Get certified in Big Data with some Online Courses

The Internet of Things is creating massive quantities of data, and managing and analyzing it requires a unique approach to programming and statistics for distributed data sources.

This course will teach introductory programming concepts that allow connection to, and implementation of some functionality on, IoT devices, using the Python programming language. In addition, students will learn how to use Python to process text log files, such as those generated automatically by IoT sensors and other network-connected systems.

Learners do not need prior programming experience to undertake this course, and will not learn a specific programming language - however, Python will be used for demonstrations. This course will focus on learning by working through realistic examples.

What you'll learn

Appreciate the software needs of an IoT project
Understand how data is managed in an IoT network
Apply software solutions for different systems and Big Data to your IoT concept designs
Create Python scripts to manage large data files collected from sensor data and interact with the real world via actuators and other output devices.

Microsoft Professional Capstone: Big Data

Validate the skills you learned in the Microsoft Professional Program for Big Data.

By Microsoft

About this course

The Microsoft Professional Program for Big Data is a comprehensive curriculum that teaches you how to build big data solutions.

In this capstone project, you will undertake challenges to design, implement, and document a big data solution based on what you have learned.

What you'll learn

Apply the big data skills you have learned in the Microsoft Professional Program for Big Data to build a big data solution.

Big Data Fundamentals

Learn how big data is driving organizational change and essential analytical tools and techniques, including data mining and PageRank algorithms.

By University of Adelaide

About this course

Organizations now have access to massive amounts of data and it's influencing the way they operate. They are realizing in order to be successful they must leverage their data to make effective business decisions.

In this course, part of the Big Data MicroMasters program, you will learn how big data is driving organizational change and the key challenges organizations face when trying to analyze massive data sets.

You will learn fundamental techniques, such as data mining and stream processing. You will also learn how to design and implement PageRank algorithms using MapReduce, a programming paradigm that allows for massive scalability across hundreds or thousands of servers in a Hadoop cluster. You will learn how big data has improved web search and how online advertising systems work.

By the end of this course, you will have a better understanding of the various applications of big data methods in industry and research.

What you'll learn

Knowledge and application of MapReduce
Understanding the rate of occurrences of events in big data
How to design algorithms for stream processing and counting of frequent elements in Big Data
Understand and design PageRank algorithms
Understand underlying random walk algorithms

Introduction to Big Data

Get started on your journey to building Big Data solutions.

By Microsoft

About this course

Learn what it takes to build Big Data analytics solutions.

This is the first stop in the Big Data curriculum from Microsoft. It will help you get started with the curriculum, plan your learning schedule, and connect with fellow students and teaching assistants. Along the way, you'll get an introduction to working with data and some fundamental concepts and technologies for Big Data scenarios.

What you'll learn

How the Microsoft Big Data curriculum works
An introduction to data formats, technologies, and techniques
Fundamentals of Databases
Basic principles for working with Big Data

Source: HOB

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