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Data Analysis

Data analysis is a rapidly growing area, and employers from every industry seek candidates with this skill. Companies are looking to make calculated, data-driven business decisions, and need analysts to help collect, interpret, and report their data. Take advantage of this growing need, and add data analysis to your resumé, by enrolling in a Data Analysis program.

 

Data Science and Analysis - Upcoming Classes

Class Name

Data literacy is a crucial but rare skill to have for any modern‐day business. Our bootcamp curriculum teaches working professionals how to extract actionable insights from data enabling you to solve real‐world problems in the shortest duration possible. A series of live in‐person instructor‐led tutorials will teach you the fundamentals of data science and equip you with skills in R programming and Azure machine learning tools for data science. Our carefully crafted curriculum provides the right mix of theoretical concepts, hands‐on practical exercises, and business interpretation of results. Who should attend? Working professionals who want to add data science to their current positions, or who want to learn more about this new field. Program Requirements You should have an interest in data science and data engineering as well as knowledge of at least one programming language. However, many of our attendees come to us with little to no programming experience. Our pre‐bootcamp materials will get you where you need to be to hit the ground running. What you will learn Introduction to Big Data, Data Science and Predictive Analytics Data Exploration, Visualization, and Feature Engineering Introduction to Predictive Modeling, Classification and Decision Trees Evaluation of Classification Models Deploying a model in Azure machine learning Participation in a Kaggle competition Hands‐on instructor‐led practical exercises Building and Understanding Visualizations in R Building a Classifier Determining the best split for Classification Models Parameter tuning and Cross‐Validation https://static.datasciencedojo.com/wp‐content/uploads/course‐outline‐3day‐albuquerque.pdf'' target=''_blank

Section Spring 1

61220
$2,900
03/09/2020 - 03/11/2020
Mon, Tue, Wed 9:00 AM ‐ 6:00 PM
Continuing Education Staff
CE North Building

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Why should you attend this 2‐day course? According to Gartner, there will be 20 billion connected devices on the planet by 2020. These connected devices sometimes referred to as Internet of Things (IoTs) range from personal gadgets like mobile phones and wearables to home appliances and automobiles. As industries rely more and more on automation, we will see industrial equipment rely more and more on sensor data. This introductory course will give attendees an introduction to the exciting field of Internet of Things. We will start with a gentle introduction, understand the architecture of an IoT application and build working prototypes for different industries. We will also discuss the pertinent legal, ethical, security and data governance issues. What you will learn? Introduction to IoT How is the current landscape of IoTs and what lies in the near future? Understand the architecture of an IoT application. Sensors, hardware, communication, networking, security, data formats, protocols, and data processing How data flows in data pipeline – Ingestors, Stream Processors, AWS, Azure, etc.? What are the possible security, privacy, encryption issues with the IoTs? Innovation in artificial intelligence, sensors, and IoT chips Ethical, legal and governance issues in IoTs Hands‐on real‐world practical application: Real‐time analysis of a simulated credit card data stream Real‐time sentiment analysis for Twitter stream Real‐time analytics on motion‐sensing data emitted by a smartphone Attendees pick an IoT application from the following tracks: Agriculture: Real‐time monitoring of humidity, temperature, and light from the soil Transportation: Real‐time tracking of an automobile location Industrial automation: Real‐time monitoring of machine health Surveillance: Real‐time activity monitoring Who should attend? This 2‐day course is open for all working professionals who want to get hands‐on, real‐world, practical learning on IoTs. Program Requirements You should have an interest in data science and data engineering. Having programming experience is not a pre‐requisite for enrollment in this course.

Section Spring 1

61222
$2,500
04/20/2020 - 04/21/2020
Mon, Tue 9:00 AM ‐ 5:00 PM
Continuing Education Staff
CE North Building

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Tuition Assistance

Tuition Assistance may be available if you are unemployed, a veteran or veteran’s spouse, or a person with a disability. Other options include education loans. For more funding options, and contact information, please visit our Loans and Financial Aid page. UNM Staff, Faculty and Retirees: You may use your Tuition Remission for all Professional Development classes. Learn more about UNM Tuition Remission.