Wiley Certified Data Analytics Specialist

Wiley Certified Data Analytics Specialist

Introduction

Wiley Certified Data Analytics Specialist program (WCDA) is designed to make learners thoroughly conversant with basic and advanced analytic techniques for mining, manipulating, and analyzing Data. It provides learners with a strong foundation in descriptive statistics and several machine-learning techniques. Learners use R for performing various statistical and ML analyses on data and also get familiarized with key Data platforms, as well as business and industry requirements to be able to participate productively in data analytics projects.

Learners have access to several labs, datasets, capstone projects, and an entire suite course with videos, assessments, and several other assets, as well as certification and digital badge, after passing a certification examination.

Organization

IEG Campus

Select to design your own content and request for a customized quotation

No	Topic	Topic Description
1	INTRODUCTION TO MACHINE LEARNING INTRODUCTION TO BIG DATA	Describe Artificial Intelligence and its components Give an overview of Big Data Discuss the broad business application of Big Data Explain the technology infrastructure that is required to store, handle, and manage Big Data Describe how the popular frameworks of Hadoop 2, MapReduce 2 and Yarn support Big Data management
2	INTRODUCTION TO ANALYTICS AND R	Define analytics Describe the various analytical approaches and tools Get an overview of the tool–R.
3	DATA ANALYSIS USING R	Use R scripts and functions Use R function environment and methods Perform the steps to summarize data samples Use cumulative statistics and summary tables Create lists, matrices, and data frames in R Use loops and conditional execution in R Install RHadoop and create user-defined functions Implement graphical analysis in R Perform hypothesis tests in R
4	BIG DATA ANALYTICS METHODS	Apply a solution engineering process that can be used for Big Data implementation Explain the necessity to preprocess data Perform various data cleaning, preprocessing and transformation techniques Analyze the role of Social Media in business contexts Conduct Social Media Analysis Perform basic Mobile Analytics Discuss data visualization and its importance Use Tableau for Data Visualization