Skip to main content

Contact

   Enter Name
   Enter E-mail
  

Comments

Popular posts from this blog

What is Data Science

Learn Data Science - Introduction Introduction to Data Science History The field of data science has its roots in statistics and computer science and has evolved to encompass a wide range of techniques and tools for understanding and making predictions from data. The history of data science can be traced back to the early days of statistics when researchers first began using data to make inferences and predictions about the world. In the 1960s and 1970s, the advent of computers and the development of new algorithms and statistical methods led to a growth in the use of data to answer scientific and business questions. The term "data science" was first coined in the early 1960s by John W. Tukey, a statistician and computer scientist . In recent years, the field of data science has exploded in popularity, thanks in part to the increasing availability of data from a wide range of sources, as well as advances in computational power and machine learning. Today, data science is us...

What is Data Visualization and Communication

Data Visualization Principles and Tools Content of  Data Visualization   : Data Visualization Principles Storytelling with Data Data Reporting and Dashboards Data Visualization Tools (Tableau, PowerBI) Data visualization is a critical aspect of data science that involves creating visual representations of data to facilitate understanding, communication, and decision-making. Effective data visualization requires a solid understanding of visualization principles, storytelling, and data reporting. Data Visualization Principles: Some fundamental principles of data visualization include: Clarity : The visualization should be clear and easy to understand. Simplicity : The visualisation should be straightforward and free of extraneous detail Accuracy : The visualization should accurately represent the underlying data. Consistency : The visualization should use consistent visual cues to represent different types of data. Context : The visualization should provide...

What is the Probability and Statistics

Undrstand the Probability and Statistics in Data Science Contents of P robability and Statistics Probability Basics Random Variables and Probability Distributions Statistical Inference (Hypothesis Testing, Confidence Intervals) Regression Analysis Probability Basics Solution :  Sample Space = {H, T} (where H stands for Head and T stands for Tail) Solution :  The sample space is {1, 2, 3, 4, 5, 6}. Each outcome is equally likely, so the probability distribution is: Hypothesis testing involves making a decision about a population parameter based on sample data. The null hypothesis (H0) is the hypothesis that there is no significant difference between a set of population parameters and a set of observed sample data. The alternative hypothesis (Ha) is the hypothesis that there is a significant difference between a set of population parameters and a set of observed sample data. The hypothesis testing process involves the following steps: Formulate the null and al...