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Learn how NuWave utilized Pluralsight channels to bundle courses into a curriculum and provide not just training but also certifications in technologies such as Data Science, Big Data, Machine Learning and ETL.
Read more
Learn how NuWave utilized Pluralsight channels to bundle courses into a curriculum and provide not just training but also certifications in technologies such as Data Science, Big Data, Machine Learning and ETL.
Read more
Learn how NuWave utilized Pluralsight channels to bundle courses into a curriculum and provide not just training but also certifications in technologies such as Data Science, Big Data, Machine Learning and ETL.
Learn how NuWave utilized Pluralsight channels to bundle courses into a curriculum and provide not just training but also certifications in technologies such as Data Science, Big Data, Machine Learning and ETL. These certifications feature Pluralsight content curated by NuWave experts, Skill IQs to determine strengths and weaknesses and hands-on projects that prove competency.
NuWave Solutions provides services in the rapidly changing Big Data, Analytics and Cloud markets. Upskilling our workforce is a must and traditional methods of training such as in person vendor training, legacy online courses and college courses were not adequate. NuWave needed training that was up to date, curated, cost effective and flexible. We looked at the new breed of training platforms including Udemy, Coursera, Lynda and Pluralsight. In the end, NuWave teamed with Pluralsight to create our own online University.
Register for this course and see more details by visiting:
OpenCourser.com/course/vwfjdh/training
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What's inside
Syllabus
Training Employees for the NuWave of Technology to Retain Employees in 2020
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches how to bundle courses together to create a curriculum
Teaches how to bundle cohorts of learners together to create a class
Provides certifications in technologies like Data Science, Big Data, Machine Learning, and ETL
Uses Skill IQs to determine learners' strengths and weaknesses in areas like Data Science, Big Data, Machine Learning, and ETL
Has hands-on projects that prove competency in areas like Data Science, Big Data, Machine Learning, and ETL
Save this course
Save Training Employees for the NuWave of Technology to Retain Employees in 2020 to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Training Employees for the NuWave of Technology to Retain Employees in 2020 with these
activities:
Introduction to Data Science
Show steps
Reading books provides a comprehensive understanding of data science concepts and best practices.
View
Digital Image Processing Using MATLAB
on Amazon
Show steps
-
Obtain a copy of the book
-
Read the book thoroughly
-
Take notes and highlight important concepts
Data Science Resource Compilation
Show steps
Organizing and reviewing resources enhances understanding and facilitates future reference.
Browse courses on
Data Science
Show steps
-
Gather online articles, tutorials, and videos on data science topics
-
Create a central repository or notebook to store the resources
-
Review and annotate the resources regularly
Review NuWave University Credentials
Show steps
Understand the courses provided by NuWave University to select the right ones to enhance career prospects.
Browse courses on
Data Science
Show steps
-
Visit the NuWave University website
-
Explore the course catalog
-
Review the course descriptions and prerequisites
Five other activities
Expand to see all activities and additional details
Show all eight activities
Data Science Practice Problems
Show steps
Regular practice helps improve data science skills and build confidence.
Browse courses on
Data Science
Show steps
-
Identify online resources or textbooks with practice problems
-
Solve practice problems regularly
-
Review solutions and learn from mistakes
Big Data Analytics with Spark
Show steps
Guided tutorials provide structured learning opportunities to gain proficiency in specific tools or technologies.
Browse courses on
Big Data
Show steps
-
Identify online courses or tutorials on Apache Spark
-
Follow the tutorials step-by-step
-
Practice exercises and build small projects
Data Science Mentorship
Show steps
Mentoring others reinforces knowledge and deepens understanding.
Browse courses on
Data Science
Show steps
-
Identify a mentee who is interested in learning data science
-
Establish regular meeting times and communication channels
-
Provide guidance, support, and resources to the mentee
Data Science Mini-Project
Show steps
Hands-on projects provide practical experience and demonstrate skills to potential employers.
Browse courses on
Data Science
Show steps
-
Identify a small-scale data science project
-
Collect and clean the data
-
Analyze the data using appropriate techniques
-
Present the results in a clear and concise manner
Machine Learning Model Deployment
Show steps
Deploying machine learning models enhances understanding of the model lifecycle and its practical applications.
Browse courses on
Machine Learning
Show steps
-
Develop a machine learning model
-
Select a deployment platform or cloud service
-
Deploy the model and monitor its performance
Introduction to Data Science
Show steps
Reading books provides a comprehensive understanding of data science concepts and best practices.
View
Digital Image Processing Using MATLAB
on Amazon
Show steps
Show steps
Show steps
- Obtain a copy of the book
- Read the book thoroughly
- Take notes and highlight important concepts
Data Science Resource Compilation
Show steps
Organizing and reviewing resources enhances understanding and facilitates future reference.
Browse courses on
Data Science
Show steps
Show steps
Show steps
- Gather online articles, tutorials, and videos on data science topics
- Create a central repository or notebook to store the resources
- Review and annotate the resources regularly
Review NuWave University Credentials
Show steps
Understand the courses provided by NuWave University to select the right ones to enhance career prospects.
Browse courses on
Data Science
Show steps
Show steps
Show steps
- Visit the NuWave University website
- Explore the course catalog
- Review the course descriptions and prerequisites
Five other activities
Expand to see all activities and additional details
Show all eight activities
Data Science Practice Problems
Show steps
Regular practice helps improve data science skills and build confidence.
Browse courses on
Data Science
Show steps
Show steps
Show steps
- Identify online resources or textbooks with practice problems
- Solve practice problems regularly
- Review solutions and learn from mistakes
Big Data Analytics with Spark
Show steps
Guided tutorials provide structured learning opportunities to gain proficiency in specific tools or technologies.
Browse courses on
Big Data
Show steps
Show steps
Show steps
- Identify online courses or tutorials on Apache Spark
- Follow the tutorials step-by-step
- Practice exercises and build small projects
Data Science Mentorship
Show steps
Mentoring others reinforces knowledge and deepens understanding.
Browse courses on
Data Science
Show steps
Show steps
Show steps
- Identify a mentee who is interested in learning data science
- Establish regular meeting times and communication channels
- Provide guidance, support, and resources to the mentee
Data Science Mini-Project
Show steps
Hands-on projects provide practical experience and demonstrate skills to potential employers.
Browse courses on
Data Science
Show steps
Show steps
Show steps
- Identify a small-scale data science project
- Collect and clean the data
- Analyze the data using appropriate techniques
- Present the results in a clear and concise manner
Machine Learning Model Deployment
Show steps
Deploying machine learning models enhances understanding of the model lifecycle and its practical applications.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Develop a machine learning model
- Select a deployment platform or cloud service
- Deploy the model and monitor its performance
Career center
Learners who complete Training Employees for the NuWave of Technology to Retain Employees in 2020 will develop knowledge and skills
that may be useful to these careers:
ETL Developer
ETL Developer
An ETL Developer is responsible for designing and building systems that extract, transform, and load data from one system to another. This course can help build a foundation in the technologies and concepts used by the ETL Developer on a regular basis. The certifications offered will also help verify skills, making it easier to apply to potential roles.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer develops and deploys machine learning models that can be used to automate tasks and make predictions. This course can help build a foundation in the technologies and concepts used by the Machine Learning Engineer on a regular basis. The certifications offered will also help verify skills, making it easier to apply to potential roles.
Big Data Engineer
Big Data Engineer
A Big Data Engineer designs, builds, and maintains systems that can handle large amounts of data. These systems are used by businesses to store, process, and analyze data to gain insights into their operations. This course can help build a foundation in the technologies and concepts used by the Big Data Engineer on a regular basis. The certifications offered will also help verify skills, making it easier to apply to potential roles.
Data Scientist
Data Scientist
A Data Scientist combines programming knowledge with mathematics and statistics to extract meaningful insights from data. This course can help build a foundation in the technologies and concepts used by the Data Scientist on a regular basis. The certifications offered will also help verify skills, making it easier to apply to potential roles.
Data Analyst
Data Analyst
A Data Analyst is responsible for collecting, cleaning, and analyzing data to identify trends and patterns. This information is then used to make informed decisions about business operations. This course can help build a foundation in the technologies and concepts used by the Data Analyst on a regular basis. The certifications offered will also help verify skills, making it easier to apply to potential roles.
Business Analyst
Business Analyst
A Business Analyst is responsible for understanding the needs of a business and designing solutions to meet those needs. This course can help build a foundation in the technologies and concepts used by the Business Analyst on a regular basis. The certifications offered will also help verify skills, making it easier to apply to potential roles.
Software Engineer
Software Engineer
A Software Engineer is responsible for designing, developing, and maintaining software systems. This course can help build a foundation in the technologies and concepts used by the Software Engineer on a regular basis. The certifications offered will also help verify skills, making it easier to apply to potential roles.
Computer Scientist
Computer Scientist
A Computer Scientist is responsible for researching and developing new computer technologies. This course can help build a foundation in the technologies and concepts used by the Computer Scientist on a regular basis. The certifications offered will also help verify skills, making it easier to apply to potential roles.
Database Administrator
Database Administrator
A Database Administrator is responsible for designing, building, and maintaining databases. This course can help build a foundation in the technologies and concepts used by the Database Administrator on a regular basis. The certifications offered will also help verify skills, making it easier to apply to potential roles.
Information Systems Manager
Information Systems Manager
An Information Systems Manager is responsible for planning, implementing, and managing information systems. This course can help build a foundation in the technologies and concepts used by the Information Systems Manager on a regular basis. The certifications offered will also help verify skills, making it easier to apply to potential roles.
IT Manager
IT Manager
An IT Manager is responsible for planning, implementing, and managing an organization's IT systems. This course may be useful for building a foundation in the technologies and concepts used by the IT Manager on a regular basis.
Security Analyst
Security Analyst
A Security Analyst is responsible for identifying and mitigating security risks. This course may be useful for building a foundation in the technologies and concepts used by the Security Analyst on a regular basis.
Network Administrator
Network Administrator
A Network Administrator is responsible for designing, building, and maintaining computer networks. This course may be useful for building a foundation in the technologies and concepts used by the Network Administrator on a regular basis.
Web Developer
Web Developer
A Web Developer is responsible for designing and developing websites. This course may be useful for building a foundation in the technologies and concepts used by the Web Developer on a regular basis.
Project Manager
Project Manager
A Project Manager is responsible for planning, executing, and closing projects. This course may be useful for building a foundation in the technologies and concepts used by the Project Manager on a regular basis.
For more career information including salaries, visit:
OpenCourser.com/course/vwfjdh/training
Reading list
We've selected six books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Training Employees for the NuWave of Technology to Retain Employees in 2020.
Provides a comprehensive overview of data science, including data mining and data-analytic thinking. It valuable resource for anyone who wants to learn more about this field.
Provides a practical guide to big data analytics. It covers all the essential topics, from data collection and storage to data analysis and visualization. It valuable resource for anyone who wants to learn more about this field.
Provides a practical introduction to machine learning with Python. It covers all the essential topics, from data collection and storage to data analysis and visualization. It valuable resource for anyone who wants to learn more about this field.
Save
Explores the implications of big data for our personal lives, our businesses, and our society. It must-read for anyone who wants to understand how big data is changing the world.
Provides a comprehensive overview of big data analytics with R. It covers all the essential topics, from data collection and storage to data analysis and visualization. It valuable resource for anyone who wants to learn more about this field.
Provides a gentle introduction to machine learning. It valuable resource for anyone who wants to learn more about this field.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/vwfjdh/training
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Time
20 hours
Level
Introductory
Via
Pluralsight
Instructor
Pluralsight LIVE
Language
English
Good to know
Teaches how to bundle courses together to create a curriculum
Teaches how to bundle cohorts of learners together to create a class
Provides certifications in technologies like Data Science, Big Data, Machine Learning, and ETL
Uses Skill IQs to determine learners' strengths and weaknesses in areas like Data Science, Big Data, Machine Learning, and ETL
Has hands-on projects that prove competency in areas like Data Science, Big Data, Machine Learning, and ETL
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