Understanding Big Data |
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Knowing Big Data |
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00:00:00 |
Job Acceleration Program (JAP) |
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Knowing JAP |
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00:00:00 |
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Elaborating JAP |
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00:00:00 |
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Outcomes of Big Data |
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00:00:00 |
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Data Science Basics |
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00:00:00 |
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Big Data Basic Quiz |
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00:00:30 |
Chalo INDIA Startup Drive |
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All About Chalo INDIA Startup Drive |
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00:00:00 |
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AVODHA Official Malayalam YouTube Channel |
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00:00:00 |
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Regression |
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00:00:00 |
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Structured & Unstructured Basics |
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00:00:00 |
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Hadoop made simple |
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00:00:00 |
Data Mining |
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Introduction to Mining |
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00:00:00 |
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Octoparse Installation & Live Scraping |
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00:00:00 |
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Data Mining Quiz -1 In Malayalam |
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00:03:00 |
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Scraping Quiz |
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00:00:30 |
HADOOP |
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Introduction to HADOOP |
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00:00:00 |
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What is the difference between a Local file system (LFS) and HDFS? |
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00:00:00 |
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HADOOP Distributed File System |
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00:00:00 |
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HADOOP Yarn |
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00:00:00 |
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Hadoop MapReduce |
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00:00:00 |
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Hadoop Installation and Map Reduce Job Execution DEMO |
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00:00:00 |
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Step by Step Guide : Hadoop 3.3.0 installation and MapReduce Job Execution on Windows |
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00:00:00 |
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Step by step Guide Ubuntu (Linux) virtual machine installation on windows and configure Hadoop |
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00:00:00 |
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Hadoop- MapReduce Practical Assignments |
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00:00:00 |
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SQL-Structured Query Language |
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00:00:00 |
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Apache HIVE – Hadoop Ecosystem Tool |
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00:00:00 |
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Step by Step Guide : Apache HIVE installation using Cygwin on Windows & External Table Creation |
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00:00:00 |
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SQL Quiz – Test your Knowledge |
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Unlimited |
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Hadoop – Test your knowledge |
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00:10:00 |
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Apache HIVE-Practical Assignment -Part 1 |
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00:00:00 |
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Apache HIVE-Practical Assignment -Part 1-Continued |
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00:00:00 |
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HIVE Quiz – Test your Knowledge |
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00:03:00 |
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Apache HBase -Hadoop Ecosystem Tool |
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00:00:00 |
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Step by Step Guide : Apache Hbase installation on Windows & Table Creation |
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00:00:00 |
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Apache HBase Practical Assignment |
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00:00:00 |
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Hadoop Eco System- Other Tools |
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00:00:00 |
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Hadoop Ecosystem Final Exit Mid Term Quiz |
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00:10:00 |
Spark |
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Apache Spark – Session 1 |
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00:00:00 |
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Apache Spark -Session 2 |
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00:00:00 |
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Apache Spark Programming Guide |
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00:00:00 |
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Apache Kafka Stream processing and DEMO |
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00:00:00 |
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Apache Spark Streaming |
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00:00:00 |
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Python for Apache Spark – pySpark |
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00:00:00 |
Getting into Azure |
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Big Data and Cloud Computing |
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00:00:00 |
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Microsoft Azure Fundamentals and Overview |
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00:00:00 |
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How to Create a New Microsoft Azure Account |
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00:00:00 |
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Azure Subscription Policies ,Resource Groups and Storage Account |
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00:00:00 |
Starting with Azure |
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Microsoft Azure- Working with Data Storage |
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00:00:00 |
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Microsoft Azure – DataBricks |
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00:00:00 |
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Microsoft Azure- Working with Databricks |
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00:00:00 |
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Microsoft Azure- Cosmos DB |
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00:00:00 |
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Microsoft Azure SQL |
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00:00:00 |
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Microsoft Azure Synapse Analytics and PolyBase |
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00:00:00 |
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Microsoft Azure Stream Analytics and event hubs |
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00:00:00 |
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Microsoft Azure Data Factory Service – ADF |
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00:00:00 |
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Microsoft Azure Creating a Virtual Machine |
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00:00:00 |
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Microsoft Azure : Securing Data Platforms |
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00:00:00 |
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Microsoft Azure – Monitoring and Troubleshooting Data Storage and Processing |
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00:00:00 |
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Microsoft Azure : Data Engineer Associate Certification Path- Part 1 |
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00:00:00 |
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Microsoft Azure : Data Engineer Associate Certification Path- Part 2 |
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00:00:00 |
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Azure Data Engineer Quiz – Test your Knowledge In Malayalam |
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00:10:00 |
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Microsoft Azure Data Engineer Mock Test |
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00:30:00 |
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More resources for you |
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00:00:00 |
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How To Be A Big Data Engineer |
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00:00:00 |
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What are the job opportunities in BigData? |
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00:00:00 |
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How to Prepare for a Job Interview |
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00:00:00 |
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What is the attitude to work in the Industry |
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00:00:00 |
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How to Manage Life and Work |
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00:00:00 |
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How to excel in the field |
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00:00:00 |
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Finishing HADOOP |
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00:00:00 |
Python Basics |
Access to Resources : https://drive.google.com/drive/folders/1fn84P4CVKP97-31RCkDXIT6ixlfBVdYn?usp=sharing |
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Introduction to AI vs ML vs DS |
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00:00:00 |
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Jupyter Notebook and Basic Syntax of Python |
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00:00:00 |
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QUIZ – BASIC SYNTAX |
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00:15:00 |
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Conditionals and Loops |
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00:00:00 |
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Lists and Tuples |
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00:00:00 |
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Strings in Python |
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00:00:00 |
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Dictionary in Python |
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00:00:00 |
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MINI PROJECT: ROCK-PAPER-SCISSORS GAME |
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00:00:00 |
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Functions in Python Part-1 |
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00:00:00 |
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Functions in Python Part-2 |
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00:00:00 |
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MINI PROJECT:SUDOKU SOLVER |
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00:00:00 |
Object Oriented Programming |
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OOPs Intro,Class and Objects |
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00:00:00 |
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Access Modifiers and Inheritance |
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00:00:00 |
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Method overriding,Encapsulation,Polymorphism and imports |
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00:00:00 |
Files and Exception Handling |
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Files and Exception Handling |
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00:00:00 |
Python Full Project |
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Chess with GUI part-1 |
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00:00:00 |
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Chess with GUI part-2 |
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00:00:00 |
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Chess with GUI part-3 |
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00:00:00 |
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Chess with GUI part-4 |
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00:00:00 |
Data Analysis |
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File reading in Pandas |
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00:00:00 |
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File writing in Pandas |
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00:00:00 |
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Getting into data manipulation Part-1 |
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00:00:00 |
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Getting into data manipulation Part-2 |
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00:00:00 |
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Getting into data manipulation Part–3 |
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00:00:00 |
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Getting into data manipulation Part-4 |
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00:00:00 |
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Advanced data manipulation Part-1 |
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00:00:00 |
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Advanced data manipulation Part-2 |
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00:00:00 |
Numpy |
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Numpy array manipulation Part-1 |
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00:00:00 |
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Numpy array manipulation Part-2 |
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00:00:00 |
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Numpy array manipulation Part-3 |
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00:00:00 |
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Numpy array manipulation Part-4 |
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00:00:00 |
Data Visualization |
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Data Visualization with matplotlib Part-1 |
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00:00:00 |
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Data Visualization with matplotlib Part-2 |
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00:00:00 |
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Plotly and Cufflinks part-1 |
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00:00:00 |
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Plotly and Cufflinks part-2 |
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00:00:00 |
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Visualization with Seaborn Part-1 |
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00:00:00 |
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Visualization with Seaborn Part-2 |
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00:00:00 |
DATABASE |
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MySQL |
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00:00:00 |
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SQLite |
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00:00:00 |
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MongoDB |
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00:00:00 |
API and Framework |
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API AND EXECUTION FLOW |
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00:00:00 |
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UNDERSTANDING API BY CREATING CALCULATOR |
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00:00:00 |
EDA AND DATA PREPROCESSING |
SPORTS |
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Virat Kohli ODI Career Analysis |
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00:00:00 |
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Virat Kohli Test Career Analysis |
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00:00:00 |
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CRISTIANO RONALDO GOALS DATA |
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00:00:00 |
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FIFA DATA EXPLORATION |
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00:00:00 |
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When Would Virat Ovetake Sachin in ODI |
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00:00:00 |
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MESSI VS RONALDO LEAGUE PERFORMANCE |
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00:00:00 |
MOVIES AND SERIES |
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MoneyHeist Data Exploration |
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00:00:00 |
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Breaking Bad EDA and a Glimpse of NLP |
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00:00:00 |
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Disney Movies |
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00:00:00 |
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IMDB 1000 MOVIES |
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00:00:00 |
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Netflix Shows |
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00:00:00 |
Banking and Finance |
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Finance Courses in Udemy |
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00:00:00 |
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IBM PAYMENT HISTORY |
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00:00:00 |
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State aggregate expenditure and personal finance data |
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00:00:00 |
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Loan Approval Data |
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00:00:00 |
Statistics With Python |
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Introduction to Statistics |
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00:00:00 |
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Population and Sampling Techniques |
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00:00:00 |
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Variables and Measurements |
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00:00:00 |
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Measures of Central Tendency and Dispersion |
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00:00:00 |
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5 Number Summary |
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00:00:00 |
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Gaussian(Normal) Distribution and Z score |
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00:00:00 |
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Log-Normal,Bernauli,Binomial and More Distributions |
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00:00:00 |
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Standardization and Normalization |
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00:00:00 |
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Probability |
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00:00:00 |
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Permutations and Combinations |
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00:00:00 |
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Hypothesis Testing |
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00:00:00 |
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Z-test,t-test and Chi-Square test |
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00:00:00 |
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Covariance ,Pearson’s Correlation and Spearman’s Correlation |
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00:00:00 |
MACHINE LEARNING |
Section 1 |
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Introduction to Machine Learning |
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00:00:00 |
END TO END ML PROJECT |
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PROJECT_INTRO |
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00:00:00 |
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Sampling and Data Exploration |
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00:00:00 |
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Data Preperation and Pipeline Setting |
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00:00:00 |
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Model Building ,Evaluation and Presentation |
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00:00:00 |
Machine Learning Algorithms |
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Linear Regression |
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00:00:00 |
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R square and Adjusted R Square |
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00:00:00 |
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Linear Regression and R2_Score Practical |
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00:00:00 |
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Ridge and Lasso Regression |
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00:00:00 |
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Ridge and Lasso Regresson Practicals |
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00:00:00 |
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Logistic Regression |
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00:00:00 |
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Confusion Matrix,Precision,Recall and F-Score |
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00:00:00 |
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Logistic Regression,Confusion Matrix practicals |
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00:00:00 |
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Naive Bayes Indepth Intuition |
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00:00:00 |
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ROC AND AUC |
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00:00:00 |
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Naive Bayes ,ROC and AUC Practicals |
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00:00:00 |
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KNN,Euclidean and Manhattan Distance |
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00:00:00 |
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K Means Clustering with Practical |
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00:00:00 |
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Hierarchical and DBSCAN Clustering |
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00:00:00 |
DATA GATHERING PROJECTS |
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1.Web Scraping |
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00:00:00 |
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2.Data Gathering From API |
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00:00:00 |
MACHINE LEARNING FULL PROJECTS |
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1. Salary Prediction(Using Flask and Django) |
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00:00:00 |
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Using Flask Framework |
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00:00:00 |
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Using Django Framework |
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00:00:00 |
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2. Admission Prediction |
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00:00:00 |
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3.Drug Classification |
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00:00:00 |
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4.Diabetes Prediction |
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00:00:00 |
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5. Income Prediction |
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00:00:00 |
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6.ForestCoverClassification |
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00:00:00 |
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7.InsuranceFraudClaimDetection |
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00:00:00 |
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8.Iris Flower Classification with Deployment on Heroku |
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00:00:00 |
StreamLit Projects |
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Introduction to StreamLit Part-1 |
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00:00:00 |
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Introduction to StreamLit Part-2 |
|
00:00:00 |
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Introduction to StreamLit Part-3 |
|
00:00:00 |
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Software Developer Salary Prediction |
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00:00:00 |
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Iris_FLower_Classification Project and Deployment |
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00:00:00 |
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Live Data Dashboard with Deployment |
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00:00:00 |
Business Intelligence and Power BI |
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Introduction to Business intelligence |
|
00:00:00 |
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Basic Charts and UI |
|
00:00:00 |
|
Geographical Maps |
|
00:00:00 |
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Table and Matrix |
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00:00:00 |
BONUS SECTION |
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Final Test |
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Unlimited |
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Congrats ! Submit the course completion form. |
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00:00:00 |