Learn Data Science Today - Data Science Course/Tutorial Beginners 2019!

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    This Data Science Course will give you a Step by Step idea about the Data Science Career, Data science Hands-On Projects, roles & salary offered to a Data Scientist!
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    Data Science FULL Course (Pay via Credit Card) 👉👉 http://bit.ly/2Iyzu0h

    Data Science FULL Course (Pay in your Local Currency)👉 http://bit.ly/2WKvD2g

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    #DataScienceWithPython #DataScienceWithR #DataScienceCourse #DataScience #DataScientist #BusinessAnalytics #MachineLearning


    Watch this Data Science tutorial today to see how and why to start Learning to be a data scientist today!
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    Introduction to Data Science: 3:51- 01:25:00
    3:51 Trainer Introduction: The Instructor Mr. Rajib Layek who is a Business Consultant and Senior data scientist having experience of 8+ years.
    6:24 Course Curriculum Overview
    29:05 Introduction to Data Science
    42:37 Introduction to Business Analytics: practice using optimal business management decisions with the help of graphics and analytical tools
    54:54 Introduction to Machine Learning: It helps computers to learn,act,response like humans and improve their learning from experience without being explicitly programmed.
    01:07:00 How to switch your career into ML
    01:22:00 Introduction To Data Scientist

    INTRODUCTION TO R 1:25:00 - 1:51:00
    1:25:00 Introduction to R
    1:40:00 How to set up R

    R Programming 1:51:00 - 2:46:00
    1:51:00 R Operator
    2:05:00 R Conditional Statement & Loop
    2:17:00 Function in R

    R Data Structure 2:46:00 - 3:35:00
    2:46:00 An Introduction of R Data Structure + Vector
    2:57:00 Matrix, Array and Data Frame
    3:11:00 A Deep Drive to R Data Frame
    3:24:00 Factor
    3:29:00 List

    Import and Export in R 3:35:00 - 4:07:00
    3:35:00 Import CSV Data in R
    3:44:00 Import Text Data in R
    3:47:00 Import Excel, Web Data in R
    4:00:00 Export Data in R - Text
    4:02:00 Export Data in R - CSV & Excel

    Data Manipulation 4:07:00 - 5:40:00
    4:07:00 Apply Function
    4:31:00 Dplyr package
    5:29:00 Date with R

    Data Visualization 5:40:00 - 7:48:00
    5:40:00 Introduction to Data Visualization & Scatter Plot
    5:51:00 Data Visualization - mfrow
    5:59:00 Data Visualization - pch
    6:11:00 Data Visualization - Color
    6:13:00 Data Visualization - Line Chart
    6:16:00 Data Visualization - Bar Plot
    6:23:00 Data Visualization - Pie Chart
    6:29:00 Data Visualization - Histogram
    6:36:00 Data Visualization - Density Plot
    6:39:00 Data Visualization - Box Plot
    6:44:00 Data Visualization - Mosaic Plot and Heat Map
    6:52:00 Data Visualization - 3D Plot
    7:02:00 Correlation Plot and Word Cloud
    7:11:00 Data Visualization - ggplot2

    Machine Learning Toolbox 7:48:00 - 8:14:00

    Business Case Understanding 8:14:00 - 8:27:00

    Data Pre-Processing 8:27:00 - 9:51:00

    SUPERVISED LEARNING : REGRESSION 9:51:00 - 12:56:00
    9:51:00 Linear Regression
    11:50:00 Correlation Part
    12:04:00 Stepwise Regression
    12:32:00 Dummy Variable
    12:45:00 Non Linear

    Capstone Project 12:56:00 - 13:37:00
    12:56:00 Introduction
    13:04:00 Data Understanding
    13:12:00 Lazy Predictor
    13:19:00 Data Preparation
    13:25:00 Data Exploration
    13:29:00 Feature Engineering

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