WileyCourses

Wiley Certified Data Engineer

 Course Overview: 

This program will equip the learner with the relevant skills to handle and manipulate big data and variety of data competently.

Pedagogy: 

This course adopts a blended design. The self- paced content includes videos, lab, quizzes, reading material and additional references. This is followed by an intensive ILT session. The course pedagogy has a 30-70 split of theory and hands-on experience of using the tools. Demonstration of tools, case studies, virtual lab, additional reading materials, mock test and interviewing tips and the final project ensures that learner is job ready.

Curriculum Outline: 

The self -paced course is split into 7 modules and each module includes 5 session
 

The Content  Delivery:

  •         5 Day ILT
  •        30+ Hours Online Study
  •           22 Hours Lab Work
  •         10-15 Hours Project Work

 

Who Should take the course :

Wiley Certified Data Engineer course and certification is meant for professionals who wish to make their career as Core Data Professional focused on Data Architecture and  Data Management. The job role requires a thorough understanding of the Technologies and Infrastructure involved in managing and optimizing the data infrastructure for the organization. A Data Engineer is the back bone of the data and analytics ecosystem of the organization and works very closely with Data Architect and Data Analyst to build and optimize the system that meets the data requirements and business goals for the organization.

Prerequisites to take the course :

 The course requires basic understanding of Statistics and some background in coding. The course will involve a lot of number analysis and data crunching so its important to have the aptitude for data and numbers.

  • Strong foundation in Core Java
  •  Familiarity with scripting language, familiarity with PERL or RUBY an added advantag
  •   Basics of Linux/Unix operating systems
  • Understanding of basic SQL statements
 
 

Job prospects after taking Data Engineer Course and Certification:

 Data Engineers are one of the most sought Professionals in the new Data Economy. As per Forbes report of  2017, there will be requirement of over 700,000 Data Engineering and Data professionals by 2020. The companies globally are paying anything between $85,000 to $100,000 to Data Engineers an Data Professionals.
 

The Typical job role of the Data Engineer involves

  • Ideation and  implementation of Efficient, Optimal and Business aligned data system for the organization.
  • Doing research and  working with Data Architecture team to implement platforms and data solutions for the organization.
  • Designing and implementing  high-performance algorithms, prototypes, predictive models and ecosystems for optimal and multifaceted application and utilization of data in organization.
  • Developing data set processes for data modeling, mining and production
  • Integrating new data management technologies and software engineering tools into existing structures
  • Creating custom software components and applications for various stake holders in the organization.
  • Recommending ways to improve data reliability, efficiency and quality
  • Collaborating with data architects, modelers and IT team members on project goals

 

Wiley Certified Analytics Professional

 Course Overview: 

This program will equip the learner with skills for mining, manipulating, and analyzing large datasets derive business insights. The course will also provide necessary foundations to business and industry contexts to enable the learner to contribute meaningfully in data analytics projects.

Pedagogy: 

This course adopts a blended design. The self- paced content includes videos, lab, quizzes, reading material and additional references. In this course the learner will get hands-on experience to perform multiple labs and work on a complete project which can add value to the portfolio of analytics skills.

Curriculum Outline: 

The self -paced course is split into 7 modules and each module includes 4-5 session

The Content and Delivery Breakup:

  • 5 Day ILT
  •  40+ Hours Online Study
  •  38 Hours Lab Work
  •   10-15 Hours Project Work

Who Should take the course :

Wiley Certified Analytics Professional course and certification is meant for professionals who wish to make a career as Full Stack Analytics Professional. Data Analytics Professional is a more strategic role in the organization and the person is responsible for forming the process for obtaining and analysis of right set of data for the Business owners and leaders to decide the business goals. An analytics professional is not just a technically and analytically sound, but has the business acumen to map data and business goals to drive the business decisions.

Prerequisites to take the course :

 The course requires basic understanding of Statistics and some background in coding. The most important thing required to take the course is the aptitude to play with numbers and Data.

  •  Strong foundation in Statistics or Math
  •  Basic knowledge of databases, tables and fields
  •   Fundamentals of spreadsheets and computations
  •   Basic knowhow of programming in Core Java 

Job prospects after taking Analytics Professional Course and Certification:

 Analytics Professionals are and will one of the highly sought after Professionals globally. The emergence of Digital Economy and every organizations bid to be digital and data driven has made the Analytics Professionals the most revered professionals across the globe and across the organizations. As per PwC report  there  is requirement of  roughly  812,000 Analytics Professionals globally and this number is set to grow to atleast 2.7 M by 2020. The average pay for the position is $91,467.
 

The Typical job role of the Data Engineer involves

  • Understanding Business Goals and Business Requirement 
  • Organizing and Analyzing right data for the business.
  • Supporting and working with Business Leaders to build data backed strategy for Business.
  • Doing research and  working with Data Engineer and Data Architecture team to ideate and implement platforms and data solutions for the organization.
  • Supporting the Data Architecture and Engineering team to build right infrastructure and right system for data retrieval and analysis.
  • Developing data set processes for data modeling, mining and production
  • Recommending ways to improve data reliability, efficiency and quality
  • Collaborating with business leaders and task owners and business core team members on project goals and implementing system for tracking and analysis of the task progress.
 

Wiley Certified Data Scientist

 Course Overview: 

This program will equip the learner with skills for managing and building big data architecture and prepare them with techniques and tools for mining, manipulating, and analyzing Big Data and derive business insights. The course will also provide foundations to business and industry requirements to enable the learner to take data driven.

Pedagogy: 

This course adopts a blended design. The self- paced content includes videos, lab, quizzes, reading material and additional references. In this course the learner will get hands-on experience to perform multiple labs and work on a complete project

Curriculum Outline: 

The self -paced course is split into 10 modules and each module includes ~ 4-5 sessions

The Content and Delivery Breakup:

  • 6 Day ILT
  • 50+ Hours Online Study
  •   45 Hours Lab Work
  • 10-15 Hours Project Work

Who Should take the course :

Wiley Certified Data Scientist is one of most sought after and the Gold Standard  course and certification for professionals who wish to make a career as Data Scientist.  A Data Scientist is the most important component of the Organizations Data and Analytics framework.   A data scientist’s skill set is a convergence of Analytics, Computing, Prediction, Modeling and Statistics. Professionals or learners who are interested in making career as Full Stack Data Professional should take the course. Since the course requires a heavy application of Statistics and Computing, it is important to have a background in Computing and Data Analytics. 

Prerequisites to take the course :

 The course requires strong understanding of Statistics and intermediate background in coding. A background in Algorithm and Data Modeling is a plus.

  • Strong foundation in Statistics or Math
  • Basic knowledge of databases, tables and fields, spreadsheets and computations
  • Knowledge of programming in Core Java
  • Understanding of basic SQL statements

Job prospects after taking Data Scientist Course and Certification:

 Most of Job listing and Employment Services companies, besides Global Consultancy leaders, quote Data Scientist as the ” The New Age Heroes”. The Data Scientist are indeed the new age heroes and one of the highly sought after specialization. Because the job requires a unique mix of skill sets, there is very limited pool of such professionals and hence the high demand for them. This is a reason that a Data Scientist get any where between $100,000 to $168,000 based on the experience and expertise. As the role is very crucial for the organizations looking forward to grow in the Digital Economy, the work expectations and skills required of Data Scientist are very rigorous.

 

The Typical job role of the Data Engineer involves

  • Making business important and usable value out of the available data.
  •  Build algorithms and implement systems for optimal system utilization using Machine Learning techniques.
  •  Processing, Cleaning and analyzing the integrity, quality and relevance of data for business goal analysis.
  •  Work with the Data Architecture and Data Analytics Professionals to build automated system for anomaly detection in system data.
  • Collaborating with business leaders and task owners and business core team members to build models for data analytics system implementation.
  •  Build Models and Systems for collation and processing of structure and unstructured data.
  • Build Predictive models for various departments to enable optimal utilization of resource for organization