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Course Currilcum

    • Introduction to Data Science – I 00:00:00
    • Introduction to Data Science – II 00:00:00
    • Data Science @Netflix 00:00:00
    • Data Science Engineer Skillset 00:00:00
    • Job Roles in Data Science 00:00:00
    • Google Collab 00:00:00
    • IDE’s setup -Anaconda Tools 00:00:00
    • Introduction of Statistics 00:00:00
    • Measure of Central Tendency 00:00:00
    • Skewness and Kurtosis 00:00:00
    • Measure of Variability 00:00:00
    • Quartile,Percentile, Histogram,Frequency table 00:00:00
    • Sampling ,Inferential Statistics 00:00:00
    • Normal Distribution ,Z-Score ,P-Value 00:00:00
    • Z-Score,P-Value, Probability Distribution 00:00:00
    • Student’s T Distribution 00:00:00
    • Estimating Population Proportions 00:00:00
    • Python Of Data Science 00:00:00
    • Knowing JAP 00:00:00
    • Elaborating JAP 00:00:00
    • Background and Guiding Principle of Data science 00:00:00
    • Python For Data Science 00:00:00
    • BACKGROUND AND GUIDING PRINCIPLES 00:00:00
    • All about Chalo India Startup drive 00:00:00
    • PYTHON FUNDAMENTALS FOR BEGINNERS IN DATA SCIENCE (PART-1) 00:00:00
    • PYTHON FUNDAMENTALS FOR BEGINNERS IN DATA SCIENCE(PART-2) 00:00:00
    • STEP BY STEP PROCEDURE FOR LIFE CYCLE OF A DATA SCIENCE PROJECT 00:00:00
    • STEP BY STEP IMPLEMENTATION OF DATA SCIENCE 00:00:00
    • PYTHON ANALYTICS FOR DATA SCIENCE(PART-1) 00:00:00
    • PYTHON ANALYTICS FOR DATA SCIENCE(PART-2) 00:00:00
    • PYTHON FOR DATA SCIENCE 00:00:00
    • PYTHON FUNDAMENTALS FOR BEGINNERS IN DATA SCIENCE (PART-1) 00:00:00
    • Python Fundamentals For Beginners In Data Science (Part-2) 00:00:00
    • BACKGROUND AND GUIDING PRINCIPLES OF DATA SCIENCE 00:00:00
    • DATA SCIENCE AS SCIENCE 00:00:00
    • STEP BY STEP IMPLEMENTATION ON DATA SCIENCE PROJECT 00:00:00
    • PYTHON ANALYTICS FOR DATA SCIENCE (PART-1) 00:00:00
    • PYTHON ANALYTICS FOR DATA SCIENCE(PART-2) 00:00:00
    • R PROGRAMMING IN DATA SCIENCE 00:00:00
    • R PROGRAMMING IN DATA SCIENCE 00:00:00
    • PYTHON ANALYTICS FOR DATA SCIENCE (PART-3) 00:00:00
    • DATA STRUCTURES IN R(PART-1) 00:00:00
    • WHY STATISTICS NEEDED FOR DATA SCIENCE(PART-1) 00:00:00
    • Why Statistics Needed For Data Science(Part-2) 00:00:00
    • OOPS IN PYTHON (PART-1) 00:00:00
    • R BASICS 00:00:00
    • OOPS IN PYTHON(PART-2) 00:00:00
    • PYTHON ANALYTICS FOR DATA SCIENCE(PART-4) 00:00:00
    • USING IPL SAMPLE DATA IN DATA SCIENCE PROJECT 00:00:00
    • DATA STRUCTURES IN R (PART-2) 00:00:00
    • Introduction and Installation 00:00:00
    • Basic data structures(lists, tuples, sets, dict) 00:00:00
    • Basic data structures(lists, tuples, sets, dict) part 2 00:00:00
    • Basic data structures(lists, tuples, sets, dict) part 3 00:00:00
    • What is space, Scalars, Vectors and vector algebra 00:00:00
    • Equation of line, planes 00:00:00
    • Equation of circle, Distance measures 00:00:00
    • Central tendency, Measure of spread 00:00:00
    • Measure of spread part 2 00:00:00
    • Correlation. Co-variance 00:00:00
    • Correlation. Co-variance part 2 00:00:00
    • Probability Distribution part 2 00:00:00
    • Probability distribution part 3 00:00:00
    • What is Hypothesis testing 00:00:00
    • Different common statistical tests 00:00:00
    • Different common statistical tests part 2 00:00:00
    • Different common statistical tests part 3 00:00:00
    • Processing numerical data 00:00:00
    • Processing numerical data (Python) 00:00:00
    • Processing text data part-1 00:00:00
    • Processing text data part-2 00:00:00
    • TF-IDF 00:00:00
    • BoW, TFIDF python code 00:00:00
    • PCA part 2 00:00:00
    • PCA part 3 00:00:00
    • EDA (Student performance) part 1 00:00:00
    • K-Nearest Neighbour 00:00:00
    • EDA (Student performance) part 2 00:00:00
    • Exploratory data analysis (continues case study ) part 1 00:00:00
    • Exploratory Data Analysis (Continues case study) part 2 00:00:00
    • Exploratory Data Analysis (continuous case study) part 3 00:00:00
    • Exploratory Data Analysis (continuous case study) part 4 00:00:00
    • Logistic Regression part 2 00:00:00
    • What is modelling?, Why is modelling? 00:00:00
    • KNN part 2 00:00:00
    • KNN part 3 00:00:00
    • Implement K-fold cross validation for KNN 5 days
    • Logistic Regression part 1 00:00:00
    • Logistic Regression part 3 00:00:00
    • Quiz – 11 00:08:00
    • Support Vector Machines part 1 00:00:00
    • Support Vector Machines part 2 00:00:00
    • Naive Bayes 00:00:00
    • Decision Trees 00:00:00
    • Decision Tree part 2 00:00:00
    • Types of ensembles 00:00:00
    • Random Forest 00:00:00
    • Quiz on KNN in kannada 5 days
    • GBDT 00:00:00
    • XGBoost, AdaBoost, LightGBM 00:00:00
    • Stacking models 00:00:00
    • Basic feature engineering (Continuous case study) part 1 00:00:00
    • Basic feature engineering (Continuous case study) part 2 00:00:00
    • Basic Regression Quiz 00:05:00
    • Sample Project -Hello World 00:00:00
    • Sample Project -Hello World 00:00:00
    • How to make use of online resources 00:00:00
    • Knowing Big Data 00:00:00
    • Outcomes of Big Data 00:00:00
    • Data Science Basics 00:00:00
    • Scraping Quiz 00:03:00
    • Regression 00:00:00
    • Structured & Unstructured Basics 00:00:00
    • Advanced Regression Quiz 00:05:00
    • Hadoop made simple 00:00:00
    • Introduction to Mining 00:00:00
    • Setting up Data Mining 00:00:00
    • Getting into Data Mining 00:00:00
    • Quiz – 12 00:10:00
    • Octaparsing Live 00:00:00
    • Data Mining Quiz -1 In Kannada 00:03:00
    • AVODHA Official Kannada YouTube Channel 00:00:00
    • 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 Reduce Job Execution DEMO 00:00:00
    • Step by step Guide Ubuntu (Linux) virtual machine installation on windows and configure Hadoop 00:00:00
    • Hadoop- MapReduce Practical Assignments 00:00:00
    • SQL-Structured Query Language 00:00:00
    • Map Reduce – 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
    • Hadoop – Test your knowledge 00:04:00
    • Apache HIVE-Practical Assignment -Part 1 00:00:00
    • Apache HIVE-Practical Assignment -Part 1-Continued 00:00:00
    • HIVE Quiz – Test your Knowledge 00:03:00
    • Apache Spark -Session 2 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 Eco System- Other Tools 00:00:00
    • Hadoop Introduction Quiz 00:01:00
    • Apache Spark ��� Session 1 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
    • Hadoop Ecosystem Final Exit Mid Term Quiz 00:03:00
    • 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
    • SQL Quiz – Test your Knowledge 00:03:00
    • 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 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
    • How to Prepare for a Job Interview 00:00:00
    • Microsoft Azure : Data Engineer Associate Certification Path- Part 2 00:00:00
    • Microsoft Azure Data Engineer Mock Test 00:30:00
    • Azure Data Engineer Quiz – Test your Knowledge In Kannada 00:10:00
    • How To Be A Big Data Engineer 00:00:00
    • What are the job opportunities in BigData? 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
    • Big Data Basic Quiz In Kannada 00:05:00
    • PEDMAS Rule, Variables, Expression 00:00:00
    • Reserved Words, Data Types, Basic in-built Functions 00:00:00
    • Flow Control ,Booleans values,Comparison & Assignment Operators 00:00:00
    • Boolean Operators, Mixing Boolean and Comparison Operators 00:00:00
    • Flow Control Statements ���If ,else if 00:00:00
    • While Loop Statement 00:00:00
    • Break and Continue Statement 00:00:00
    • QUIZ – 13 00:10:00
    • Range function using for loop 00:00:00
    • How to import Modulus 00:00:00
    • Defining Function calls 00:00:00
    • Function with return Statement 00:00:00
    • Print Statement with Arguments and None Value 00:00:00
    • Variable – Local and Global Scope 00:00:00
    • Handling Exceptions 00:00:00
    • List Data Type -Part A 00:00:00
    • List Data Type -Part B 00:00:00
    • List Data Type -Part C 00:00:00
    • List Data Type -Part D 00:00:00
    • List Traversal 00:00:00
    • Methods of List Data Type-A 00:00:00
    • Methods of List Data Type-B 00:00:00
    • Methods of List Data Type-C 00:00:00
    • Copying and Comprehension in List 00:00:00
    • Data Type and Operations in Tuple 00:00:00
    • Methods and Functions in Tuple 00:00:00
    • Data Type and Operations in String 00:00:00
    • Methods in String -Part A 00:00:00
    • Methods in String -Part B 00:00:00
    • Methods in String -Part C 00:00:00
    • Data Type -Dictionary 00:00:00
    • Methods Part A -Dictionary 00:00:00
    • Methods Part B -Dictionary 00:00:00
    • Counters and Looping -Dictionary 00:00:00
    • Apache HBase – Hadoop ecosystem tool 00:00:00
    • QUIZ – 14 00:10:00
    • Data Type -Array 00:00:00
    • Numpy Array -Part A 00:00:00
    • File – Open and Read Functions 00:00:00
    • Numpy Array -Part B 00:00:00
    • File – Write Functions 00:00:00
    • Programs on File Operations 00:00:00
    • Final Test Data Science and Artificial Intelligence in Kannada 5 days
    • Congrats ! Submit the course completion form. 00:00:00
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