If you are also looking for a course that is free and you want that course to be from a professional company, then this is a great opportunity for you, IBM company is providing online courses for free, so let’s see what are those courses.
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1. Python for Data Science
This introduction to Python will give you a boost in learning Python for data science and programming in general. This beginner-friendly Python course will have you programming in Python from scratch in just a few hours. Once done, you can write your own Python script. If you want to learn Python from scratch, this free course is for you.
This introduction to Python will give you a boost in learning Python for data science and programming in general. This beginner-friendly Python course will have you programming in Python from scratch in just a few hours.
2. Introduction to Cloud
This course introduces you to the basic concepts of cloud computing. You will acquire the basic knowledge necessary to understand cloud computing from both a business and practical perspective.
You will study the definitions and key characteristics of cloud computing, its history, emerging trends, and the business case for cloud computing. You will also study different cloud service models (IaaS, PaaS, SaaS) and deployment models (public cloud, private cloud, hybrid cloud) and key components of cloud architecture (virtualization, virtual machines, storage, networking, containers, serverless).
3. Introduction to Machine Learning
Gain experience building and training machine learning models so you can predict which animals will make certain sounds, such as snails. B. Cat purring or a dog barking. Integrate these models into the simple web pages you create in Node-RED. Then add visual recognition so you can identify animal pictures.
If you are a developer and want to learn more about machine learning, this is the course for you. Even if you have experience with machine learning, you may have never worked with audio files as input data. Either way, you’re in the right place. In this course, you will learn to create a basic machine-learning model that will train you to recognize the sounds of dogs, cats, and birds. They will also integrate visual recognition to identify images of these animals. You will create a simple user interface in Node-RED which will display audible and visual prediction results. They used IBM Watson Studio to create a classification model to predict and identify animal sounds and used IBM Watson Visual Recognition to identify images of these animals.
4. Build Your Own Chatbot
This chatbot course provides a hands-on introduction that will teach you everything you need to know to plan, build, and deploy your first customer support chatbot. With the cognitive processing power of IBM Watson Assistant, you can design your own chatbot without writing any code. You will also learn how to quickly deploy a chatbot on a WordPress-based website. If you want to learn how to create a virtual assistant – and maybe one for your own business – this free chatbot course is for you.
This chatbot course provides a hands-on introduction that will teach you everything you need to know to plan, build, and deploy your first chatbot. With the cognitive processing power of Watson Assistant, you can design your own chatbot without writing any code. You will also learn how to quickly deploy a chatbot on a WordPress-based website.
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5. Digital Analytics & Regression
Data science is like a triathlon. The programming is cyclical, perhaps the largest investment is required in hardware and software. Running is knowledge and communication skills, and swimming is mathematics, statistics, and modeling. There is (and always will be) racing in each of these disciplines—cycling, running, and swimming—but the need for super athletes who can do all three is growing. An athlete who is brilliant in one discipline can study two other disciplines and be successful in triathlons.
Regardless of your major discipline, this course will take you through a short triathlon. You define a business problem, identify the data needed to solve it, write scripts in the R programming language to create models that give you insight, and learn to present your results in a business format to a business audience.
6. Intermediate Course Spark Fundamentals
Learn the basics of Spark, the technology that is revolutionizing the world of analytics and big data! Spark is an open-source processing engine built for speed, ease of use, and analytics. If you have large amounts of data that require low-latency processing that a typical MapReduce program can’t provide, Spark is a great choice.
Learn how it works at speeds up to 100x faster than Map Reduction for iterative algorithms or interactive data mining.
Learn how it offers blazing-fast in-memory cluster computing and supports Java, Python, R, and Scala APIs for easy development.
Learn how to tackle multiple data processing scenarios, seamlessly combining SQL, streaming, and complex analytics in the same application.
Learn how it works on Hadoop, Mesos, standalone, or in the cloud. It can access different data sources like HDFS, Cassandra, HBase, or S3.
