Kaggle Masterclass - build a Data Science Portfolio

Link : Kaggle Masterclass - build a Data Science Portfolio 

Udemy course Data Science Portfolio
Become a Kaggle Grandmaster, build a compelling Data Science portfolio, and take your career to the next level.

What you'll learn

• Machine Learning
• Deep Learning
• Data Analytics
• Exploratory Data Analysis
• Kaggle
• Data Science

 Description
This, one of a kind, Career-ready Masterclass is designed to help you gain hands-on and in-depth exposure to the domain of Data Science by adopting the learn by doing approach. And the best way to land your dream job is to build a portfolio of projects. And the best platform for a Data Scientist is Kaggle!

Link :  Machine Intelligence Masterclass - an Algorithmic Overview

Udemy course Algorithmic Overview
Learn the cutting-edge Algorithms in the field of Machine Learning, Deep Learning, Artificial Intelligence, and more!  [free]

 

 

 

 

 

 

Link :   Introduction to Big Data - an overview of the 10 V's

Udemy course the 10 V's

 An overview of the Dimensions and Forms of Big Data. a [free]

 

 

 

 

 

 

 

Link :   Apache Beam | A Hands-On course to build Big data Pipelines

Udemy course Apache Beam

 Build Big data pipelines with Apache Beam in any language and run it via Spark, Flink, GCP (Google Cloud Dataflow). 

 

 

 

 

 

 

Link :   Apache Flink | A Real Time & Hands-On course on Flink

Udemy course Apache Flink

 A to Z, In-depth & HANDS-ON Practical course on a technology better than Spark for Stream processing i.e. Apache Flink
Bestseller

What you'll learn

• Learn a cutting edge and Apache's latest Stream processing framework i.e. Flink.
• Learn a technology which is much faster than Hadoop and Spark.
• Understand the working of each and every component of Apache Flink with HANDS-ON Practicals.
• Even learn those concepts which are not properly explained in Flink's official documentation.
• Solve Real-Time Business case studies using Apache Flink.
• Data-sets and Flink codes used in lectures are available in resources tab. This will save your typing efforts.