Big Data and NLP with Python: 2-in-1

Natural language processing and Big Data are the most interesting subfields of data science. You will learn to use the most popular programming language, Python with the latest Big Data technology, Apache Spark. If you’re a data science professional who is familiar with Python and wants to take first steps in the world of data science by acquiring NLP and Big Data skills, then this learning path is for you.

This comprehensive 2–in–1 course teaches you how to efficiently ingest, query, and analyze data using MongoDB and Spark. You will also learn practical NLP techniques and methods to analyze your text data. It’s a perfect blend of concepts and practical examples which makes it easy to understand and implement. It follows a logical flow where you will be able to build on your understanding of the different Big Data and NLP techniques with every section.

This training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.

The first course, Working with Big Data in Python, starts off with explaining the use of MongoDB, how it differs from SQL and structured data, and setting up your first database and query. You will then learn how to make use of MongoDB and Python such as including the pyMongo library, retrieving results from MongoDB cursors, and building up complex aggregation pipelines using operators. You will also work on an example which builds a data pipeline using PyMongo. Next, you will be introduced to Spark as the main software framework for working with large datasets across distributed computing resources. Finally, you will explore another live example of a data science workflow using MongoDB and Spark which includes the analysis of Reddit comments and machine learning task to predict comment popularity.