DATA SCIENCE

PROGRAM OVERVIEW

The Data Science and Machine Learning course will enable participants to implement the most widely used Machine Learning algorithms for a range of real-world data sets. We will use Pandas and scikit-learn, the popular Python Data Science packages. We will take a handful of real-world examples through all the steps from data preparation to applying algorithms and evaluating their performance. Datasets will include the Wisconsin breast cancer study, Seattle housing prices and several other standard example sets. Methods will include Linear Regression, Logistic Regression, Decision Trees, Clustering and Nearest Neighbor algorithms, as well as how to structure an implementation to deal with common practical requirements and determine optimal solutions.

We will also cover advanced topics in the field, including cutting-edge advancements such as ML as a Service, Online Machine Learning, ML for Big Data and Open Source Software Technologies used to build ML/AI stack. Throughout we will focus on real world implementations and how to use these powerful tools to draw useful insights from often imperfect raw data.

CLASS SCHEDULE

NEXT START DATE: SEPTEMBER 13, 2017
DURATION: 30 HOURS
CLASS TIME: WEDNESDAYS 6:30 PM TO 9:30 PM
END DATE: NOVEMBER 15, 2017
LOCATION: 3600 136TH PL SE SUITE 300 BELLEVUE, WA
COST: $800

PREREQUISITES

Applicants should have a Bachelor’s degree in Science, Technology, Engineering or Math or equivalent experience in quantitative science or programming.


MEET THE INSTRUCTORS


ABHISHEK GOSWAMI

Abhishek works in the Azure Machine Learning team at Microsoft. He has several papers and patents in the field of data science, machine learning and big data. He has been using machine learning in diverse real-world scenarios, such as ad pricing, click prediction, financial forecasting, user segmentation, customer churn prediction and natural language processing. Abhishek blends ML theory with practice, and has hands-on experience with several machine learning libraries such as scikit-learn, vowpal wabbit, sparkml, tensor-flow and cntk. Abhishek did his M.S. from SUNY, Stony Brook with a focus on unsupervised learning and graphical models.

STUDENT TESTIMONIALS

Yashoda Sreepada

This course is a great introduction into machine learning for beginners. Course covered everything I need to know to be able to go away and continue learning and was taught at a good pace. The instructor was very good and explained concepts with relevant examples and was always able to answer questions patiently.

Yashoda Sreepada

Liliia Pavliuchenkova

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I attended two courses from Z2 DataLabs and I am really satisfied with the standard of the classes. It was a great experience to work on a real Microsoft project during the course based on the requirements gathered from the Microsoft representative. Also, the internship opportunity at Software AG after the Course, working on their real projects, is very valuable. I highly recommend the Course to anyone interested to get real world hands-on experience.

Liliia Pavliuchenkova
INTERN, SOFTWARE AG

Arati Maggavi

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I took the courses on SQL, RDBMS and MSBI with Z2 DATALABS. The Instructor was well knowledgeable and followed a Practical oriented teaching. I am very much satisfied with high standards and courses from Z2 DATALABS. It was a great experience to work on a real Microsoft Project during the course based on the requirements gathered by the Microsoft Representative. Also the internship opportunity at Software AG after the course, which will add the value in the job search. I recommend the Course to anyone who are interested to get hands on experience with real projects.

Arati Maggavi
TEST ENGINEER, TECH MAHINDRA

Nithya Kalyani

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Attending training at Z2 DataLabs was one of the best ways to enhance my skills. The training was extremely helpful in terms of learning and using them in building great solutions. Instructor was very good in explaining concepts and giving lot of scenarios to practice. There were many hands-on exercises and we also did a real-world project for Microsoft. I also got internship project after finishing my training with Z2 DataLabs which is giving me lot of experience and more learning. I strongly recommend to start with Z2 DataLabs’ classes if you would like to work in technology.

Nithya Kalyani
BI DEVELOPER, CONNX SOLUTIONS BY SOFTWARE AG

Arathi Someshwar

I found the class to be interesting. It was conducted from a project perspective wherein we were taught to build data and use that in the SSIS and SSAS projects we worked on in class. I am looking forward to the project that we will be working on as part of the internship and hope to cover lot more ground there.

Arathi Someshwar

Ranjit Kumar

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Course was very well organized. Instructor has in depth knowledge of Statistics which helped us to understand clearly and answered all our questions. Since we were new to machine learning, the algorithms and data sets used for exercise has given us much needed kick start. For all the Data Science Enthusiasts, this course is good way to start moving in this direction as we will get good insight into machine learning algorithms and how can use that for predictive analysis.

Ranjit Kumar
SOFTWARE ENGINEER, NEAL ANALYTICS

Jignesh Rathod

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Great program to the field of Data Science and Machine Learning. The instructor was very knowledgeable and hands on. The course was well organized and the instructor did a good job in clarifying all the doubts as it emerged throughout the course. I would recommend this course to whoever is interested in learning about Data Science and Machine Learning.

Jignesh Rathod
SOFTWARE LEAD, ATRIUM WINDOWS AND DOORS

Ahmed Khan

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Z2 DataLab’s Data Science and Machine Learning program has exceeded all my expectations and was an amazing experience! It was a great way for me to go from knowing little about data science and machine learning to knowing enough to build my own machine learning models. I feel extremely enabled in the machine learning world after completing the course. It was one of the most practical and detailed oriented data science sessions I have ever attended. The course had a hands-on approach and utilized several datasets to build and test ML Models based on different algorithms. Being able to have in person discussion on topics is worth the time and money. I am very impressed by the in-depth knowledge, teaching skills and patience of the Instructor! The training venue was very convenient and it was excellent getting to know the other participants. I would highly recommend this course to anyone seeking a very solid foundation in Data Science and Machine Learning.

Ahmed Khan
FOUNDER & PRINCIPAL MANAGEMENT CONSULTANT, 3A TECHNOLOGY

Diji Sreekumar

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This course was a great choice for me as it gave a real good understanding on Data Science and Machine Learning. The course had a hands-on approach and real world examples and projects were covered, which was really helpful. Interview questions were discussed along the course and so we knew where to concentrate on. Instructor was very flexible and open to our questions and suggestions.

Diji Sreekumar
CO-FOUNDER, MOONRAFT INNOVATION LABS

Richard Roy

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I really liked the overall course layout that covered both mathematical algorithms as well as the machine learning techniques using Python and Pandas. The Machine Learning algorithms and the several data set problems worked through the course were very helpful, especially the ones we covered towards the 3rd week. I think there is great value add for anyone who wants to learn about Data Science and machine learning tools. I would highly recommend this course to my friends.

Arvind Sharma

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I attended the Data science and Machine Learning course and I must say it was a great learning experience and worth time spent. Style of delivery of instructions, syllabus, instructor’s knowledge of the subject and class size are to name a few key things that worked really well for me. The instructor is very knowledgeable and has very solid statistics background along with practical industry exposure, which really helps a lot in understanding concepts well. I would recommend this course to anyone who wants to move into the field of data science or someone who just want another feather in his skill set.

Arvind Sharma
ENTERPRISE DATA WAREHOUSE CONSULTANT, EXPEDIA