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Course Curriculum

Understanding Big Data
Knowing Big Data 00:12:00
Job Acceleration Program (JAP)
Knowing JAP 00:04:27
Elaborating JAP 00:10:46
Outcomes of Big Data 00:20:00
Data Science Basics 00:24:00
Big Data Basic Quiz 00:00:30
Chalo INDIA Startup Drive
All About Chalo INDIA Startup Drive 00:03:50
AVODHA Official Malayalam YouTube Channel 00:00:45
Regression 00:16:00
Structured & Unstructured Basics 00:10:00
Hadoop made simple 00:00:13
Data Mining
Introduction to Mining 00:20:00
Octoparse Installation & Live Scraping 00:15:16
Data Mining Quiz -1 In Malayalam 00:03:00
Scraping Quiz 00:00:30
HADOOP
Introduction to HADOOP 00:28:00
What is the difference between a Local file system (LFS) and HDFS? 00:52:28
HADOOP Distributed File System 00:48:00
HADOOP Yarn 00:54:00
Hadoop Introduction Quiz 00:01:00
Hadoop MapReduce 00:53:00
Hadoop Installation and Map Reduce Job Execution DEMO 00:41:00
Step by Step Guide : Hadoop 3.3.0 installation and MapReduce Job Execution on Windows 01:14:00
Step by step Guide Ubuntu (Linux) virtual machine installation on windows and configure Hadoop 00:43:00
Hadoop – Test your knowledge 00:04:00
Hadoop- MapReduce Practical Assignments 00:13:00
Map Reduce – Test your Knowledge 00:03:00
SQL-Structured Query Language 01:06:59
SQL Quiz – Test your Knowledge 00:03:00
Apache HIVE – Hadoop Ecosystem Tool 01:19:00
Step by Step Guide : Apache HIVE installation using Cygwin on Windows & External Table Creation 01:15:00
Apache HIVE-Practical Assignment -Part 1 00:22:00
Apache HIVE-Practical Assignment -Part 1-Continued 00:15:00
HIVE Quiz – Test your Knowledge 00:03:00
Apache HBase -Hadoop Ecosystem Tool 01:06:00
Step by Step Guide : Apache Hbase installation on Windows & Table Creation 00:26:00
Apache HBase Practical Assignment 00:39:00
Hadoop Eco System- Other Tools 00:57:00
Hadoop Ecosystem Final Exit Mid Term Quiz 00:03:00
Spark
Apache Spark – Session 1 00:47:00
Apache Spark -Session 2 01:12:00
Apache Spark Programming Guide 00:54:00
Apache Kafka Stream processing and DEMO 00:40:00
Apache Spark Streaming 00:22:00
Python for Apache Spark – pySpark 01:03:00
Getting into Azure
Big Data and Cloud Computing 00:44:00
Microsoft Azure Fundamentals and Overview 00:53:00
How to Create a New Microsoft Azure Account 00:37:00
Azure Subscription Policies ,Resource Groups and Storage Account 00:51:00
Starting with Azure
Microsoft Azure- Working with Data Storage 00:51:00
Microsoft Azure – DataBricks 01:01:00
Microsoft Azure- Working with Databricks 00:53:00
Microsoft Azure- Cosmos DB 00:45:00
Microsoft Azure SQL 00:54:00
Microsoft Azure Synapse Analytics and PolyBase 01:07:00
Microsoft Azure Stream Analytics and event hubs 00:56:00
Microsoft Azure Data Factory Service – ADF 01:14:00
Microsoft Azure Creating a Virtual Machine 00:27:00
Microsoft Azure : Securing Data Platforms 01:04:00
Microsoft Azure – Monitoring and Troubleshooting Data Storage and Processing 00:56:00
Microsoft Azure : Data Engineer Associate Certification Path- Part 1 00:55:00
Microsoft Azure : Data Engineer Associate Certification Path- Part 2 00:54:12
Azure Data Engineer Quiz – Test your Knowledge In Malayalam 00:10:00
Microsoft Azure Data Engineer Mock Test 00:30:00
More resources for you 00:00:00
How To Be A Big Data Engineer 00:00:47
What are the job opportunities in BigData? 00:39:00
How to Prepare for a Job Interview 00:48:00
What is the attitude to work in the Industry 00:34:00
How to Manage Life and Work 00:39:00
How to excel in the field 00:38:00
Basic Regression Quiz In Malayalam 00:05:00
Finishing HADOOP 00:00:00
Big Data Basic Quiz in Malayalam 00:00:30
Basic Regression Quiz In Malayalam 00:05:00
Advanced Regression Quiz 00:05:00
Advanced Regression Quiz In Malayalam 00:05:00
Data Mining Quiz -1 In Malayalam 00:03:00
Scraping Quiz 00:00:30
Hadoop Introduction Quiz In Malayalam 00:01:00
SQL Quiz – Test your Knowledge 00:03:00
HIVE Quiz – Test your Knowledge In Malayalam 00:03:00
Hadoop Ecosystem Final Exit Mid Term Quiz In Malayalam 00:03:00
Azure Data Engineer Quiz – Test your Knowledge In Malayalam 00:10:00
Python Basics
Submit all your assignments through github link
Introduction to AI vs ML vs DS 00:35:48
Jupyter Notebook and Basic Syntax of Python 00:53:54
QUIZ – BASIC SYNTAX 00:15:00
Conditionals and Loops 00:42:48
Lists and Tuples 00:56:48
Strings in Python 00:25:08
Dictionary in Python 00:47:38
MINI PROJECT: ROCK-PAPER-SCISSORS GAME 00:21:27
Functions in Python Part-1 00:46:30
Functions in Python Part-2 00:46:54
MINI PROJECT:SUDOKU SOLVER 00:20:35
Object Oriented Programming
OOPs Intro,Class and Objects 00:29:48
Access Modifiers and Inheritance 00:46:02
Method overriding,Encapsulation,Polymorphism and imports 00:43:27
Files and Exception Handling
Files and Exception Handling 00:58:02
Python Full Project
Chess with GUI part-1 01:02:29
Chess with GUI part-2 00:52:25
Chess with GUI part-3 00:59:47
Chess with GUI part-4 00:50:41
Data Analysis
File reading in Pandas 00:42:32
File writing in Pandas 00:50:20
Getting into data manipulation Part-1 00:47:33
Getting into data manipulation Part-2 00:56:19
Getting into data manipulation Part–3 00:43:15
Getting into data manipulation Part-4 00:32:54
Advanced data manipulation Part-1 00:48:58
Advanced data manipulation Part-2 00:47:40
Numpy
Numpy array manipulation Part-1 00:46:15
Numpy array manipulation Part-2 00:44:24
Numpy array manipulation Part-3 00:54:40
Numpy array manipulation Part-4 00:53:54
Data Visualization
Data Visualization with pandas Part-1 00:47:39
Data Visualization with pandas Part-2 01:03:44
Plotly and Cufflinks part-1 00:44:31
Plotly and Cufflinks part-2 00:40:42
Visualization with Seaborn Part-1 00:00:00
Visualization with Seaborn Part-2 00:19:18
DATABASE
MySQL 01:07:17
SQLite 00:50:30
MongoDB 01:05:13
API and Framework
API AND EXECUTION FLOW 00:42:48
UNDERSTANDING API BY CREATING CALCULATOR 00:51:25
EDA AND DATA PREPROCESSING
SPORTS
Virat Kohli ODI Career Analysis 01:17:11
Virat Kohli Test Career Analysis 00:58:04
CRISTIANO RONALDO GOALS DATA 01:17:03
FIFA DATA EXPLORATION 01:33:54
When Would Virat Ovetake Sachin in ODI 01:02:22
MESSI VS RONALDO LEAGUE PERFORMANCE 01:13:20
MOVIES AND SERIES
MoneyHeist Data Exploration 01:36:25
Breaking Bad EDA and a Glimpse of NLP 01:36:36
Disney Movies 01:05:22
IMDB 1000 MOVIES 01:52:23
Netflix Shows 00:59:11
Banking and Finance
Finance Courses in Udemy 01:36:29
IBM PAYMENT HISTORY 01:09:01
State aggregate expenditure and personal finance data 01:19:34
Loan Approval Data 01:10:28
Statistics With Python
Introduction to Statistics 01:09:56
Population and Sampling Techniques 00:59:31
Variables and Measurements 00:50:52
Measures of Central Tendency and Dispersion 00:55:49
5 Number Summary 00:30:24
Gaussian(Normal) Distribution and Z score 00:31:11
Log-Normal,Bernauli,Binomial and More Distributions 00:43:48
Standardization and Normalization 00:44:28
Probability 01:07:50
Permutations and Combinations 00:50:40
Hypothesis Testing 01:37:38
Z-test,t-test and Chi-Square test 01:13:12
Covariance ,Pearson’s Correlation and Spearman’s Correlation 00:49:18
MACHINE LEARNING
Section 1
Introduction to Machine Learning 01:50:12
END TO END ML PROJECT
PROJECT_INTRO 00:55:05
Sampling and Data Exploration 00:59:54
Data Preperation and Pipeline Setting 01:21:08
Model Building ,Evaluation and Presentation 01:26:47
Machine Learning Algorithms
Linear Regression 01:43:49
R square and Adjusted R Square 00:26:38
Linear Regression and R2_Score Practical 00:38:33
Ridge and Lasso Regression 00:57:03
Ridge and Lasso Regresson Practicals 00:51:08
Logistic Regression 01:03:32
Confusion Matrix,Precision,Recall and F-Score 00:45:38
Logistic Regression,Confusion Matrix practicals 00:29:38
Naive Bayes Indepth Intuition 01:12:41
ROC AND AUC 00:38:50
Naive Bayes ,ROC and AUC Practicals 00:56:32
BONUS SECTION
FINAL TEST Unlimited
Congrats ! Submit the course completion form. 00:00:00
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