Course Overview

Data analysis is a critical skill in today’s data-driven world, enabling professionals to uncover meaningful insights and support strategic decisions. Whether in business, healthcare, education, or technology, the ability to interpret and visualize data effectively is essential. This course equips learners with the fundamental concepts and practical applications of data analysis, empowering them to make informed, impactful choices using structured analytical thinking.

This course begins with an introduction to the role and relevance of data analysis, highlighting its purpose and audience. It then delves into hands-on techniques for data visualization and report generation, providing learners with the tools to communicate insights clearly. Two comprehensive case studies walk through real-world scenarios from data understanding to generating insights, covering diverse contexts such as education and workplace roles. The course concludes by summarizing key lessons and outlining next steps for continued growth.

Master foundational analysis, apply structured methods to real data, and gain the skills to generate insights that support smart, data-informed decisions.

What You Will Learn

  • Learn about the declarative configuration and GitOps concepts.
  • Explore ArgoCd (and plugin) setup and basic administration.
  • Learn about registering an application and deploying it.
  • Get hands-on with Helm charts, secret manager, and Kustomize.
  • Monitor your application.

Program Curriculum

  • What Is Data Analysis & Why Is It Important?
  • The Tool & The Target Audience
  • Course Overview and Structure
  • $3.5 Million Cybersecurity Scholarship by EC-Council
  • Chapter 1 Quiz

  • Data Visualization – Part 1
  • Data Visualization – Part 2
  • Data Visualization – Part 3
  • Data Visualization – Part 4
  • Generating Reports – Part 1
  • Generating Reports – Part 2
  • Chapter 2 Quiz

  • Data Understanding – Part 1
  • Data Understanding – Part 2
  • Data Understanding – Part 3
  • Data Understanding – Part 4
  • Generating Insights – Part 1
  • Generating Insights – Part 2
  • Chapter 3 Quiz

  • Structuring Analysis Using DA Framework
  • Education
  • Where Do You Work?
  • Job Role & Experience
  • Chapter 4 Quiz

  • What Have We Learned & Where to Go Next?
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Instructor

Ankit Shukla

Ankit Shukla is a self-taught data scientist working in the data space since 2014. He is well versed in deep learning, machine learning and Big Data technologies and holds a bachelor’s in engineering from Birla Institute of Technology, Mesra with a major in Biotechnology. His focus areas include Predictive Modelling, Recommender Systems and Natural Language Processing. He is deeply passionate about data science and is always on a look out to give back to the community. His other published works include a paper on developing an enterprise recommender system, 2 papers on Generative Adversarial Networks and the book - Big Data Analysis with Python.

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