What are you learning
- Use Python and Spark together to analyze big data.
- Learn how to use the new Spark 2.0 DataFrame syntax.
- Work on mentoring projects that mimic real world situations!
- Rate client deliveries using logistics regression.
- Use brightness with random pin for rating.
- Learn how to use Spark's Gradient Boosted Trees.
- Use Spark's MLlib to create powerful machine learning models.
- Meet the DataBrix platform!
- Launch of Amazon Web Services in EC2 for Big Data Analytics
- Learn how to use the AWS Elastic MapReduce service!
- Learn how to use the power of Linux with a spark environment!
- Create spam filters with Spark and Natural Language Processing!
- Use Spark Streaming to analyze tweets in real time!
requirements
General programming skills in any language (ask priority)
20 GB of free space on your local computer (or a strong internet connection for AWS)
Describe
Learn about the latest Big Data technology - Spark! And learn how to use it with Python, one of the most popular programming languages!
The ability to analyze large data sets is one of the most valuable technical skills, and this course has been specifically designed to bring you the fastest performing technology for the task, Apache Spark! Top tech companies like Google, Facebook, Netflix, Airbnb, Amazon, NASA and more are using Spark to solve their big data problems!
SparkHoop can perform 100 times faster than MapReduce, which is why there is an explosion in demand for skills! Because the Spark 2.0 DataFrame Framework is so new, you now have the opportunity to become one of the most knowledgeable people on the job market!
This course teaches you the basics of Python through a crash course. Keep learning how to use Spark DataFrames with the latest Spark 2.0 syntax! Once you do that, we'll see how to use the MLlib machine library with dataframe and spark syntax. Along the way, you will have language learning exercises and projects that will take you to the real world, where you will have to use your newfound skills to solve real world problems!
We also use advanced Spark technologies like Spark MySQL and Spark Streaming, and advanced models like Gradient Boosted Trees! After completing this course, you will feel comfortable with Spark and P Spark on your CV! This course also has a 30-day full money-back guarantee and comes with LinkedIn certification completion!
If you're ready to jump into the world of Python, Spark, and big data, then this is the course for you!
This course is open to all:
Someone who knows Python and wants to learn how to use it for data.
Someone who is familiar with another programming language and needs to learn Spark.
Here is the download links
https://www.udemy.com/course/spark-and-python-for-big-data-with-pyspark/
you can join over whats app group -> FREE COURSES 2022