The Top 5 Udemy Big Data Courses for Aspiring Data Scientists
Are you looking to enhance your skills in the field of big data and analytics? Do you aspire to become a data scientist? If so, Udemy is the perfect platform to help you achieve your goals. With so many courses available, it can be overwhelming to choose the best ones. In this article, we will take a closer look at the top 5 Udemy Big Data courses for aspiring data scientists.
1. The Ultimate Hands-On Hadoop – Tame your Big Data!
This course, developed by Frank Kane, is designed to teach you the fundamentals of Apache Hadoop, a must-know technology for any big data professional. You will learn how to set up a Hadoop cluster, process data using Hadoop’s MapReduce model, and work with other Hadoop ecosystem technologies such as Apache Pig and Apache Hive. With over 150 lectures and 18 hours of content, this course provides an intensive and comprehensive understanding of Hadoop.
2. Apache Spark 2.0 with Java – Learn Spark from a Big Data Guru
Apache Spark is a powerful open-source big data processing engine that is used by many organizations to handle large-scale data processing. In this course, developed by Udemy instructor Jose Portilla, you will learn how to use Spark with Java to analyze data, create machine learning algorithms, and build streaming applications. The course includes over 80 lectures and 16 hours of content, and is suitable for beginners and experienced professionals alike.
3. Data Science A-Z™: Real-Life Data Science Exercises Included
The Data Science A-Z™ course, developed by Kirill Eremenko and SuperDataScience team, is a comprehensive introduction to data science. It covers all the essential concepts, tools, and techniques used in data science including data exploration, data visualization, machine learning, and data storytelling. Moreover, this course also contains real-life data science exercises that give you hands-on experience in solving real-world business problems.
4. Tableau 10 A-Z: Hands-On Tableau Training For Data Science!
Tableau is one of the most popular business intelligence (BI) and visualization tools in the market. In this course, developed by Udemy instructor Kirill Eremenko, you will learn how to use Tableau to analyze and visualize big data. The course covers all the essential Tableau features and techniques, including data blending, dashboards, and advanced visualization, through a hands-on approach.
5. Big Data and Hadoop Essentials
This course, developed by Udemy instructor Skillsoft, is a comprehensive introduction to big data and Hadoop technologies. It covers a wide range of topics including Hadoop architecture, HDFS, MapReduce, YARN, and other Hadoop ecosystem tools. Moreover, this course also provides hands-on experience in setting up a Hadoop cluster and running MapReduce jobs using the Hortonworks Data Platform.
Conclusion
In conclusion, these are the top 5 Udemy Big Data courses for aspiring data scientists. Each of these courses offers a deep understanding of the essential tools and techniques used in big data and analytics, and provides hands-on experience in solving real-world business problems. Whether you are a beginner or an experienced professional, these courses can help you advance your career in the field of big data. So, why wait? Start learning today!
(Note: Do you have knowledge or insights to share? Unlock new opportunities and expand your reach by joining our authors team. Click Registration to join us and share your expertise with our readers.)