Course Access:
90-day course access from date of purchase
Time:
Self-study, self-paced
Instructor:
Joseph Yeates. CFI
Length/Duration:
3 hours
| About This Course |
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Statistics Fundamentals introduces the foundational concepts needed to run a statistical test and interpret the results. We will overview the landscape of statistics exploring descriptive statistics and various approaches to inferential statistics. You’ll learn not only the types of approaches but also why we need different approaches and how data scientists go about selecting the best approach. In this course, you’ll also get a chance to run hypothesis tests on real and simulated data sets using Excel’s Data Analysis ToolPak. We’ll also examine key fundamental concepts like the Central Limit Theorem, Empirical Rule, and Law of Large Numbers and you’ll apply what you learn through exercises.
The topics covered in this course will support you in conducting good analysis, applying data to business decisions, and exploring the more advanced topics within the Business Intelligence and Data Analysis program such as machine algorithms.
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Upon completing this course, you will be able to:
- Define and recognize the key branches of statistics
- Identify the various approaches to inferential statistics and their strengths and weaknesses
- Identify strategies for constructing an unbiased hypothesis test
- Assemble and perform a two-tail t-test
| Who Should Attend |
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The Statistics
Fundamentals course is perfect for anyone without a background in statistics
who would like to build up their understanding or for those who just want a
refresher. This course is designed to equip anyone who desires to begin a
career in data analysis, quantitative analysis, business intelligence, or other
areas of business and finance with an understanding of foundational statistics
tools and concepts.
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| About Our Expert |
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Joseph Yeates
Joseph is passionate about driving better decision-making by creating, curating, and communicating insights from data. A data enthusiast with a background in retail banking, he is an advocate for making advanced analytics more accessible to a wider audience by integrating them into business intelligence solutions.
Joseph helps organize the Vancouver Power BI & Modern Excel User Group. An active speaker, he has presented sessions on combining data science with business intelligence at conferences in the Pacific Northwest and across North America.
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| Continued Risk Learning Credits: 3 |
PRMIA Continued Risk Learning (CRL) programs provide you with the opportunity to formally recognize your professional development, documenting your evolution as a risk professional. Employers can see that you are not static, making you a highly valued, dynamic, and desirable employee. The CRL program is open to all Contributing, Sustaining, and Risk Leader members, providing a convenient and easily accessible way to submit, manage, track and document your activities online through the PRMIA CRL Center. To request CRL credits, please email [email protected].
| Registration |
| Membership Type |
Price |
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| Members |
$ 80.00 |
| Non Members |
$ 88.00 |
Access
Immediate access to the course is granted for 90 days after your purchase. Please complete the course within that time period.
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Support
For technical issues regarding course access, contact [email protected]
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