13.02.2025
Statistics popular
with
Iliya Valchanov
Start your data analysis journey by laying a solid foundation: learn statistics and harness the power of data-driven decision-making
5 hours of content
102214 students
$99.00
Lifetime access
14-Day Money-Back Guarantee
What you get:
- 5 hours of content
- 96 Interactive exercises
- 78 Downloadable resources
- World-class instructor
- Closed captions
- Q&A support
- Future course updates
- Course exam
- Certificate of achievement
Statistics popular
A course by
Iliya Valchanov
$99.00
Lifetime access
14-Day Money-Back Guarantee
What you get:
- 5 hours of content
- 96 Interactive exercises
- 78 Downloadable resources
- World-class instructor
- Closed captions
- Q&A support
- Future course updates
- Course exam
- Certificate of achievement
$99.00
Lifetime access
$99.00
Lifetime access
14-Day Money-Back Guarantee
What you get:
- 5 hours of content
- 96 Interactive exercises
- 78 Downloadable resources
- World-class instructor
- Closed captions
- Q&A support
- Future course updates
- Course exam
- Certificate of achievement
What You Learn
- Understand the fundamentals of statistics
- Gain strong quantitative skills that will help you learn advanced concepts
- Distinguish between the diverse types of data and levels of measurement
- Calculate confidence intervals and make informed decisions
- Deliver definitive answers to business questions with hypothesis testing
Top Choice of Leading Companies Worldwide
Industry leaders and professionals globally rely on this top-rated course to enhance their skills.
Course Description
Learn for Free
![What does the course cover](https://cf-images.eu-west-1.prod.boltdns.net/v1/jit/6258000438001/987bb8b2-42b4-4929-91c4-6d4c6c169c16/main/1280x720/1m40s171ms/match/image.jpg)
1.1 What does the course cover
3 min
![Population vs sample](https://cf-images.eu-west-1.prod.boltdns.net/v1/jit/6258000438001/4c07ecfd-9081-43e1-958d-baad81ad4fef/main/1280x720/2m1s103ms/match/image.jpg)
1.2 Population vs sample
4 min
![Types of data and levels of measurement](https://cf-images.eu-west-1.prod.boltdns.net/v1/jit/6258000438001/46285264-2c7a-4b74-9d71-22b757f8a498/main/1280x720/2m16s649ms/match/image.jpg)
2.1 Types of data and levels of measurement
5 min
![Levels of measurement](https://cf-images.eu-west-1.prod.boltdns.net/v1/jit/6258000438001/82253c8b-f62a-406e-98e8-3849628ef994/main/1280x720/1m51s885ms/match/image.jpg)
2.2 Levels of measurement
4 min
![Categorical Variables. Visualization techniques](https://cf-images.eu-west-1.prod.boltdns.net/v1/jit/6258000438001/f1ba4bdd-c00a-48fd-9e93-ddaf1df83dae/main/1280x720/2m26s402ms/match/image.jpg)
2.4 Categorical Variables. Visualization techniques
5 min
![Numerical Variables. Frequency distribution table](https://cf-images.eu-west-1.prod.boltdns.net/v1/jit/6258000438001/6b1fcaeb-ef0c-40d3-bddc-5f597dabc505/main/1280x720/1m34s958ms/match/image.jpg)
2.5 Numerical Variables. Frequency distribution table
3 min
Interactive Exercises
Practice what you've learned with coding tasks, flashcards, fill in the blanks, multiple choice, and other fun exercises.
Practice what you've learned with coding tasks, flashcards, fill in the blanks, multiple choice, and other fun exercises.
![fill-blank-selection exercise](https://365datascience.com/resources/assets/images/fill-blank-selection.webp)
![order exercise](https://365datascience.com/resources/assets/images/order.webp)
![categorize exercise](https://365datascience.com/resources/assets/images/categorize.webp)
![true-false exercise](https://365datascience.com/resources/assets/images/true-false.webp)
![single-choice exercise](https://365datascience.com/resources/assets/images/single-choice.webp)
![multiple-choice exercise](https://365datascience.com/resources/assets/images/multiple-choice.webp)
![flashcards exercise](https://365datascience.com/resources/assets/images/flashcards.webp)
![fill-blank-typing exercise](https://365datascience.com/resources/assets/images/fill-blank-typing.webp)
Curriculum
- 2. Descriptive Statistics Fundamentals13 Lessons 64 MinHere, you will learn how to distinguish between the different types of data and levels of measurement. This will help you when calculating the measures of central tendency (mean, median, and mode) and dispersion indicators such as variance and standard deviation, as well as measures of the relationship between variables like covariance and correlation. To reinforce what you have learned, we will wrap up this section with a hands-on practical example.Types of data and levels of measurement5 minLevels of measurement4 minCategorical Variables. Visualization techniques5 minNumerical Variables. Frequency distribution table3 minThe histogram2 minCross table and scatter plot5 minMean, median, mode4 minSkewness3 minVariance6 minStandard deviation and coefficient of variation5 minCovariance3 minCorrelation3 minPractical Example - Descriptive Statistics16 min
- 3. Inferential Statistics Fundamentals7 Lessons 22 MinIn this section, you will learn what a distribution is and what characterizes the normal distribution. We will introduce you to the central limit theorem and to the concept of standard error.Introduction1 minWhat is a distribution5 minThe Normal Distribution4 minThe Standard Normal Distribution4 minCentral limit theorem4 minStandard error1 minEstimators and estimates3 min
- 4. Confidence Intervals11 Lessons 55 MinHere, you will learn how to calculate confidence intervals with known population and variance. We will introduce the Student T distribution, and you will learn how to work with smaller samples, as well as differences between two means (with dependent and independent samples). These tools are fundamental later on when we start applying each of these concepts to large datasets and use coding languages like Python and R. To reinforce what you have learned, we will wrap up this section with an easy-to-understand practical example.Definition of confidence intervals3 minPopulation variance known, z-score8 minConfidence Interval Clarifications5 minStudent's T Distribution3 minPopulation variance unknown, t-score5 minMargin of error5 minConfidence intervals. Two means. Dependent samples6 minConfidence intervals. Two means. Independent samples (Part1)5 minConfidence intervals. Two means. Independent samples (Part2)4 minConfidence intervals. Two means. Independent Samples (Part 3)1 minPractical Example - Confidence Intervals10 min
- 5. Hypothesis testing11 Lessons 55 MinIn this section, you will learn how to perform hypothesis testing, as well as the difference between a null and alternative hypothesis. We will discuss rejection and significance levels, and type I and type II errors. The lessons will teach you how to test for the mean when the population variance is known and unknown, as well as how to test for the mean when you are dealing with dependent and independent samples. You will also become familiar with the p-value. To consolidate the new knowledge, we will conclude with a practical example.Null vs Alternative6 minFurther Reading on Null and Alternative Hypothesis Read now2 minRejection region and significance level7 minType I error vs type II error4 minTest for the mean. Population variance known7 minp-value4 minTest for the mean. Population variance unknown5 minTest for the mean. Dependent samples5 minTest for the mean. Independent Samples (Part 1)4 minTest for the mean. Independent Samples (Part 2)4 minPractical Example - Hypothesis Testing7 min
Topics
TheoryData AnalysisExcelMath & Statistics
Course Requirements
- No prior experience or knowledge is required. We will start from the basics and gradually build your understanding. Everything you need is included in the course
Who Should Take This Course?
Level of difficulty: Beginner
- People who want to improve their quantitative skills
- Aspiring data analysts, data scientists, business analysts
- Graduate students who need statistics for their studies
- Business executives who are passionate about data-driven decision-making
Exams and Certification
A 365 Data Science Course Certificate is an excellent addition to your LinkedIn profile—demonstrating your expertise and willingness to go the extra mile to accomplish your goals.
![Exams and certification](https://365datascience.com/resources/assets/images/exams-and-certification-ds.webp)
Meet Your Instructor
![Iliya Valchanov](https://365datascience.com/resources/team/xvs2rs0yn6-iliya.jpg)
Iliya Valchanov is a co-founder of 365 Data Science and 3veta. He is a Finance graduate with a wide range of expertise in the fields of mathematics, statistics, programming, machine learning, and deep learning. In his courses, Iliya shares his extensive experience in predictive modeling, complex analysis techniques, and optimization algorithms. He has a BA in International Economics, Management and Finance from Bocconi University, where he was Founder and President of the Bocconi Students Mathematics and Logics Association. In 2016, he created his first online course (Statistics) and realized he enjoyed the process of content creation so much that he co-founded 365 Data Science together with a group of friends from university.
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