Datascience Learning

Data Science Training:

Course Introduction

Data Science program help the data scientists to identify the data analytical problems and hence is very useful for most of the organizations. Data scientists are in huge demand and the jobs in India are meant to be grown by 27 percent within couple of years. Having said that there are very few data scientists available in market with the desired skills. So obviously the pay scale of a Data Scientist is high compared to other developers.

Data science help the data scientists to prepare the data for further analysis then analyze that data and visualize that data.

Course Name

Data Science

Course duration

40-50 Hrs

Faculty

Real time Expert

Category

Live Classes

Hadoop Course Content

Hadoop Online training-Complete Course Details HDFS and MAPREDUCE.

  • Introduction about Statistics
  • Different Types of Variables
  • Measures of Central Tendency with examples
  • Measures of Dispersion
  • Probability & Distributions
  • Probability Basics
  • Binomial Distribution and its properties
  • Poisson distribution and its properties
  • Normal distribution and its properties

  • Sampling methods
  • Different methods of estimation
  • Testing of Hypothesis & Tests
  • Analysis of Variance

  • Data Preparation
  • Exploratory Data analysis
  • Model Development
  • Model Validation
  • Model Implementation

  • Linear Regression - Introduction - Applications
  • Assumptions of Linear Regression
  • Building Linear Regression Model
  • Understanding standard metrics (Variable significance, R-square/Adjusted R-Square, Global hypothesis etc)
  • Validation of Linear Regression Models (Re running Vs. Scoring)
  • Standard Business Outputs (Decile Analysis, Error distribution (histogram), Model equation, drivers etc)
  • Interpretation of Results - Business Validation - Implementation on new data
  • Real time case study of Manufacturing and Telecom Industry to estimate the future revenue using the models
  • Logistic Regression - Introduction - Applications
  • Linear Regression Vs. Logistic Regression Vs. Generalized Linear Models
  • Building Logistic Regression Model
  • Understanding standard model metrics (Concordance, Variable significance, Hosmer Lemeshov Test, Gini, KS, Misclassification etc)
  • Validation of Logistic Regression Models (Re running Vs. Scoring)
  • Standard Business Outputs (Decile Analysis, ROC Curve)
  • Probability Cut-offs, Lift charts, Model equation, drivers etc)
  • Interpretation of Results - Business Validation - Implementation on new data
  • Real time case study to Predict the Churn customers in the Banking and Retail industry
  • Partial Least Square Regression
  • Partial Least square Regression - Introduction - Applications
  • Difference between Linear Regression and Partial Least Square Regression
  • Building PLS Model
  • Understanding standard metrics (Variable significance, R-square/Adjusted R-Square, Global hypothesis etc)
  • Interpretation of Results - Business Validation - Implementation on new data
  • Sharing the real time example to identify the key factors which are driving the Revenue

FAQ’s:

Benefit of data science is that you don’t need coding skills to take up this training. One only needs a basic graduation degree and so anyone from a new comer to a experienced working professional can learn data science . Saying that off course Data Science is a difficult field to opt for as it requires a broad skill set and deep knowledge.

Yes the trainer selected for the course are highly experienced and dedicated in their respective field. We at IT Tuition don’t take trainers who don’t have relevant experience.

IT Tuitions offers you classroom and online training modes. Based on your requirement you may opt which training mode you wish to take. We also have expertise in corporate training.

Let’s quickly summarize this query in below information: Flexibility to choose the mode of training (classroom / online). We are also providing corporate training.
Affordable prices.
Flexibility in chosing the time.
Round the clock support from the experts team and backend team.
Exposure to real time projects.
Access to the software for an entire year to practice.
Availability of upgraded training materials and recorded videos .

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