Best Data Analytics Training Institute in gurgaon - Fee is 16000 Rs

Best Data Analytics Training Institute In gurgaon
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Webtrackker Training Centre


Best Data Analytics Training Institute In gurgaon & Data Analytics Training Institutes In gurgaon

Data Analytics refers to qualitative and quantitative techniques and processes that are used to improve productivity and business profit. Data is extracted and classified to identify and analyze data and behavioral patterns and techniques vary according to the organization's requirements.

Best Data Analytics Training Institute in gurgaon -Data Analytics is a process of inspection, cleaning, transformation and data modeling in order to find useful information formulate conclusions and support decision-making. Data analysis has multiple aspects and approaches, covering different techniques with different names, while they are used in different business, scientific and social sciences.

Data mining is a specific data analysis technique that focuses on modeling and discovering knowledge for predictive rather than descriptive purposes, while business intelligence covers data analyzes based on aggregation, mainly focused on business information.

Webtrackker Technology provides Best Data Analytics Training in gurgaon as per the current industry standards. Our training programs will enable professionals to secure placements in MNCs. Webtrackker Technology is one of the most recommended Data Analytics Training Institute in gurgaon that offers hands on practical knowledge / practical implementation on live projects and will ensure the job with the help of advance level Data Analytics Training Courses. At Webtrackker Technology Data Analytics Training in gurgaon is conducted by specialist working certified corporate professionals having 8+ years of experience in implementing real-time Data Analytics projects.

Webtrackker Technology is well-equipped Data Analytics Training Center in gurgaon. Candidates will implement the following concepts under Data Analytics – Descriptive Statistics, Inferential Statistics, Regression & ANOVA, Prescriptive Analytics, Creating data for analytics through designed experiments, creating data for analytics through Active learning, creating data for analytics through Reinforcement learning, on real time projects along with Data Analytics Placement Training modules like aptitude test preparation etc.

Best Data Analytics Training institute in gurgaon - webtrackker place 100+ candidates in Top MNCs company after completing Data Analytics. webtrackker provide server facility or Lab facility for practical. well furniture, AC class, smart LCD class, Personality development classes, interview session, English speaking session 8+ years of real-time experience Trainers. Webtrackker follow performance check process for every student. webtrackker provides Data Analytics placement training. Data Analytics certification training in gurgaon. We also provide fast track training programs for students

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Top Reasons to Choose WEBTRACKKER for Data Analytics in gurgaon

  • Data Analytics in gurgaon 5 to 7 Students in batch.
  • We will provide you training recording tutorials sessions in case candidate missed any training lecture.
  • Our all training base on live practical and project base as per industry requirement.
  • we follow current industry standards training program
  • all training program provide by our placement partners
  • we conducted daily base training program and also weekend base also We can customize our training program as per candidate requirement
  • our all faculty having 6 to 10+ years current industry experience
  • our all trainer are certified professionals
  • we have 60+ system lab with latest version of hardware and software.
  • we conduct 100 % free personality development classes with Mock Job interviews & Presentation skills
  • we provide 100% free study material in form of E-Book’s, video, Dumps paper, 800 Interview Questions with Project and Source material
  • After completing course we offer course complete Certificate along with 6 months company experience latter
  • Smart classrooms fully equipped with projectors and Wi-Fi connectivity.
  • we offer 100% placement with reference interview call
  • Hostel facilities available at Rs.4,500/- per month

WEBTRACKKER Trainer's Profile for Data Analytics in gurgaon

WEBTRACKKER'S SAS Trainers are:

  • our all faculty having 6 to 10+ years current industry experience
  • our all trainer are working in Top multinational companies like Birlasoft , HCL Technologies, IBM ,TCS, Sapient etc.
  • Are working professionals working in multinational companies such as HCL Technologies, Birlasoft, TCS, IBM, Sapient, Agilent Technologies etc.
  • They are subject specialist and up to date in the subject they have ability to deliver the best knowledge because they continue to spend time in the real world industry
  • They are well connected with Multinational company’s hiring HRs to providing the placement as soon as possible
  • They help to student to develop the ability as per current industry standards to get the success for their dream job

Placement Assistance after Data Analytics in gurgaon

WEBTRACKKER'S 100% Placement Assistance

  • webtrackker Top Placement Company are :- HCL, Wipro, Dell, Birlasoft, TechMahindra, TCS, IBM etc See Webtrackker Recent Placement Clients
  • webtrackker hr team focuses on Group Discussions, personality development, and create students RESUME as per current company standards
  • After completion of 70% training course content, we will arrange the interview calls to students & prepare them to F2F interaction. See webtrackker Recent Placed Candidates

webtrackker Course duration for Data Analytics in gurgaon

  • Fast Track Training Program (4+ hours Saturday And Sunday)
  • Demo Classes (Free Demo Class Time 1 pm Saturday And Sunday)
  • Weekend Training Classes (Saturday, Sunday & Holidays)
Webtrackker Projects

Webtrackker is IT based company in many countries. Webtrackker will provide you a real time projects based traning on SAS like credit card projects, railway projects and so on.

1. Introduction to Data Science

  • Introduction to Big Data
  • Roles played by a Data Scientist
  • Analyzing Big Data using Hadoop and R
  • Methodologies used for analysis
  • The Architecture and Methodologies used to solve the Big Data problems

2. Basic Data Manipulation using R

  • Understanding vectors in R
  • Reading Data, Combining Data
  • Subsetting data
  • Sorting data and some basic data generation functions

3. Machine Learning Techniques Using R Part-1

  • Machine Learning Overview,
  • ML Common Use Cases
  • Understanding Supervised and Unsupervised Learning
  • Techniques, Clustering
  • Similarity Metrics
  • Distance Measure Types: Euclidean, Cosine Measures, Creating predictive models

4. Machine Learning Techniques Using R Part-2

  • Understanding K-Means Clustering
  • Understanding TF-IDF and Cosine Similarity and their application to Vector Space Model
  • Implementing Association rule mining in R

5. Machine Learning Techniques Using R Part-3

  • Understanding Process flow of Supervised Learning Techniques
  • Decision Tree Classifier
  • How to build Decision trees
  • Random Forest Classifier
  • What is Random Forests
  • Features of Random Forest
  • Out of Box Error Estimate and Variable Importance
  • Naive Bayes Classifier

6. Introduction to Hadoop Architecture

  • Hadoop Architecture
  • Common Hadoop commands
  • MapReduce and Data loading techniques (Directly in R and in Hadoop using SQOOP, FLUME, and other Data Loading Techniques)
  • Removing anomalies from the data

7. Integrating R with Hadoop

  • Integrating R with Hadoop using RHadoop and RMR package
  • Exploring RHIPE (R Hadoop Integrated Programming Environment)
  • Writing MapReduce Jobs in R and executing them on Hadoop

8. Mahout Introduction and Algorithm Implementation

  • Implementing Machine Learning Algorithms on larger Data Sets with Apache Mahout

9. Additional Mahout Algorithms and Parallel Processing using R

  • Implementation of different Mahout algorithms
  • Random Forest Classifier with parallel processing Library in R


SAS Certified Solutions





SAS Global Certification program(A00-211)100% Clearance Guaranty

SAS Certified Base Programmer for SAS 9 Credential

 

Base SAS Logo

 

SAS Certified Base Programmer Exam :

  • Number of Questions: 60-65
  • Item Types: multiple-choice & short-answer questions
  • Exam time: 110 Mins.
  • Passing score: 70%
  • Price: $180 USD

SAS–A00-211 (Exam Sections and Blueprint)

Section #: 01 – Accessing Data
  • Use FORMATTED and LIST input to read raw data files.
  • Use INFILE statement options to control processing when reading raw data files.
  • Use various components of an INPUT statement to process raw data files
  • Combine SAS data sets.
  • Access an Excel workbook.
  • Creating Data Structures
  • Create temporary and permanent SAS data sets.
  • Create and manipulate SAS date values.
  • Export data to create standard and comma-delimited raw data files.
  • Control which observations and variables in a SAS data set are processed and output.
Section #: 02 – Managing Data
  • Investigate SAS data libraries using base SAS utility procedures.
  • Sort observations in a SAS data set.
  • Conditionally execute SAS statements.
  • Use assignment statements in the DATA step.
  • Modify variable attributes using options and statements in the DATA step.
  • Accumulate sub-totals and totals using DATA step statements.
  • Use SAS functions to manipulate character data, numeric data, and SAS date values.
  • Use SAS functions to convert character data to numeric and vice versa.
  • Process data using DO LOOPS.
  • Process data using one-dimensional SAS arrays.
  • Validate and clean data
Section #: 03 – Generating Reports
  • Static Techniques and the Test Process
  • Generate list reports using the PRINT procedure.
  • Generate summary reports and frequency tables using base SAS procedures.
  • Enhance reports through use of formats, titles, footnotes & SAS System reporting.
  • Generate reports using ODS statements.
  • Handling Errors
  • Identify and resolve programming logic errors.
  • Recognize and correct syntax errors.
  • Examine and resolve data errors.


SAS Global Certification program(A00-212)100% Clearance Guaranty

SAS Certified Advanced Programmer for SAS 9 Credential

 

advancedSAS

SAS Certified Advanced Programmer Exam :

  • Number of Questions: 60-65
  • Item Types: multiple-choice & short-answer questions
  • Exam time: 120 Mins.
  • Passing score: 65%
  • Price: $180 USD

SAS–A00-212 (Exam Sections and Blueprint)

Section #: 01 – Accessing Data Using SQL
  • Generate detail reports by working with a single table, joining tables, or using set operators in the SQL procedure.
  • Generate summary reports by working with a single table, joining tables, or using set operators in the SQL procedure.
  • Construct sub-queries and in-line views within an SQL procedure step.
  • Compare solving a problem using the SQL procedure versus using traditional SAS programming techniques.
  • Access Dictionary Tables using the SQL procedure.
Section #: 02 – Macro Processing
  • Create and use user-defined and automatic macro variables within the SAS Macro Language.
  • Automate programs by defining and calling macros using the SAS Macro Language.
  • Understand the use of macro functions.
  • Use various system options that are available for macro debugging and displaying values of user-defined and automatic macro variables in the SAS log.
  • Create data-driven programs using SAS Macro Language.
  • Advanced Programming Techniques
  • Demonstrate the use of advanced data look-up techniques such as array processing, hash objects, formats, and combining/merging data.
  • Reduce computing resource requirements by controlling the space required to store SAS data sets using compression techniques, length statements, or eliminating variables and observations.
  • Develop SAS programs which incorporate data step views and use the FCMP procedure.
  • Perform effective benchmarking by using the appropriate SAS System options and interpreting the resulting resource utilization statistics.
  • Identify appropriate applications for using indexes and create them using the DATA step, the DATASETS procedure, or the SQL procedure.
  • Compare techniques to eliminate duplicate data using the DATA step, the SORT procedure, and the SQL procedure.

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SAS training Course in gurgaon, Greater Delhi, Ghaziabad, Gurgaon.

Eligibility & Prerequisite:

The Undergoing a Data Analytics in gurgaon NCR can be advantageous in more ways than one. Leverage SAS knowledge to:

  • BCA/MCA/B.Tech/B.Sc(CS/IT) Students.
  • Fresh Graduates
  • College / School Students
  • Fresh Job Seekers
  • who wants to make career in new technology

Prerequisite: computers Knowledge and any Fresh Graduates


 

 

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Regular Batch ( Mon - Fri) (45 - 60 Days)

  • Duration : 2.5 Months

Weekend Training Batch( Saturday, Sunday & Holidays) (8 Weekends)

  • Duration : 2.5 Months

Fast Track batch - (7 Days)

  • Duration : 1 week

 

 

 

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