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Course Curriculum

Understanding Big Data
Knowing Big Data 00:00:00
Job Acceleration Program (JAP)
Knowing JAP 00:00:00
Elaborating JAP 00:00:00
Outcomes of Big Data 00:00:00
Data Science Basics 00:00:00
Big Data Basic Quiz 00:00:30
Chalo INDIA Startup Drive
All About Chalo INDIA Startup Drive 00:00:00
AVODHA Official Malayalam YouTube Channel 00:00:00
Regression 00:00:00
Structured & Unstructured Basics 00:00:00
Hadoop made simple 00:00:00
Data Mining
Introduction to Mining 00:00:00
Octoparse Installation & Live Scraping 00:00:00
Data Mining Quiz -1 In Malayalam 00:03:00
Scraping Quiz 00:00:30
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 Reduce Job Execution DEMO 00:00:00
Step by Step Guide : Hadoop 3.3.0 installation and MapReduce Job Execution on Windows 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
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
SQL Quiz – Test your Knowledge Unlimited
Hadoop – Test your knowledge 00:10:00
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 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 Eco System- Other Tools 00:00:00
Hadoop Ecosystem Final Exit Mid Term Quiz 00:10:00
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
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 2 00:00:00
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 00:00:00
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
Python Basics
Access to Resources : https://drive.google.com/drive/folders/1fn84P4CVKP97-31RCkDXIT6ixlfBVdYn?usp=sharing
Introduction to AI vs ML vs DS 00:00:00
Jupyter Notebook and Basic Syntax of Python 00:00:00
QUIZ – BASIC SYNTAX 00:15:00
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
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
Files and Exception Handling
Files and Exception Handling 00:00:00
Python Full Project
Chess with GUI part-1 00:00:00
Chess with GUI part-2 00:00:00
Chess with GUI part-3 00:00:00
Chess with GUI part-4 00:00:00
Data Analysis
File reading in Pandas 00:00:00
File writing in Pandas 00:00:00
Getting into data manipulation Part-1 00:00:00
Getting into data manipulation Part-2 00:00:00
Getting into data manipulation Part–3 00:00:00
Getting into data manipulation Part-4 00:00:00
Advanced data manipulation Part-1 00:00:00
Advanced data manipulation Part-2 00:00:00
Numpy
Numpy array manipulation Part-1 00:00:00
Numpy array manipulation Part-2 00:00:00
Numpy array manipulation Part-3 00:00:00
Numpy array manipulation Part-4 00:00:00
Data Visualization
Data Visualization with matplotlib Part-1 00:00:00
Data Visualization with matplotlib Part-2 00:00:00
Plotly and Cufflinks part-1 00:00:00
Plotly and Cufflinks part-2 00:00:00
Visualization with Seaborn Part-1 00:00:00
Visualization with Seaborn Part-2 00:00:00
DATABASE
MySQL 00:00:00
SQLite 00:00:00
MongoDB 00:00:00
API and Framework
API AND EXECUTION FLOW 00:00:00
UNDERSTANDING API BY CREATING CALCULATOR 00:00:00
EDA AND DATA PREPROCESSING
SPORTS
Virat Kohli ODI Career Analysis 00:00:00
Virat Kohli Test Career Analysis 00:00:00
CRISTIANO RONALDO GOALS DATA 00:00:00
FIFA DATA EXPLORATION 00:00:00
When Would Virat Ovetake Sachin in ODI 00:00:00
MESSI VS RONALDO LEAGUE PERFORMANCE 00:00:00
MOVIES AND SERIES
MoneyHeist Data Exploration 00:00:00
Breaking Bad EDA and a Glimpse of NLP 00:00:00
Disney Movies 00:00:00
IMDB 1000 MOVIES 00:00:00
Netflix Shows 00:00:00
Banking and Finance
Finance Courses in Udemy 00:00:00
IBM PAYMENT HISTORY 00:00:00
State aggregate expenditure and personal finance data 00:00:00
Loan Approval Data 00:00:00
Statistics With Python
Introduction to Statistics 00:00:00
Population and Sampling Techniques 00:00:00
Variables and Measurements 00:00:00
Measures of Central Tendency and Dispersion 00:00:00
5 Number Summary 00:00:00
Gaussian(Normal) Distribution and Z score 00:00:00
Log-Normal,Bernauli,Binomial and More Distributions 00:00:00
Standardization and Normalization 00:00:00
Probability 00:00:00
Permutations and Combinations 00:00:00
Hypothesis Testing 00:00:00
Z-test,t-test and Chi-Square test 00:00:00
Covariance ,Pearson’s Correlation and Spearman’s Correlation 00:00:00
MACHINE LEARNING
Section 1
Introduction to Machine Learning 00:00:00
END TO END ML PROJECT
PROJECT_INTRO 00:00:00
Sampling and Data Exploration 00:00:00
Data Preperation and Pipeline Setting 00:00:00
Model Building ,Evaluation and Presentation 00:00:00
Machine Learning Algorithms
Linear Regression 00:00:00
R square and Adjusted R Square 00:00:00
Linear Regression and R2_Score Practical 00:00:00
Ridge and Lasso Regression 00:00:00
Ridge and Lasso Regresson Practicals 00:00:00
Logistic Regression 00:00:00
Confusion Matrix,Precision,Recall and F-Score 00:00:00
Logistic Regression,Confusion Matrix practicals 00:00:00
Naive Bayes Indepth Intuition 00:00:00
ROC AND AUC 00:00:00
Naive Bayes ,ROC and AUC Practicals 00:00:00
KNN,Euclidean and Manhattan Distance 00:00:00
K Means Clustering with Practical 00:00:00
Hierarchical and DBSCAN Clustering 00:00:00
DATA GATHERING PROJECTS
1.Web Scraping 00:00:00
2.Data Gathering From API 00:00:00
MACHINE LEARNING FULL PROJECTS
1. Salary Prediction(Using Flask and Django) 00:00:00
Using Flask Framework 00:00:00
Using Django Framework 00:00:00
2. Admission Prediction 00:00:00
3.Drug Classification 00:00:00
4.Diabetes Prediction 00:00:00
5. Income Prediction 00:00:00
6.ForestCoverClassification 00:00:00
7.InsuranceFraudClaimDetection 00:00:00
8.Iris Flower Classification with Deployment on Heroku 00:00:00
StreamLit Projects
Introduction to StreamLit Part-1 00:00:00
Introduction to StreamLit Part-2 00:00:00
Introduction to StreamLit Part-3 00:00:00
Software Developer Salary Prediction 00:00:00
Iris_FLower_Classification Project and Deployment 00:00:00
Live Data Dashboard with Deployment 00:00:00
Business Intelligence and Power BI
Introduction to Business intelligence 00:00:00
Basic Charts and UI 00:00:00
Geographical Maps 00:00:00
Table and Matrix 00:00:00
BONUS SECTION
Final Test Unlimited
Congrats ! Submit the course completion form. 00:00:00
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