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Course Currilcum

    • Introduction to Data Science – Part 1 00:41:43
    • Knowing Big Data 00:18:04
    • Outcomes of Big Data – Part 1 00:26:03
    • Big Data Basic Quiz In English 00:05:00
    • Knowing JAP 00:03:24
    • Elaborating JAP 00:07:04
    • All About Chalo INDIA Startup Drive 00:04:00
    • Structured & Unstructured Basics 00:09:13
    • Hadoop made simple 00:12:37
    • AVODHA Official English YouTube Channel 00:00:49
    • Introduction to Mining 00:19:22
    • Setting up Data Mining 00:08:48
    • Getting into Data Mining 00:23:56
    • Octaparsing Live – Part 1 00:11:19
    • Scraping Quiz 00:03:00
    • Data Mining Quiz -1 In English 00:03:00
    • Introduction to HADOOP 00:15:40
    • What is the difference between a Local file system (LFS) and HDFS? 00:54:54
    • HADOOP Distributed File System 00:39:07
    • How to Create a New Microsoft Azure Account 00:36:48
    • HADOOP Yarn 00:49:50
    • Hadoop MapReduce 00:46:49
    • Step by step Guide Ubuntu (Linux) virtual machine installation on windows and configure Hadoop 00:42:32
    • Hadoop Installation and Map Reduce Job Execution DEMO 00:40:29
    • Hadoop- MapReduce Practical Assignments 00:16:46
    • SQL-Structured Query Language 00:01:06
    • SQL Quiz – Test your Knowledge 00:03:00
    • Apache HIVE – Hadoop Ecosystem Tool 00:01:28
    • Step by Step Guide : Apache HIVE installation using Cygwin on Windows & External Table Creation 00:25:11
    • Apache HIVE-Practical Assignment 00:20:59
    • Apache HIVE-Practical Assignment -Part 1-Continued 00:14:51
    • Apache Spark – Session 1 00:46:48
    • HIVE Quiz – Test your Knowledge 00:03:00
    • Apache HBase Practical Assignment 00:38:25
    • Hadoop Eco System- Other Tools 00:56:37
    • Apache Spark -Session 2 00:01:11
    • Apache Spark Programming Guide 00:53:45
    • Hadoop Ecosystem Final Exit Mid Term Quiz 00:10:00
    • Hadoop – Test your knowledge 00:04:00
    • Apache Kafka Stream processing and DEMO 00:50:41
    • Apache Spark Streaming 00:21:55
    • Python for Apache Spark – pySpark 00:01:02
    • Big Data and Cloud Computing 00:43:08
    • Microsoft Azure Fundamentals and Overview 00:52:30
    • Azure Subscription Policies ,Resource Groups and Storage Account 00:50:07
    • Microsoft Azure- Working with Databricks 00:52:19
    • Microsoft Azure- Cosmos DB 00:44:55
    • Microsoft Azure SQL 00:53:14
    • Microsoft Azure Synapse Analytics and PolyBase 00:01:14
    • Microsoft Azure Stream Analytics and event hubs 00:33:53
    • Microsoft Azure Data Factory Service – ADF 00:01:13
    • Microsoft Azure Creating a Virtual Machine 00:26:32
    • Microsoft Azure : Securing Data Platforms 00:01:03
    • Microsoft Azure – Monitoring and Troubleshooting Data Storage and Processing 00:26:46
    • Microsoft Azure : Data Engineer Associate Certification Path – Part 1 00:54:25
    • Microsoft Azure : Data Engineer Associate Certification Path – Part 2 00:54:15
    • Azure Data Engineer Quiz – Test your Knowledge In English 00:10:00
    • Microsoft Azure Data Engineer Mock Test 00:30:00
    • How To Be A Big Data Engineer 00:46:09
    • What are the job opportunities in BigData? 00:38:48
    • How to Prepare for a Job Interview 00:47:17
    • What is the attitude to work in the Industry 00:33:53
    • How to Manage Life and Work 00:38:33
    • How to excel in the field 00:37:54
    • Introduction to Data Science – Part 2 00:33:56
    • Background of Data Science Part – I 00:31:18
    • MYSQL – QUERIES PART 00:39:54
    • MYSQL – QUERIES PART-3 00:08:59
    • MYSQL – QUERIES PART-4 00:25:03
    • MYSQL – DATA ANALYSIS PART-6 00:01:01
    • MYSQL – DATA ANALYSIS PART-7 00:01:06
    • MYSQL – DATA ANALYSIS PART-8 00:01:00
    • MYSQL – TABLE QUERY 00:02:02
    • MYSQL – TABLE REPLICA PART – Part 1 00:01:01
    • MYSQL – TABLE REPLICA PART – Part 2 00:23:41
    • MYSQL – INSERT RECORDS IN TABLE 00:02:02
    • MYSQL – DUPLICATE TABLE PART – Part 1 00:01:01
    • MYSQL – DATABASE & TABLES PART – Part 1 00:55:03
    • MYSQL – DATABASE & TABLES PART – Part 2 00:37:12
    • MYSQL – DATABASE & TABLES PART-3 00:27:30
    • MYSQL – DUPLICATE TABLE PART – Part 2 00:23:41
    • MYSQL – RENAME TABLES AND VIEWS PART – Part 1 00:23:20
    • MYSQL – RENAME TABLES AND VIEWS PART – Part 2 00:01:32
    • R PROGRAMMING IN DATA SCIENCE (dplyr Library Part) – Part 1 00:37:23
    • R PROGRAMMING IN DATA SCIENCE (dplyr Library Part) – Part 2 00:53:51
    • R PROGRAMMING IN DATA SCIENCE (dplyr Library Part-3) 00:36:36
    • R PROGRAMMING IN DATA SCIENCE (dplyr Library Part-4) 00:35:13
    • R PROGRAMMING IN DATA SCIENCE (dplyr Library Part-5) 00:50:23
    • R PROGRAMMING IN DATA SCIENCE (dplyr Library Part-6) 00:46:23
    • R PROGRAMMING IN DATA SCIENCE (dplyr Library Part-7) 00:41:34
    • R PROGRAMMING IN DATA SCIENCE (dplyr Library Part-8) 00:52:52
    • R PROGRAMMING IN DATA SCIENCE (dplyr Library Part-9) 00:31:04
    • R PROGRAMMING IN DATA SCIENCE (dplyr Library Part0) 00:23:53
    • R PROGRAMMING IN DATA SCIENCE (dplyr Library Part1) 00:32:43
    • R PROGRAMMING IN DATA SCIENCE (dplyr Library Part2) 00:51:52
    • R PROGRAMMING IN DATA SCIENCE (dplyr Library Part3) 00:37:03
    • R PROGRAMMING IN DATA SCIENCE (dplyr Library Part4) 00:41:36
    • R PROGRAMMING IN DATA SCIENCE (dplyr Library Part5) 00:45:10
    • R PROGRAMMING IN DATA SCIENCE (dplyr Library Part6) 00:44:33
    • R PROGRAMMING IN DATA SCIENCE (dplyr Library Part7) 00:35:02
    • R PROGRAMMING IN DATA SCIENCE (dplyr Library Part8) 00:01:00
    • DATA STRUCTURES IN R (PART) – Part 1 00:28:33
    • DATA STRUCTURES IN R (PART) – Part 2 00:44:23
    • DATA STRUCTURES IN R (PART-3) 00:37:21
    • DATA STRUCTURES IN R (PART-4) 00:30:08
    • DATA STRUCTURES IN R (PART-5) 00:51:33
    • DATA STRUCTURES IN R (PART-6) 00:40:34
    • DATA STRUCTURES IN R (PART-7) 00:47:43
    • DATA STRUCTURES IN R (PART-8) 00:40:22
    • Introduction to SQL 00:23:41
    • Installation of MYSQL Workbench 00:40:23
    • MYSQL – DATA TYPES 00:59:15
    • DATA STRUCTURES IN R (PART-9) 00:21:51
    • DATA STRUCTURES IN R (PART0) 00:27:03
    • DATA STRUCTURES IN R (PART1) 00:27:52
    • DATA STRUCTURES IN R (PART2) 00:29:44
    • DATA STRUCTURES IN R (PART3) 00:24:56
    • R PROGRAMMING IN DATA SCIENCE (Conditional Statements Part) – Part 1 00:01:02
    • R PROGRAMMING IN DATA SCIENCE (Conditional Statements Part) – Part 2 00:01:01
    • R PROGRAMMING IN DATA SCIENCE (Conditional Statements Part-3) 00:01:15
    • R PROGRAMMING IN DATA SCIENCE (Loops Part) – Part 1 00:41:13
    • R PROGRAMMING IN DATA SCIENCE (Loops Part) – Part 2 00:39:11
    • R PROGRAMMING IN DATA SCIENCE (Loops Part-3) 00:53:13
    • PYTHON ANALYTICS FOR DATA SCIENCE (PART) – Part 1 00:47:24
    • PYTHON ANALYTICS FOR DATA SCIENCE (PART) – Part 2 00:19:03
    • PYTHON ANALYTICS FOR DATA SCIENCE (PART-3) 00:27:36
    • PYTHON ANALYTICS FOR DATA SCIENCE (PART-4) 00:42:13
    • R PROGRAMMING IN DATA SCIENCE (Comparison R and Python Part) 00:35:43
    • PYTHON ANALYTICS FOR DATA SCIENCE (PART-5) 00:44:49
    • PYTHON ANALYTICS FOR DATA SCIENCE (PART-6) 00:39:03
    • Octaparsing Live – Part 2 00:32:12
    • Introduction and Installation (Python) 00:01:08
    • Basic data structures (lists, tuples, sets, dict) 00:01:06
    • Basic data structures (lists, tuples, sets, dict) part 2 00:01:16
    • Basic data structures (lists, tuples, sets, dict) part 3 00:01:06
    • Basic data structures (lists, tuples, sets, dict) part 4 00:01:04
    • Basic data structures (lists, tuples, sets, dict) part 5 00:01:51
    • Basic data structures (lists, tuples, sets, dict) part 6 00:01:43
    • Basic data structures (lists, tuples, sets, dict) part 7 00:01:21
    • Basic data structures (lists, tuples, sets, dict) part 8 00:01:01
    • Python for Data Science 00:56:08
    • Python Fundamentals for Data Science and Machine Learning 00:32:34
    • Python Conditional Statements Part 00:01:07
    • Outcomes of Big Data – Part 2 00:28:23
    • Data Science Basics & Methods 00:21:11
    • Regression Part – Part 1 00:25:59
    • Regression Part – Part 2 00:36:18
    • Regression Part-3 00:22:21
    • Regression Part-4 00:27:37
    • FINAL TEST Unlimited
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