Big Data

There are many benefits to learning about big data, including:

  • Improved decision-making: By analyzing large amounts of data, organizations can make more informed decisions based on facts and evidence rather than intuition or guesswork.

  • Enhanced efficiency: By analyzing big data, organizations can identify inefficiencies in their processes and make adjustments to improve efficiency.

  • Increased competitiveness: Organizations that are able to effectively collect and analyze big data can gain a competitive advantage over their competition by making quicker, more informed decisions.

  • Better understanding of customers: By analyzing customer data, organizations can gain insights into their needs, preferences, and behavior, which can help them to tailor their products and services to better meet their customers’ needs.

  • New business opportunities: By analyzing data from a variety of sources, organizations can identify new trends and patterns that can lead to the development of new products and services.

Overall, learning about big data can help organizations to make better decisions, improve their operations, and gain a competitive advantage in their market.

Here are some of the best courses on big data and how you can use it to your advantage in knowledge management.

Big Data Specialization

Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions.

Do you need to understand big data and how it will impact your business? This specialization is for you. You will gain an understanding of what insights big data can provide through hands-on experience with the tools and systems used by big data scientists and engineers. Previous programming experience is not required!

You will be guided through the basics of using Hadoop with MapReduce, Spark, Pig, and Hive. By following along with provided code, you will experience how one can perform predictive modeling and leverage graph analytics to model problems. This specialization will prepare you to ask the right questions about data, communicate effectively with data scientists, and do basic exploration of large, complex datasets.

In the final capstone project, developed in partnership with data software company Splunk, you’ll apply the skills you learned to do basic analyses of big data. 

Introduction to Big Data

Interested in increasing your knowledge of the Big Data landscape? This course is for those new to data science and interested in understanding why the Big Data Era has come to be.

Big Data Modeling and Management Systems

Once you’ve identified a big data issue to analyze, how do you collect, store and organize your data using Big Data solutions? 

Big Data integration and processing

At the end of the course, you will be able to: *Retrieve data from example database and big data management systems *Describe the connections between data management operations and the big data processing patterns needed to utilize them in large-scale analytical applications *Identify when a big data problem needs data integration *Execute simple big data integration and processing on Hadoop and Spark platforms 

Graph Analytics for Big Data

Understand your data network structure and how it changes under different conditions. Identify closely interacting clusters within a graph.