What you'll learn:
- Basic statistical concepts and terminology.
- Data collection methods and types of data.
- Descriptive statistics: measures of central tendency (mean, median, mode) and measures of dispersion (range, variance, standard deviation).
- Probability theory: basic concepts, rules, and distributions.
- Statistical inference: hypothesis testing and confidence intervals.
- Sampling techniques and survey design.
Course offers:
- We offer one-on-one or group tutoring sessions in a variety of subjects.
- Experienced tutors who provide personalized instruction and guidance.
- Interactive virtual classrooms with video and audio communication.
- Access to numerous educational resources and study materials.
- Online chat or messaging for communication outside of tutoring sessions.
- Integration with other online learning platforms or tools.
Requirements:
- Reliable internet connection to ensure smooth video streaming and communication.
- You will require an audio- and video-capable computer, laptop, or mobile device.
- Some examples of updated web browsers include Google Chrome, Mozilla Firefox, and Safari.
- Necessary software or applications, such as video conferencing tools or learning management systems.
- A headset or headphones with a microphone for clear audio communication.
Course content:
Duration : 130 hours
- Class #1:The fundamentals of descriptive statistics.
- Class #2:How to calculate measures of central tendency, such as mean, median, and mode.
- Class #3:The concept of variability and how to calculate measures of dispersion, including range and standard deviation.
- Class #4:The basics of probability theory and its applications in statistics
- Class #5:How to conduct hypothesis testing and make inferences about populations.
- Class #6:The different types of data and appropriate statistical techniques for analyzing them.
- Class #7:Techniques for data visualization, including graphs and charts.
- Class #8:The principles of sampling and how to draw representative samples.
- Class #9:Regression analysis and how to model relationships between variables.
- Class #10:An introduction to inferential statistics and confidence intervals.
- Class #11:How to interpret and communicate statistical results effectively.
- Class #12:The basics of experimental design and the importance of controlling variables.
- Class #13:The concept of correlation and how to measure it.
- Class #14:How to perform basic statistical analyses using software such as Excel or statistical packages like R or SPSS.
- Class #15:The ethics of statistical analysis and responsible data interpretation.
- Class #16:Common pitfalls and mistakes in statistical analysis and how to avoid them.
- Class #17:The application of statistics in various fields, such as business, healthcare, and social sciences.
- Class #18:Real-world examples and case studies illustrating statistical concepts.
- Class #19:Practical exercises and quizzes to reinforce learning and apply statistical techniques.
- Class #20:Resources for further exploration and deepening your understanding of statistics.
Skills you will acquire:
- Statistics
- Confidence Interval
- Statistical Hypothesis Testing
Book Demo Class
Description:
Statistics is the study of collecting, analyzing, interpreting, and presenting data. It is an essential field in various disciplines, including science, business, social sciences, and more.
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Book Demo Class
