Data Science Course | Data Science Tutorial | Intellipaat
1,087🔵 Intellipaat Data Science Training: https://intellipaat.com/data-scientist-course-training/
This is a Live Data Science session conducted by top industry experts. In this live event, we will teach you to complete data science from basics to advance level along with the hands-on demo and also interview preparation. This Data Science Course is especially for beginners who wish to learn data science and make a career in it.
🔵. The following questions are covered in this video:
00:00 - Introduction to Data Science
02:18 - What is Data Science?
32:42 - Why do we need Data Science?
46:25 - Commonly Used Data Science Algorithms
48:49 - Data Science Process
01:16:52 - NumPy Training for Beginners
01:17:27 - How to create NumPy Array?
01:20:16 - NumPy Array Initialization
01:28:39 - NumPy Array Inspection
01:44:20 - NumPy Array Mathematics
01:56:12 - NumPy Array Mathematics: Aggregate Functions
01:58:34 - Concept of Broadcasting
02:01:18 - Array Manipulation in Python
02:04:11 - Splitting Array
02:07:04 - Indexing and Slicing in Python
02:14:10 - Advantages of NumPy over List
02:21:16 - Introduction to SciPy
02:21:27 - What is SciPy
02:22:08 - Characteristics of SciPy
02:23:02 - Sub-packages in SciPy
02:49:58 - Introduction to Pandas
02:53:40 - Pandas vs NumPy
02:55:23 - Pandas series object
03:01:53 - How to Create a DataFramein Pandas
03:08:02 - Merge, Join and Concatenate
03:22:10 - Importing & Analyzing the Dataset
03:43:31 - Introduction to Statistics
03:44:00 - Statistical Terminology
03:47:00 - Sampling Technique
03:55:16 - Types of Data
03:59:22 - Describing Data Through Statistics
04:01:08 - Central Tendencies
04:07:38 - Variability and Spread
04:11:01 - Implementation in R
04:26:09 - Covariance and Correlation
04:37:59 - Types of Hypothesis Testing
05:04:37 - Types of Rescaling
05:05:04 - Normalization and Standardization
05:11:02 - Introduction to Machine Learning
05:16:19 - Artificial Intelligence vs Machine Learning vs Deep Learning
05:18:27 - Types of Machine Learning
05:34:33 - What is Regression?
05:42:18 - Types of Regression
06:02:29 - Logistic Regression Algorithm
06:23:05 - Machine Learning
06:27:14 - Types of Machine Learning
06:45:29 - Hand-on: Machine Learning
07:02:48 - Building Machine Learning Classifier in Python with scikit-learn
07:14:31 - What is Classification?
07:17:06 - Common Classification Problems
07:19:48 - Popular Classification Algorithms
07:23:44 - What is Scikit Learn?
07:27:42 - Why use Scikit Learn?
07:29:26 - Steps in Building Classifier
07:34:28 - Hands-On
07:42:26 - Python Web-scraping
07:47:09 - Use cases of Web-Scrapping
07:50:58 - Is Web-Scraping Legal?
07:54:40 - HTML Basics
08:10:35 - Data Science Interview Guide
08:14:52 - Types of Data science roles
08:54:51 - Interview Stages
09:09:20 - Types of Questions
09:43:46 - Tricks of the trade
10:11:40 - Questions for the Interviewer
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Want to know how to Switch Careers to Data Science? Please check similar Data Science blogs here:- https://goo.gl/mh3hUY
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