Course Currilcum
- DataScience Introduction 00:23:07
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- Outcomes of Big Data 00:19:40
- Data Science Basics 00:23:47
- Big Data Basic Quiz 00:00:30
- Structured & Unstructured Basics 00:09:09
- Hadoop made simple 00:12:01
- Introduction to Mining 00:19:16
- Octoparse Installation & Live Scraping 00:15:16
- Data Mining Quiz -1 In Malayalam 00:03:00
- Introduction to HADOOP 00:27:48
- Introduction of Data Science 00:30:00
- What is the difference between a Local file system (LFS) and HDFS? 00:52:28
- HADOOP Distributed File System 00:33:29
- HADOOP Yarn 00:54:45
- Hadoop MapReduce 00:33:34
- Hadoop Installation and Map Reduce Job Execution DEMO 00:40:46
- Step by Step Guide : Hadoop 3.3.0 installation and MapReduce Job Execution on Windows 00:01:13
- Step by step Guide Ubuntu (Linux) virtual machine installation on windows and configure Hadoop 00:42:36
- Hadoop- MapReduce Practical Assignments 00:12:52
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- SQL-Structured Query Language 00:01:06
- Apache HIVE – Hadoop Ecosystem Tool 00:01:18
- Step by Step Guide : Apache HIVE installation using Cygwin on Windows & External Table Creation 00:01:14
- SQL Quiz – Test your Knowledge Unlimited
- Hadoop – Test your knowledge 00:10:00
- Apache HIVE-Practical Assignment 00:21:04
- Apache HIVE-Practical Assignment -Part 1-Continued 00:14:50
- HIVE Quiz – Test your Knowledge 00:03:00
- Apache HBase -Hadoop Ecosystem Tool 00:01:05
- Step by Step Guide : Apache Hbase installation on Windows & Table Creation 00:25:12
- Apache HBase Practical Assignment 00:38:22
- Hadoop Eco System- Other Tools 00:56:37
- Hadoop Ecosystem Final Exit Mid Term Quiz 00:10:00
- Apache Spark – Session 1 00:46:48
- Apache Spark -Session 2 00:01:11
- Apache Spark Programming Guide 00:53:31
- Apache Kafka Stream processing and DEMO 00:39:44
- Apache Spark Streaming 00:21:18
- Python for Apache Spark – pySpark 00:01:02
- Big Data and Cloud Computing 00:43:03
- Microsoft Azure Fundamentals and Overview 00:52:59
- How to Create a New Microsoft Azure Account 00:36:46
- Azure Subscription Policies ,Resource Groups and Storage Account 00:50:05
- Microsoft Azure- Working with Data Storage 00:50:40
- Microsoft Azure – DataBricks 00:01:00
- Microsoft Azure- Working with Databricks 00:52:18
- Microsoft Azure SQL 00:53:13
- Microsoft Azure Synapse Analytics and PolyBase 00:01:06
- Microsoft Azure Stream Analytics and event hubs 00:55:15
- Microsoft Azure Data Factory Service – ADF 00:01:13
- Microsoft Azure Creating a Virtual Machine 00:26:32
- Microsoft Azure : Securing Data Platforms 00:01:03
- Microsoft Azure-Monitoring and Troubleshooting Data Storage and Processing 00:55:15
- Microsoft Azure : Data Engineer Associate Certification Path – Part 1 00:54:24
- 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
- How To Be A Big Data Engineer 00:46:09
- What are the job opportunities in BigData? 00:38:48
- How to Prepare for a Job Interview 00:47:12
- What is the attitude to work in the Industry 00:33:48
- How to Manage Life and Work 00:38:32
- How to excel in the field 00:37:54
- 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 – Part 1 00:46:30
- Functions in Python Part – Part 2 00:46:54
- MINI PROJECT:SUDOKU SOLVER 00:20:35
- 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 00:58:02
- Chess with GUI part – Part 1 00:01:46
- Chess with GUI part – Part 2 00:52:25
- Chess with GUI part-3 00:59:47
- Chess with GUI part-4 00:50:41
- File reading in Pandas 00:42:32
- File writing in Pandas 00:02:41
- Getting into data manipulation Part -1 00:47:39
- Getting into data manipulation Part-2 00:56:19
- Getting into data manipulation Part–3 00:56:25
- Getting into data manipulation Part-4 00:43:15
- Advanced data manipulation Part 00:32:54
- Advance Data Manipulation Part-2 00:48:58
- Numpy array manipulation Part – Part 1 00:04:50
- Numpy array manipulation Part – Part 2 00:46:15
- Numpy array manipulation Part-3 00:44:24
- Numpy array manipulation Part-4 00:35:40
- Data Visualization with matplotlib Part – Part 1 00:53:54
- Data Visualization with matplotlib Part – Part 2 00:36:21
- Plotly and Cufflinks part-1 00:44:31
- Plotly and Cufflinks Part-2 00:40:42
- Visualization with Seaborn Part – Part 1 00:01:19
- Visualization with Seaborn Part – Part 2 00:19:18
- MySQL 00:01:07
- SQLite 00:48:06
- Mongo DB 00:01:05
- API AND EXECUTION FLOW 00:42:48
- UNDERSTANDING API BY CREATING CALCULATOR 00:51:31
- Virat Kohli ODI Career Analysis 00:01:17
- Virat Kohli Test Career Analysis 00:58:10
- CRISTIANO RONALDO GOALS DATA 00:01:17
- FIFA DATA EXPLORATION 00:01:34
- When Would Virat Ovetake Sachin in ODI 00:01:02
- MESSI VS RONALDO LEAGUE PERFORMANCE 00:01:13
- MoneyHeist Data Exploration 00:01:36
- Breaking Bad EDA and a Glimpse of NLP 00:01:36
- Disney Movies 00:01:05
- IMDB 1000 MOVIES 00:01:52
- Netflix Shows 00:59:17
- Finance Courses in Udemy 00:01:36
- IBM PAYMENT HISTORY 00:01:09
- State aggregate expenditure and personal finance data 00:01:19
- Loan Approval Data 00:01:11
- Introduction to Statistics 00:01:09
- 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 00:43:08
- Standardization and Normalization 00:44:28
- Probability 00:01:07
- Permutations and Combinations 00:50:40
- Hypothesis Testing 00:01:37
- Z-test,t-test and Chi-Square test 00:01:13
- Covariance ,Pearson’s Correlation and Spearman’s Correlation 00:49:18
- Introduction to Machine Learning 00:01:50
- PROJECT_INTRO 00:55:05
- Sampling and Data Exploration 00:59:54
- Data Preperation and Pipeline Setting 00:01:21
- Model Building ,Evaluation and Presentation 00:01:26
- Linear Regression 00:01:43
- 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 00:01:03
- Confusion Matrix,Precision,Recall and F-Score 00:45:38
- Logistic Regression,Confusion Matrix practicals 00:29:38
- Naive Bayes Indepth Intuition 00:01:12
- ROC AND AUC 00:38:50
- Naive Bayes ,ROC and AUC Practicals 00:56:32
- KNN,Euclidean and Manhattan Distance 00:44:51
- K Means Clustering with Practical 00:01:05
- Hierarchical and DBSCAN Clustering 00:01:35
- 1.Web Scraping 00:01:29
- 2.Data Gathering From API 00:54:10
- 1. Salary Prediction(Using Flask and Django) 00:01:45
- Using Flask Framework 00:33:04
- Using Django Framework 00:01:20
- 2. Admission Prediction 00:01:00
- 3.Drug Classification 00:45:40
- 4.Diabetes Prediction 00:39:03
- 5. Income Prediction 00:02:05
- 6.ForestCoverClassification 00:01:32
- 7.InsuranceFraudClaimDetection 00:01:51
- 8.Iris Flower Classification with Deployment on Heroku 00:38:56
- Introduction to StreamLit Part – Part 1 00:01:11
- Introduction to StreamLit Part – Part 2 00:01:05
- Introduction to StreamLit Part-3 00:53:32
- Iris_FLower_Classification Project and Deployment 00:46:35
- Live Data Dashboard with Deployment 00:01:03
- Introduction to Business intelligence 00:30:17
- Basic Charts and UI 00:41:31
- Geographical Maps 00:43:17
- Table and Matrix 00:39:11
- Numpy Introduction 00:35:28
- Final Test Unlimited
- One Dimensional Array Creation 00:31:02
- Two dimensional Array Creation 00:24:49
- Three Dimensional Array Creation 00:01:16
- Numpy functions 00:18:29
- Knowing JAP Unlimited
- Elaborating JAP 00:07:04
- AVODHA Official Malayalam YouTube Channel Unlimited
- All About Chalo INDIA Startup Drive 00:15:43