presents basic range of Data Analytics techniques and is structured around the broad contours of the different types of data analytics methodology such as Data processing, Descriptive Statistics, Probability & Distributions, Exploratory Data Analysis, Cluster Analysis and Predictive Modeling.

BUSINESS ANALYTICSThis program is mix of Data Analytics with Business case studies tailored for MBA’s who is aspiring to move from Business Analysts to Data Analysts Roles. The course curriculum mainly contains Statistics, Analytics and ‘R’ programming. Participants gain knowledge of how the Data model will provide Business Data Insights.

BIGDATA ANALYTICSThe course curriculum mainly contains Big Data Architecture & tools and analytical Programming using Sparktools. This course is suitable for the students/ Professionals who wanted to take up Big Data Careers as Data Architect/Digital Architect.

PYTHON PROGRAMThe Courses offers Python basics like fundamental programming concepts, data structures, Data retrieval, processing and visualizations. Thus helps you hone your programming skills and advance your career in software development & machine learning.

BUSINESS STATISTICSThe course curriculum mainly covers advanced statistical tools using Excel. It is designed to those who wanted to take Business/Data Analysis work.

“Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.”

~ Geoffrey Moore, author and consultant

Tvashtaa uniquenessWhen you are at the top of the roller-coaster and you’re waiting for the drop, you want to be sure the coaster is well-built, well-oiled, and well-maintained. That’s where Tvashtaa analytics come into play. Tvashtaa helps you make informed predictions and assure you to move forward.

This program is of comprehensive analytics consisting of detailed information of each process of model development using Advanced Statistics. The course curriculum mainly contains most of the classifications & Prediction models, Introduction to Big Data, Analytics tools support Big Data & Deep Learning. The real-life project works on Data Modeling as part of final assessment. The associates who are passionate about Data Analytics career, Future Data Scientists, Data Engineers can join this course.

ADVANCEDDATAANALYTICS

Introduction to Analytics Analytics Methodology

Statistical tools IDescriptive StatisticsSample, Population, Probability, Central Limit TheoremTypes of Distribution, Normal distribution

Statistical tools IISampling techniques Correlation & Regression

Statistical tools IIIHypothesis testing, Framing of hypothesisStatistical significance, p-valueSingle sample and two-sample tests

Statistical tools IVANOVA-one-way, two-way, Post Hoc testsChi-Square Test, Goodness of FitTest for variance

Introduction to 'R'What is "R' & importance of RStatistical Features of 'R"Loading Data File, saving & basic chartsUsing dplyr, handling date objectsWorking with tables, merging tables

Data TreatmentData VisualizationMissing value treatmentUsing reshape2 () to transpose dataworking with strings, Using sqldf

Exploratory Data Analysis-IUnivariate analysis, Bivariate analysisHistograms, Box-plots, Scatter plotsPlots using ggplot2(), ggmap()

Exploratory Data Analysis-IICorrelation analysis, MulticollinearityFactor analysis, Principal component Analysis (PCA)

Data ModellingData Modeling (Supervised & unsupervised)Different modeling techniques

Data Partition Training, Testing & Validation Sample creationData Sampling Techniques

Model ValidationLift & Gain chartsConfusion MatrixKS StatisticsROC curveHosmer-Lemeshow Test

Cluster Analysis Hierarchical ClusteringK-Means clustering

Association rule MiningApriori, MB(Market Basket) AlgorithmRFM (Recency, Frequency, Monetary) Model

COURSE CONTENT FOR ADVANCED DATA ANALYTICS

Classification/Prediction ModelingKNN (K Nearest Neighbors) AlgorithmIntroduction to Decision TreesID3 Tree AlgorithmClassification & Regression Tree (CART) Decision Tree (CHAID) AlgorithmNaïve Bayes Classifier AlgorithmRandom Forest

Predictive ModelingLinear Regression & Logistic RegressionBootstrappingSupport Vector Machines(SVM)

Fraud AnalyticsIntroduction to FraudFraud Business Process

Advanced Statistical ToolsTime series analysisStochastic modeling, Monte-Carlo Method

Text MiningUnstructured DataText Analytics & ClassificationSentiment Analysis

Big Data & AnalyticsBig Data & Hadoop ArchitectureHive and Hbase TechniquesMap-Reduce & Spark

Deep LearningIntroduction to AI techniques

AssessmentProject on K-Means/Logistic Model

DATA ANALYTICS USING RThis Program presents basic range of Data Analytics techniques and is structured around the broad contours of the different types of data analytics methodology such as Data processing, Descriptive Statistics, Probability & Distributions, Exploratory Data Analysis, Cluster Analysis and Predictive Modeling.

BUSINESS ANALYTICSThis program is mix of Data Analytics with Business case studies tailored for MBA’s who is aspiring to move from Business Analysts to Data Analysts Roles. The course curriculum mainly contains Statistics, Analytics and ‘R’ programming. Participants gain knowledge of how the Data model will provide Business Data Insights.

BIGDATA ANALYTICSThe course curriculum mainly contains Big Data Architecture & tools and analytical Programming using Sparktools. This course is suitable for the students/ Professionals who wanted to take up Big Data Careers as Data Architect/Digital Architect.

PYTHON PROGRAMThe Courses offers Python basics like fundamental programming concepts, data structures, Data retrieval, processing and visualizations. Thus helps you hone your programming skills and advance your career in software development & machine learning.

BUSINESS STATISTICSThe course curriculum mainly covers advanced statistical tools using Excel. It is designed to those who wanted to take Business/Data Analysis work.

“Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.”

~ Geoffrey Moore, author and consultant

Tvashtaa uniquenessWhen you are at the top of the roller-coaster and you’re waiting for the drop, you want to be sure the coaster is well-built, well-oiled, and well-maintained. That’s where Tvashtaa analytics come into play. Tvashtaa helps you make informed predictions and assure you to move forward.

The founders of Tvashtaa carry with them an extensive experience towards

multifaceted dimensions that make an institution successful and

predominantly in Data Science Training. Each team member has the right set

of skills and experience which enables them to provide the right kind of

guidance, handle technical challenges, provide prompt solutions and ensure

an assigned task is executed on time with the right quality.

TEAMTVASHTAA

• Highly focused one-to-one training. Limited students per batch• Instructor led classroom training with full access to analytics Lab• 20+ years of industry experienced Ph.D.'s as Mentors• Real-life data projects in Analytics using R &SAS• Career guidance by experienced Data Scientists • Uses insight-driven methods and tools to help organizations• Assessment tests,Expert talks, Mock-interviews• Special focus on basic and advanced statistical skills• Placement assistance

COURSEHIGHLIGHTS

Mentors at Tvashtaa are highly qualified in Statistics, Mathematics & Data mining. The courses are project-based, employing analytic methods, as well as skills specific to data analytics, ethics, and interdisciplinary research skills practiced in a variety of application domains.

MANAGEMENT & ME NTORS

Most of the Tvashtaa team are Doctorates & Industry professionals. The team together has over 50+ Plus years of experience in Analytics & Consulting, with leading organizations. Their experience provides them deep understanding of Data analytics in wide array of industries and business functio ns.

" If you do not know how to ask the

~ W. Edward Deming

Any Engineering/Science/ other graduates, Post-Graduate students and experienced IT professionals who are passionate about Data Analytics career in Machine learning, Predictive Analytics, Business analytics, BigData & Deep learning, wanted to be Future Data Scientists, Data Engineers, Data Analysts & Data Architects can join the training programs.

Regular weekday batches from Monday to Friday & Special weekend Batches for IT employees.