Enter your email to unlock a preview of the course syllabus.
You'll learn the basics of using Python gathering and presenting data to find real insights from data you have, SQL for querying, as well how to design and run your own experiments to gather new data.
Time to build your first models. You'll start in machine learning with supervised models, covering everything from the classics to cutting edge techniques.
The second largest branch of machine learning, here we'll cover various forms of unsupervised models, useful for things like feature reduction and clustering.
Data science is a wide field. Specializations will help you stand out. Pick your path and learn some more advanced skills.
Choose from three specializations because Data Science is a highly contextual discipline. No other bootcamp writes curriculum to enable specialization like we do.
Natural Language Processing, usually just simply called NLP, is the key to applying the tools of data science to human language. In this specialization you’ll learn some of the various ways data scientists can extract rigorous analytic insights from text and language. You’ll learn techniques like sense2vec and ngrams for translating text into tabular data and Latent Semantic Analysis for finding topics in text.
The tools you’ll learn can be used to build things like sentiment classifiers or spam detectors, or even automatically create summaries of large pieces of text. Want to be able to algorithmically identify who wrote that novel? Want to automatically summarize each message in your inbox? Quickly tell if the feedback your customers left means they are satisfied? This is the specialization for you.
One of the most exciting advances in data science in the past several years, deep learning is becoming a powerful and essential tool in the data science toolkit. A continuation of the concepts and structures of simple neural networks that have been around for decades but enabled by increased data collection and computing power, deep learning has found incredible power and accuracy across a wide variety of fields.
This growth in deep learning has been enabled by new packages that have made it easier than ever to build custom neural networks. In this specialization you’ll learn two of the most widely used deep learning packages, Keras and TensorFlow. You’ll also cover various neural network structures such as feed forward, convolutional, and recurrent. By the end of the specialization you’ll be ready to deploy these packages in whatever environment you choose, building powerful neural networks to create some of the most accurate models possible today.
Despite being a relatively new term, big data simply refers to working with large volumes of data, often varying in structure and format. This specialization is about using your skill set to extract actionable insights from these myriad data sources. Big data can be analyzed to uncover ways to reduce costs and time, improve product design, make smarter decisions, and answer all sorts of questions. While it’s relevant to every industry, big data has become particularly important in finance, education, government, manufacturing, healthcare, and retail.
This specialization introduces Spark for big data. You’ll learn to build and execute a pipeline in batch mode as you get a feel for Spark’s structure. Then you’ll move on to the more complex aspect of big data - processing live streams of data. Throughout the specialization, you’ll pose research questions and use these techniques to form possible answers.
Your personal mentor is not only your partner-in-code, but a seasoned industry-expert who is as dedicated to your success as you are.
We invest as much in you as you do in us. We put a whole team of support behind you, including: a mentor, program manager, career coach, and career services manager.
Even after graduation, we’re still invested in you. Your very own career coach will spend the next six months helping you navigate the job market, apply to positions, and ace your interviews.
It's on your own time - but you have to work to make it work. That means finding the time before and after work to commit to the program.
Learn the right things in the right order. Our curriculum is battle-tested and refined to keep pace with the state of the art in technology and the demands of the job market.
You bring the ambition, we'll bring the support. With over 40 hours of Q&A sessions and two dedicated personal mentor sessions a week, there's no doubt you'll be working in the right direction.
Build deeply technical and impressive projects to build your portfolio and prove your tech abilities to employers.
grads hired for roles in fieldSee Outcomes
Average yearly salary as reported by studentsSee Outcomes
Rated on CourseReportRead Reviews
Fill out our quick online application by answering a few questions.
This interview will make sure your learning preferences and schedule align with the course.
Select a payment plan, or choose from one of our many financing options.
Complete online enrollment with your Admissions advisor.
Begin your Data Science journey with your mentor.
Apply now or talk with an education advisor to learn more about our courses.