Data Science Online Training|Online Data Science Training in USA, UK, Canada, Australia, India

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A1Trainings

• Data Science Online TrainingOnline Data Science
  Training in USA, UK, Canada, Australia, India

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DATA SCIENCE COURSE CONTENT
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Data Science Introduction and Toolbox Getting
Started with Github

• Introduction to Git
• Introduction to Github
• Creating a Github Repository
• Basic Git Commands
• Basic Markdown

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Getting Started with R

• Overview of R
• R data types and Objects
• Getting Data In and Out of R
• Subsetting R Objects
• Dates and Times

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Getting Started with R

• Control structures
• Functions
• Scoping rules of R
• Coding Standards for R
• Dates and times

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Getting Started with R

• Loop Functions
• Vectorizing a Function
• Debugging
• Profiling R Code
• Simulation

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Data Extraction, Preparation and Manipulation (
R, MYSQL, HDFS, HIVE and SQOOP)Data Extraction

• Downloading Files
• Reading Local Files
• Reading Excel Files
• Reading JSON
• Reading XML
• Reading From WEB
• Reading From API

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Data Extraction

• Reading From HDFS
• Reading From MYSQL
• SQOOP
• Reading FROM HIVE
• Saving and Transporting Object
• Reading Complex Structure

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Data Preparation

• Subsetting and Sorting
• Summarizing Data
• Creating New Variable
• Regular Expression
• Working With Dates

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Data Manipulation

• Managing DataFrame with dplyr package
• Reshaping Data
• Merging Data

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Descriptive Statistics

• Univariate Data and Bivariate Data
• Categorical and Numerical Data
• Frequency Histogram and Bar Charts
• Summarizing Statistical Data
• Box Plot, Scatter Plot, Bar Plot, Pie Chart

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Probability

• Conditional Probability
• Bayes Rule
• Probability Distribution
• Correlation vs Causation
• Average
• Variance
• Outliers
• Statistical Distribution
• Binomial Distribution
• Central Limit Theorem
• Normal Distribution
• 68-95-99.7 Rule
• Relationship Between Binomial and Normal
  Distribution

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Hypothesis Testing

• Hypothesis Testing
• Case Studies

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Inferential Statistics

• Testing of Hypothesis
• Level of Significance
• Comparison Between Sample Mean and Population
  Mean
• z- Test
• t- Test

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ANOVA (f- Test)

• ANCOVA
• MANOVA
• MANCOVA

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Regression and Correlation

• Regression
• Correlation
• CHI-SQUARE

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Principal Of Analytic Graph Introduction to
ggvis

• Exploratory and Explainatory
• Design Principle
• Load ggvis and start to explore
• Plotting System in R
• ggvis - graphics grammar

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Lines and Syntax

• Properties for Lines
• Properties for Points
• Display Model Fits

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Transformations

• ggvis and dplyr

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HTMLWIDGET

• Geo-Spatial Map
• Time Series Chart
• Network Node

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Predictive Models and Machine Learning Algorithm
- Supervised Regression Regression Analysis

• Linear Regression
• Non- Linear Regression
• Polynomial Regression
• Curvilinear Regression

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Multiple Linear Regression

• Collect Data
• Explore and Prepare the data
• Train a model on the data
• Evaluate Model Performance
• Improve Model Performance

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Logistic Regression

• Collect Data
• Explore and Prepare the data
• Train a model on the data
• Evaluate Model Performance
• Improve Model Performance

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Time Series Forecast

• Collect Data
• Explore and Prepare the data
• Train a model on the data
• Evaluate Model Performance
• Improve Model Performance

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Predictive Models and Machine Learning Algorithm
- Supervised ClassificationNaïve Bayes

• Collect Data
• Explore and Prepare the data
• Train a model on the data
• Evaluate Model Performance
• Improve Model Performance

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Support Vector Machine

• Collect Data
• Explore and Prepare the data
• Train a model on the data
• Evaluate Model Performance
• Improve Model Performance

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Random Forest

• Collect Data
• Explore and Prepare the data
• Train a model on the data
• Evaluate Model Performance
• Improve Model Performance

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K- Nearest Neighbors

• Collect Data
• Explore and Prepare the data
• Train a model on the data
• Evaluate Model Performance
• Improve Model Performance

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Classification and Regression Tree (CART)

• Collect Data
• Explore and Prepare the data
• Train a model on the data
• Evaluate Model Performance
• Improve Model Performance

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Predictive Models and Machine Learning Algorithm
- UnsupervisedK Mean Cluster

• Collect Data
• Explore and Prepare the data
• Train a model on the data
• Evaluate Model Performance
• Improve Model Performance

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Apriori Algorithm

• Collect Data
• Explore and Prepare the data
• Train a model on the data
• Evaluate Model Performance
• Improve Model Performance

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Case Study Customer Analytic - Customer
Lifetime Value

• Collect Data
• Explore and Prepare the data
• Train a model on the data
• Evaluate Model Performance
• Improve Model Performance

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Text Mining, Natural Language Processing and
Social Network AnalysisNatural Language
Processing

• Collect Data
• Explore and Prepare the data
• Train a model on the data
• Evaluate Model Performance
• Improve Model Performance

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Social Network Analysis

• Collect Data
• Explore and Prepare the data
• Train a model on the data
• Evaluate Model Performance
• Improve Model Performance

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Capstone Project

• Saving R Script
• Scheduling R Script

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Contact Info

• Address Madhapur, Hyderabad.
• Email contact_at_a1trainings.com
• Call us 7680813158
• Web www.a1trainings.com