The Application of Data Analysis Essentials Certificate (14.0 CPE
Credits) offers hands-on experience regarding how to analyze data
and calculate fundamental aspects of your data sets. This
certificate program provides the core concepts and definitions of
data analytics, which explain the anatomy of data as a medium, and
provides fundamental statistical analysis techniques for beginning
to glean useful information from data. This certificate is Part 2
of the Data Analyst Certificates Bundle - a comprehensive five-part
program that provides training and practical guidance on the topic
of data analytics. First, you will learn the different types of
variables that make up a data set and perform meaningful
calculations on data to discover and explore relationships that
yield insights: central tendency, variability, probability, and
distribution. Then we will delve into recognizing these qualities
in their different forms and how to utilize them in practical
business situations. This program offers straightforward exercises
to help you practice and immediately apply what you've learned. You
will also get exposure to and practice with useful concepts such as
quartiles, variance, and standard deviation. Finally, you will be
introduced to one of the most powerful tools available for
analyzing data: the open-source "R" platform. You will be guided
through an actual use case for analyzing data using R and complete
your learning by seeing how the statistical concepts you've just
learned can be applied in a real-world example. By completing this
certificate, you will have a solid grasp of core statistical
techniques underpinning an analytics practice and hands-on-practice
using them. Note: It is recommended that you complete the Data
Analysis Fundamentals Certificate, or ensure you have equivalent
knowledge and skills, before starting this certificate course.
Learning Labs* This is an interactive learning program that
includes bonus hands-on learning labs that will expose you to the
tools needed to implement an analytics practice in a practical way
and equip you to deploy those tools as needed within your
organization. You will practice using various technologies for
preparing, analyzing and managing datasets in the real world. *Time
spent on learning labs does not award CPE and completing learning
labs is not a requirement for earning the certificate. WHO WILL
BENEFIT Accounting and finance professionals, especially those
interested in learning and applying data analysis techniques to
help their organizations make informed, data-driven business
decisions. KEY TOPICS The nature and types of different variables
in data sets and how to use them Fundamental statistical concepts
for working with data Characteristics of data that can be used for
conducting analysis Basic calculations for analyzing and
discovering useful insights from data sets How to understand and
calculate probability from a data set Different types of
distribution and how they can be used Guided exposure to the
open-source R platform and its analytics capabilities A practical
case study exploring how statistical analysis can be used in a
common fraud-detection scenario Examples and practice exercises
throughout the program to reinforce what you learn LEARNING
OBJECTIVES Determine and classify variables. Calculate meaningful
statistics, including central tendency, measurement and
variability, basic probability, conditional probability, advanced
probabilities, discrete distributions, and continuous
distributions. Analyze statistics and distributions in R case
study. Analyze fraud-detection case study. Digital Badge: Your
Professional Distinction Set yourself apart as a future-ready
financial professional. Upon completion, you will be awarded with a
certificate in the form of a digital badge. Digital badges allow
you to distinguish yourself in the marketplace and show your
commitment to quality. The badge can be posted to your social media
profiles and linked to your resume or email signature, providing
maximum visibility to your achievement. Credit Info CPE CREDITS:
Online: 14.0 (CPE credit info) NASBA FIELD OF STUDY: Statistics
LEVEL: Intermediate PREREQUISITES: Recommended: Complete the Data
Analysis Fundamentals Certificate or ensure you have equivalent
knowledge and skills. ADVANCE PREPARATION: None DELIVERY METHOD:
QAS Self-Study COURSE ACRONYM: DALP-S2 Online Access Instructions A
personal pin code is enclosed in the physical packaging that may be
activated online upon receipt. Once activated, you will gain
immediate online access to the product for one full year. System
Requirements AICPA's online CPE courses will operate in a variety
of configurations, but only the configuration described below is
supported by AICPA technicians. A stable and continuous internet
connection is required. In order to record your completion of the
online learning courses, please ensure you are connected to the
internet at all times while taking the course. It is your
responsibility to validate that CPE certificate(s) are available
within your account after successfully completing the course and/or
exam. Supported Operating Systems: Macintosh OS X 10.10 to present
Windows 7 to present Supported Browsers: Apple Safari Google Chrome
Microsoft Internet Explorer Mozilla Firefox Required Browser
Plug-ins: Adobe Flash Adobe Acrobat Reader Technical Support:
Please contact
[email protected].
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