Source: Udemy
The editors at Solutions Review have compiled this list of the best big data courses on Udemy to consider if you’re looking to grow your skills.
The growing importance of data management best practices and techniques for delivering against big data are becoming paramount in the enterprise. The big data landscape is evolving in real-time, which has organizations scrambling to utilize their data architectures soundly. Coupled with this, Hadoop and the data lake have emerged as technologies no company can ignore, as they complement the data warehouse quite nicely, and in some cases are even replacing it.
With this in mind, we’ve compiled this list of the best big data courses on Udemy if you’re looking to grow your data management skills for work or play. Udemy is one of the top online education platforms in the world with more than 130,000 courses, expert instruction, and lifetime access that allows you to learn on your own schedule. As you can see below, we broke the best big courses on Udemy down into categories based on the recommended proficiency level. Each section also features our inclusion criteria. Click GO TO TRAINING to learn more and register.
Note: We included courses with more than 200 reviews and a rating of 4.2 stars or better.
Description: In this course, you will learn about big data, the Internet of Things (IoT), data science, big data technologies, artificial intelligence (AI), machine learning (ML) algorithms, neural networks, and why this could be relevant to you even if you don’t have technology or data science background. The course includes interviews with industry experts that cover big data developments in real estate, logistics and transportation and healthcare industries. You will learn how machine learning is used to predict engine failures, how artificial intelligence is used in anti-aging, cancer treatment, and clinical diagnosis, you will find out what technology is used in managing smart buildings and smart cities including Hudson Yards in New York.
Description: Big Data Hadoop and Spark with Scala will prepare you to switch into a career in big data, Hadoop or Spark. After watching this training, you will understand Hadoop, HDFS, YARN, MapReduce, Python, Pig, Hive, Oozie, Sqoop, Flume, HBase, NoSQL, Spark, Spark SQL, and Spark Streaming. All materials are provided. This course is for professionals who are looking to advance their careers in data engineering. No pre-requisites are required.
Description: This course prepares participants to begin running data analysis on databases. Both univariate and multivariate analysis are covered with a particular focus on regression analysis. Regression analysis is done in Excel, SAS, and Stata to give viewers a sense of familiarity with a variety of different software package structures. The focus in this course is on financial data though the techniques are also applicable to more general forms of data like that used in marketing or management analyses.
Description: This course covers the required fundamentals about big data technology that will help you confidently lead a big data project in your organization. It covers big data terminology like the 3 Vs of big data and key characteristics of big data technology that will help you answer important questions. You will be able to identify various big data solution stages from big data ingestion to big data visualization and security. You will also be able to choose the right tool for each stage of the big data solution. This course is for any team lead or manager who wants to learn about what big data is all about.
Note: We included courses with more than 100 reviews and a rating of 4 stars or better.
Description: This course will teach the basics with a crash course in Python, continuing on to learning how to use Spark DataFrames with the latest Spark 2.0 syntax. Once you’ve done that you will go through how to use the MLlib Machine Library with the DataFrame syntax and Spark. All along the way you’ll have exercises and mock consulting projects that put you right into a real-world situation where you need to use your new skills to solve a real problem! We also cover the latest Spark Technologies, like Spark SQL, Spark Streaming, and advanced models like Gradient Boosted Trees.
Description: This Big Data on AWS course is primarily to simplify the use of big data tools on AWS. With the unstoppable growth in the organizations moving towards data science and big data analytics there is a need for trained professionals who are well versed with both Big data and AWS technologies. This course helps the learners get the best of both worlds (Big Data analytics and AWS Cloud) and prepare for the future. This course does not presume that students have prior knowledge of AWS or its big data services.
Description: Apache Beam is the future of big data technology. This course is for those who want to learn how to use Apache Beam and Google Cloud Dataflow. This course will introduce various topics, including architecture, transformations, side inputs/outputs, streaming with Google PubSub, Windows in streaming, handling late elements, using triggers, Google Cloud Dataflow, and Beam SQL. By the end of this course, you will find yourself ready to start using Apache Beam in a real-world environment.
Note: We included courses with more than 2,500 reviews and a rating of 4.5 stars or better.
Description: This course is comprehensive, covering over 25 different technologies in over 14 hours of video lectures. It’s filled with hands-on activities and exercises, so you get some real experience in using Hadoop – it’s not just theory. You’ll find a range of activities in this course for people at every level. If you’re a project manager who just wants to learn the buzzwords, there are web UIs for many of the activities in the course that require no programming knowledge. If you’re comfortable with command lines, we’ll show you how to work with them too. And if you’re a programmer, I’ll challenge you with writing real scripts on a Hadoop system using Scala, Pig Latin, and Python.
Description: This course is very hands-on; you’ll spend most of your time following along with the instructor as we write, analyze, and run real code together – both on your own system, and in the cloud using Amazon’s Elastic MapReduce service. over 8 hours of video content is included, with over 20 real examples of increasing complexity you can build, run, and study yourself. Move through them at your own pace, on your own schedule. The course wraps up with an overview of other Spark-based technologies, including Spark SQL, Spark Streaming, and GraphX.
Description: This course is very hands-on; you’ll spend most of your time following along with the instructor as we write, analyze, and run real code together – both on your own system, and in the cloud using Amazon’s Elastic MapReduce service. 7 hours of video content is included, with over 20 real examples of increasing complexity you can build, run, and study yourself. Move through them at your own pace, on your own schedule. The course wraps up with an overview of other Spark-based technologies, including Spark SQL, Spark Streaming, and GraphX.
Description: This course comes with full projects for you including topics such as analyzing financial data or using machine learning to classify eCommerce customer behavior. Instructors teach the latest methodologies of Spark 2.0 so you can learn how to use SparkSQL, Spark DataFrames, and Spark’s MLlib. After completing this course you will feel comfortable putting Scala and Spark on your resume! This course was designed for those who already have coding experience.
Description: In this course, you will learn big data using the Hadoop ecosystem. It is aimed at Software Engineers, Database Administrators, and System Administrators that want to learn about big data. Other IT professionals can also take this course but might have to do some extra research to understand some of the concepts. You will learn how to use the most popular software in the big data industry at moment, using batch processing as well as real-time processing. Learn Big Data features more than 6 hours of lectures and support is available if you get stuck.
Description: This course gets your hands on to some real live Twitter data, simulated streams of Apache access logs, and even data used to train machine learning models! You’ll write and run real Spark Streaming jobs right at home on your own PC, and toward the end of the course, we’ll show you how to take those jobs to a real Hadoop cluster and run them in a production environment too. You’ll be learning from an ex-engineer and senior manager from Amazon and IMDb.
Description: This course covers all the fundamentals of Apache Spark with Java and teaches you everything you need to know about developing Spark applications with Java. At the end of this course, you will gain in-depth knowledge about Apache Spark and general big data analysis and manipulations skills to help your company to adapt Apache Spark for building big data processing pipelines and data analytics applications. This course is very hands-on, and the instructor has put lots effort to provide you with not only the theory but also real-life examples of developing Spark applications that you can try out on your own laptop.
Description: Learn and master the art of framing data analysis problems as MapReduce problems through over 10 hands-on examples, and then scale them up to run on cloud computing services in this course. You’ll be learning from an ex-engineer and senior manager from Amazon and IMDb. This course is best for students with some prior programming or scripting ability. We will treat you as a beginner when it comes to MapReduce and getting everything set up for writing MapReduce jobs with Python, MRJob, and Amazon’s Elastic MapReduce service – but we won’t spend a lot of time teaching you how to write code.
