Introductory statistics Part1: Descriptive Statistics
What you'll learn
- By the end of this course you will be knowledgeable in using descriptive statistical analysis techniques to summarize and analyze the data
- By the end of this course you will be able to compute measures of center of the data, measures of spread, measures of relative positions
- By the end of this course, you will know how to use the empirical rule for analyzing data
- By the end of this course you will know how to compute the correlation coefficient and make interpretations of the data
- By the end of this course, you will be able to use EXCEL for descriptive statistical analyses
Requirements
- Basic Algebra and the desire to understand basic statistics very well
- Scientific calculator such as TI 83/84 or any scientific calculator such as TI 39
Description
This updated course on Descriptive Statistics now features a Real-World Applications section, where you'll learn how to use EXCEL to analyze real-life data. Whether you’re a beginner or have never used EXCEL before, you'll follow easy, step-by-step instructions to load data, select the appropriate tabs, and apply the concepts you’ve learned to analyze data with ease. This practical section is especially beneficial for professionals and college students who need to interpret data in their fields of study.
The course covers college-level descriptive statistics in an engaging and accessible way, making it ideal for students and professionals who want to understand and apply statistical concepts confidently. You will be equipped with both the theoretical knowledge and the practical skills to analyze data effectively.
You'll dive deep into key topics, with extensive solved problems that walk you through real examples, ensuring you can apply what you’ve learned to solve similar problems on your own. Descriptive statistics will be explored through numerical and graphical techniques, enabling you to summarize data, uncover patterns, and present the results in a clear and actionable way.
Interactive videos with detailed explanations, quizzes, and a final test are included to help reinforce your learning and assess your understanding of the material. This course is designed to take approximately three hours to complete, and the final test will give you an opportunity to demonstrate your mastery of descriptive statistics.
Join now and master the essential skills of descriptive statistics that are widely applicable in business, research, and everyday data analysis!
Who this course is for:
- College students taking an introductory statistics course
- Beginner data engineers and analysts who need to understand statistics
- Anyone dealing with data who sometimes need a quick refresher
- Anyone dealing with data who need a sound academic introduction to basic statistics
Instructor
- 4.4 Instructor Rating
- 212 Reviews
- 3,425 Students
- 6 Courses
I bring over 20 years of experience as an Applied Statistician and Data Scientist with a strong foundation in both teaching and applying statistical techniques to real-world challenges. My career includes 13 years teaching college-level Introductory Statistics courses to undergraduate students at St. Petersburg College in Clearwater, Florida, where I helped thousands of students develop a solid understanding of statistics. Additionally, I’ve provided personalized tutoring in Statistics and Math, helping students of all backgrounds achieve academic success.
As a Data Scientist, my passion lies in leveraging data to solve complex problems across diverse domains, including Education, Business, Engineering, Health and Sustainable Development. I specialize in Exploratory Data Analysis, Statistical Analysis, and Machine Learning, with a particular focus on interpreting and presenting insights in meaningful ways.
What makes my courses unique is the use of real-world examples. This approach ensures you gain practical experience and learn how to apply statistical concepts to real-world scenarios. My teaching style emphasizes clarity, hands-on learning, and step-by-step guidance, making statistics accessible and applicable, even for beginners.
When I’m not teaching, I lead projects through my nonprofit organization, OUAGANET, which empowers communities in Burkina Faso by addressing issues like sustainable farming, women’s empowerment, and access to clean water. By combining my expertise in statistics with my commitment to social impact, I aim to inspire students to see how data can create positive change.
Join me in exploring the power of data and building your skills in statistics and data science to tackle real-world challenges!