Mastering Big Data Analytics: PySpark, Scala, AWS, Web Scraping
Learn, build, and execute big data strategies with Scala and Spark, PySpark and AWS, data scraping and data mining with Python, and master MongoDB .
What you’ll learn
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Introduction and importance of this course in this day and age
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Approach all essential concepts from the beginning
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Clear unfolding of concepts with examples in Python,Scrapy, Scala, PySpark and MongoDB
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All theoretical explanations followed by practical implementations
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Data Scraping & Data Mining for Beginners to Pro with Python
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Master Big Data with Scala and Spark
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Master Big Data With PySpark and AWS
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Mastering MongoDB for Beginners
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Building your own AI applications
Course content
Module 1: Data Scraping & Data Mining with Python
- Introduction to Data Scraping
- Requests Library and Extracting Authors
- Beautiful Soup 4 (BS4) Introduction
- Extracting Quotes from a Website
- CSS Selectors for Data Extraction
- Scrapy Framework Introduction
- Running and Writing Spiders in Scrapy
- Exporting Extracted Data
- Handling Pagination and Next Page URLs
- Working with Forms and Logins in Scrapy
Module2: Scala & Spark- Master Big Data with Scala and Scarp
- Introduction to Scala and Spark
- Variables, Arithmetic Operations, and Data Types in Scala
- Control Statements and Loops
- Functions and Classes in Scala
- Introduction to Spark RDDs
- Transformations and Actions on RDDs
- Introduction to Spark DataFrames
- Operations on Spark DataFrames
- Spark DF Aggregations and Group By
- Introduction to Spark SQL
Module3: PySpark &AWS: Mater Big Data With Pyspark and AWS
- Introduction to Big Data and PySpark
- Setting up PySpark and AWS Environment
- Overview of Hadoop and Spark Ecosystems
- Running PySpark on Local and Cluster Modes
- Working with RDDs and DataFrames in PySpark
- Spark Streaming and Real-time Data Processing
- ETL Pipeline using PySpark and AWS Services
- Collaborative Filtering for Recommendations
- Change Data Capture and Replication in AWS
- Building an End-to-End Data Pipeline
- Introduction to NoSQL and MongoDB
- Installing and Setting up MongoDB
- Basic Operations: CRUD in MongoDB
- Query and Projection Operators in MongoDB
- Update Operators and Array Operations
- Indexing and Performance Optimization
- Data Modeling and Schema Design
- Working with Aggregations and Map-Reduce
- MongoDB with Node.js and Python
- Integrating Django and MongoDB
Module5: Final Project – Building a Recommender System with PySpark, AWS, and MongoDB
- Understanding Collaborative Filtering
- Explicit vs Implicit Ratings
- Expected Results and Dataset Overview
- Launching an EC2 Instance
- Installing Necessary Packages and Libraries
- Configuring Spark and PySpark on AWS
- Extracting and Transforming Data
- Loading Data into MongoDB for Storage
- Handling Data Anomalies and Missing Values
- Overview of Collaborative Filtering
- Implementing ALS Algorithm with PySpark
- Hyperparameter Tuning and Cross-Validation
- Splitting Data for Training and Testing
- Evaluating Model Performance
- Generating Recommendations for Users
- Storing User and Item Profiles in MongoDB
- Retrieving User Information for Personalized Recommendations
- Deploying the Recommender System on AWS
- Handling Scalability and Performance Optimizatio
Course Prerequisite
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Basic understanding of HTML tags. Python and SQL
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No prior knowledge of data scraping and Scala is needed. You start right from the basics and then gradually build your knowledge of the subject.
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Basic understanding of programming.
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A willingness to learn and practice.
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Since we teach by practical implementations so practice is a must thing to do
Who this course is for:
- People who are absolute beginners.
- People who want to make smart solutions.
- People who want to learn with real data.
- People who love to learn theory and then implement it practically.
- Data Scientists, Machine learning experts and Drop Shippers.
International Student Fee: 700 US$
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Flexible Class Options
- Week End Classes For Professionals SAT | SUN
- Corporate Group Trainings Available
- Online Classes – Live Virtual Class (L.V.C), Online Training
Related Courses
Specialist Diploma Big Data Analytics Course with Machine Learning
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