Ready to get out of Excel? Learn how to store, manipulate, and access your data in Data Management with IBM tools! This is an action-packed learning path is for data enthusiasts who want practical skills in managing and analyzing data in databases.
Advance your data management skills! Take this learning path to learn the basics of relational database concepts and gain practical SQL programming skills. You’ll also explore NoSQL databases, the basics of data warehousing, the challenging area of big data analytics, and more!
About this Data Management with IBM course
Data is everywhere. Data Management with IBM learning path will teach you how to store, manipulate, and access your data with the help of a variety of practical tools and skills. Gain proficiency in managing relational databases (SQL, DB2) and NoSQL databases (MongoDB, Apache Cassandra), understanding the main concepts of data science and machine learning, writing MapReduce programs in Python for Hadoop, building predictive models using R, and accessing cloud data stored in Amazon’s S3 storage service. This action-packed learning path is designed to give you practical skills in data science and machine learning by combining hands-on experience with real datasets, quizzes, and hands-on labs.
Data Management with IBM course outline
Course 1: NoSQL and DBaaS 101
This Data Management with IBM course is great for people and organizations hoping to guarantee their application stack can scale to oblige a quickly developing dataset. Moreover, it is appropriate for individuals trying to deal with a flood of simultaneous clients, or who wish to pass the organization of a current datastore to a specialist co-op. People who require high accessibility and calamity recuperation overt repetitiveness for application information will likewise track down it of extraordinary advantage.
During this course, you will be acquainted with the NoSQL data set the scene. You'll investigate the advantages of involving a Database-as-a-Service (DBaaS) offering. Furthermore, you'll figure out how to utilize Cloudant, including account join, making and reproducing databases, and stacking and questioning information.
Whenever you've finished these tasks, you will be acquainted with NoSQL and DBaaS, the important attributes and use cases, and you will have a top to bottom comprehension of the stage arrangement. For people hoping to construct abilities in this basic large information innovation, along these lines, NoSQL and DBaaS 101 is the best spot to begin.
Course 2: Using R with Databases
R has become one of the best 5 programming languages for data analysis. It is utilized by associations
to investigate data in social databases, in addition to other things. Also, this implies that people with
solid abilities in R are sought after.
During this course, you will be acquainted with the advantages of utilizing R with databases. You will figure out how to interface with databases from R and how to make database objects. You will find how to populate a database and issue SQL queries to recover and change your data from R. Besides, you will examine further developed themes like utilizing put away systems and using in-database examination with R.
In general, this course is expected to empower you to use the force of R to open the worth of data in social databases and defeat the constraints of R for investigating extremely huge data sets.
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