Statistics and Probability form the core of Business Analytics, widely used to analyze, visualize, interpret data and discover insights
Classes : 30 Days : 3 months Duration : Weekdays / Weekends
Business owners cannot always rely on hunches, instincts and lucky guesses to survive and thrive. In a competitive business environment, the mathematical tools offered in statistics & probability analysis can show managers the most likely outcomes and most profitable paths. Probability analysis features formulas that business owners can employ in a controlled manner to anticipate potential results.
Probability and Statistics are two intertwined topics that smoothen one's path to becoming a Business Analytics Pro. Both are the primary prerequisites to learn and interpret Analytics. Statistics simply means numerical data, and is field of maths that generally deals with collection of data, tabulation, and interpretation of numerical data. Most people have an intuitive understanding of degrees of probability, which is why we use words like "probably" and "unlikely" in our daily conversation, but we will talk about how to make quantitative claims about those degrees using the theories of Probability.
During the training, we shall expose the students to Python for executing and solving the Maths problems. It is imperative that Managers are hands on with Python to get the full potential of this training.
This specialization aims to bridge the gap, getting you up to speed in the underlying mathematics, building an intuitive understanding, and relating it to Machine Learning and Data Science. At the end of this specialization you will have gained the prerequisite mathematical knowledge to continue your journey and take more advanced courses in Business Analytics.
Trainer:
A Maths and Data Science expert, having more than 25 years of International experience working in EU/USA/Australia
1. Probability for Manager
:- Basic Probability
:- Joint, Marginal, and Conditional Probability
:- Probability Distributions (Discrete, Continuous)
:- Density Estimation
:- Maximum Likelihood Estimation
:- Regression with Maximum Likelihood
:- Bayes Theorem
2. Statistics for Managers
:- Basic Statistics
:- Combinatorics
:- Axioms
:- Variance and Expectation
:- Random Variables
:- Conditional and Joint Distributions
Student Reviews
Bhawana
Fabulous NLP + ML course
I have eleven plus years of experience taking training courses. I do not usually complete surveys.
Your instructor was excellent, the best I've experienced on a software subject, and I couldn't imagine him doing a better job of seamlessly walking students through a breadth of information for such complex subject like AI and ML. he did a fabulous job pacing everything and addressing student questions. I am very impressed.
Harish
Excellent ML course!
The course was well structured and easy to understand. Good pace of learning.
The institute believes to provide knowledge as well as guidance in detail to each & every student.
I completed my ML course from the institute. Their international exp does help a lot !
Thanks for the training sir.