Probability & Statistics for Business & Data Science udemy course free download
What you'll learn:
- FAQ related to interview questions in your career .
- Four main things you should know them in business analysis and data analysis
- Descriptive statistics with collection of important quizzes and examples .
- Normal distribution and standard normal in details using Z table .
- Sampling distribution with practical simulation apps and answering of important technical questions .
- Confidence level and Confidence interval .
- what is t distribution ? ( with examples )
- HYPOTHESIS TESTING
- One sample mean t test .
- Two sample means t test .
- How to calculate P value using manual and direct method ?
- What is after data analysis ?
- TWO PROJECTS related to hypothesis testing
- Null hypothesis and alternative hypothesis .
- What is P value ?
- Data types and Why we need to study data types ?
- What is Type one error ?
- Relationship between Type one error and Alpha ( non confident probability )
- Is Normal distribution and t distributions are cousins ?
- Projects like Estimation of goals in premier league ( using confidence interval ) , and more .. and more to learn it
- Ice Cola example with student’s t distribution .
- Help fisherman to catch Tuna using sampling distribution
- What is “double edged sword of statistics” ?
- Is programming something mandatory to learn data analysis and business analysis ?
- Which programming languages i should start with it ?
- Practical significance versus statistical significance , and more to learn .. and more to learn it
Requirements::
- Definitely no experience is required
- I will start from level ZERO and gradually step by step i will make you in advanced level .
- All i need from you is to be patient when learning and i’m sure you will love statistics and apply it in your real life
Description:
This is a course for people who want to use statistics to make better business and data science decisions. In the course I cover all the foundational concepts needed to begin your journey in data science, business analytics, or any area in which you need to use data to understand the world. No prior knowledge of the subject is assumed, and you'll need nothing more than basic arithmetic and a desire to learn to get everything from this course.
I make statistics understandable and usable, particularly if you are new to the field, or have not used statistics in a meaningful way in business or data science previously. This is an excellent start!
The course is hands on and practical, with a focus on showing you how to use the skills taught. Wherever possible, I show you how to implement the techniques in Microsoft Excel.
Key concepts taught in the course include:
· Descriptive Statistics - the nuts and bolts needed when analyzing and working with data, from averages to measures of spread and correlation, to more advanced measures such as skew.
· Cleaning Data - the world sometimes gives us messy data, and I'll show you how to clean it up and make sense of it.
· Visualizing Data - I'll show you all the standard ways to usefully visualize your data, and in each case show you how to use Excel to create beautiful visualizations.
· Probability - I'll teach you all the fundamentals of probability, up to and including conditional probability and an intro to Bayesian statistics.
As always, if you ever have questions about the content I'm waiting in the Q&A to help you out, and try to answer all my students questions.
I really hope you enjoy this course!
Woody
Who this course is for:
- People who want to use statistics to make better decisions.
Course Details:
- 5.5 hours on-demand video
- 8 articles
- 8 downloadable resources
- Full lifetime access
- Access on mobile and TV
- Assignments
- Certificate of completion