Big Data & Hadoop Master Series (Module #4) - HIVE

In this module of Hadoop Master Series, you will be learning all the details of HIVE. Learn concepts like partitioning, bucketing, importing, serde, UDF etc

Full Star Full Star Full Star Full Star Empty Star  8
  |   5434 Learners
  |   2 - 6 hours  4 Hrs
  |   22 Lectures
  |   Intermediate  Intermediate
Big Data & Hadoop Master Series (Module #5) - Apache PIG

This course is basically intended for users who are interested to learn about Apache Pig and how to work on the huge data sets with ease.

Full Star Full Star Full Star Full Star Empty Star  12
  |   5427 Learners
  |   2 - 6 hours  3 Hrs
  |   18 Lectures
  |   Expert  Expert
Big Data & Hadoop Master Series (Module #6) - Apache Spark

Through this overview course on Apache Spark you shall understand the fundamental mechanisms and basic internals of the framework and understand the need to use Spark.

Full Star Full Star Full Star Full Star Empty Star  9
  |   5057 Learners
  |   Upto 2 hours  2 Hrs
  |   11 Lectures
  |   Intermediate  Intermediate
Big Data & Hadoop Master Series (Module #7) - Apache Oozie

This course is basically intended for users who are interested to learn about Apache Oozie and how to work on the data sets with ease using Oozie Actions, Oozie Workflow and coordinator.

Full Star Full Star Full Star Full Star Empty Star  11
  |   4189 Learners
  |   2 - 6 hours  3 Hrs
  |   14 Lectures
  |   Intermediate  Intermediate
Apache Impala

This comprehensive training on Impala is to understand the features Impala offer for data acquisition, storage, and analysis.

Full Star Full Star Full Star Full Star Empty Star  6
  |   3833 Learners
  |   Upto 2 hours  1 Hrs
  |   7 Lectures
  |   Intermediate  Intermediate
MATLAB - Advance Your Career with MATLAB Programming

In this course you will learn about fundamentals of matlab, all about array and linear equation, polynomial equation, control flow, probability and statistical data, plot the outcome and symbolic equation. Themes of data analysis, visualization, modeling, and programming are explored throughout the course.

Full Star Full Star Full Star Full Star Half Star  12
  |   3905 Learners
  |   6 - 12 hours  9 Hrs
  |   51 Lectures
  |   Appropriate for all  All Levels
EViews

Understanding Econometrics Modelling concepts pertaining to Finance and Financial markets using Eviews.

Full Star Full Star Full Star Full Star Empty Star  7
  |   3590 Learners
  |   6 - 12 hours  8 Hrs
  |   46 Lectures
  |   Appropriate for all  All Levels
QM for Windows - Statistical Analysis Using QM

The course intends to enhance understanding of problem-solving and quantitative analysis through QM 2 software package.

Full Star Full Star Full Star Full Star Empty Star  14
  |   3946 Learners
  |   Upto 2 hours  2 Hrs
  |   13 Lectures
  |   Intermediate  Intermediate
Data Science and Machine Learning with R (Part #3) - Business Analytics with R

Through this course we will learn about business analytics using r, normal, dnorm, pnorm, qnorm, understanding estimation, properties of good estimators, central limit theorem

Full Star Full Star Full Star Full Star Empty Star  15
  |   3638 Learners
  |   2 - 6 hours  3 Hrs
  |   16 Lectures
  |    
Data Science and Machine Learning with R (Part #2) - Statistics with R

In this module of series on Data Science and Machine Learning with R, you will learn about data manipulation & statistics basics, merging, data creation, merge example, what is statistics, variables, quantiles, calculating variance, calculating covariance, cumulative frequency, statistics, probability & distribution etc

Full Star Full Star Full Star Full Star Half Star  10
  |   3566 Learners
  |   2 - 6 hours  6 Hrs
  |   30 Lectures
  |   Intermediate  Intermediate
Data Science and Machine Learning with R (Part #1) - Understanding R

In this module of series on Data Science and Machine Learning with R, you will learn installing r studio, basics of r & function, data types, recycling rule, special numerical values, parallel summary functions, logical conjunctions, pasting strings together, type coercion, array & matrix, factor, repository & packages, installing a package etc

Full Star Full Star Full Star Full Star Empty Star  5
  |   3538 Learners
  |   2 - 6 hours  6 Hrs
  |   33 Lectures
  |   Appropriate for all  All Levels
Financial Analytics

Through this financial analytics training you shall be understanding various Financial and Statistical Formulas & its Analysis with practical examples.

Full Star Full Star Full Star Full Star Empty Star  13
  |   4277 Learners
  |   Upto 2 hours  2 Hrs
  |   12 Lectures
  |   Appropriate for all  All Levels
Regression Modeling with Minitab

Understanding Regression Modelling concepts and its applications across domains viz. Finance, Pharma and Medicine.

Full Star Full Star Full Star Full Star Empty Star  8
  |   7209 Learners
  |   6 - 12 hours  12 Hrs
  |   67 Lectures
  |   Intermediate  Intermediate
Multinomial Regression in SPSS

This course is for you to understand multinomial or polynomial regression modelling concepts of quadratic nature with equation of form Y = m1*X1 + m2*X22 + C + p1B1 + p2B2 + ….. pnBn

Full Star Full Star Full Star Full Star Empty Star  15
  |   4759 Learners
  |   2 - 6 hours  3 Hrs
  |   14 Lectures
  |   Intermediate  Intermediate
Logistic Regression in SPSS

Through this training we will provide you the necessary skills in understanding the logistic regression model and interpreting it for predictions. You shall be understanding binary/dummy variables concepts for logistic regressions.

Full Star Full Star Full Star Full Star Empty Star  14
  |   4821 Learners
  |   2 - 6 hours  3 Hrs
  |   14 Lectures
  |   Intermediate  Intermediate
Multiple Regression Modeling using SPSS

Through this training we will provide you the necessary skills in understanding the multiple regression model and interpreting it for predictions. The associated parameters of the regression model will be interpreted and tested for significance and test the goodness of fit of the given regression model

Full Star Full Star Full Star Full Star Empty Star  5
  |   4927 Learners
  |   2 - 6 hours  3 Hrs
  |   16 Lectures
  |   Expert  Expert
Correlation Techniques Using SPSS

This course on comparable company analysis will help the learner in getting a general overview and understand where comparable comps places itself in the bigger picture of valuation of stocks.

Full Star Full Star Full Star Full Star Empty Star  7
  |   5141 Learners
  |   Upto 2 hours  2 Hrs
  |   12 Lectures
  |   Intermediate  Intermediate
Linear Regression Modeling Using SPSS

Through this training we will provide you the necessary skills in understanding the linear regression model and interpreting it for predictions.

Full Star Full Star Full Star Full Star Empty Star  9
  |   5154 Learners
  |   2 - 6 hours  4 Hrs
  |   23 Lectures
  |   Intermediate  Intermediate
Minitab and Its Application to Predictive Modeling

Understanding Predictive Modelling concepts and its applications across domains viz. Finance, Pharma and Medicine using Minitab software.

Full Star Full Star Full Star Full Star Empty Star  108
  |   7533 Learners
  |   2 - 6 hours  3 Hrs
  |   16 Lectures
  |   Beginner  Beginner
R Studio Anova Techniques Course

This is a online course is to gain fundamental understanding of R-Studio Annova Techniques. The aim is to learn about data science driven hypothesis testing and subsequent decision making.. The tutorials will help you learn about One-way Anova, Ratings, Anova - Randomized Block Design, Anova and the Design of Experiments and Variable reduction technique(Factor Analysis).

Full Star Full Star Full Star Half Star Empty Star  58
  |   18000 Learners
  |   2 - 6 hours  3 Hrs
  |   18 Lectures
  |   Appropriate for all  All Levels
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