Just Enough Python for Big Data and Machine Learning

As per Udemy policy for free courses, we are not allowed to post more than 2 hours of content. Therefore, we tried our level best to cover Basics of Python 3 using Anaconda Distribution which would enable you to move to Data Science, Machine Learning and Artificial Intelligence quickly and seamlessly.

Here is detailed Agenda for the course:

1. History of Python

2. Python Basics

3. Introduction to Anaconda Interface

4. Key Principle - Finding Structures over Unstructured Data

5. Theory behind Semi-structured Data

6. Testing Regular Expressions using Regex

7. Semi Structured Data Processing

8. Variables and Basic Types

9. Built-in Functions for String Manipulation

10. More Python In Built Functions

11. Comparing Various Complex Types in Python

12. Tuples Theory

13. Tuples

14. Dictionary Theory

15. Dictionary

16. Set and Frozen Set

17. Working with List

18. Program Flow Statements

19. Working with Functions

Please do check our other courses (free as well as paid) on Udemy -

1. Big Data Crash Course | Learn Hadoop, Spark, NiFi and Kafka

2. Big Data For Architects | Build Big Data Pipelines and Compare Key Big Data Technologies

3. Google Data Engineer Certification Practice Exams

4. Setup Single Node Cloudera Cluster on Google Cloud

5. Confluent Certified Operator for Apache Kafka Practice Test

6. Confluent Certified Developer Apache Kafka Practice Tests

7. An Introduction to Snowflake

   
   

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We are also an official training delivery partner of Confluent Kafka.. We conduct corporate trainings on various topics including Confluent Kafka Developer, Confluent Kafka Administration, Confluent Kafka Real Time Streaming using KSQL & KStreams and Confluent Kafka Advanced Optimization. Our instructors are well qualified and vetted by Confluent for delivering such courses.

Please feel free to reach out if you have any requirements for Confluent Kafka Training for your team. Happy to assist.