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Course Curriculum

  • Dictionary in Python 00:00:00
    • Data Science with Python
    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 Na��ve Bayes 00:00:00
    Advanced Regression Quiz 00:05:00
    Understanding Big Data
    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
    Data Mining
    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
    HADOOP
    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
    Spark
    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
    Getting into Azure
    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
    Starting with Azure
    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
    Python Basics
    Submit all your assignments through github link
    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
    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
    Object Oriented Programming
    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
    QUIZ SECTION
    BONUS SECTION
    FINAL TEST Unlimited
    Congrats ! Submit the course completion form. 00:00:00
    Essential Mathematics
    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 for Data Science
    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
    Database Management
    DBMS – Part 1 00:00:00
    DBMS – Part 2 00:00:00
    PostgreSQL 00:00:00
    MySQL 00:00:00
    Graphical User Interface
    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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