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126 Data Processing courses

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AWS Certified Data Analytics Specialty (2023) Hands-on

By Packt

This course covers the important topics needed to pass the AWS Certified Data Analytics-Specialty exam (AWS DAS-C01). You will learn about Kinesis, EMR, DynamoDB, and Redshift, and get ready for the exam by working through quizzes, exercises, and practice exams, along with exploring essential tips and techniques.

AWS Certified Data Analytics Specialty (2023) Hands-on
Delivered Online On Demand
£68.99

Real-Time Stream Processing Using Apache Spark 3 for Python Developers

By Packt

Get to grips with real-time stream processing using PySpark as well as Spark structured streaming and apply that knowledge to build stream processing solutions. This course is example-driven and follows a working session-like approach.

Real-Time Stream Processing Using Apache Spark 3 for Python Developers
Delivered Online On Demand
£93.99

Building an Interpreter from Scratch

By Packt

In this course, we'll learn about runtime semantics and build an interpreter for a programming language from scratch. In the process, we'll build and understand a full programming language semantics.

Building an Interpreter from Scratch
Delivered Online On Demand
£28.99

Apache NiFi - A Complete Guide (Hortonworks DataFlow - HDF)

By Packt

Apache NiFi, a robust, open-source data ingestion/distribution framework, is the core of Hortonworks DataFlow (HDF)

Apache NiFi - A Complete Guide (Hortonworks DataFlow - HDF)
Delivered Online On Demand
£13.99

KM204 IBM InfoSphere DataStage Essentials (v11.5)

By Nexus Human

Duration 4 Days 24 CPD hours This course is intended for Project administrators and ETL developers responsible for data extraction and transformation using DataStage. Overview Describe the uses of DataStage and the DataStage workflowDescribe the Information Server architecture and how DataStage fits within itDescribe the Information Server and DataStage deployment optionsUse the Information Server Web Console and the DataStage Administrator client to create DataStage users and to configure the DataStage environmentImport and export DataStage objects to a fileImport table definitions for sequential files and relational tablesDesign, compile, run, and monitor DataStage parallel jobsDesign jobs that read and write to sequential filesDescribe the DataStage parallel processing architectureDesign jobs that combine data using joins and lookupsDesign jobs that sort and aggregate dataImplement complex business logic using the DataStage Transformer stageDebug DataStage jobs using the DataStage PX Debugger This course enables the project administrators & developers to acquire the skills necessary to develop parallel jobs in DataStage. Students will learn to create parallel jobs that access sequential & relational data, and combine and transform the data. COURSE OUTLINE * Introduction to DataStage * Deployment * DataStage Administration * Work with Metadata * Create Parallel Jobs * Access Sequential Data * Partitioning and Collecting Algorithms * Combine Data * Group Processing Stages * Transformer Stage * Repository Functions * Work with Relational Data * Control Jobs

KM204 IBM InfoSphere DataStage Essentials (v11.5)
Delivered on-request, onlineDelivered Online
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Data Wrangling with Python

By Nexus Human

Duration 3 Days 18 CPD hours This course is intended for Data Wrangling with Python takes a practical approach to equip beginners with the most essential data analysis tools in the shortest possible time. It contains multiple activities that use real-life business scenarios for you to practice and apply your new skills in a highly relevant context. Overview By the end of this course, you will be confident in using a diverse array of sources to extract, clean, transform, and format your data efficiently. In this course you will start with the absolute basics of Python, focusing mainly on data structures. Then you will delve into the fundamental tools of data wrangling like NumPy and Pandas libraries. You'll explore useful insights into why you should stay away from traditional ways of data cleaning, as done in other languages, and take advantage of the specialized pre-built routines in Python.This combination of Python tips and tricks will also demonstrate how to use the same Python backend and extract/transform data from an array of sources including the Internet, large database vaults, and Excel financial tables. To help you prepare for more challenging scenarios, you'll cover how to handle missing or wrong data, and reformat it based on the requirements from the downstream analytics tool. The course will further help you grasp concepts through real-world examples and datasets. INTRODUCTION TO DATA STRUCTURE USING PYTHON * Python for Data Wrangling * Lists, Sets, Strings, Tuples, and Dictionaries ADVANCED OPERATIONS ON BUILT-IN DATA STRUCTURE * Advanced Data Structures * Basic File Operations in Python INTRODUCTION TO NUMPY, PANDAS, AND MATPLOTLIB * NumPy Arrays * Pandas DataFrames * Statistics and Visualization with NumPy and Pandas * Using NumPy and Pandas to Calculate Basic Descriptive Statistics on the DataFrame DEEP DIVE INTO DATA WRANGLING WITH PYTHON * Subsetting, Filtering, and Grouping * Detecting Outliers and Handling Missing Values * Concatenating, Merging, and Joining * Useful Methods of Pandas GET COMFORTABLE WITH A DIFFERENT KIND OF DATA SOURCES * Reading Data from Different Text-Based (and Non-Text-Based) Sources * Introduction to BeautifulSoup4 and Web Page Parsing LEARNING THE HIDDEN SECRETS OF DATA WRANGLING * Advanced List Comprehension and the zip Function * Data Formatting ADVANCED WEB SCRAPING AND DATA GATHERING * Basics of Web Scraping and BeautifulSoup libraries * Reading Data from XML RDBMS AND SQL * Refresher of RDBMS and SQL * Using an RDBMS (MySQL/PostgreSQL/SQLite) APPLICATION IN REAL LIFE AND CONCLUSION OF COURSE * Applying Your Knowledge to a Real-life Data Wrangling Task * An Extension to Data Wrangling

Data Wrangling with Python
Delivered on-request, onlineDelivered Online
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Educators matching "Data Processing"

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Seinan Gakuin University

seinan gakuin university

In 2016 Seinan Gakuin celebrated its 100th Anniversary with a renewed commitment to endeavor to be true to Christ in the pursuit of truth in academic affairs and excellence in character development, striving to equip and nurture students who will be able to serve as creative and constructive leaders in local communities and in global society. As you prepare for, or continue, your university education, the whole world lies before you. Since we live in a world that is rapidly becoming a community without borders, the opportunities which lie before us are almost limitless. The world community continues to become more and more interconnected socially, economically, and politically. Decisions or events in one country rapidly ripple across the globe, making an impact on every nation. At the same time, differences between people, cultures, and countries are being magnified. Rather than allowing differences to become walls of separation, there is a need for building bridges of understanding and cooperation. Seinan Gakuin University provides the opportunity for young people to respond to the challenges of our world. Our highly trained faculty is committed to providing a high level of education and to helping our students understand the world and prepare them to find a place in the world. The faculty is also committed to a high level of academic research and scholarship. Having published in a wide range of academic journals, professors implement their research in both teaching and contributing to the local and international community. Our International Division is one of the oldest exchange programs in Japan. Reaching around the globe, we have exchange programs with universities in the U.S., Canada, Great Britain, France, Norway, Finland, the Netherlands, Italy, Denmark, the Czech Republic, Hungary, Germany, Iceland, Poland, Belgium, Spain, Romania, Russia, Australia, China, Hong Kong, Korea, Taiwan, Malaysia, the Philippines, Thailand, Turkey, South Africa, Chile, Peru —and the list continues to grow. The curriculum of the program includes classes in Japanese language, culture, and society. Participants from around the world not only learn about Japan together but also have opportunities to learn about different ways of life and different cultures from each other, inside and outside the classroom. The greatest investment any nation or individual can make for the future is an investment in education. The future is yours. We are committed as a university to investing in your education and in your future. Won’t you consider investing in your future as a student at Seinan Gakuin University? There is a place for you here.

Yoga with Tanja

yoga with tanja

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