Introduction to Statistics and Data Analysis

Janets

Certificate of completion

Digital certificate - £9.99

Certificate of completion

Hard copy certificate - £15.99

Multiple Choice Questions (MCQ)/Assignment

Included in course price

Through this comprehensive Introduction to Statistics and Data Analysis course, participants will gain a solid understanding of statistics, mastering key concepts such as central tendency, dispersion, correlation, regression, probability, sampling, and hypothesis testing. As a result, they will be equipped to tackle real-world data analysis challenges, communicate their findings effectively, and avoid common statistical mistakes.

With a curriculum designed to cater to both beginners and those seeking to refresh their statistical knowledge, this Introduction to Statistics and Data Analysis course provides participants with the skills necessary to excel in a range of careers, from data analysis and market research to quality control and statistical consulting. Enrol in the Introduction to Statistics and Data Analysis course today to seize the opportunities that await you in the thriving data analytics industry.

Here is the curriculum breakdown of this Introduction to Statistics and Data Analysis course:

Module 01: Introduction to Statistics

Gain a foundational understanding of statistics and explore its various applications in real-world scenarios.

Module 02: Measuring Central Tendency

Learn how to calculate and interpret mean, median, and mode, which are crucial for summarising data.

Module 03: Measures of Dispersion

Understand the importance of range, variance, and standard deviation in assessing data spread.

Module 04: Correlation and Regression Analysis

Examine relationships between variables and use regression techniques to make predictions.

Module 05: Probability

Investigate probability concepts and learn to apply them in a range of situations.

Module 06: Sampling

Discover the significance of sampling techniques in data analysis and their impact on the accuracy of results.

Module 07: Charts and Graphs

Develop skills in creating and interpreting various data visualizations for effective communication.

Module 08: Hypothesis Testing

Master the process of conducting statistical tests to make data-driven decisions.

Module 09: Ten Common Statistical Mistakes

Identify prevalent errors in statistical analysis and learn strategies to avoid them.

This Introduction to Statistics and Data Analysis course is designed for individuals with little to no background in statistics who wish to develop foundational skills in data analysis. It is suitable for students, professionals, and researchers from diverse fields, such as business, finance, healthcare, education, and social sciences. The Introduction to Statistics and Data Analysis course aims to equip participants with essential statistical knowledge and tools to make data-driven decisions and effectively communicate their findings.

• Data Analyst - £25-50k/year
• Market Research Analyst - £23-45k/year
• Quantitative Analyst - £30-70k/year
• Biostatistician - £35-60k/year
• Quality Control Analyst - £24-45k/year
• Statistical Consultant - £30-80k/year

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