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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 | ||