Statistics popular

with Iliya Valchanov
4.8/5
(5,202)

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 98530 students

$99.00

Lifetime access

Buy now
14-Day Money-Back Guarantee

What you get:

  • 5 hours of content
  • 98 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

Buy now
14-Day Money-Back Guarantee

What you get:

  • 5 hours of content
  • 98 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

Buy now
14-Day Money-Back Guarantee

What you get:

  • 5 hours of content
  • 98 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

Statistics puts the “scientist” in data scientist. It is the driving force in any quantitative career, providing the foundational skills necessary for data analysis. This is the perfect statistics course that will help you understand how to design statistical tests and analyse data using modern software packages and programming languages. We start from the very basics and gradually build your statistical thinking. This foundational knowledge prepares you to tackle increasingly complex topics as you advance in your data journey. Don’t spend hundreds of hours reading textbooks and trying to learn statistics on your own. It doesn’t get any better if you rely on statistics tutorials from YouTube. Our course is the perfect tool to acquire invaluable knowledge that will make statistics easy for you. The step-by-step tutorials we have prepared alongside interactive exercises with statistical formulas and symbols will help you master statistics in several hours. This Statistics course stands out because it gives easy to understand practical examples and allows you to test what you have learned after each lesson. This formula has proven extremely successful as hundreds of thousands of users around the world have chosen this course to learn statistics and have expressed their satisfaction. This statistics course is suitable for university students who need statistics for their studies. It is also highly recommended for graduates and young professionals who want to improve their quantitative skills. Even if you lack any quantitative skills and haven’t learned statistics before, don’t worry. This intro to statistics course is designed to guide you from the ground up. There are hundreds of Statistics courses on the internet, but this is one of the most popular ones. The course instructor Iliya Valchanov teaches statistics for data science and business in a friendly way that is easy to understand and the interactive exercises throughout the course allow you to reinforce what you have learned. At the end of all major sections of the Statistics course, the author will solve a practical case study alongside you, helping you understand how to apply in practice the concepts you have just learned in the lessons. Join us on a journey that will introduce you to the different types of data, the measures of central tendency, and data variability. Gain the quant skills to use inferential statistics and work with the normal distribution. Calculate confidence intervals and perform hypothesis tests to get an introduction to the core principles of data-driven decision-making. How is this online Statistics course different than the rest? 1. Content quality Experience structured learning with a step-by-step approach. Our key strength lies in making complex topics accessible and easy to understand. It can’t be overstated how important is to make the course lectures and your entire learning journey fun and exciting. The instructor does not simply introduce you to statistics theory and rules, they effectively demonstrate how to apply statistics in practical scenarios. By leveraging compelling storytelling and drawing on real-world experiences, they ensure that you gain a solid understanding of the subject. 2. One of the most popular Statistics courses online This statistics training is a definite bestseller in the field and has been taken by hundreds of thousands of students around the world. This means that if you choose to learn with us, you will be in good hands. 3. Downloadable materials Gain access to valuable statistics templates you can use as a reference at any point of your career. In addition, the course comes with a full set of downloadable materials – complete statistics course notes, flashcards with key terms, practice exercises, course exams – everything is included inside. 4. Certificate of achievement If you compete the Statistics course and pass successfully its course exam, you will be awarded a verifiable certificate of achievement, which is a testament to your dedication and hard work. Click the ‘Buy now’ button and start this amazing learning journey today! Make an investment to acquire quant skills that could change your entire career.

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What does the course cover

1.1 What does the course cover

3 min

Population vs sample

1.2 Population vs sample

4 min

Types of data and levels of measurement

2.1 Types of data and levels of measurement

5 min

Levels of measurement

2.2 Levels of measurement

4 min

Categorical Variables. Visualization techniques

2.4 Categorical Variables. Visualization techniques

5 min

Numerical Variables. Frequency distribution table

2.5 Numerical Variables. Frequency distribution table

3 min

Curriculum

  • 1. Introduction
    2 Lessons 7 Min

    In this part of the course, we will discuss why you need to learn statistics, and which are the key skills you will acquire by taking the course.

    What does the course cover
    3 min
    Population vs sample
    4 min
  • 2. Descriptive Statistics Fundamentals
    13 Lessons 64 Min

    Here, 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 measurement
    5 min
    Levels of measurement
    4 min
    Categorical Variables. Visualization techniques
    5 min
    Numerical Variables. Frequency distribution table
    3 min
    The histogram
    2 min
    Cross table and scatter plot
    5 min
    Mean, median, mode
    4 min
    Skewness
    3 min
    Variance
    6 min
    Standard deviation and coefficient of variation
    5 min
    Covariance
    3 min
    Correlation
    3 min
    Practical Example - Descriptive Statistics
    16 min
  • 3. Inferential Statistics Fundamentals
    7 Lessons 22 Min

    In 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.

    Introduction
    1 min
    What is a distribution
    5 min
    The Normal Distribution
    4 min
    The Standard Normal Distribution
    4 min
    Central limit theorem
    4 min
    Standard error
    1 min
    Estimators and estimates
    3 min
  • 4. Confidence Intervals
    11 Lessons 55 Min

    Here, 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 intervals
    3 min
    Population variance known, z-score
    8 min
    Confidence Interval Clarifications
    5 min
    Student's T Distribution
    3 min
    Population variance unknown, t-score
    5 min
    Margin of error
    5 min
    Confidence intervals. Two means. Dependent samples
    6 min
    Confidence intervals. Two means. Independent samples (Part1)
    5 min
    Confidence intervals. Two means. Independent samples (Part2)
    4 min
    Confidence intervals. Two means. Independent Samples (Part 3)
    1 min
    Practical Example - Confidence Intervals
    10 min
  • 5. Hypothesis testing
    11 Lessons 55 Min

    In 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 Alternative
    6 min
    Further Reading on Null and Alternative Hypothesis Read now
    2 min
    Rejection region and significance level
    7 min
    Type I error vs type II error
    4 min
    Test for the mean. Population variance known
    7 min
    p-value
    4 min
    Test for the mean. Population variance unknown
    5 min
    Test for the mean. Dependent samples
    5 min
    Test for the mean. Independent Samples (Part 1)
    4 min
    Test for the mean. Independent Samples (Part 2)
    4 min
    Practical Example - Hypothesis Testing
    7 min

Topics

Theorydata analysisExcel

Tools & Technologies

excel

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

Meet Your Instructor

Iliya Valchanov

Iliya Valchanov

Co-founder at

7 Courses

26555 Reviews

417254 Students

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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