You will learn to make use of the Scala language to access databases, clean, analyze, and visualize data with Scala. Through our guided lectures and access to labs, you will get hands-on experience tackling fascinating data issues. This's an action-packed learning path for data science enthusiasts who wish to work on real-life problems with Scala.
DataTrained
Access to 15 real life projects and a capstone project
Access to analyticsjobs.in curated jobs
IBM Watson labs and $1200 equivalent Cloud Credits
Learn the foundations of the language for developers and data scientists interested in using Scala for data analysis. Tackle data analysis problems involving Big Data, Scala and Spark. Get a solid understanding of the fundamentals of the language, the tooling, and the development process. Develop a good appreciation of more advanced features.
Course ContentLearn the history of Apache Spark™, how to build applications with Spark, how to establish an understanding of RDDs and Data Frames, and other advanced Spark topics.
In this course you will learn about Basic statistics and data types, Preparing data, Feature engineering, Fitting a model and Pipelines and grid search. Apache Spark™ is a fast and general engine for large-scale data processing, with built-in modules for streaming, machine learning and graph processing. This course shows you how to use Sparks' machine learning pipelines to fit models and search for optimal hyperparameters using a Spark cluster.
Course ContentThe curriculum has been designed by faculty from IITs, and Expert Industry Professionals.
Hours of Content
Live Sessions
Tools and Software
Learn from India’s leading Software Engineering faculty and Industry leaders
Saeed Aghabozorgi, PhD is a Data Scientist in IBM with a track record of developing enterprise level applications that substantially increases clients’ ability to turn data into actionable knowledge.
Rav Ahuja is a Senior Manager with IBM Canada Lab specializing in AI, Data Science and Big Data analytics. He is part of the Emerging Technologies team and is involved in incubating solutions for Data Scientists and Analytics Professionals.
Raul F. Chong is a Senior Program Manager based at the IBM Toronto Laboratory. Raul joined IBM in 1997 and has held numerous positions in the company. Raul has taught many DB2 workshops, has published numerous articles, and has contributed to the DB2 Certification exam tutorials.
Grant Hutchison had worked with IBM for 18 years as Senior Engineer and Manager at IBM Canada (1991-2009). He held various roles including: Software Development, Support, Quality Assurance, Marketing, Sales, Training, and Product Management.
Yes, there are multiple Scala certifications available. However, we provide IBM Scala certification at affordable prices. Our mission is to provide quality education at an affordable with the best counseling session and industry interface.
You’ll get 3 certifications after completing this course that will add an edge to your resume.
Our job is to provide you with quality education and assist your new journey. We want our students to get a job before they finish the course for that we provide career assistance.
Scala is a high-level programming language that combines object-oriented and functional programming. Scala's static focus on enhancing complicated applications avoids bugs, and its JVM and JavaScript runtimes allow you to construct high-performance systems with simple access to a vast library ecosystem.
However, Apache Spark is one of the most compelling reasons to learn Scala for machine learning. Scala may be used in combination with Apache Spark to handle enormous amounts of data, often known as Big Data.
The learning path of Scala should be in steps such as learning basics, its applications, jargon, etc. Our scala course is structured and defines a straight path to learn. Let's have a look at the module of our Scala course
IBM Developer Skills Network Badge Program is the initiative of awarding students with a digital badge who pass their exam. A digital badge is a global recognition of technical skills that can be shared on social, and professional networking sites.
Advantages of digital badges:
Getting a badge from a reputed organization that has a foot in the global market will make a strong impression on your career and your resume.
Scala is good for data science. However, Python and R libraries are comprehensive but scala has its own advantages over python and R. These are advantages are:
The length of time required to learn Scala is affected by whether or not you are already familiar with Java. Scala will take you around a month to learn if you already know Java. It will take you two to three months to grasp Scala if you are not already familiar with it.
According to several software professionals, Scala has a high learning curve. In Scala, there are numerous ways to achieve things, and it's a language that encourages creativity and flexibility. If you're a skilled programmer, and specifically you're familiar with Java, this may be quite useful. Working with a language that offers several ways of achieving the same thing might be tough if you are just getting started with programming.
Scala certification cost depends on the location and academy. Our Scala certification is very cheap and affordable, however, we have not compromised on quality. Our Scala certification cost ₹{{ $page->price }}.
Our mission is to provide quality education at an affordable with the best counseling session and industry interface. The benefits of enrolling in our course :
Yes, Scala is used for big data, In fact, Scala is specially designed for big data. Scala has libraries and tools for big data. Apache spark and apache Kafka are coded in Scala.
You are eligible for a refund of the Booking Amount if you cancel your course within 7 calendar days of the Course Registration Date, which is the date of payment. However, this refund policy does not supersede any course-specific refund terms. Please consult your counselor for more information about the respective course's refund terms.