QA Online Training by QA Training Hub

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Thursday May 17th – Friday October 26th 2018

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QA Training Hub is best data science Online Training Center in India. Data science Online Training provided by real time working Professional Mr. Dinesh 18+ years experienced working trainer. Visit: http://www.qatraininghub.com/data-science-online-training.php Contact: Mr. Dinesh Raju : India: +91-8977262627, USA: : +1-845-493-5018, Mail: info@qatraininghub.com


Data Science Online Training Course Content

Introduction to Python Programming

  • Data
  • Big Data
  • Data Science Deep Dive
  • Intro to R Programming
  • R Programming Concepts
  • Data Manipulation in R
  • Data Import Techniques in R
  • Exploratory Data Analysis (EDA) using R
  • Introduction to Data Science
  • Introduction to Python
  • Basic Operations in Python
  • Variable Assignment & Examples
  • Functions: in-built functions, user defined functions & Examples
  • Condition: if, if-else, nested if-else, else-if & Examples

Data Structure's

  • Introduction DS
  • List Operations
  • Different Data Types in a List,List in a List & with Examples
  • Operations on a list: Slicing, Splicing, Sub-setting
  • Conditions(True / False) on a List
  • Applying Functions on a List
  • Dictionary: Index, Value
  • Operation on a Dictionary: Slicing, Splicing, Sub-setting
  • Condition(True / False) on a Dictionary
  • Applying functions on a Dictionary
  • Numpy Array: Data Types in an Array, Dimensions of an Array & with Examples
  • Operations on Array: Slicing, Splicing, Sub-setting
  • Conditional(True / False) on an Array
  • Loops: For, While with Examples
  • Shorthand for For with Examples
  • Conditions in shorthand for For & with Examples

Basics of Statistics

  • Introduction of Statistics & Plotting
  • Introduction of Seabourn & Matplotlib
  • Univariate Analysis on a Data
  • Plot the Data - Histogram plot
  • Find the distribution
  • Find mean, median and mode of the Data
  • Multiple Data with Same Mean with different sd, same mean & SD but different kurtosis: find mean, sd, plot & Examples
  • Multiple data with different distributions
  • Bootstrapping and sub-setting
  • Making samples from the Data
  • Making stratified samples - covered in bivariate analysis
  • Find the mean of sample
  • Central limit theorem
  • Plotting
  • Hypothesis testing + DOE
  • Bivariate analysis
  • Correlation
  • Scatter plots
  • Making stratified samples
  • Categorical variables
  • Class variable
  • Use of Pandas
  • File I/O
  • Series: Data Types in series, Index
  • Data Frame
  • Series to Data Frame
  • Re-indexing
  • Operations on Data Frame: Slicing, Splicing (also Alternate), Sub-setting
  • Pandas
  • Stat operations on Data Frame
  • Reading from different sources
  • Missing data treatment
  • Merge, join
  • Options for look and feel of data frame
  • Writing to file
  • db operations

Data Manipulation & Visualization

  • Data Aggregation, Filtering and Transforming
  • Lamda Functions
  • Apply, Group-by , Map, Filter and Reduce
  • Visualization
  • Matplotlib, pyplot & Seaborn
  • Scatter plot, histogram, density, heat-map, bar charts
  • Linear Regression
  • Regression - Introduction
  • Linear Regression: Lasso, Ridge
  • Variable Selection
  • Forward & Backward Regression

Logistic Regression

  • Logistic Regression: Lasso, Ridge
  • Naive Bayes
  • Unsupervised Learning - Introduction
  • Distance Concepts , Classification , k nearest
  • Clustering, k means,Multidimensional Scaling
  • PCA
  • Random Forest
  • Decision trees
  • Cart C4.5
  • Random Forest
  • Boosted Trees
  • Gradient Boosting
  • SVM
  • SVM - Introduction
  • Hyper-plane
  • Hyper-plane to segregate to classes
  • Gamma
  • Data Visualization in R
  • Big Data and Hadoop Introduction
  • Understand Hadoop Cluster Architecture
  • Map Reduce Concepts
  • Advanced Map Reduce Concepts
  • Hadoop 2.0 & YARN
  • PIG
  • HIVE
  • HBASE
  • SQOOP
  • Flume & Oozie
  • Statistics + Machine Learning
  • Python
  • Machine Learning Using Python
  • Projects

 

More information about this event



When

Starts: Thursday, May 17th 2018 at 12:00am
Ends: Friday, October 26th 2018 at 9:00am

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Timezone: Asia/Kolkata
Bookings close: July 26th 2018

Contact details

This event is organized by QA Training Hub.

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Telephone 08977262627
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