Course overview
 Provider
 Udemy
 Course type
 Paid course
 Level
 Beginner
 Lessons
 5 lessons
 Certificate
 Available on completion
 Course author
 Shivprasad Koirala

 Fundamentals , What and Why of Data science.
 Descriptive statistics Average , Mode , Min and Max using simple Excel.
 Understanding importance of spread and finding spread using range.
 Quartile , InterQuartile , outliers, standard deviation , Normal distribution and bell curve .
 Understanding 1,2 and 3 standard deviation and applying 68,95 and 98 empirical rule.
 Finding probability of different scenarios of normal distribution.
 Calculating Z score to find the exact probability.
 Binomial distribution , exact and range probability , applying binomial distribution and rules of binomial distribution.
Description
When you talk about data science the most important thing is Statistical MATHS .
This course teaches statistical maths using simple excel. My firm belief is MATHS is 80% part of data science while programming is 20%. If you start data science directly with python , R and so on , you would be dealing with lot of technology things but not the statistical things.
I recommend start with statistics first using simple excel and the later apply the same using python and R. Below are the topics covered in this course.
Lesson 1 : What is Data science ?
Chapter 1 : What is Data science and why do we need it ?
Chapter 2: Average , Mode , Min and Max using simple Excel.
Chapter 3: Data science is Multidisciplinary.
Chapter 4: Two golden rules for maths for data science.
Lesson 2 : What is Data science ?
Chapter 4: Spread and seeing the same visually.
Chapter 5: Mean,Median,Mode,Max and Min
Chapter 6: Outlier,Quartile & InterQuartile
Chapter 7: Range and Spread
Lesson 3  Standard Deviation, Normal Distribution & Emprical Rule.
Chapter 8: Issues with Range spread calculation
Chapter 9: Standard deviation
Chapter 10: Normal distribution and bell curve understanding
Chapter 11: Examples of Normal distribution
Chapter 12: Plotting bell curve using excel
Chapter 13: 1 , 2 and 3 standard deviation
Chapter 14: 68,95 and 98 emprical rule.
Chapter 15: Understanding distribution of 68,95 and 98 indepth.
Lesson 4 : The ZScore calculation
Chapter 16: Probability of getting 50% above and 50% less.
Chapter 17: Probability of getting 20 value.
Chapter 18: Probability of getting 40 to 60.
Lesson 5  Binomial distribution
Chapter 22: Basics of binomial distribution.
Chapter 23: Calculating existing probability from history.
Chapter 24: Exact vs Range probability.
Chapter 25: Applying binomial distribution in excel.
Chapter 26: Applying Range probability.
Chapter 27: Rules of Binomial distribution.
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