This course will take you from basics of Statistics to more high level view of Statistical computations. This course is for you if you are just getting started with Data Science or Machine Learning and you need to understand the nitty gritty of all the statistical calculations being used in these fields.
We will start with the big picture of what Statistics is, graphical representations of Data, the measures of Central Tendency and Measures of Dispersion and lastly the coefficient of variations.
Note that this course will not be talking about descriptive statistics though some use cases of the concepts will be discussed where necessary.
In this course I will be taking you through all the nitty gritty and foundational concepts of statistics that you will need to establish a career in data science and machine learning. This course will prepare you with statistical calculations, graphical representations of data and how to make meaning of these graphs.
At the end of this course, you will know how to represent data graphically in different forms, how to determine the measures of central tendency and dispersions for a giving set of data and how to know which operation is to be performed when giving some set of data.
This is the right course for you if you are new to data science and you want to understand the principles behind different formulas or calculations you will come across in your data science journey.

–
SKILLS YOU WILL GAIN
Learn skills like Mathematics and Statistics
Learn skills like Data Representation
Learn skills like Data Processing
WHAT YOU WILL LEARN
Students will be have full knowledge of the core statistics needed for Data Science
Define the right operations to be performed on a set of data and carry out the mathematics behind those operations