Statistics Essentials

(3 students)

This course includes:

  • list-favs3 hours, 13 minutes
  • list-favsCPD Accreditation
  • list-favs9 units
  • list-favsFull lifetime access
  • list-favsAccess on mobile and TV
  • list-favsCertificate of completion
course plublisher
Course Cloud

Key Concepts Covered by This Free Course:

  •     Introduction to Statistics and its importance in decision making
  •     Measuring Central Tendency and how to determine the average of a dataset
  •     Measures of Dispersion and how to measure the spread of a dataset
  •     Probability and its role in statistical analysis
  •     Charts and Graphs and how to visually represent data
  •     Hypothesis Testing and how to test the significance of results
  •     Ten Common Statistical Mistakes and how to avoid them

Course Overview:

Statistics Essentials is the perfect course for anyone who wants to learn the basics of statistics. This free course covers everything from the introduction to statistics to common statistical mistakes. Our course is designed to be easy to understand and follow, so even if you have no prior knowledge of statistics, you will be able to understand the concepts covered.

We know statistics can be intimidating, but our course breaks it down into bite-sized modules that are easy to digest. By the end of this course, you will have a solid understanding of the key concepts and techniques used in statistics. You will be able to apply this knowledge to real-world scenarios and make better-informed decisions in your personal and professional life.

Course Benefits:

By taking Statistics Essentials, you will gain valuable knowledge that can positively impact your career. This course can help you stand out in a competitive job market and open up new opportunities for career advancement. Additionally, you will be able to use the concepts you learn in this course to make better decisions in your personal life.

Not only is this course free, but it is also self-paced, which means you can study at your own pace and on your own schedule. You will have access to all course materials, including videos, quizzes, and interactive exercises, which means you can learn in a way that suits your learning style.

Career Path:

  • Data analyst: Collect, analyse and interpret complex data to help businesses make informed decisions
  • Marketing analyst: Analyze market trends and customer data to develop effective marketing strategies
  • Financial analyst: Analyze financial data to identify trends and create financial models to help businesses make better financial decisions
  • Quality control analyst: Develop and implement quality control procedures to ensure products meet company and industry standards
  • Research analyst: Conduct research and analyse data to help companies make better-informed decisions.

Course content

  • video Module 01: Introduction to Statistics
  • video Module 02: Measuring Central Tendency
  • video Module 03: Measures of Dispersion
  • video Module 04: Correlation and Regression Analysis
  • video Module 05: Probability
  • video Module 06: Sampling
  • video Module 07: Charts and Graphs
  • video Module 08: Hypothesis Testing
  • video Module 09: Ten Common Statistical Mistakes

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About Course Publisher

Course Cloud
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Unlock your potential with Course Cloud, the UK's leading online provider of career-enhancing skills. With everything from IT and business to healthcare and skilled trades, our diverse range of courses are researched diligently and accredit-rated. Enjoy interactive, self-paced learning through diverse formats that include instructor-led sessions, multimedia lessons and expansive study material. You could be the next to power your career with us. Don't miss out on the opportunity of learning anything at any place with unprecedented flexibility through courseware available on any device. With dedicated tutor support, Course Cloud assures a learning journey that is not just informative but transformative. Join us in taking the first step towards achieving your career aspirations. Request the information today in English (UK) language.