Data Science Online Training

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ENROLL NOW 50 Hrs (5 Weeks) Online $500

Data Science Online Training

IconITInc is one of the best training institute in leading IT online training. We provide the best Data Science Online Training with our highly professional real-time trainers. Running  Data Science results in dramatically improved performance, simplified administration and streamlined IT landscape resulting in lowering total cost of ownership. IconITInc also does corporate training and help them to train their employees.

Introduction to Data Analytics

  • Origin of R
  • Downloading&Installing R, RStudio
  • Interface of R-
  • R Components.

Data inputting in R

  • Data Types, Data objects & Data structures
  • Creating a vector &Vector operations
  • Subsetting
  • Writing Data
  • Reading Tabular data files
  • Reading CSV data files
  • Initializing Data frame
  • Selecting Data frame columns by position and name.
  • Redirecting R output.

Data Manipulations in R

  • Appending data to a vector
  • Combining Multiple Vectors
  • Merging data frames
  • Data Transformation
  • Control structures
  • Nested loops
  • Splitting
  • String and Dates
  • Handling NA and missing values
  • Matrices & Arrays
  • Functions in R
  • Logical operators
  • Relational operators
  • Generating Random Variables
  • Accessing Variables
  • Matrices multiplication
  • Managing subset of data
  • Data Aggregation
  • Multiple Aggregations
  • 4 Control Structures, Functions
  • Debugging
  • Simulations
  • Plotting – Base Graphics
  • Plotting – Lattice Graphics
  • Plotting – Mathematical Annotations
  • Plotting & Color

Statistics

  • Uni Variate Analysis
  • Measure of Central tendency
  • Dispersions Techniques.
  • Distributions
  • Tests
  • Multi Variate Analysis
  • Correlation
  • Regression

Regression models

  • linear regression models
  • Non Linear regression models
  • Logistic
  • Explore Regression using Excel

Factor Analysis

  • Introduction to PCA
  • Association Rule mining
  • Market basket analysis

Time Series Analysis

  • Importance
  • What is time series Analysis in Business Analytics
  • How is implemented in Business Analytics
  • Forecasting in Business Analytics
  • Time series forecasting in R
  • Time series Decomposition in R
  • Time Series best Practices.

Machine Learning

Introduction to Machine leaning.
Categories of Machine Learning Algorithms

  • Supervised Learning :
  • Unsupervised Learning
  • Reinforcement Learning

Machine Learning Algorithms

  • Linear Regression
  • Logistic Regression
  • Tree Based Modelling
  • k-means
  • KNN (k Nearest Neighbour)
  • Artificial Neural Networks
  • Deep Learning
  • Ensemble Modelling

Machine Learning Algorithms – Practical Implementations

  • Tree Based Modelling
  • k-means
  • KNN (k Nearest Neighbour)
  • Artificial Neural Networks
  • Deep Learning
  • Ensemble Modelling
  • Predictions
  • Model Evaluations

Data Mining

Text Analytics

  • Natural language Processing.
  • Text mining
  • Sentiment Analysis

DWH Concepts:

  • Introduction to OLTP
  • Introduction to DWH/OLAP
  • Reporting Fundamentals
  • Differences from OLTP to OLAP
  • DWH Detailed
  • Dimensions
  • FACT tables
  • Data Modeling
  • Relational Modeling – Normalized schema
  • Dimensional modeling
  • Star Schema
  • Snow flake schema
  • Fact Constellation Schema

Data Visualization.

Tableau with R

  • Integration of R with Tableau
  • Working with tableau using linear regression.

Tableau – Desktop

  • Overview
  • TABLEAU PRODUCTS
  • WHY VISUALIZATION?
  • GETTING STARTED:
  • TABLEAU WORKSPACE
  • DATA WINDOW
  • THE DATAWINDOW ORGANISES FIELDS INTO FOUR AREAS
  • TOOLBAR:
  • CARDS AND SHELVES
  • THE FOLLOWING LIST DESCRIBES EACH CARD AND ITS CONTENTS
  • WORKBOOK
  • CREATING DASHBOARDS
  • SHEET SORTER

CONCEPTS AND OPTIONS WHEN CONNECTING TO DATA

  • TYPES OF DATASOURCES TO CONNECT WITH TABLEAU
  • TO OPEN DATASOURCE
  • DEVELOPING A SAMPLE WORKSHEET
  • USING OF SHOWME
  • SHOW ME WITH MANY FIELDS
  • SAVE YOUR WORK
  • JOINING MULTIPLE TABLES
  • COPYING AND PASTING FORMATTING
  • CREATING AN EXTRACT
  • CONNECTING TO A CUSTOM SQL QUERY
  • ANALYSIS

USING VARIOUS VISUALIZATION CHARTS

  • TYPES OF CHARTS IN TABLEAU
  • BAR CHART
  • HEAT MAP
  • SCATTER PLOT
  • BUILDING A MAP VIEW
  • MAP OPTIONS
  • PIE CHARTS

Analyzing

  • SORTING & GROUPING
  • SORTING SPECIFIC FIELDS
  • GROUPING
  • CREATING GROUPS
  • ALIASES
  • FILTERING
  • QUICK FILTERS
  • TEXT TABLE
  • DRILLING AND DRILL THROUGH
  • TREND LINES AND STATISTICS

FORMATTING

  • ANNOTATIONS AND MARKS LABELS
  • POINT ANNOTATIONS
  • Area Annotations
  • TITLES
  • CAPTIONS

GETTING STARTED WITH CALCULATED FIELDS

  • CALCULATED FIELDS
  • HOW TO CREATE CALCULATED FIELD
  • STRING FUNCTIONS
  • DATE FUNCTIONS
  • LOGICAL FUNCTIONS
  • AGGREGATE FUNCTIONS

Building workbooks &Interactive dashboards

  • Create Workbooks
  • DASHBOARDS
  • CREATING DASHBOARDS
  • ADDING SHEETS TO THE DASHBOARDS
  • ADDING DASHBOARD OBJECTS
  • SHARING SAVING WORKBOOKS TO TABLEAU PUBLIC
  • PUBLISH AS PDF
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