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The basic statistics you must learn for a solid career in Data Science
Updated on Sep, 2026
Programming, Data Science, Maths & Statistics
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Data Science has become a key industry driver in the global job and opportunity market. A career in Data Science is something that many people are aspiring and preparing for. Statistics forms the backbone of Data Science. To become a data scientist it is essential to learn the techniques involved in data handling, data interpretation and data analysis. In short as a data scientist we need to make sense of the data that we have and find the inherent meaning. This course is designed by global subject experts for enthusiasts to give a 360-degree coverage of Statistics that lies at the core of Data Science. The course will help people learn the essential skills for data analysis, as well as help them solve complex business problems. This is an ideal course for the people who want to make it big into Data Science as a whole.
This course is also highly recommended for students of standard 12 to graduation who are majoring in Statistics, Mathematics or any tech-based subject. Each and every topic in this Spotle compact course has been explained with multiple examples.
At the end of each topic, quizzes have been added to help you test your understanding of the subject. Each quiz question has been explained in detail.
Basic statistics - measuring central tendency, skewness and kurtosis
Data visualization using Python
Missing data imputation
The concepts of statistical estimation, test of hypothesis, normality test, contingency table Chi-square test explained through detailed videos
To conduct statistical tests with real-life examples
All concepts through exercises solved problems
Check out the detailed breakdown of what’s inside the course
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