Introduction to Data Analytics

Introduction to Data Analytics

@VTU COE

2.3
(3) 0 Students
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What you will learn

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Data Analytics is the science of analyzing data to convert information to useful knowledge. This knowledge could help us understand our world better, and in many contexts enable us to make better decisions. While this is the broad and grand objective, the last 20 years has seen steeply decreasing costs to gather, store, and process data, creating an even stronger motivation for the use of empirical approaches to problem solving. This course seeks to present you with a wide range of data analytic techniques and is structured around the broad contours of the different types of data analytics, namely, descriptive, inferential, predictive, and prescriptive analytics.

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Course Overview
Preview 28:56
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Course Overview (cont\'d)
Preview 30:14
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Descriptive Statistics - Graphical Approaches
Preview 28:57
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Descriptive Statistics - Measures of Central Tendency
Preview 26:02
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Descriptive Statistics - Measures of Dispersion
Preview 23:18

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Random Variables and Probability Distributions
Preview 23:37
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Probability Distributions(cont\'d)
Preview 43:01
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Probability Distributions(cont\'d)
Preview 35:55
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Inferential Statistics - Motivation
Preview 37:39
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Inferential Statistics - Single sample tests
Preview 50:35

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Two Sample tests
Preview 36:15
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Type 1 and Type 2 Errors
Preview 14:24
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Confidence Intervals
Preview 15:14
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Short Introduction to Regression
Preview 31:46

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Introduction to Machine Learning
Preview 15:19
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Supervised Learning
Preview 23:43
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Unsupervised Learning
Preview 15:08
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Ordinary Least Squares Regression
Preview 28:10
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Ordinary Least Squares Regression
Preview 28:10
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Simple and Multiple Regression in Excel and Matlab
Preview 40:20
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Regularization/ Coefficients Shrinkage
Preview 28:10
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Preview 18:02
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Tutorial on Weka
Preview 25:00

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Logistic Regression
Preview 29:43
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Training a Logistic Regression Classifier
Preview 29:03
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Classification and Regression Trees
Preview 29:03
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Classification and Regression Trees(cont\'d)
Preview 29:03
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Classification and Regression Trees(cont\'d)
Preview 29:03
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Bias Variance Dichotomy
Preview 24:03
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Preview 29:43
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Support Vector Machines
Preview 29:43
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Support Vector Machines(cont\'d)
Preview 28:10
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Support Vector Machines for Non Linearly Separable Data
Preview 29:03
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Support Vector Machines and Kernel Transformations
Preview 31:46
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Support Vector Machines and Kernel Transformations
Preview 31:46
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Support Vector Machines and Kernel Transformations
Preview 31:46
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Tutorial on Decision Trees
Preview 29:43

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Ensemble Methods and Random Forests
Preview 49:37
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Artificial Neural Networks
Preview 29:03
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Artificial Neural Networks(cont\'d)
Preview 15:19
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Deep Learning
Preview 28:10

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Associative Rule Mining
Preview 28:10
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Association Rule Mining (cont\'d)
Preview 49:37
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Big Data, A small introduction
Preview 18:41
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Big Data - A small introduction (cont\'d)
Preview 15:42

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Clustering Analysis
Preview 28:22
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Clustering Analysis (cont\'d)
Preview 30:37
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Introduction to Experimentation and Active Learning
Preview 33:13
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Introduction to Experimentation and Active Learning(cont\'d)
Preview 25:41
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An Introduction to Online Learning - Reinforcement Learning
Preview 10:11
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An Introduction to Online Learning - Reinforcement Learning (cont\'d)
Preview 20:25

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Summary+ Insights into the Final Exam
Preview 38:11
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2.3

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user
Chandrakanth Shetty

5 months ago

It was good

user
Madan P

5 months ago

While playing most of the videos it shows error. Please fix it as soon as possible

user
Neha Sanadi

6 months ago

i am not able to play the videos ,it says there's an error . only the last video is enabled from this week . please fix this problem

Meet Your Instructor
@VTU COE
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Instructor
3.3 Rating
8558 Students
802 Courses
About Instructor

VTU is one of the largest Technological Universities in India with 24 years of Tradition of excellence in Engineering & Technical Education, Research and Innovations. It came into existence in the year 1998 to cater the needs of Indian industries for trained technical manpower with practical experience and sound theoretical knowledge.

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Free

  • Course Duration
    24 h 43 m 27 s
  • Course Level
    Intermediate
  • Student Enrolled
    0
  • Language
    English
This Course Includes
  • 24 h 43 m 27 s Video Lectures
  • 2 Quizzes
  • 0 Assignments
  • 0 Downloadable Resources
  • Full Lifetime Access
  • Certificate of Completion