Data Science Course | Data Science Full Course | Data Scientist For Beginners | Intellipaat

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In this video on the Data Science course, you will learn what is Data Science, Types of Data Analytics, Life Cycle of Data Science, Data Visualisation, How to Create and Test a Model, Statistics for Data Science, and Probability, R programming, Machine learning, Numpy, Hands-on demo on Book Recommendation System, Skills Required to Become a Data Scientist, Trends in Data Science Science, Data Science vs Data Analytics, Data Science Interview Questions.
This is a must-watch session for everyone who wishes to learn data science and make a career in it.
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00:00 - Introduction
10:15 - How machine learning works?
16:40 - Data
21:15 - Need of data science
49:39 - What is data science?
55:08 - Types of data analytics
01:01:33 - Life cycle of data science
01:22:37 - Data science process
01:29:58 - Data Cleaning
01:30:40 - Data Visualization
01:34:33 - Creating a model
01:51:02 - Converting data into useful information
02:02:02 - Descriptive Statistics
02:25:51 - Basic definitions
02:40:31 - What is probability?
02:59:45 - Variables in R
03:29:01 - Data types in R
03:56:33 - Objects in R
04:35:03 - Quiz
04:46:03 - Hands-on
05:08:01 - Dream Job
05:37:20 - Machine learning types
05:53:50 - What is regression?
06:03:00 - Types of regression
06:18:36 - Understanding linear regression
06:31:24 - Linear regression(Recap)
06:35:04 - What is logistic regression?
06:57:58 - What is classification?
07:08:58 - What is scikit learn?
07:16:18 - Steps in building a classifier
07:27:18 - What is NumPy?
07:38:17 - Initializing Numpy Array
07:54:49 - Find the data type of the array
08:19:32 - Numpy indexing and scaling
08:35:06 - Characteristics of Scipy
09:04:21 - Tasks to be performed
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