Learn the skills for using Python, Spark Streaming, Machine Learning, and Spark 2.0 DataFrames with Spark and Python for Big Data with PySpark.
Spark and Python for Big Data with PySpark online certification are designed to develop one of the most demanding and valuable skills in the field of technology i.e., big data analytics technology which is widely used among technology firms including Google, Meta, Netflix, Amazon, and Airbnb i.e., Apache Spark. Spark is up to 100 times quicker and efficient than Hadoop MapReduce, resulting in strong growth in the need for skilled professionals. Due to the newness of the Spark 2.0 DataFrame framework, individuals with skills are considered among the most valuable professionals in the industry.
Spark and Python for Big Data with PySpark online course is a short-term programme developed by Jose Portilla, Head of Data Science, Pierian Data Inc., and offered by Udemy Inc., a US-based online learning platform that provides courses for both amateurs and professionals.
Spark and Python for Big Data with PySpark syllabus include topics such as fundamentals of Spark DataFrames, optimization of Spark 2.0 syntax. The course also provides content for MLlib Machine Library with DataFrame syntax and Spark, Spark SQL, Spark streaming and Gradient Boosted Trees which learners will learn through 10+ hours of video content, articles and downloadable materials.
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Udemy
After completing the Spark and Python for Big Data with PySpark certification course, learners will gain knowledge of using Python and Spark programs to analyse big data, syntax in Spark 2.0 DataFrame, classification using Spark with Random Forests, use Logistic Regression to categorise customer churn. Individuals will also learn to develop machine learning models using Spark’s MLlib, use AWS Elastic MapReduce service, analyse big data by setting up Amazon web services, developing spam filters using NaturalLanguage Processing and Spark.
Bonus Lecture
Mr Jose Portilla Head of Data Science Udemy
Other Bachelors, M.S
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