Data science with probability & statistics
Prerequisite for the course
There is no prerequisite for taking this training.Basic knowledge of any programming language will be beneficial
What if You miss a class?
You can access recording video of to your missed class on our website.
Can i attend a demo class before enrollment?
You can view our live-demo session recordings always.
Who should go for this Training?
This training of qwikmind is suited for all the professional which will be provided by trained IT professional.
What if I have more queries?
Write to us at firstname.lastname@example.org with your query and we will get back to you soon.
About The Course
Its a detailed training program on data science statitics and probability which will be provided to you by our professional IT trainers.
You will learn here detailed side-by-side view of data science statitics and probability an e.d you will get a clear idea about the places of implementation of these.
Why This Course
Data science team brings together three things: statistics, programming, and product knowledge.
Probability deals with predicting the likelihood of future events, while statistics involves the analysis of the frequency of past events
Average salary for a data scientist is $118,709 versus $64,537 for a skilled programmer.
Statistics plays and probability a central role in the data science approach.
Data science is the develop edition of statistics and mathematics, combined with programming and business logic.Statistics is a crucial component of data science
What you will learn
Core Statistics Concepts. Descriptive statistics, distributions, hypothesis testing, and regression.
Bayesian Thinking. Conditional probability, priors, posteriors, and maximum likelihood.
Intro to Statistical Machine Learning
Learn fundamentals of probability and statistics.
Learn statistics, inferential statistics, and probability theory
Programming, statistics, the data science process, data visualization, and machine learning