Statistics & Statistical Analysis

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Reed Courses Certificate of Completion

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• Module 01: The Realm of Statistics 15:23

  • 1: The Realm of Statistics Preview 15:23

• Module 02: Basic Statistical Terms 27:51

  • 2: Basic Statistical Terms 27:51

• Module 03: The Center of the Data 10:00

  • 3: The Center of the Data 10:00

• Module 04: Data Variability 21:00

  • 4: Data Variability 21:00

• Module 05: Binomial and Normal Distributions 21:00

  • 5: Binomial and Normal Distributions 21:00

• Module 06: Introduction to Probability 23:42

  • 6: Introduction to Probability 23:42

• Module 07: Estimates and Intervals 21:35

  • 7: Estimates and Intervals 21:35

• Module 08: Hypothesis Testing 21:51

  • 8: Hypothesis Testing 21:51

• Module 09: Regression Analysis 21:00

  • 9: Regression Analysis 21:00

• Module 10: Algorithms, Analytics and Predictions 31:05

  • 10: Algorithms, Analytics and Predictions 31:05

• Module 11: Learning From Experience: The Bayesian Way 20:08

  • 11: Learning From Experience: The Bayesian Way 20:08

• Module 12: Doing Statistics: The Wrong Way 23:39

  • 12: Doing Statistics: The Wrong Way 23:39

• Module 13: How We Can Do Statistics Better 25:28

  • 13: How We Can Do Statistics Better 25:28

Dive into a thrilling journey of numbers, patterns, and predictions. This course offers a comprehensive overview of statistical tools and methodologies, from the basics to advanced tactics. Whether you're learning about the core of data, the essence of distributions, or the art of predictions, you'll be well-equipped to harness the power of statistics in diverse fields. Steer clear of common statistical blunders and adopt refined approaches for more accurate insights. Chart your course in the realm of data!

Course Curriculum:

This course contains the following curriculum:

• Module 01: The Realm of Statistics
• Module 02: Basic Statistical Terms
• Module 03: The Center of the Data
• Module 04: Data Variability
• Module 05: Binomial and Normal Distributions
• Module 06: Introduction to Probability
• Module 07: Estimates and Intervals
• Module 08: Hypothesis Testing
• Module 09: Regression Analysis
• Module 10: Algorithms, Analytics and Predictions
• Module 11: Learning From Experience: The Bayesian Way
• Module 12: Doing Statistics: The Wrong Way
• Module 13: How We Can Do Statistics Better

• Students aspiring to specialise in data analysis.
• Business professionals seeking data-driven decision-making techniques.
• Researchers eager to refine their data interpretation methodologies.
• Entrepreneurs aiming for data-backed strategies.
• Educators looking to incorporate statistics into their teaching methodologies.

No formal entry requirements exist for this course, which is open to everyone.

You can pursue the following careers:

• Data Analyst: (£30,000 - £50,000)
• Statistician: (£35,000 - £55,000)
• Market Research Analyst: (£27,000 - £45,000)
• Economic Researcher: (£31,000 - £52,000)
• Operations Research Analyst: (£33,000 - £57,000).