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About DataScience :

Yes trainings provides the best training in Data Science, with a proper guidance so that they will be able to present themselves in the IT industry as per industry requirement. By keeping up to date information about the latest trend in Data Science in the IT industry. Yes trainings have design the course of Data Science in such a way to that it satisfies the requirements of the IT industry. As Data Science is a booming career and highly paid job. All of the large companies are moving toward this Data processing technology, so there is a high demand of professional who can fit in the role of Data Scientist.

Data science, otherwise called data driven science, is an inter disciplinary field of logical techniques, procedures, calculations and frameworks to extricate learning or experiences from data in different structures, either organized or unstructured, like data mining.

Data science is an "idea to bind together insights, data examination, machine learning and their related strategies" keeping in mind the end goal to "comprehend and dissect genuine marvels" with data. It utilizes systems and speculations drawn from numerous fields inside the wide territories of arithmetic, measurements, data science, and software engineering, specifically from the subdomains of machine learning, characterization, bunch investigation, vulnerability evaluation, computational science, data mining, databases, and representation.

Yes Trainings is a One of the best quality training center for Data Science online, Classroom and Corporate trainings In Hyderabad . We are providing training through world wide. Yes Trainings is excellent in providing Data science online training in Hyderabad.After Data Science course we will give support for certification, Data Science Resume preparation and how to prepare for interviews

Who Can Learn Datascience :

  • Professionals in Testing field
  • Professionals in Testing field
  • Software Developers
  • Professionals from Analytics background
  • Datawarehousing Professionals
  • Professionals from SAP BI background.

With the growing era of technology and need to constantly update oneself to outstand in the competitive market, Yes Trainings has come to existence to provide people the knowledge about the latest trends in technology . We provide a team of trainers who will put across a thorough and detailed idea about the respective technical courses that you wish to explore .

Previously such precise work was not done on data. But after introduction of Data Science. It became easier to process large amount of data and get result and can follow the trends as per customer choice. Large companies from any field are expecting to process data so the needs of their customer, clients can be met.

Also it helps to find different pattern in the processed data. By which companies can take fast and proper decision. Also Data processing shows the results of changing taste of people.

Datascience Course Content :

  • 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
  • ->> Predictive Modeling Steps and Methodology with Live example:

  • Data Preparation
  • Exploratory Data analysis
  • Model Development
  • Model Validation
  • Model Implementation
  • ->> Multiple linear Regression

  • 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
  • ->> Factor Analysis

    ->> Principle component analysis

  • Assumptions of PCA
  • Working Mechanism of PCA
  • Types of Rotations
  • Standardization
  • Positives and Negatives of PCA
  • ->> CHAID

    ->> CART

    ->> Difference between CHAID and CART

    ->> Random Forest

  • Decision tree vs. Random Forest
  • Data Preparation
  • Missing data imputation
  • Outlier detection
  • Handling imbalance data
  • Random Record selection
  • Random Forest R parameters
  • Random Variable selection
  • Optimal number of variables selection
  • Calculating Out Of Bag (OOB) error rate
  • Calculating Out of Bag Predictions
  • ->> Couple of Real time use cases which are related to Telecom and Retail Industry. Identification of the Churn.

    ->> Segmentation for Marketing Analysis

  •  Need for segmentation
  • Criterion of segmentation
  • Types of distances
  • Clustering algorithms
  • Hierarchical clustering
  • K-means clustering
  • Deciding number of clusters
  • Case study
  • ->> Time Series Components( Trend, Seasonality, Cyclicity and Level) and Decomposition

    ->> Basic Techniques

  • Averages,
  • Smoothening etc
  • ->> Gathering text data from web and other sources

    Processing raw web data

    Collecting twitter data with Twitter API

    ->> Naive Bayes Algorithm

  • Assumptions and of Naïve Bayes
  • Processing of Text data
  • Handling Standard and Text data
  • Building Naïve Bayes Model
  • Understanding standard model metrics
  • Validation of the Models (Re running Vs. Scoring)
  • ->> Sentiment analysis

  • Goal Setting
  • Text Preprocessing
  • Parsing the content
  • Text refinement
  • Analysis and Scoring
  • ->> Live connectivity from R to Tableau

    Generating the Reports and Charts

    Student Faq's :

    • What if i miss a class?

    ->> You will never miss a class at Rstrainings! You can choose either of the two options:

    ->> 1. You can go through the recorded session of the missed class and the class presentation that are available for online viewing through the LMS.

    ->> 2. You can attend the missed session, in any other live batch. Please note, access to the course material will be available for lifetime once you have enrolled into the course.

    • Does Yes Training provide any support sessions if I have difficulty in any topics ?

    ->> Our backend team would be available 24*7 to answer your queries on mail. If in case your query remains unanswered , then we can bring a solution to it by organizing a personal session with our trainer.

    ->> We would assist your queries even after the training is completed and that is the best part of our services.

    ->> Yes Trainings team will always be available to resolve your doubts at any point of time.

    ->> However, please understand that we are not into job placements.

    • Can I attend a demo session before enrolment?

    ->> We have limited number of participants in a live session to maintain the Quality Standards. So, unfortunately participation in a live class without enrolment is not possible.

    ->> However, you can go through the sample class recording and it would give you a clear insight about how are the classes conducted, quality of instructors and the level of interaction in the class.

    • What Modes of Training does RS Trainings offers ?

    ->> Yes Trainings fundamentally offers you classroom and online training sessions Based on Courses. We are also engaged in Corporate trainings for business enterprises. To check the quality of the training, you may review our sample demo sessions .

    • What if I have more queries?

    ->> You can Call us at +91 7680813158 OR Email us at contact@yestrainings.com. We shall be glad to assist you.

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