Data Science Training in Pune Prwatech

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Data Science Certification Training
Prwatech.in
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Data Science Certification Training
Prwatech.in

• Module 1
• Introduction
• Learning Objectives  Data scientist
  certification in India module one starts with the
  basics of Business Analytics, R basic, R
  programming, Rs role in solving analytical
  problems, Rs popularity in tech giants like-
  Facebook, Google, Finance etc.
• Topics  Business Analytics, R, R language and
  programming, Ecosystem, Uses of R, Data types in
  R, subsetting methods, R comparison with other
  softwares, R installation, operations in R,
  useful packages, IDER, GUI, using functions like-
  length(), str(), ncol() etc, summarize data.

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Data Science Certification Training
Prwatech.in

• Module 2
• Data Manipulation and Data Import Techniques in R
• Learning Objectives  In this module, we will
  discuss about dirty data set, data cleaning,
  which results in data set, and ready for
  analysis, exploring functions, versatility of R,
  robustness of R. This module helps you to
  understand various importing techniques in R
• Topics  Data Cleaning, Data Inspection,
  Troubleshooting the problems, Function uses,
  grepl(), sub(), grep(), Data coerce, apply()
  functions uses, Import data from spreadsheets
  into R, Importing text files into R, import data,
  installation of packages. RDBMS from R, using
  ODBC, SQL queries, Web Scraping.

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Data Science Certification Training
Prwatech.in

• Module 3
• Exploratory Data AnalysisLearning Objectives 
  Data scientist certification in Bangalore module
  3 includes information about exploratory data
  analysis, EDA- for observing what data tell us
  beyond the formal hypothesis. Typical EDA
  process.
• Topics  Exploratory Data Analysis, Implementing
  EDA on datasets, Box plots, cor() in R, EDA
  functions, list(), summarize(), Multiple packages
  in R, various plots, Segment plot, HC plot in R.

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Data Science Certification Training
Prwatech.in

• Module 4
• Data Visualization in R
• Leaning Objectives  In this module you will
  learn about- visualization in USP of R, creating
  simple visualization in R, complex visualization
  in R.
• Topics  Data Visualization, Graphical
  representations, Functions in R, Plotting graphs
  like box plot, table plot and histogram,
  Improvising plots, GUIs, Deducer, R Commander and
  Spatial Analysis.

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Data Science Certification Training
Prwatech.in

• Module 5
• Data Mining Clustering Techniques, Decision
  Trees and Random Forest
• Learning Objectives  In this module we will
  discuss about various Machine Learning
  algorithms, Machine Learning types- Unsupervised
  Learning and Supervised Learning, Difference
  between Unsupervised Learning and Supervised
  Learning. We will also learn about K-means
  Clustering and implementing them, Concepts of
  Decision trees and Random forest, Algorithm
  creation of forests and trees, LMS.
• Topics  Data Mining, Machine Learning
  algorithms, Unsupervised and Supervised Machine,
  K-means clustering, Decision Trees, Random forest
  Algorithm creation, Entropy, features and working
  of Random forest.

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Data Science Certification Training
Prwatech.in

• Module 6
• Linear and Logistic Regression
• Learning Objectives  Data science training in
  Bangalore, module 6, we will introduce-
  Regression Techniques, Linear and logistic
  regression basics, implementation in R.
• Topics  Simple and Multiple Linear Regressions,
  Simple and Multiple Logistic Regression, Log
  Linear Model.

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Data Science Certification Training
Prwatech.in

• Module 7
• Anova and Predictive Analysis
• Learning Objectives  In this module we will
  discuss about the Analysis of Variance, Anova
  Technique, Predictive Analysis.
• Topics  Anova Technique, Sample testing, One and
  Two way Anova, Predictive Analysis.

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Data Science Certification Training
Prwatech.in

• Module 8
• Project Work
• You will be given a problem statement and in this
  module our qualified professionals will help you
  on that statement.
• Perform Exploratory Data Analysis
• Establish hypothesis of data. Handle outliers
  Troubleshooting missing data. Validation
  datasets. Logistic Regression Confusion
  Matrix Final model

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Data Science Certification Training
Prwatech.in