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Abhishek Kumar
Augmented analytics is one of the major trends transforming modern data analytics to extract business value at scale. This course will teach you everything you need to know to kick start your journey in the augmented analytics era.
Read more
Augmented analytics is one of the major trends transforming modern data analytics to extract business value at scale. This course will teach you everything you need to know to kick start your journey in the augmented analytics era.
Read more
Augmented analytics is one of the major trends transforming modern data analytics to extract business value at scale. This course will teach you everything you need to know to kick start your journey in the augmented analytics era.
In the modern era, data is the most valuable asset for any organization. However, extracting value from the data asset is still cumbersome, manual and limited. Augmented analytics is transforming the process of value extraction by providing powerful tools to analytics and business users leveraging AI and machine learning under the hood. In this course, Getting Started with Augmented Analytics, you’ll learn to use the power of Augmented Analytics to extract value for your organization, at scale. First, you’ll explore the Augmented Analytics spectrum and how it is redefining the analytics workflows. Next, you’ll discover the building blocks powering Augmented analytics and key players offering these solutions. Finally, you’ll learn how to adopt augmented analytics in your organization. When you’re finished with this course, you’ll have the skills and knowledge of Augmented Analytics needed to adopt, implement, and drive the value creation at scale using data.
Register for this course and see more details by visiting:
OpenCourser.com/course/wzgcjd/getting
What's inside
Syllabus
Course Overview
Understanding Augmented Analytics
Building Blocks of Augmented Analytics
Exploring Augmented Analytics Offerings
Read more
Syllabus
Course Overview
Understanding Augmented Analytics
Building Blocks of Augmented Analytics
Exploring Augmented Analytics Offerings
Read more
Adopting Augmented Analytics in Your Organization
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Introduces the concept of augmented analytics, a growing area in data analytics
Suitable for beginners seeking to understand the fundamentals of augmented analytics
Provides an overview of the key players and offerings in the augmented analytics space
Offers practical guidance on adopting augmented analytics within an organization
Covers the building blocks of augmented analytics, including AI and machine learning
Course instructor Abhishek Kumar is recognized for his contributions to the domain of augmented analytics
Save this course
Save Getting Started with Augmented Analytics 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 Getting Started with Augmented Analytics with these
activities:
Textbook Review
Show steps
Reviewing key concepts from the course textbook can help solidify your understanding of the fundamentals of augmented analytics.
Browse courses on
Augmented Analytics
Show steps
-
Read assigned textbook chapters
-
Take notes on key concepts
-
Complete practice problems
Review basic machine learning algorithms
Show steps
Review foundational machine learning algorithms to enhance your comprehension of advanced concepts during the course.
Browse courses on
Machine Learning
Show steps
-
Review linear regression, logistic regression, and decision trees.
-
Practice implementing these algorithms in a coding environment.
Guided Tutorials on AI and Machine Learning
Show steps
Engaging in guided tutorials on AI and machine learning can deepen your understanding of the technical foundations of augmented analytics.
Show steps
-
Identify relevant tutorials on Coursera or Udemy
-
Follow the tutorials step-by-step
-
Complete practice exercises
-
Attend live Q&A sessions
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Practice using machine learning models to analyze data
Show steps
Reinforce your understanding of the concepts and techniques covered in the course by applying them to real-world datasets.
Browse courses on
Machine Learning
Show steps
-
Identify a dataset that is relevant to your interests or industry.
-
Clean and prepare the data for analysis.
-
Choose and train a machine learning model.
-
Evaluate the performance of the model.
Follow tutorials on augmented analytics tools
Show steps
Enhance your understanding of augmented analytics by exploring hands-on tutorials and demonstrations.
Browse courses on
Augmented Analytics
Show steps
-
Identify reputable sources for tutorials on augmented analytics tools.
-
Complete tutorials on data preparation, analysis, and visualization.
Explore Azure Machine Learning Service
Show steps
Deepen your understanding by exploring Microsoft's Azure Machine Learning Service.
Show steps
-
Follow the official tutorials by Microsoft
-
Create a workspace and experiment
-
Deploy a ML model
Practice Augmented Analytics with Exercises
Show steps
Become proficient in Augmented Analytics with hands-on practice.
Browse courses on
Augmented Analytics
Show steps
-
Enroll in an online course with exercises
-
Follow video tutorials with exercises
-
Join an online community for discussion
Coding Challenges on Kaggle
Show steps
Participating in coding challenges on Kaggle can enhance your ability to apply augmented analytics techniques to real-world datasets.
Show steps
-
Join Kaggle competitions
-
Study the problem statements
-
Develop and implement data analysis solutions
-
Submit your solutions
-
Analyze results and iterate
Write a Blog Post on Augmented Analytics
Show steps
Creating a blog post on augmented analytics can help you synthesize your knowledge and improve your communication skills.
Show steps
-
Research the topic
-
Outline your post
-
Write the first draft
-
Edit and proofread
-
Publish your post
Develop an augmented analytics prototype
Show steps
Apply your understanding by creating a prototype that showcases the practical application of augmented analytics.
Browse courses on
Augmented Analytics
Show steps
-
Identify a business problem or opportunity.
-
Collect and prepare relevant data.
-
Choose an augmented analytics tool and apply it to analyze the data.
-
Develop visualizations and insights based on your analysis.
-
Present your prototype to demonstrate the value of augmented analytics.
Participate in Data Science Hackathons
Show steps
Participating in data science hackathons can provide valuable hands-on experience in applying augmented analytics techniques to solve complex problems.
Show steps
-
Find relevant hackathons
-
Form a team
-
Develop a project proposal
-
Implement your solution
-
Present your results
Textbook Review
Show steps
Reviewing key concepts from the course textbook can help solidify your understanding of the fundamentals of augmented analytics.
Browse courses on
Augmented Analytics
Show steps
Show steps
Show steps
- Read assigned textbook chapters
- Take notes on key concepts
- Complete practice problems
Review basic machine learning algorithms
Show steps
Review foundational machine learning algorithms to enhance your comprehension of advanced concepts during the course.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Review linear regression, logistic regression, and decision trees.
- Practice implementing these algorithms in a coding environment.
Guided Tutorials on AI and Machine Learning
Show steps
Engaging in guided tutorials on AI and machine learning can deepen your understanding of the technical foundations of augmented analytics.
Show steps
Show steps
Show steps
- Identify relevant tutorials on Coursera or Udemy
- Follow the tutorials step-by-step
- Complete practice exercises
- Attend live Q&A sessions
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Practice using machine learning models to analyze data
Show steps
Reinforce your understanding of the concepts and techniques covered in the course by applying them to real-world datasets.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Identify a dataset that is relevant to your interests or industry.
- Clean and prepare the data for analysis.
- Choose and train a machine learning model.
- Evaluate the performance of the model.
Follow tutorials on augmented analytics tools
Show steps
Enhance your understanding of augmented analytics by exploring hands-on tutorials and demonstrations.
Browse courses on
Augmented Analytics
Show steps
Show steps
Show steps
- Identify reputable sources for tutorials on augmented analytics tools.
- Complete tutorials on data preparation, analysis, and visualization.
Explore Azure Machine Learning Service
Show steps
Deepen your understanding by exploring Microsoft's Azure Machine Learning Service.
Show steps
Show steps
Show steps
- Follow the official tutorials by Microsoft
- Create a workspace and experiment
- Deploy a ML model
Practice Augmented Analytics with Exercises
Show steps
Become proficient in Augmented Analytics with hands-on practice.
Browse courses on
Augmented Analytics
Show steps
Show steps
Show steps
- Enroll in an online course with exercises
- Follow video tutorials with exercises
- Join an online community for discussion
Coding Challenges on Kaggle
Show steps
Participating in coding challenges on Kaggle can enhance your ability to apply augmented analytics techniques to real-world datasets.
Show steps
Show steps
Show steps
- Join Kaggle competitions
- Study the problem statements
- Develop and implement data analysis solutions
- Submit your solutions
- Analyze results and iterate
Write a Blog Post on Augmented Analytics
Show steps
Creating a blog post on augmented analytics can help you synthesize your knowledge and improve your communication skills.
Show steps
Show steps
Show steps
- Research the topic
- Outline your post
- Write the first draft
- Edit and proofread
- Publish your post
Develop an augmented analytics prototype
Show steps
Apply your understanding by creating a prototype that showcases the practical application of augmented analytics.
Browse courses on
Augmented Analytics
Show steps
Show steps
Show steps
- Identify a business problem or opportunity.
- Collect and prepare relevant data.
- Choose an augmented analytics tool and apply it to analyze the data.
- Develop visualizations and insights based on your analysis.
- Present your prototype to demonstrate the value of augmented analytics.
Participate in Data Science Hackathons
Show steps
Participating in data science hackathons can provide valuable hands-on experience in applying augmented analytics techniques to solve complex problems.
Show steps
Show steps
Show steps
- Find relevant hackathons
- Form a team
- Develop a project proposal
- Implement your solution
- Present your results
Career center
Learners who complete Getting Started with Augmented Analytics will develop knowledge and skills
that may be useful to these careers:
Marketing Manager
Marketing Manager
A Marketing Manager is responsible for developing and executing marketing campaigns to promote products and services. Augmented Analytics can provide Marketing Managers with powerful tools to understand customer behavior and target marketing campaigns more effectively. This course provides a foundation in the principles and practices of Augmented Analytics, as well as key players offering Augmented Analytics solutions and how to adopt them in an organization. This knowledge can help Marketing Managers stay up-to-date with the latest trends and advance their careers.
Sales Manager
Sales Manager
A Sales Manager is responsible for leading a team of sales representatives and achieving sales goals. Augmented Analytics can provide Sales Managers with powerful tools to understand customer needs and sales trends, which can help them make better decisions about sales strategies. This course provides a foundation in the principles and practices of Augmented Analytics, as well as key players offering Augmented Analytics solutions and how to adopt them in an organization. This knowledge can help Sales Managers stay up-to-date with the latest trends and advance their careers.
Product Manager
Product Manager
A Product Manager is responsible for the development and launch of new products and features. Augmented Analytics can provide Product Managers with powerful tools to understand customer needs and usage patterns, which can help them make better decisions about product development. This course provides a foundation in the principles and practices of Augmented Analytics, as well as key players offering Augmented Analytics solutions and how to adopt them in an organization. This knowledge can help Product Managers stay up-to-date with the latest trends and advance their careers.
Operations Manager
Operations Manager
An Operations Manager is responsible for the day-to-day operations of an organization. Augmented Analytics can provide Operations Managers with powerful tools to understand business processes and identify areas for improvement. This course provides a foundation in the principles and practices of Augmented Analytics, as well as key players offering Augmented Analytics solutions and how to adopt them in an organization. This knowledge can help Operations Managers stay up-to-date with the latest trends and advance their careers.
Consultant
Consultant
A Consultant provides expert advice and guidance to organizations on a variety of topics, including data analytics. Augmented Analytics is a growing field that uses artificial intelligence and machine learning to automate and augment the data analysis process. This course provides a foundation in the principles and practices of Augmented Analytics, which can help Consultants provide more valuable insights and recommendations to their clients. The course also covers key players offering Augmented Analytics solutions and how to adopt them in an organization, making it a valuable resource for Consultants looking to advance their careers.
Data Architect
Data Architect
A Data Architect designs and manages data systems to support an organization's business needs. Augmented Analytics can provide Data Architects with powerful tools to automate and augment the data analysis process, enabling them to work more efficiently and effectively. This course provides a foundation in the principles and practices of Augmented Analytics, as well as key players offering Augmented Analytics solutions and how to adopt them in an organization. This knowledge can help Data Architects stay up-to-date with the latest trends and advance their careers.
Data Analyst
Data Analyst
A Data Analyst analyzes data and communicates insights from patterns and trends to help organizations make informed decisions. Augmented Analytics is a growing field that uses artificial intelligence and machine learning to automate and augment the data analysis process. This course provides a foundation in the principles and practices of Augmented Analytics, which can help Data Analysts work more efficiently and effectively. The course also covers key players offering Augmented Analytics solutions and how to adopt them in an organization, making it a valuable resource for Data Analysts looking to advance their careers.
Chief Data Officer
Chief Data Officer
A Chief Data Officer is responsible for the overall data strategy of an organization. Augmented Analytics is a growing field that uses artificial intelligence and machine learning to automate and augment the data analysis process. This course provides a foundation in the principles and practices of Augmented Analytics, which can help Chief Data Officers work more efficiently and effectively. The course also covers key players offering Augmented Analytics solutions and how to adopt them in an organization, making it a valuable resource for Chief Data Officers looking to advance their careers.
Data Science Manager
Data Science Manager
A Data Science Manager leads a team of data scientists and is responsible for the overall data science strategy of an organization. Augmented Analytics is a growing field that uses artificial intelligence and machine learning to automate and augment the data analysis process. This course provides a foundation in the principles and practices of Augmented Analytics, which can help Data Science Managers work more efficiently and effectively. The course also covers key players offering Augmented Analytics solutions and how to adopt them in an organization, making it a valuable resource for Data Science Managers looking to advance their careers.
Analytics Manager
Analytics Manager
An Analytics Manager leads a team of analysts and is responsible for the overall data analytics strategy of an organization. Augmented Analytics is a growing field that uses artificial intelligence and machine learning to automate and augment the data analysis process. This course provides a foundation in the principles and practices of Augmented Analytics, which can help Analytics Managers work more efficiently and effectively. The course also covers key players offering Augmented Analytics solutions and how to adopt them in an organization, making it a valuable resource for Analytics Managers looking to advance their careers.
Data Engineer
Data Engineer
A Data Engineer designs and manages data pipelines and infrastructure to support an organization's data needs. Augmented Analytics can provide Data Engineers with powerful tools to automate and augment the data analysis process, enabling them to work more efficiently and effectively. This course provides a foundation in the principles and practices of Augmented Analytics, as well as key players offering Augmented Analytics solutions and how to adopt them in an organization. This knowledge can help Data Engineers stay up-to-date with the latest trends and advance their careers.
Business Intelligence Analyst
Business Intelligence Analyst
A Business Intelligence Analyst analyzes data and communicates insights from patterns and trends to help organizations make informed decisions. Augmented Analytics is a growing field that uses artificial intelligence and machine learning to automate and augment the data analysis process. This course provides a foundation in the principles and practices of Augmented Analytics, which can help Business Intelligence Analysts work more efficiently and effectively. The course also covers key players offering Augmented Analytics solutions and how to adopt them in an organization, making it a valuable resource for Business Intelligence Analysts looking to advance their careers.
Data Scientist
Data Scientist
A Data Scientist uses data to solve business problems and develop new insights. Augmented Analytics can help Data Scientists automate and augment the data analysis process, enabling them to work more efficiently and effectively. This course provides a foundation in the principles and practices of Augmented Analytics, as well as key players offering Augmented Analytics solutions and how to adopt them in an organization. This knowledge can help Data Scientists stay up-to-date with the latest trends and advance their careers.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer builds and maintains machine learning models to solve business problems. Augmented Analytics can provide Machine Learning Engineers with powerful tools to automate and augment the data analysis process, enabling them to work more efficiently and effectively. This course provides a foundation in the principles and practices of Augmented Analytics, as well as key players offering Augmented Analytics solutions and how to adopt them in an organization. This knowledge can help Machine Learning Engineers stay up-to-date with the latest trends and advance their careers.
Business Analyst
Business Analyst
A Business Analyst bridges the gap between business and technology, helping organizations identify and meet their business needs. Augmented Analytics can provide Business Analysts with powerful tools to extract insights from data, identify trends, and make recommendations for improvement. This course provides a foundation in the principles and practices of Augmented Analytics, as well as key players offering Augmented Analytics solutions and how to adopt them in an organization. This knowledge can help Business Analysts add value to their organizations and advance their careers.
For more career information including salaries, visit:
OpenCourser.com/course/wzgcjd/getting
Reading list
We've selected ten 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
Getting Started with Augmented Analytics.
Provides a comprehensive overview of data science and its core concepts, including machine learning and statistical modeling, which are fundamental to augmented analytics.
Save
An exploration of the impact of big data on society and business. Provides context for understanding the role of augmented analytics in harnessing the power of data.
Provides a foundation in data science and machine learning techniques used in augmented analytics. Covers Apache Spark, a popular platform for big data processing.
A classic work on innovation and technological disruption. While not specifically about augmented analytics, it provides valuable insights into the challenges and opportunities of adopting new technologies.
Save
Provides readers with a comprehensive introduction to deep learning.
Provides readers with a comprehensive introduction to data mining.
Provides readers with a comprehensive introduction to natural language processing with Python.
Provides readers with a hands-on introduction to data analysis with Pandas.
Provides readers with a comprehensive introduction to data science.
Provides readers with a comprehensive introduction to machine learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/wzgcjd/getting
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Time
75 hours
Level
Introductory
Via
Pluralsight
Instructor
Abhishek Kumar
Language
English
Good to know
Introduces the concept of augmented analytics, a growing area in data analytics
Suitable for beginners seeking to understand the fundamentals of augmented analytics
Provides an overview of the key players and offerings in the augmented analytics space
Offers practical guidance on adopting augmented analytics within an organization
Covers the building blocks of augmented analytics, including AI and machine learning
Course instructor Abhishek Kumar is recognized for his contributions to the domain of augmented analytics
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