Data Analytics Full Course - 12 Hours | Data Analytics Python | Data Analytics Course 2023 | Edureka

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In this Edureka Data Analyst Full Course video, you will learn what data analytics is, why data analytics is necessary, the types of data analytics, and the various data analytics applications. You will then understand a case study and perform analysis of data. Finally, we’ll see the top interview questions that will help you crack a data analyst interview.
00:00:00 Introduction
00:01:12 Agenda
00:03:31 What is Data Analytics
00:05:13 Why become a Data Analytic
00:06:52 Job Description of Data Analyst
00:34:48 What is Numpy?
00:46:39 Numpy Operations
01:02:43 Numpy Special Function
01:05:15 Pandas
02:07:50 Why Data Visualization
02:10:22 What is Data Visualization?
02:31:00 Plots
02:38:16 Working with Multiple Plots
02:40:48 Seaborn vs Matplotlib
02:58:34 What is Data?
02:59:24 Types of Data
03:07:01 Variables
03:12:56 Sample
03:18:51 Statistics in data analytics
03:29:00 Information Gain and entropy
03:39:09 What is Probability ?
03:45:04 Data and distribution
03:48:27 Python Use Case:Poker Probability
04:04:31 Introduction of Hypothesis testing
04:23:58 Types of errors
04:35:48 Industry Demonstration
04:56:06 SQL Basis
05:51:04 Why Time series Analysis?
05:52:46 What is Time series
06:02:54 What is stationary ?
06:13:03 Problem Statement
07:35:55 Charts in Excel
08:08:54 Data Analysis using Excel
08:14:49 Covid-19 Data Analysis Project using Python
08:41:52 Benefits of Data Visualization
08:44:25 Data Visualization in Python
09:17:24 World's best playing XI : Analyze FIFA Data
09:39:23 Introduction to Recession
10:03:54 Analytics market in a nutshell
10:09:50 Skills required
10:12:22 Job description
10:24:12 Top 10 Data Analytics tools
10:36:02 Top 10 skills required
10:45:21 Who is Business Analyst?
10:56:20 Role of Data Scientist and data analyst
11:16:38 Interview questions and answers


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