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Data Analytics Full Course - 12 Hours | Data Analytics Python | Data Analytics Course 2024 | 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
🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬
🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬
🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬
🌕 Artificial and Machine Learning PGD with E&ICT Academy
📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 2023 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.
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
🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬
🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬
🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬
🌕 Artificial and Machine Learning PGD with E&ICT Academy
📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 2023 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.
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