Statistical Software Analytics provide an integrated environment for predictive and descriptive modeling, data mining, text analytics, forecasting, optimization, simulation, experimental design and more. From dynamic visualization to predictive modeling, model deployment and process optimization, Statistical Software provides a range of techniques and processes for the collection, classification, analysis and interpretation of data to reveal patterns, anomalies, key variables and relationships, leading ultimately to new insights and better answers faster.

Module-1 (Introduction to Business Analytics)

  • Relevance in industry and need of the hour
  • Types of analytics – Marketing, Risk, Operations, etc
  • Future of analytics and critical requirement

Module-2 (Fundamental of Statistics)

  • Basic statistics; descriptive and summary
  • Inferential statistics
  • Statistical tests

Module-3 (Data Prep & Reduction techniques )

  • Need for data preparation
  • Outlier treatment
  • Flat-liners treatment
  • Missing values treatment
  • Factor Analysis

Module -4 (Customer Segmentation)

  • Basics clustering
  • Deciles analysis
  • Cluster analysis (K-means and Hierarchical)
  • Cluster evaluation and profiling
  • Interpretation of results

Module -5 (Basic Analytics)

  • Statistics Basics Introduction to Data Analytics and Statistical Techniques
  • Types of Variables, measures of central tendency and dispersion
  • Variable Distributions and Probability Distributions
  • Statistics Basics Introduction to Data Analytics and Statistical Techniques
  • Normal Distribution and Properties
  • Export
  • Statistics Basics Introduction to Data Analytics and Statistical Techniques
  • Central Limit Theorem and Application
  • Hypothesis Testing Null/Alternative Hypothesis formulation
  • One Sample, two sample (Paired and Independent) T/Z Tes
  • P Value Interpretation
  • Analysis of Variance (ANOVA)
  • Chi Square Test
  • Non Parametric Tests (Kruskal-Wallis, Mann-Whitney, KS)
  • Correlation

Module-6 (Regression Modeling)

  • Basics of regression analysis
  • Linear regression
  • Logistic regression
  • Interpretation of results
  • Multivariate Regression modeling
  • Fee : RS 23,000
  • Duration : 3 Months

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Analytics with Statistical Software Training Course New Delhi

Statistical Software the is a data analytics tool that is used increasingly in Machine learning, Business Intelligence applications and Data Science. Along with equipping the organization with all necessary equipment to monitor Business Analytics and takes a well-organized decision which will benefit the firm in the future.

After your enrollment to Analytics with Statistical Software Training Course in New Delhi you will be exposed to detail learning programs like Business statistics, Basics Clustering, Cluster analysis, Logistic Regression, Correlation, Statistics Basics Introduction to Data Analytics and Statistical Techniques.

The Statistical Software Visual Analytics helps in analysis of big data in a sorted way and generates powerful insights that the business users themselves can draw inference out of the analytics thus, this relieves IT department of further worries. This enables them to identify trends, spot correlation among data, realize the exceptions, unearth the root cause of such variations and come up with some fresh insights which were they were innocent of.

Analytics with Statistical Software Training Course in New Delhi course can be taken up by business intelligence, analytics, software developers, ETL, mainframe, SQL, testing professionals and data warehouse. Statistical Software BI and Analytics jobs have covered huge are with its feather globally and offers promising salary packages.

One opting for this course should be skilled in mathematics, business intelligence, data mining and statistics, querying language (SQL, Python), JavaScript XML and other big data tools like Spark, Hive, HQL which will assure you of gaining expertise in Analytics.