Overview

StatisticsYou need to think like a scientist before you can become a scientist. Statistics trains your mind to frame problems as hypotheses and gives you techniques to test these hypotheses, just like a scientist.MathematicsLearning the tools is the first step to doing data science. You must first see the big picture to then examine the parts in detail.We take a detailed look specifically at calculus and linear algebra as they are the subfields data science relies on.Why learn it?Probability, Calculus and linear algebra are essential for programming in data science. If you want to understand advanced machine learning algorithms, then you need these skills in your arsenal.Advanced StatisticsRegressions, clustering, and factor analysis are all disciplines that were invented before machine learning. However, now these statistical methods are all performed through machine learning to provide predictions with unparalleled accuracy. This section will look at these techniques in detail.Main features of this course:Provides you the complete package to be comfortable using statistics and analyzing dataCovers all stages of data analysis processVery easy to understandNo complicated equationsPlain English instead of multiple statistical termsPractical, with mobile shopping case studyExercises and quizzes to help you master data analysis and statisticsUpon completion of this course, you'll be ready to apply what you've learned to excel in your statistics classes and make smarter business decisionsWho this course is for:Professionals desiring to augment their statistical & mathematical skillsAnyone seeking to increase their data analytics capabilityTestimonials:This course is very informative and taught by an excellent instructor. Really loved it. It is very easy to understand for absolute beginners like me. It could be a little problematic for native English speakers, because the instructor is not a native English speaker but otherwise it is worth it. I am looking forward to learn more from this particular instructor. Have a great day guys. ~ Jensen JacobGreat ways of giving examples to help visualising each piece in the puzzle of statistics is going to place. ~ Ngoc Bao Tran Nguyenamazing ~ Ahmed Mohamed Aboelyazied

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