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Course Description

PYT400 - Applied Data Science with Python Training

12 Hours | 1.2 CEUs | 

  • This intensive training course provides theoretical and practical aspects of using Python in the realm of Data Science, Business Analytics, and Data Logistics.  The coverage of the related core concepts, terminology, and theory is provided as well.  This training course is supplemented by a variety of hands-on labs that help attendees reinforce their theoretical knowledge of the learned material.

PYT550 - Using Data Science Tools in Python

12 Hours | 1.2 CEUs | $1,320

  • More and more organizations are turning to data science to help guide business decisions. Regardless of industry, the ability to extract knowledge from data is crucial for a modern business to stay competitive. One of the tools at the forefront of data science is the Python® programming language. Python's robust libraries have given data scientists the ability to load, analyze, shape, clean, and visualize data in easy to use, yet powerful, ways. This course will teach you the skills you need to successfully use these key libraries to extract useful insights from data, and as a result, provide great value to the business.

PYT600 - Big Data Analysis with Python

12 Hours | 1.2 CEUs | $1,320

  • Processing big data in real time is challenging due to scalability, information inconsistency, and fault tolerance. Big Data Analysis with Python teaches you how to use tools that can control this data avalanche for you. With this course, you'll learn effective techniques to aggregate data into useful dimensions for posterior analysis, extract statistical measurements, and transform datasets into features for other systems.
  • The course begins with an introduction to data manipulation in Python using Pandas. You'll then get familiar with statistical analysis and plotting techniques. With multiple hands-on activities in store, you'll be able to analyze data that is distributed on several computers by using Dask. As you progress, you'll study how to aggregate data for plots when the entire data cannot be accommodated into memory. You'll also explore Hadoop (HDFS and YARN), which will help you tackle larger datasets. The course further covers Spark and its interaction with other tools.
  • Classes are delivered in Central Time Zone and class times are notated on each course link.
  • Corporate discounts are applied in the cart/checkout.

Prerequisites

To ensure success in this certificate, students should have completed:

PYT.PRO - Python Programming Certificate

Duration

36 Hours | 3.6 CEUs | 6 Days or 12 Nights
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Thank you for your interest in this course. Unfortunately, the course you have selected is currently not open for enrollment. Please complete a Course Inquiry or call 314-977-3226 so that we may promptly notify you when enrollment opens.

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*Academic Unit eligibility to be determined by college/university in which you are enrolled in a degree seeking program.