Median: It is the central value in the ordered data set.Mean: It is the average value of the data set column.There are different ways to measure the central tendency: The central tendency of a data set is a single value that describes the complete data by the identification of a central value.
BASIC DATA PROFESSIONAL
Professional Certificate Program in Data Science and Business Analytics from University of Maryland Master of Science in Data Science from University of ArizonaĪdvanced Certificate Programme in Data Science from IIITB Professional Certificate Program in Data Science for Business Decision Making
Conditional probability is the probability of occurrence of any event having a relationship with any other event.Įxecutive Post Graduate Programme in Data Science from IIITB Independent events are the two or more occurrences of an event that are independent of each other. There are different types of probability, depending upon the type of event. The higher the value, the event is more likely to happen. Probability is a number whose value lies between 0 and 1. As an example, a toss of a coin predicts the probability of getting a red ball from a bag of colored balls.
Probability is the mathematical branch that determines the likelihood of occurrence of any event in a random experiment. Inferential statistics, on the other hand, help in finding insights from data analysis. It is different from inferential statistics as it helps to visualize the data in a meaningful way in the form of plots. Descriptive statistics offers a way to visualize the data to present it in a readable and meaningful way. Descriptive Statisticsĭescriptive statistics help to analyze the raw data to find the primary and necessary features from it. īelow are the basic Statistics concepts that a Data Scientist should know: 1. The descriptive statistics and knowledge of probability are must-know data science concepts. This can be inferred from the fact that statistics help to interpret and organize data. Data scientists must know the statistics very well. Statistics is a broad field that offers many applications. Statistics make a central part of data science. Statistics Concepts Needed for Data Science What are the professions which can be opted by data science learners?.What is the importance of machine learning in Data Science?.Explore our Popular Data Science Courses.Top Data Science Skills to Learn in 2022.Statistics Concepts Needed for Data Science.Along with popular list methods, we will also see list extension, removal, reversing, sorting, min and max, existence check, list looping, slicing, and also inter-conversion of lists and strings. For lists, we will try different assignments, access, and slicing options. Then we will proceed with basic data structures in python like Lists tuples and set. Also, we will check the order of operations, increments, and decrements, rounding values, and typecasting. The operations include basic ones and also advanced ones like exponents. We will deal with different types of ways to assign and access strings, string slicing, replacement, concatenation, formatting, and strings.ĭealing with numbers, we will discuss the assignment, accessing, and different operations with integers and floats.
BASIC DATA HOW TO
In this course, we will learn step by step with starting with basics understanding of jupyter notebook and how to write a code in jupyter notebookĪnd understanding every function of jupyter notebook then we will learn basic pythons such as Then we will go ahead with the basic python data types like strings, numbers, and its operations. This course will teach the basics of Python Data Structures and the most important Data Science libraries like NumPy and Pandas with step-by-step examples! Welcome to my course Basics Data Science with Numpy, Pandas, and Matplotlib
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