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Statistical Analysis

(1 students)

This course includes:

06:28:00 hours

CPD Accreditation

13 units

Full lifetime access

Access on mobile and TV

Certificate of completion


Key Concepts Covered by This Free Course:

  • Understand the basics of statistics and its terminology.
  • Analyze the center and variability of data.
  • Examine binomial and normal distributions along with probability.
  • Evaluate estimates, intervals, and hypothesis testing.
  • Conduct regression analysis, algorithms, and analytics.
  • Learn from experience and apply the Bayesian way of learning statistics.

Course Overview 

Unlock the power of data and learn the fundamentals of statistical analysis with our online course! Designed to provide you with a comprehensive understanding of statistical concepts, this course covers everything from basic terminology and distributions to hypothesis testing and regression analysis. You will gain valuable insights into the center and variability of data, binomial and normal distributions, and probability, while also mastering algorithms, analytics, and predictions. The course also explores how you can learn from experience using the Bayesian way and avoid common mistakes while doing statistics. Whether you are looking to improve your skills in data analysis or pursue a career in statistics, our course is the perfect choice for you. With flexible learning options, expert guidance, and practical assignments, you will be equipped with the knowledge and skills to analyze data with confidence. Sign up today and take your first step towards becoming a data-driven decision-maker!

Course Benefits 

Our statistical analysis course is designed to equip you with the knowledge and skills you need to succeed in the rapidly growing field of data analysis. By completing this course, you will gain a deep understanding of statistical concepts and their applications, enabling you to analyze data with confidence. You will learn how to analyze data center and variability, binomial and normal distributions, and probability. Additionally, you will be able to estimate, interval, and test hypotheses. Furthermore, you will conduct regression analysis, algorithms, analytics, and predictions. Lastly, you will learn how to learn from experience using the Bayesian way of learning statistics, and how to avoid common mistakes while doing statistics. By the end of the course, you will have the practical skills and theoretical knowledge to tackle real-world data analysis problems. Whether you are seeking a career in data analysis or looking to improve your skills, our course is the perfect choice for you.

Career Path

  • Data Analyst - Analyze complex data sets and generate reports, visualizations, and insights to inform decision-making.
  • Statistician - Conduct statistical analysis, interpret data, and apply statistical models to real-world problems.
  • Financial Analyst - Analyze financial data, evaluate investment opportunities, and provide insights to guide financial decisions.
  • Market Research Analyst - Collect and analyze market data, identify market trends, and provide insights to guide business decisions.
  • Data Scientist - Develop and implement data-driven solutions to complex business problems using advanced statistical and computational techniques.
  • Business Intelligence Analyst - Collect and analyze data, design and develop dashboards, and provide insights to guide business decisions.
Course content

Statistical Analysis

01: The Realm of Statistics


02: Basic Statistical Terms


03: The Center of the Data


04: Data Variability


05: Binomial and Normal Distributions


06: Introduction to Probability


07: Estimates and Intervals


08: Hypothesis Testing


09: Regression Analysis


10: Algorithms, Analytics and Predictions


11: Learning From Experience: The Bayesian Way


12: Doing Statistics: The Wrong Way


13: How We Can Do Statistics Better


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