INTRODUCTION TO STATISTICS
Course 2302
3 Hours
$299
Statistics is the language of data. This course introduces foundational statistical concepts and techniques, equipping participants to analyze data, interpret results, and apply insights to real-world challenges. Begin your journey into data literacy today.
Target Audience
- Beginners looking to build a strong foundation in statistics
- Professionals needing statistical knowledge for work (e.g., in healthcare, finance, or marketing)
- Students preparing for advanced data or analytics courses
- Anyone interested in understanding and applying statistical concepts
Course Format:
- Live or Virtual Lectures: Delivered by experienced statisticians and data professionals.
- Interactive Activities: Hands-on exercises, case study discussions, and group problem-solving.
- Resources Provided: Practice datasets, calculation templates, and additional learning guides.
Payment Information: We accept credit card payments.
Course Objectives
- Understand the role and importance of statistics in analyzing data and making decisions.
- Learn fundamental concepts such as probability, distributions, and descriptive statistics.
- Gain experience performing statistical calculations and interpreting outputs.
- Explore real-world applications of statistics across various industries.
Course Structure:
Fundamentals of Statistics
- What is statistics? Definitions and key concepts.
- Types of data: qualitative vs. quantitative.
- Overview of descriptive and inferential statistics.
Descriptive Statistics
- Measures of central tendency (mean, median, mode)
- Measures of variability (range, variance, standard deviation)
- Data visualization (histograms, bar charts, scatter plots)
Probability and Distributions
- Basic probability rules and concepts.
- Probability distributions (normal, binomial, Poisson)
- Understanding z-scores and their applications.
Hypothesis Testing Basics
- Null and alternative hypotheses: definitions and importance.
- Types of errors: Type I and Type II.
- Conducting a simple t-test and interpreting results.
Real-World Applications of Statistics
- How statistics is used in decision-making: case studies from healthcare, finance, and marketing.
- Identifying and avoiding misuse of statistics.
- Resources for further learning in statistics and data analysis.
Group Rates Available!
Bring your team and save – perfect for healthcare organizations looking to train multiple leaders.
Discounts available for organizations enrolling 5+ participants.
Class Schedule
Rates below are for each participant.
January 31, 2025
9:00 AM – 12:00 PM EST
Introduction to Statistics
Virtual, EST
$299
Class ID: 2302
February 14, 2025
9:00 AM – 12:00 PM EST
Introduction to Statistics
Virtual, EST
$299
Class ID: 2302
March 20, 2025
9:00 AM – 12:00 PM EST
Introduction to Statistics
Virtual, EST
$299
Class ID: 2302
Frequently Asked Questions
What will I learn in this course?
You’ll learn fundamental statistical concepts, including descriptive statistics, probability, distributions, and hypothesis testing, along with practical applications.
Do I need prior knowledge of statistics to take this course?
No prior knowledge is required. This course is designed for beginners and introduces concepts in an accessible, practical way.
Will I perform calculations during the course?
Yes! Participants will engage in hands-on exercises, such as calculating mean, standard deviation, probabilities, and performing basic hypothesis tests.
What tools will I use during the course?
The course focuses on manual calculations and introduces tools like Excel or Google Sheets for basic statistical functions.
How does the course cover real-world applications?
You’ll explore case studies and examples from industries like healthcare, finance, and marketing to understand how statistics informs decision-making.
Is this course suitable for non-technical professionals?
Absolutely! The course emphasizes practical applications and real-world examples, making it accessible to participants from any background.
Does the course include data visualization techniques?
Yes, you’ll learn basic visualization techniques like histograms, scatterplots, and box plots to effectively present data.
Will I receive resources for continued learning?
Yes, participants will receive datasets, calculation templates, and a curated list of resources for further exploration in statistics and data analysis.