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Data Science Machine Learning Training

Advertiser: FuturePoint Location: Mumbai Posted: Jan 15, 2018 3:10:35 PM Hits: 114

Data Science Machine Learning Training

Ref: CS153442
Data Analytics_ Science
Exploratory Data Analysis (SPSS , R & Machine Learning)

Prerequisites for this Course:
 Knowledge on Excel.
 Idea about Data base.
 Knowledge on Mathematics is advance.
 Software Installation Purpose (Windows 7 above 64-bit), MS-Office.

Course Description:
Data Analytics & Science plays a key role in the Social and Sciences of the data. Data Analyst is very help full to very one and they explain Business queries to customers in easy manner. The Analyst explains the predictive details for research area of Business Data through Graphical representation, life tables and model formation of the Business Problem. Data Analytics is a theoretical combination of Statistics & Data Mining. Statistics plays very important role in the Data Analytics. Statistics provides the detailed information of the Business Problem and Data Mining gives information about Decision details of Business Problem. The Data Analytics gives the clear picture of Decision Management and statistical Inference of Business Problem.

S.No Topic Duration In Hours Description

Data Analysis With SPSS
1 Fundamentals Of SPSS 1 Data Types, Data Import & Export, Data Base Connections.
2 Descriptive Statistics 2 Basic information of Data.
Data Manipulation 1 Recode the variable values,
Sort, Filter, Split files, Grouping.
4 Generating Data 1 Generating Random data using Distribution.
5 Data Visualization 1 Creating Graphs for Business Problem.
6 Correlation & Regression 2 Relationship bw variables and model building for data.
7 Hypothesis 4 Parametric test and Non Parametric tests.
8 ANOVA 4 Application of One way, 2 way and MANOVA for complex experimental designs.
9 Classification of Data Analysis 2 Application of Cluster Analysis.
10 Data Reduction Technique 2 Application of Factor Analysis and Discernment Analysis.
11 Survival Analysis 2 Importance of Survival Analysis in real life.
12 Predictive Analysis 2 Time series of Data.
13 Decision Management 2 Decision Tree, Neural Network.
14 Model Building 2 Regression Types.
15 Document Preparation 1 Output preparation for Business Data.

Data Analysis With R
16 Packages& Installations 2 Use of Package & Installation in R.
17 Data Manipulation 5 Data Fames, Vectors, Functions, Arrays, Matrix.
18 Statistical Concepts 10 Central tendency, Relationship bw Variables, Model Building, mean difference bw Variables.
19 Advanced Statistical Concepts 15 MANOVA, Classification Methods, Predictive Modeling & Machine Learning.
20 Package Creation 4 Creating Own Packages in R.

21 Machine learning 10 Regression, logistic, Box plot and Outliers.
22 Machine learning 15 Decision tree, KNN, Naive Bayes, K means, Random Forest, Dimensionality Reduction Methods.
Total = 90

“We also provide classes for SPSS, SPSS Modeler, R and Base & Advanced Statistics”.

Courses Offerings

• Amazon Web Services
• Android
• AIX Administration
• Business Analyst
• Build and Release
• CA Siteminder
• CCNA, CCNP Security, CCIE , CheckPoint
• Citrix XenApp
• Cognos 10 BI & Tm1
• Crystal Reports
• Data Stage
• Dell Bhoomi
• Dev Ops
• Dot Net
• Google Web Tool Kit
• Golden Gate
• Hadoop
• Hyperion Essabase, Planning, HFR , HFM , DRM
• IBM Websphere Commerce server Admin
• IBM Lotus Notes (Development)
• IBM Lotus Notes Domino Server Administration
• IBM Message Broker
• IBM MQ Series Administration
• IBM Netezza DBA & Development
• IBM Tivoli Access Manager
• IBM Web Sphere Application Server Administration (WAS)
• IBM Websphere Transformation extender (WTX 8.2)
• IBM Integration BUS ( IIB )
• Informatica
• I Phone
• Swift Language training
• Java/J2EE
• Java Apache Wicket
• Linux Administration training
• Mango DB
• MicroSoft .NET Technologies (VB.NET, C#, ASP.NET, Wcf ,Wpf ,Mvc)
• Microstrategy
• MicroSoft Business Intelligence MSBI
• MS Power BI
• OBIEE 11 g , 12c
• ODI ( Oracle Data Integrator)
• Openstack
• Oracle APPS – HRMS, SCM, Manufacturing , Technical , ASCP .Dmantra
• Oracle APPS – Project Accounting
• Oracle APPS - iProcurement , iSupplier, Sourcing
• Oracle BI Apps
• Oracle BI Publisher
• Oracle DBA 11g
• Oracle RAC , Data Guard , Performance Tuning,
• Oracle Fusion SOA

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