Data processing clerk education requirements

1. Big Data Integration and Processing

At the end of the course, you will be able to: *Retrieve data from example database and big data management systems *Describe the connections between data management operations and the big data processing patterns needed to utilize them in large-scale analytical applications *Identify when a big data problem needs data integration *Execute simple big data integration and processing on Hadoop and Spark platforms This course is for those new to data science. Completion of Intro to Big Data is...

2. Processing Data with Python

Processing data is used in virtually every field these days. It is used for analyzing web traffic to determine personal preferences, gathering scientific data for biological analysis, analyzing weather patterns, business practices, and on. Data can take on many different forms and come from many different sources. Python is an open-source (free) programming language that is used in web programming, data science, artificial intelligence, and many scientific applications. It has libraries that...

3. Data Science:Data Mining & Natural Language Processing in R

4.7

(387)

Harness the Power of Machine Learning in R for Data/Text Mining, & Natural Language Processing with Practical Examples...

4. Data Warehouse Development Process

4.3

(790)

Specific aspects of Data Warehouse Development Process...

5. Data-Driven Process Improvement

By the end of this course, learners are empowered to implement data-driven process improvement objectives at their organization. The course covers: the business case for IoT (Internet of Things), the strategic importance of aligning operations and performance goals, best practices for collecting data, and facilitating a process mapping activity to visualize and analyze a process’s flow of materials and information. Learners are prepared to focus efforts around business needs, evaluate what the...

6. Serverless Data Processing with Dataflow

It is becoming harder and harder to maintain a technology stack that can keep up with the growing demands of a data-driven business. Every Big Data practitioner is familiar with the three V’s of Big Data: volume, velocity, and variety. What if there was a scale-proof technology that was designed to meet these demands?\n\nEnter Google Cloud Dataflow. Google Cloud Dataflow simplifies data processing by unifying batch & stream processing and providing a serverless experience that allows users to...

7. Statistics / Data Analysis: Survey Data and Likert Scales

4.6

(505)

How to Process Survey Data and Analyze Likert Scales In SPSS...

8. Data Entry Skills: A Complete Data Entry Course from Scratch

4.7

(533)

A Complete Guide to Data Entry Skills: Learn Data Entry Skills and become a Data Entry Pro & Get a Online Data Entry Job...

9. Process Mining with Celonis

4.4

(1,084)

Learn and practice how to combine data science and process mapping techniques to visualize processes with real data...

10. R Data Pre-Processing & Data Management - Shape your Data!

4.9

(651)

Learn how to prepare your data for great analytics in R...

11. Text Mining and Natural Language Processing in R

4.7

(801)

Hands-on text mining and natural language processing (NLP) training for data science applications in R...

12. Complete Data Entry Skills Course - Learn Data Entry Skills

4.4

(399)

Learn Essential Data Entry Skills Now To Enhance Your Career -Word - Excel - Database - Data Entry Jobs...

13. Data Science: Natural Language Processing (NLP) in Python

4.7

(11,992)

Applications: decrypting ciphers, spam detection, sentiment analysis, article spinners, and latent semantic analysis...

14. Introduction to Natural Language Processing (NLP)

4.2

(3,598)

Learn how to analyze text data...

15. Fundamentals of Data Analysis for Big Data

4.5

(270)

This course prepares participants to begin running data analysis on databases...

16. Health Data 101

4.4

(1,787)

An Introduction to Health Data for data analysts...

17. Complete Data Wrangling & Data Visualisation With Python

4.4

(853)

Learn to Preprocess, Wrangle and Visualise Data For Practical Data Science Applications in Python...

18. Data Engineering - ETL, Web Scraping ,Big Data,SQL,Power BI

4.2

(300)

Hands on Data Interaction using - ETL, Web Scraping ,Big Data,SQL,Power BI...

19. Data Science for Healthcare Claims Data

4.4

(489)

Learn and practice how to transform raw healthcare claims data into valuable knowledge and actionable insights!...