Introduction to Statistics | 365 Data Science Courses

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.

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.

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.

#Statistics #Data #DataScience

[eristonmansambu]

This is the best course on statistics I've ever followed in my life. An hour-long course which taught me so much. Thank you very much♥️

[swatikarot]

Practical example is the best part. It gives info which is absent on many other Youtube content. Thanks for putting this together.

[pranavshukla]

This is one of the best videos I've come across to understand the basics of descriptive statistics!!

[jeebrains]

This is the best statistics lesson i have ever had throughout my Datascience learning career. Thank you Iliya and 365Data science Team.

[mohdhammadkhan]

This video consist of 2 section out of total 5!
Thanks for providing free offer. Currently learning from that 🙂

[jdmartinezcobar]

Best teacher ever. Thank you very much.

[mohammadmohagheghfaghih]

Wow, such a wonderful lecture. Thanks

[Storygospel]

What should a person focus on after this video, when considering statistical analysis of data?

[sherif]

Great tutorial, even for a rokkie like me. Thank you

[shehrozebahadar]

Sir upload plzz mathemathics for data science full course