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.
Do visit to enroll all courses  https://www.questpond.com/pythonrprogrammingmathsfordatascience/cid21
Course Curriculum

PreviewLab 1 : What is Data science? (9:00)

StartLab 2  Explain Descriptive Stats, Spread, Outlier and Quartiles in Data Science. (17:06)

StartLab 3  Standard Deviation, Normal Distribution & Emprical Rule. (18:24)

StartLab 4  The ZScore Calculation. (10:52)

StartLab 5  Explain Binomial Distribution. (13:56)