Introduction to Statistics | 365 Data Science Courses

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Statistics is the driving force in any quantitative career. It is the fundamental skill data scientists need to be able to understand and design statistical tests and analyses performed by modern software packages and programming languages. In this course, we start from the very basics of statistics and gradually build up your statistical thinking, enabling you to understand the more complex analyses carried out later in the program.

Sign up and continue the course here: https://bit.ly/3B2iIgc

Video Timestamps:

0:00 What does the course cover?

02:20 Population vs Sample

06:23 Types of data and levels of measurement

10:55 Levels of measurement

14:27 Categorical variables. Visualization techniques

19:00 Numerical variables. Frequency distribution table

22:10 The histogram

24:24 Cross table and scatter plot

29:02 Mean, median, mode

33:15 Skewness

35:53 Variance

41:46 Standard deviation and coefficient of variation

46:27 Covariance

49:49 Correlation

53:08 Practical Example

We will discuss why you need to learn statistics, and which are the key skills you will acquire by taking the course. 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.

Also, 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.

► Consider hitting the SUBSCRIBE button if you LIKE the content: https://www.youtube.com/c/365DataScience?sub_confirmation=1

►VISIT our website: https://bit.ly/365ds

? Connect with us LinkedIn: https://www.linkedin.com/company/365datascience/

365 Data Science is an online educational career website that offers the incredible opportunity to find your way into the data science world no matter your previous knowledge and experience. We have prepared numerous courses that suit the needs of aspiring BI analysts, Data analysts and Data scientists.

We at 365 Data Science are committed educators who believe that curiosity should not be hindered by inability to access good learning resources. This is why we focus all our efforts on creating high-quality educational content which anyone can access online.

Check out our Data Science Career guides: https://www.youtube.com/playlist?list=PLaFfQroTgZnyQFq4nUfb-w2vEopN3ULMb

#Statistics #Data #DataScience

?? Sign up for Our Complete Data Science Training with 57% OFF: https://bit.ly/3jcZCy8

Statistics is the driving force in any quantitative career. It is the fundamental skill data scientists need to be able to understand and design statistical tests and analyses performed by modern software packages and programming languages. In this course, we start from the very basics of statistics and gradually build up your statistical thinking, enabling you to understand the more complex analyses carried out later in the program.

Sign up and continue the course here: https://bit.ly/3B2iIgc

Video Timestamps:

0:00 What does the course cover?

02:20 Population vs Sample

06:23 Types of data and levels of measurement

10:55 Levels of measurement

14:27 Categorical variables. Visualization techniques

19:00 Numerical variables. Frequency distribution table

22:10 The histogram

24:24 Cross table and scatter plot

29:02 Mean, median, mode

33:15 Skewness

35:53 Variance

41:46 Standard deviation and coefficient of variation

46:27 Covariance

49:49 Correlation

53:08 Practical Example

We will discuss why you need to learn statistics, and which are the key skills you will acquire by taking the course. 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.

Also, 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.

► Consider hitting the SUBSCRIBE button if you LIKE the content: https://www.youtube.com/c/365DataScience?sub_confirmation=1

►VISIT our website: https://bit.ly/365ds

? Connect with us LinkedIn: https://www.linkedin.com/company/365datascience/

365 Data Science is an online educational career website that offers the incredible opportunity to find your way into the data science world no matter your previous knowledge and experience. We have prepared numerous courses that suit the needs of aspiring BI analysts, Data analysts and Data scientists.

We at 365 Data Science are committed educators who believe that curiosity should not be hindered by inability to access good learning resources. This is why we focus all our efforts on creating high-quality educational content which anyone can access online.

Check out our Data Science Career guides: https://www.youtube.com/playlist?list=PLaFfQroTgZnyQFq4nUfb-w2vEopN3ULMb

#Statistics #Data #DataScience

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