Udacity: Data Streaming

Learn how to process data in real-time by building fluency in modern data engineering tools, such as Apache Spark, Kafka, Spark Streaming, and Kafka Streaming. You’ll start by understanding the components of data streaming systems. You’ll then build a real-time analytics application. Students will also compile data and run analytics, as well as draw insights from reports generated by the streaming console.

SKU: UdacityDataStreaming Categories: , Tags: ,

Additional information

Course Page

https://www.udacity.com/course/data-streaming-nanodegree–nd029

Program Length

2 Months At 5-10 hours/week

Instructors

Ben Goldberg, Judit Lantos, David Drummond, Sean Murdock

Cohort-Based Course?

yes

Course Features

-Real-world projects from industry experts With real world projects and immersive content built in partnership with top tier companies, you’ll master the tech skills companies want. -Technical mentor support Our knowledgeable mentors guide your learning and are focused on answering your questions, motivating you and keeping you on track. -Career services You’ll have access to Github portfolio review and LinkedIn profile optimization to help you advance your career and land a high-paying role. -Flexible learning program Tailor a learning plan that fits your busy life. Learn at your own pace and reach your personal goals on the schedule that works best for you.

Program Format

Recorded

Prerequisites

The Data Streaming Nanodegree program is designed for students with intermediate Python and SQL skills, as well as experience with ETL. Basic familiarity with traditional batch processing and basic conceptual familiarity with traditional service architectures is desired, but not required. Intermediate Python programming knowledge, of the sort gained through the Programming for Data Science Nanodegree program, other introductory programming courses or programs, or additional real-world software development experience. Including: Strings, numbers, and variables; statements, operators, and expressions; Lists, tuples, and dictionaries; Conditions, loops; Procedures, objects, modules, and libraries; Troubleshooting and debugging; Research & documentation; Problem solving; Algorithms and data structures Intermediate SQL knowledge and linear algebra mastery, addressed in the Programming for Data Science Nanodegree program, including: Joins, Aggregations, and Subqueries Table definition and manipulation (Create, Update, Insert, Alter)

Pricing

$399 per month

Financing Options

1. Learn now, pay later with affirm 2. Buy with payments as low as $113 per month at 0% APR 3. Pay monthly using bank, check or debit card.

Refund Policy

You can cancel and unenroll within the first 2 days from your first month’s subscription purchase date in order to be eligible for a full refund. Unless you have graduated from the Nanodegree program, single paid course, or Executive Program within this timeframe. Only one refund may be granted per student per Nanodegree program, single paid course, or Executive Program. If you cancel your subscription and subsequently re-enroll for the same program or course, you will not be entitled to an additional 2-day refund period. You may cancel your subscription at any time after this 2-day refund period and you will not be charged again after the billing period in which you cancelled. You will remain actively enrolled in the program until the end of this billing period.

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