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Course Currilcum

    • Working With Real Data 00:00:00
    • Discovering the match Between Data Science and Python 00:00:00
    • Setting Up Python For Data Science 00:00:00
    • Shaping Data 00:00:00
    • Visualizing the Data 00:00:00
    • EDA 00:00:00
    • eda (continued) 00:00:00
    • statistics 00:00:00
    • eda with statistics 00:00:00
    • Linear Regression Introduction 00:00:00
    • Linear Regression Assumptions 00:00:00
    • Linear regression – practical implementation 00:00:00
    • Linear regression – casestudy from scratch 00:00:00
    • Linear regression – Quick revision part 1 00:00:00
    • Linear regression – quick revision part 2 00:00:00
    • Linear regression – interview questions (part 1) 00:00:00
    • Linear regression – interview questions (part2) 00:00:00
    • Clustering 00:00:00
    • clustering – practical implementation 00:00:00
    • Moving to Logistic Regression 00:00:00
    • Logistic regression practical implementation 00:00:00
    • Learning Lazily with Nearest Neighbors 00:00:00
    • Usecase 1 implementation from scratch 00:00:00
    • Usecase 2 implementation from scratch 00:00:00
    • Ten Data Challenges You Should Take 00:00:00
    • Making Things as Simple as Naïve Bayes 00:00:00
    • Advanced Regression Quiz 00:05:00
    • Data Science Basics 00:00:00
    • Outcomes of Big Data 00:00:00
    • Understanding Big Data 00:00:00
    • Regression 00:00:00
    • Hadoop made simple 00:00:00
    • Basic Regression Quiz 00:05:00
    • AVODHA Official Hindi YouTube Channel 00:00:00
    • Big Data Basic Quiz 00:00:30
    • Structured & Unstructured Basics 00:00:00
    • Introduction to Mining 00:00:00
    • Setting up Data Mining 00:00:00
    • Getting into Data Mining 00:00:00
    • Octaparsing Live 00:00:00
    • Data Mining Quiz -1 00:03:00
    • Introduction to HADOOP 00:00:00
    • What is the difference between a Local file system (LFS) and HDFS? 00:00:00
    • HADOOP Distributed File System 00:00:00
    • HADOOP Yarn 00:00:00
    • Hadoop MapReduce 00:00:00
    • Hadoop Installation and Map aJob Execution DEMO 00:00:00
    • Step by Step Guide : Hadoop 3.3.0 installation and MapReduce Job Execution on Windows 00:00:00
    • Scraping Quiz 00:03:00
    • Step by step Guide Ubuntu (Linux) virtual machine installation on windows and configure Hadoop 00:00:00
    • Hadoop Introduction Quiz 00:01:00
    • Hadoop- MapReduce Practical Assignments 00:00:00
    • SQL-Structured Query Language 00:00:00
    • SQL Quiz – Test your Knowledge 00:03:00
    • Apache HIVE – Hadoop Ecosystem Tool 00:00:00
    • Step by Step Guide : Apache HIVE installation using Cygwin on Windows & External Table Creation 00:00:00
    • Apache HIVE-Practical Assignment -Part 1 00:00:00
    • Quiz 8 00:08:00
    • Apache HIVE-Practical Assignment -Part 1-Continued 00:00:00
    • HIVE Quiz – Test your Knowledge 00:03:00
    • Apache HBase -Hadoop Ecosystem Tool 00:00:00
    • Step by Step Guide : Apache Hbase installation on Windows & Table Creation 00:00:00
    • Apache HBase Practical Assignment 00:00:00
    • Hadoop – Test your knowledge 00:04:00
    • Hadoop Eco System- Other Tools 00:00:00
    • Map Reduce – Test your Knowledge 00:03:00
    • Hadoop Ecosystem Final Exit Mid Term Quiz 00:03:00
    • Apache Spark – Session 1 00:00:00
    • Apache Spark -Session 2 00:00:00
    • Apache Spark Programming Guide 00:00:00
    • Apache Kafka Stream processing and DEMO 00:00:00
    • Apache Spark Streaming 00:00:00
    • Python for Apache Spark – pySpark 00:00:00
    • Big Data and Cloud Computing 00:00:00
    • Microsoft Azure Fundamentals and Overview 00:00:00
    • How to Create a New Microsoft Azure Account 00:00:00
    • Azure Subscription Policies ,Resource Groups and Storage Account 00:00:00
    • QUIZ – BASIC SYNTAX 00:00:00
    • Microsoft Azure- Working with Data Storage 00:00:00
    • Microsoft Azure – DataBricks 00:00:00
    • Microsoft Azure- Working with Databricks 00:00:00
    • Microsoft Azure- Cosmos DB 00:00:00
    • Microsoft Azure SQL 00:00:00
    • Microsoft Azure Synapse Analytics and PolyBase 00:00:00
    • Microsoft Azure Stream Analytics and event hubs 00:00:00
    • Microsoft Azure Data Factory Service – ADF 00:00:00
    • Microsoft Azure Creating a Virtual Machine 00:00:00
    • Microsoft Azure : Securing Data Platforms 00:00:00
    • Microsoft Azure – Monitoring and Troubleshooting Data Storage and Processing 00:00:00
    • Microsoft Azure : Data Engineer Associate Certification Path- Part 1 00:00:00
    • Microsoft Azure : Data Engineer Associate Certification Path- Part 1 00:00:00
    • Azure Data Engineer Quiz – Test your Knowledge 00:00:00
    • More resources for you 00:00:00
    • How To Be A Big Data Engineer 00:00:00
    • Quiz – 9 00:10:00
    • What are the job opportunities in BigData? 00:00:00
    • How to Prepare for a Job Interview 00:00:00
    • What is the attitude to work in the Industry 00:00:00
    • How to Manage Life and Work 00:00:00
    • How to excel in the field 00:00:00
    • Finishing HADOOP 00:00:00
    • Microsoft Azure Data Engineer Mock Test 00:30:00
    • Introduction to AI vs ML vs DS 00:00:00
    • Jupyter Notebook and Basic Syntax of Python 00:00:00
    • Conditionals and Loops 00:00:00
    • Lists and Tuples 00:00:00
    • Strings in Python 00:00:00
    • Dictionary in Python 00:00:00
    • MINI PROJECT: ROCK-PAPER-SCISSORS GAME 00:00:00
    • Functions in Python Part-1 00:00:00
    • Functions in Python Part-2 00:00:00
    • Quiz -10 00:10:00
    • MINI PROJECT:SUDOKU SOLVER 00:00:00
    • OOPs Intro,Class and Objects 00:00:00
    • Access Modifiers and Inheritance 00:00:00
    • Method overriding,Encapsulation,Polymorphism and imports 00:00:00
    • Learning Lazily with Nearest Neighbors 00:00:00
      • FINAL TEST Unlimited
      • Congrats ! Submit the course completion form. 00:00:00
      • Linear Algebra 00:00:00
      • Vector Spaces 00:00:00
      • Linear Independence 00:00:00
      • Matrix Decomposition 00:00:00
      • Machine Learning Basics 00:00:00
      • Machine Learning: Foundational Concepts 00:00:00
      • Machine Learning – Fundamental Algorithms 00:00:00
      • Machine Learning: Hypothesis Space 00:00:00
      • Machine Learning – Basic Practice – Part 1 00:00:00
      • Machine Learning – Basic Practice – Part 2 00:00:00
      • Probability: A Gentle Introduction 00:00:00
      • Probability and Distribution – Part 1 00:00:00
      • Probability and Distribution – Part 2 00:00:00
      • Machine Learning – Problems and Solutions 00:00:00
      • Machine Learning – Advanced Practice 00:00:00
      • Machine Learning – Unsupervised Learning 00:00:00
      • Different Learning Metrics 00:00:00
      • Types and Steps of Data Science 00:00:00
      • Calculus: Derivatives 00:00:00
      • Calculus: Partial Derivatives 00:00:00
      • Calculus: Power Series 00:00:00
      • Calculus: Fundamental Theorem and Lagrange Multipliers 00:00:00
      • Probability and Statistics 00:00:00
      • Python: Introduction and Basics 00:00:00
      • Python: Control Statements 00:00:00
      • Operators 00:00:00
      • Function 00:00:00
      • File Handling 00:00:00
      • Dictionary Functions 00:00:00
      • Data Type – Part 1 00:00:00
      • Data Type – Part 2 00:00:00
      • Data Type – Part 3 00:00:00
      • Anonymous Function 00:00:00
      • Object Oriented Programming 00:00:00
      • Inheritance 00:00:00
      • Regular Expression 00:00:00
      • DBMS – Part 1 00:00:00
      • DBMS – Part 2 00:00:00
      • PostgreSQL 00:00:00
      • MySQL 00:00:00
      • Graphical user Interface: Label 00:00:00
      • Graphical User Interface: Button 00:00:00
      • Graphical User Interface: Grid 00:00:00
      • Graphical User Interface: Widget 00:00:00
      • Graphical User Interface: Class 00:00:00
      • Graphical User Interface: Messagebox 00:00:00
      • Graphical User Interface: Dropdown 00:00:00
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