This badge earner has acquired core knowledge of how the Deep Learning class of machine learning algorithms can be harnessed for more powerful and insightful data processing and pattern creation used in decision-making processes. This includes how convolutional neural networks are used to enhance the effectiveness of image recognition and classification.

With this free online data science certification, you will learn how to apply Python concepts and compound data structures to data science through many different techniques. The content includes understanding numerical Python data analysis, statistics and probability, along with much more to set you on a path of data science success.

This badge earner understands the essential steps used in data science business and research problem solving. This includes problem definition, collecting and analyzing data, building relevant models and understanding model deployment results.

This badge earner understands the big data ecosystem and hadoop commands and operations to work with big data. The earner also has foundational knowledge around Spark and its operations including RDDs, DataFrames, and the various libraries associated with the Spark Core (MLlib, Spark SQL, Spark Streaming, GraphX). Related Skills: i) Hadoop ii)Spark iii) Big Data. What it takes to earn this badge Satisfactory completion of the following courses: Big Data 101 Hadoop 101 Spark Fundamentals I

Discover the fundamental aspects of how data science helps businesses make objective and influential decisions in this data science with R course. Master the real-world applications of all the data various business sectors accumulate and use it for your clients or employers. You will also gain practical experience on how to discover patterns from raw data and the many career opportunities available in the field of data science.

Discover how to create responsive and high performance software. Develop programs with Golang that are highly Concurrent and Parallel. Improve your programming skills in Go with more advanced, mulithreading topics.

Built for new Jira users, this learning path of self-paced courses will help you get up and running in Jira. Start with key concepts like issues, projects, and boards, then discover how to navigate Jira and manage your work. Finally, learn expert tips and best practices to optimize your Jira experience.

In this course you will learn how to set up your database and start exploring different ways to search, create, and analyze your data with MongoDB. We will cover database performance basics, and discover how to get started with creating applications and visualizing your data

This course will teach you how to write your own computer programs, one line of code at a time. You’ll learn how to access open data, clean and analyse it, and produce visualisations. You will also learn how to write up and share your analyses, privately or publicly. You’ll code in Python, a widely used programming language across all disciplines. You will write up analyses and do coding exercises using the popular Jupyter Notebooks platform, which allows you to see immediately the result of running your code and helps you identify – and fix – any errors more easily. You will also look at real data from the World Health Organisation, the World Bank and other organisations.

The Elements of AI is a series of free online courses created by Reaktor and the University of Helsinki. We want to encourage as broad a group of people as possible to learn what AI is, what can (and can’t) be done with AI, and how to start creating AI methods. The courses combine theory with practical exercises and can be completed at your own pace.