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What you'll learn

  • Understand what "big data" and "data analytics" actually mean and why they are so important
  • Learn different data analysis tools, how they work together, and how to use them with your data
  • Know how to ask deeper and more meaningful questions of your data
  • Apply various analysis techniques to datasets in Excel including a regression analysis
  • Build a fully dynamic dashboard to present your findings
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Description

Unlock exclusive learning opportunities with the Intro to Data Analytics using Excel – Nate Wisdify course at esys[GB]. Explore expert insights, advanced techniques, and practical applications from world-renowned instructors in your chosen field. Empower your growth and career with our curated collection of over 70,000 courses from top authors such as John Overdurf, Conor Harris, Tony Robbins, Dr. Joe Dispenza, and more.

What you'll learn

  • Understand what "big data" and "data analytics" actually mean and why they are so important
  • Learn different data analysis tools, how they work together, and how to use them with your data
  • Know how to ask deeper and more meaningful questions of your data
  • Apply various analysis techniques to datasets in Excel including a regression analysis
  • Build a fully dynamic dashboard to present your findings

Requirements

  • We highly recommend taking our "Beginner Statistics for Data Analytics" course first before this course.
  • Intermediate knowledge of Excel (e.g. IF statements, VLOOKUP, etc.)
  • Microsoft Excel 2013+

Description

Our world, your company, and your life are filled with endless amounts of data just begging you to do something with it! If you work with data in any capacity and want to learn how to start analyzing it in an easy-to-understand manner, this course is for you.

In this course, you'll learn the basics of data analysis, some fundamental tools and how to apply them, how to ask questions of your data, and how to present your findings in a slick dashboard. The entire course is done in Excel, no need to have some fancy-shmancy statistical software.

*We do highly recommend taking our "Beginner Statistics for Data Analytics" course before taking this course. The stats course gives you a great background on many of the tools we'll be using.*

We start by demystifying the terms big data and data analytics before jumping into our statistics bootcamp (don’t worry, it’s not as scary as it sounds) to learn the key analytics tools. Armed with these tools, we’ll dive into a case study where we’ll use various analytical tools to analyze our data, come up with hypotheses, and test our assumptions. We top everything off by learning how to present data using a dynamic dashboard.

At completion, you’ll know how to use analytical techniques to analyze data sets.

Our courses are always:   

  • Very easy to understand – There is not memorizing complex formulas (we have Excel to do that for us) or learning abstract theories. Just real, applicable knowledge.
  • Fun – We keep the course light-hearted with fun examples
  • To the point – We removed all the fluff so you're just left with the most essential knowledge

Let's start learning!  

Who this course is for:

  • Anyone who wants to learn more about their data, but don't know where to start
  • Beginners in analytics looking to start gaining value from their data

Course content
8 sections • 44 lectures • 3h 22m total length

  • Introduction
  • Introduction to Data Analytics & Big Data
  • Understanding the Data
  • Pareto Analysis
  • Correlation & Regression Analysis
  • Relationships
  • Modeling & Dashboards
  • Conclusion

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๐ŸŽฏ Why Choose esys[GB] for the Intro to Data Analytics using Excel – Nate Wisdify Course?

At esys[GB], we provide access to a vast collection of educational resources from world-renowned experts. By enrolling in the Intro to Data Analytics using Excel – Nate Wisdify course, youโ€™re joining thousands of learners who trust our platform to advance their skills and knowledge in fields such as hypnosis, NLP, biomechanics, personal development, coaching, and more.

๐Ÿ“š Course Highlights

  • โœ… Comprehensive training materials from top experts in the industry.
  • โœ… Lifetime access to the course content for self-paced learning.
  • โœ… Practical tools and strategies to apply immediately in real-world situations.
  • โœ… Curated content based on the latest research and methodologies.

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Our platform ensures a secure and seamless experience. Your privacy is our priority, and all payments are processed through trusted gateways like PayPal and Stripe. You can rest assured that your personal information is fully protected.

๐Ÿ“ฆ How Will I Receive My Course?

Once your payment is confirmed, youโ€™ll receive instant access to the Intro to Data Analytics using Excel – Nate Wisdify course via your account dashboard. The course materials are downloadable, allowing you to study at your own pace and convenience. In some cases, you may receive additional resources via email.

๐Ÿ“‹ What If I Need Help?

If you have any questions or need support, please feel free to contact us. Our dedicated team is always ready to assist you. Additionally, you can explore more courses from renowned authors on our platform, including Dr. Joe Dispenza, Tony Robbins, John Overdurf, Richard Bandler, and many more.

๐ŸŒŸ What Makes esys[GB] Unique?

With over 70,000+ courses from the worldโ€™s best educators, esys[GB] stands out as a premier destination for learners worldwide. From transformational coaching to cutting-edge scientific approaches, our courses cover a wide range of topics to help you stay ahead in your field.

๐Ÿ”— Related Authors and Topics

Explore more courses from our vast library featuring world-renowned authors:

  • ๐ŸŽค John Overdurf โ€“ Hypnosis and NLP Expert
  • โš™๏ธ Conor Harris โ€“ Biomechanics Specialist
  • ๐ŸŒฑ Dr. Joe Dispenza โ€“ Mind-Body Connection and Healing
  • ๐Ÿ’ผ Tony Robbins โ€“ Personal Development and Success Coaching
  • ๐Ÿง  Richard Bandler โ€“ Co-Founder of NLP

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Intro to Data Analytics using Excel – Nate Wisdify
Original price was: $44.99.Current price is: $21.00. Add to cart