Probability And Statistics Course
4 Students
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1 Year
Access -
Intermediate
Skill Level -
Course Certificate
Certificate -
68
Units -
0
Quizzes -
10 hours, 56 minutes
Duration
Overview
From public policymaking to marketing, statistics plays a leading role in many industries. Acquire this valuable skill set and open new doors of opportunities with our Probability And Statistics Course. This course will provide you with quality training and help you establish a silid foundation in this area.
Our detailed course will help you understand statistics and probability clearly. Through the modules, you will grasp the skills for data visualisation and sampling. Then, you will be able to grasp the core principles of probability. The course will also provide a detailed understanding of discrete distributions and continuous distributions. Furthermore, you will build the skills required for hypothesis tests, regression and much more.
At the end of the course, you will receive a CPDQS-accredited certificate of achievement. This certificate will demonstrate your expertise in this area and increase your employability. Enrol!
Course Preview
Learning Outcomes
- Understand the core principles of descriptive statistics
- Develop the skills and knowledge required for data visualisation
- Learn about the core concepts of probability
- Receive detailed lessons on discrete distributions and continuous distributions
- Explore the vital areas of hypothesis test, regression, and Chi-Squared tests
Why Take This Course From John Academy?
- Affordable, well-structured and high-quality e-learning study materials
- Meticulously crafted, engaging and informative tutorial videos and materials
- Efficient exam systems for the assessment and instant result
- Earn UK & internationally recognised accredited qualification
- Easily access the course content on mobile, tablet, or desktop from anywhere, anytime
- Excellent career advancement opportunities
- Get 24/7 student support via email
What Skills Will You Learn from This Course?
- Probability
- Data Visualisation
- Hypothesis Test
- Sampling
- Regression
Who Should Take This Probability And Statistics Course?
Whether you’re an existing practitioner or an aspiring professional, this course is an ideal training opportunity. It will elevate your expertise and boost your CV with key skills and a recognised qualification attesting to your knowledge.
Are There Any Entry Requirements?
This Probability And Statistics Course is available to all learners of all academic backgrounds. But learners should be aged 16 or over to undertake the qualification. And a good understanding of the English language, numeracy, and ICT will be helpful.
Probability And Statistics Course Certification
After completing and passing the Probability And Statistics Course successfully, you will be able to obtain a Recognised Certificate of Achievement. Learners can obtain the certificate in hard copy at £14.99 or PDF format at £11.99.
Career Path
This exclusive Probability And Statistics Course will equip you with effective skills and abilities and help you explore career paths such as
- Data Analyst
- Statistician
- Operations Research Analyst
- Market Research Analyst
- Risk Analyst
Course Curriculum
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Introduction 00:02:00 -
Course Overview 00:03:00
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The Mean Average 00:15:00
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The Median Average 00:09:00
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The Modal Average 00:08:00
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Comparing Averages 00:09:00
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Quantiles, Range and Inter-Quartile Range 00:14:00
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Standard Deviation and Variance 00:16:00
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The Coefficient of Variation 00:05:00
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Skew 00:12:00
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Kurtosis 00:11:00
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Correlation Coefficients 00:17:00
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Anomalies and Outliers 00:17:00
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Coding Your Data 00:11:00
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Line Graphs 00:11:00
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Bar Charts 00:10:00
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Dual Axis Charts 00:07:00
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Pie Charts 00:07:00
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Histograms 00:13:00
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Box Plots 00:09:00
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Cumulative Frequency 00:10:00
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Comparing Visualizations 00:13:00
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Populations and Samples 00:06:00
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Random Sampling 00:14:00
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Non-Random Sampling 00:04:00
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What is Probability? 00:09:00
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Set Notation 00:10:00
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Independent Events 00:04:00
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Mutually Exclusive Events 00:06:00
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Tree Diagrams 00:07:00
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Venn Diagrams 00:13:00
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Conditional Probability 00:11:00
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Bayes’ Theorem 00:14:00
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What is a Discrete Random Variable? 00:08:00
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Probability Mass Functions 00:06:00
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The Expectation of a Discrete Random Variable 00:07:00
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The Variance of a Discrete Random Variable 00:08:00
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The Binomial Distribution – Intro 00:11:00
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The Binomial Distribution Formula – Part 1 00:18:00
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The Binomial Distribution Formula – Part 2 00:07:00
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Using Excel to Solve Binomial Problems 00:08:00
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Applying the Binomial Distribution to Real-World Problems 00:06:00
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Conditional Probability with the Binomial Distribution 00:06:00
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The Poisson Distribution – Intro 00:07:00
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Using Excel to Solve Poisson Problems 00:09:00
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Applying the Poisson Distribution Real-World Problems 00:08:00
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Conditional Probability with the Poisson Distribution 00:06:00
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The Geometric Distribution 00:09:00
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Expectation and Variance of Distributions 00:08:00
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Approximating the Binomial Distribution with the Poisson Distribution 00:06:00
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Derivation of the Poisson Formula 00:13:00
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What is a Continuous Distribution? 00:13:00
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The Normal Distribution – Intro 00:12:00
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Calculating Probabilities with the Normal Distribution 00:14:00
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The Inverse Normal Distribution 00:13:00
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Z-Scores 00:11:00
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Finding Unknown Means and Standard Deviations 00:10:00
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Conditional Probability with the Normal Distribution 00:10:00
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Normal Approximations to Binomial Distributions – Part 1 00:13:00
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Normal Approximations to Binomial Distributions – Part 2 00:08:00
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Normal Approximations to Poisson Distributions
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The Central Limit Theorem 00:22:00
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The Limitations of the Central Limit Theorem 00:09:00
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Continuous Random Variables – Probability Density Functions 00:14:00
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Continuous Random Variables – Cumulative Distribution Functions 00:11:00
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Continuous Random Variables – Expectation and Variance 00:09:00
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Continuous Random Variables – Medians and Quartiles 00:09:00
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