Would you invest in yourself, your career, and your future if you received a check tomorrow? With the US tax season coming to an end, many are anticipating a tax refund. According to the IRS, the average refund this year is $3,000. This is typically a time when people go out and purchase cars, clothes or go on a vacation, but what if this year was different? What if, instead of buying “things”, you invested that money in a brighter future for yourself?
“People truly respected the fact that I actually went out and reskilled, proving I was willing to gain new skills, follow my intuition and invest in myself” Rebecca McDowall, Data Analyst at Accenture
We’re working with Amazon Web Services (AWS) and their AWS Educate program to teach you how to deploy machine learning models using Amazon SageMaker.
Over the past few years, the demand for machine learning specialists and engineers has soared, with machine learning engineers and specialists ranking amongst the top emerging jobs on LinkedIn. Recently, machine learning has been adopted by a wide range of industries, including medical diagnostic companies, finance firms, and more. Udacity’s Intro to Machine Learning Nanodegree program and Machine Learning Engineer Nanodegree program were built in response to this demand to provide access to this growing tech field.
We’ve seen advances in research and industry practices as more companies look to build machine learning products. Specifically, there is a growing demand for engineers who are able to deploy machine learning models to a global audience. Deployment means making a model available for use in a piece of hardware or web application, such as a voice assistant or recommendation engine. Knowing how to build machine learning models is a great starting point, but to truly make an impact at scale, a data scientist or programmer needs to know the techniques and tools to deploy that model so that it’s highly accessible.
To keep up with this advancement and bring the best educational experience to our students, we are updating the Machine Learning Engineer Nanodegree program to include the latest skills by adding two new projects focused on deployment skills.
Real-world projects are integral to every Udacity Nanodegree program. They become the foundation for a job-ready portfolio to help learners advance their careers in their chosen field. The projects in the Data Engineer Nanodegree program were designed in collaboration with a group of highly talented industry professionals to ensure learners develop the most in-demand skills. Every project in a Nanodegree program is human-graded by a member of Udacity’s mentor and reviewer network. These project reviews include detailed, personalized feedback on how learners can improve their work. Graduates consistently rate projects and project reviews as one of the best parts of their experience with Udacity.
The Project Journey
The projects will take you on a journey where you’ll assume the role of a Data Engineer at a fabricated data streaming company called “Sparkify” as it scales its data engineering in both size and sophistication. You’ll work with simulated data of listening behavior, as well as a wealth of metadata related to songs and artists. You’ll start-, working with a small amount of data, with low complexity, processed and stored on a single machine. By the end, you’ll develop a sophisticated set of data pipelines to work with massive amounts of data processed and stored on the cloud.
Marc Andreessen famously said, “Software is eating the world.” And there’s data to prove it: According to a report by the Bureau of Labor Statistics, there were more than 1.25 million software engineering jobs in the US in 2016 alone, and those jobs were growing at a rate of 24% per year. On top of this growth, software engineers enjoy an average annual salary of nearly $100k!
But what does it take to land a job as a software developer? Having a deep and practical understanding of data structures and algorithms is key to acing the job interview and growing your technical career. Whether you want to become a web developer or set a foundation in software development to move into roles like machine learning engineer or data engineer, understanding data structures and algorithms will help you get there.
Today, we are excited to announce the Data Structures and Algorithms Nanodegree Program! From evaluating which data structures to use when you’re building a website, to selecting the right algorithm for a self-driving car, every software engineering problem requires an intuitive understanding of these tools. This is why all software engineering job interviews emphasize data structures and algorithms during coding interviews.
Students will practice solving everything from very well-defined problems, like how to calculate the efficiency of a specific algorithm, to more open-ended problems, like building your own private blockchain or writing a web-crawler. With the launch of this program, anyone with an Internet connection and intermediate Python skills can practice these in-demand interview skills with over 100 problems.
During this program, students will complete four courses and over 100 practice problems. Throughout the program, students will start by practicing with well-defined problems and then move into open-ended problems that will require them to make design trade-offs. All practice problems and projects require that students have intermediate Python knowledge.
Having a deep and practical understanding of data structures and algorithms is key to acing the job interview and growing your technical career.
Here’s a course-by-course breakdown:
According to Paysa, Marketing Analysts earns an average of $81,294, with top earners earning more than $106,818. As salaries in the field heat up, the United States Bureau of Labor Statistics projects that the demand for marketing professionals with an analytics background is set to grow 23 percent from 2016 to 2026, growth driven by an increased use of data and market research across all industries.
Today, we are excited to launch the Marketing Analytics Nanodegree Program. We collaborated with entrepreneur, startup advisor, and marketing expert Brad Batesole to focus the program on in-demand skills like data visualization, data analysis, campaign reporting, and more.
In this program, students will learn foundational data skills and gain an in-depth understanding of Google Analytics, Data Studio, Excel, and Tableau to analyze possible business outcomes, visualize and communicate findings, and produce insights that power business growth.
According to a recent report by DOMO, the world produces 2.5 million terabytes of data per day. Data is quickly becoming the lifeblood of digital transformation, and companies are scrambling to re-invent themselves as data-driven organizations. That’s why, according to Indeed and Glassdoor, the ratio of data engineer to data scientist job openings is roughly four-to-one.
Companies can’t find enough data engineers to store, organize, and manage their ever-increasing amount of data.
Data engineers are responsible for making data accessible to all the people who use it across an organization. That could mean creating a data warehouse for the analytics team, building a data pipeline for a frontend application, or summarizing massive datasets to be more user-friendly.
Today, we are excited to announce the Data Engineer Nanodegree Program. Students who take this program will learn the technical skills required to become a data engineer. With the launch of this program, anyone with an Internet connection (and the relevant background and skills) will be able to enroll. Companies all over the world are looking for data engineers and our goal is to help anyone who wishes to land a job in the field can do so.
Since the first Nanodegree programs launched in 2014, Udacity has had a simple mission—to connect our highly-skilled graduates with job opportunities. This focus has produced some great successes, with talented candidates getting offers at incredible companies like Amazon, AT&T, Bosch, Facebook, Google, and IBM.
We’re pleased to announce that we are building on that success by launching an improved AI-based process for matching candidates with employers—the Udacity Talent Program. Alumni who graduated from a Udacity Nanodegree program in the last six months are eligible to share their resumes with our network of employers. And participating employers are able to browse a brand-new platform, powered by GLIDER.ai, to source their ideal candidates—even in traditionally difficult-to-source technical areas like Artificial Intelligence, Data Science, and Autonomous Systems.
“The quality of the job candidates is really impressive. The candidates have these totally different backgrounds, but have made all these efforts to reinvent themselves. They want to be the person that creates solutions.”
Jennifer Langston, Lead College Recruiting Manager at AT&T
With the release of the updated Talent Program,we’re streamlining access for students and employers. It’s going to be a better experience for everyone!