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data science mathematics for beginners

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Topics covered :-

Lesson 1 :- What is Data science and why do we need it?
Average, Mode, Min and Max using simple Excel.
Data science is Multi-disciplinary.
Two golden rules for maths for data science.

Lesson 2 :- Descriptive stats, Spread, Outlier & Quartiles
Chapter 4:- Spread and seeing the same visually.
Chapter 5:- Mean,Median, Mode, Max and Min
Chapter 6:- Outlier, Quartile & Inter-Quartile
Chapter 7:- Range and Spread

Lab 3 - Standard Deviation, Normal Distribution & Emprical Rule.
Chapter 8:- Issues with Range spread calculation
Chapter 9:- Standard deviation
Chapter 10:- Normal distrubution 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 empirical rule
Chapter 15:- Understanding distribution of 68,95 and 98 in-depth.
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.

Lab 4 - The ZScore Calculation.
Chapter 19:- Normal distribution in reality.
Chapter 20:- Importance of Z Score.
Chapter 21:- The Z score table

Lab 5 - Explain 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.
Category
EDUCATION

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