Spark and Python for Big Data with PySpark

I have already learned a lot half way into this machine learning course with pyspark.

Course helps to give an introduction to spark dataframes and machine learning techniques using MLLIB explanation is good, But was interested in few concepts are missing like: 1) RDD.

Clear Lectures , best suit for any one who would like to start learn machine learning and Spark Trying to learn how to use Spark I was going through PySpark on tutorials point and trying to understand from multiple sources.

Good intro to Spark DataFrames and some machine learning examples.

This is course is really awesome to get a good start with Pyspark and machine learning.

Provided a Complete overview of implementing Machine learning with Pyspark along with Practical Examples.I think its a good course for beginners to get to know Spark and its usage for Machine learning The title of the course is misleading.

It should be called something like "A short introduction to machine learning with a little bit of pyspark".

The course is good but not me, I feel to use Machine Learning effectively, one should strong knowledge of Advanced Statistics, else this course will not be that useful.

Quick recap and easy explainations Wonderful, Really explained all the concepts in simplest manner To be honest, this is one of the best courses I've ever watched on Data Science & Machine Learning.

Finally different Machine Learning algorithms are exposed so you will able to get a complete knowledge on ML&DS by boarding several projects to practice more.

Clear simple explanations so far great content I'm just diving in into all the topics covered by the course: machine learning algorithms, NLP, etc.

This course is WAY to highly overlapped with the "Python for Data Science and Machine Learning Bootcamp" course!!!

Fantastic course for beginners like me and got what i expected from this course Examples used are not big data, Very Good, step-by-step process to understand how to use PySpark Very good presentation.

But working on big data others things should also be taught like how it works in a cluster mode.

Buen curso Spark May be it is too basic for me and it is focused to a data architecht and non for data scientist like me, but I want to give it another opportunity, let's gonna see the next lesson The course is excellent and has provided very good foundation on ML using pyspark The reason we learn spark is to use for big data.

It doesn't say too much about Spark itself (especially what is going on under the hood) and nothing at all about big data.

pyspark ist gut, aber es fehlt der Big Data Bezug!

I just mention some even better ifs The course misses the 'Big Data' part of the title.

However, I am surprised that few important topics that were introduced by the instructor early in the course such as 'Master/Slave Architecture' were not dealt with with an example involving Big Data.

I feel capable of tackling big data projects after completing this course!

I was looking for courses to be able to implement machine learning in big data.

its is a very interesting course in Avery hot topic: cloud computing with big data.

I was expecting more learning on big data than just explanation from pyspark document library.

Buy the course :) Once again, Jose Portilla strikes a home run with his comprehensible instruction of Spark and Python for Big Data with PySpark.

Easy to understand if you already have some python and sql knowledge.

easy to understand.

Easy to understand material.

Overall, the course was explained well and was easy to understand and go through the projects with ease.

This class gave me much more in depth knowledge about pyspark with easy to understand lecture and examples.

Easy to understand and the following code.

Easy to understand, starts from the beginning, easy to focus on the pieces that interest you the most.

Easy to understand.

Thorough, easy to understand.

Always very organized and easy to understand.

Great instructor easy to understand.

Superb and clear explanations makes it very easy to understand.

Topics very well explained.

Nonetheless, the referred book is a really good one, the course content is clear, well organized, well documented, very well explained.

The course is structured, very well explained and documented, all the credits to the author.

very well explained and recommend it.

Was very nice course It is very well explained step-by-step so anybody can go throuth it Love it so far very clear explanations This course helped me build a basic knowledge about spark, by going through diverse use cases and algorithms.

Very well explained.

very well explained with a very sharp clarity.

What other options could be there is the real world scenario.

The projects are very practical and there is a good amount of experience with various real world data sets.

For me personally I would have wished to see more of how to use this in real world with how to build clusters, use HDFS/S3, etc to fully get to the more production realistic use cases.

You haven't covered any topic regarding how to make spark cluster(distributed environment) and register worker etc and you haven't taught how to load data from Sql/NoSql databases because in real world in most of the cases we load data from some sort of Sql/NoSql db instead of just loading them from flat files like json/csv/textfiles.

With this class I was able to rapidly apply the knowledge to a real world scenario.

However the "real world" applications are quite oversimplified.

My favourite part was the Natural Language processing, really helped me overcome an obstacle I have in a real world consulting project and the example (spam detection) was very good real-world scenario.

The way that this course has made is really useful to learn and for applying all these methods in the real world.

If you want to learn and improve yourself in the real world, that course is awesome.

:) He explains step by step without missing on things which really makes me feel I am learning the subject It would be wonderful if the course can be updated with structured streaming topics as and when the stable release is out.

The videos are really good and I was able to follow along step by step.

explanation of RDDs Very good step by step explanation on how to setup Spark and required components.

Great course, good speed of teaching, step by step examples in jupyter notebook, good quality of course materials.

What I'm missing here is how to set up a cluster and take advantage of working in cluster using Spark (which I believe is actually true strength of Spark) I had some experience with Spark before.

Goes over the basics of pyspark and MLLIB enough to give you some familiarity with some different types of ML algorithms and how they set up in Spark with python.

I had enrolled for this course maybe a year back and hadn't taken it because I got scared with the complicated AWS set up that Jose covers towards the end of the Python bootcamp course.

The environment set up was certainly muddy.

Before this course I literally spent days trying to set up pyspark.

When I tried to set up on ec2.

The course is well structured and very informative from it's first lecture Eu estou aprendendo bastante I like the instructions given on AWS EC2 set up.

I liked the 'consulting projects' which provided real-world exercises.

I really found the consulting projects interesting.

I never felt bored and the consulting projects were definitely a lot of fun as they felt applicable to the real world.

-Need more depth on what is BinaryClassicifaction vs MultiClassClassification -Really need to cover Naive Bayes -Like the Consulting Projects, very well done !

* Great consulting projects.

For a beginner Python coder like myself, the instructor made Spark and Databricks easy to transition to from the world of Python 3 and Jupyter Notebook.

This is really great you can open the code in the jupyter notebook which was shown in a course and see all explanations.

Configuring pyspark with ipython and jupyter notebook is bt challenging.

Excellent delivery by the instructor content of the course is very good till now and trainer is very good to deliver the content properly to the audiences.

nice lecture till now I was not sure of how to start, where to start.

its very clear till now clear explanation, well articulated, no verbal clutches on part of the lecturer.

Right level and contents going great Video is blurry so far so good vague concepts -> clear concepts Till now am able to follow :) Muy bien explicado Very friendly introduction This is a very good course about Python / Big Data; Le contenu est clair, intéressant, précis et concis.

Really looking forward to the rest of the training.

I am new to Spark and have experience in python ml looking forward to play with Spark Quality and explanation is good to understand Yes good as of now.

Super interesting, clearly scoped and presented, looking forward to the nest lecture!!!

Discuss how a data scientist can visualize Spark DataFrames inline within the Jupyter or Databricks Notebook.

How would a data scientist impute missing data based on data in other columns using Spark?

This course is terrific and exactly the right course for a data scientist with experience in ML on other tools and platforms who needs to shift to Spark.