[Udemy Course] 50 Hrs Big Data Mastery: PySpark, AWS, Scala & Data Scraping by Al Sciences Team

What you’ll learn

Introduction and importance of this course in this day and age

Approach all essential concepts from the beginning

Clear unfolding of concepts with examples in Python,Scrapy, Scala, PySpark and MongoDB

All theoretical explanations followed by practical implementations

Data Scraping & Data Mining for Beginners to Pro with Python

Master Big Data with Scala and Spark

Master Big Data With PySpark and AWS

Mastering MongoDB for Beginners

Building your own AI applications

Welcome to the comprehensive Big Data and Data Science bundle, where you’ll embark on an educational journey covering a wide range of essential skills and technologies. This course equips you with expertise in Scala, PySpark, AWS, Data Scraping, Data Mining, and MongoDB. Whether you’re an absolute beginner or possess some programming knowledge, this course provides in-depth coverage of these critical topics.

I. Scala:

Scala may not be the most popular coding language, but it’s undeniably one of the most sought-after skills for data scientists and data engineers. This course is meticulously designed to make Scala simple to grasp and implement. You’ll engage with quizzes and mini-projects to reinforce your learning, making your Scala experience seamless.

Key Highlights:

High Demand Skill: Scala is in high demand in the industry, and this course ensures you acquire essential skills

Practical Learning: Quizzes and mini-projects serve as building blocks for a comprehensive understanding of Scala

Hands-on Experience: Gain practical experience by working on a Scala Spark project

Versatility: Scala is a powerful language suitable for a wide range of applications, from web development to machine learning

Learning Materials:

Comprehensive Scala tutorials

Scala quizzes and assessments

Hands-on Scala Spark project

Scala code examples and exercises

II. PySpark and AWS:

Python and Apache Spark are at the forefront of Big Data analytics, and PySpark bridges the gap between them. In this section, you’ll start with the basics and progress to advanced data analysis. You’ll work with PySpark for data analysis, explore Spark RDDs, Dataframes, and Spark SQL queries, and delve into Spark and Hadoop ecosystems. Additionally, you’ll discover how to leverage AWS cloud services with Spark.

Key Highlights:

Python and Spark Integration: Master the art of using Python and Spark together for effective Big Data analysis

Comprehensive Coverage: Explore Spark RDDs, Dataframes, Spark SQL queries, and seamlessly integrate with AWS

Hands-on Practice: Apply your knowledge through practical exercises and projects

Learning Materials:

In-depth PySpark and AWS tutorials

PySpark quizzes and assessments

AWS integration guides and examples

PySpark code samples and hands-on projects

III. Data Scraping and Data Mining:

Data scraping involves extracting data from websites and APIs, making it a valuable skill for data professionals. This section is tailored for beginners, starting with foundational concepts and gradually delving into advanced techniques through practical implementations. Hands-on projects are a pivotal part of this segment, allowing you to learn through experimentation and real-world applications.

Key Highlights:

Beginner-Friendly: Perfect for individuals new to data scraping and mining

Practical Implementation: Gain deep insights through hands-on projects and real-world examples

Lucrative Career: Data scraping offers rewarding career prospects and competitive salaries

Learning Materials:

Comprehensive Data Scraping and Mining tutorials

Hands-on data extraction projects

Data scraping and mining quizzes and assessments

Data scraping code samples and automation scripts

IV. MongoDB:

This section introduces you to MongoDB, a popular NoSQL database. You’ll learn the fundamentals of MongoDB, including Create, Read, Update, and Delete operations. Dive deep into MongoDB query and project operators, enhancing your understanding of NoSQL databases. Two comprehensive projects will provide you with practical experience using MongoDB in Django and implementing an ETL (Extract, Transform, Load) pipeline with PySpark.

Key Highlights:

NoSQL Proficiency: Develop expertise in MongoDB, a highly sought-after NoSQL database

Hands-on Projects: Apply your knowledge to real-world scenarios and gain practical skills

Versatile Skills: MongoDB is invaluable for data management and analytics

Learning Materials:

MongoDB fundamentals and advanced tutorials

Hands-on MongoDB projects, including Django integration and ETL pipeline development

MongoDB quizzes and assessments

MongoDB code examples and best practices

Course Benefits:

Upon completing this comprehensive course successfully, you will be proficient in implementing projects from scratch that require expertise in Data Scraping, Data Mining, Scala, PySpark, AWS, and MongoDB. You’ll be adept at connecting theoretical concepts to real-world problem-solving, efficiently extracting data from websites, and be well-prepared for various data-related roles.

Learning Materials:

Video lectures and tutorials.

Quizzes, assessments, and solutions.

Hands-on projects with step-by-step guidance.

Code examples and templates.

Reference materials and best practices.

Enroll now to embark on your journey toward mastering Big Data and Data Science comprehensively!

Who Should Enroll:

Ideal for beginners or those looking to apply theoretical knowledge in practical scenarios

Aspiring data scientists and machine learning experts

Individuals aiming to excel in the realm of Big Data and Data Science

What You’ll Learn:

Proficiency in implementing projects requiring expertise in Data Scraping, Data Mining, Scala, PySpark, AWS, and MongoDB

Efficient data extraction from websites

Skills applicable to various data-related roles

Why This Course:

High demand for Scala skills in the industry

Comprehensive coverage of PySpark, AWS, Data Scraping, Data Mining, and MongoDB

Hands-on experience through projects and practical exercises

Versatile skills for a wide range of applications

List of Keywords:

Big Data

Data Science

Scala

PySpark

AWS

Data Scraping

Data Mining

MongoDB

NoSQL Database

Data Extraction

Data Analysis

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File size: 24.9GB

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