Statistics for Data Science and Business Analysis

Are you interested in working as a Marketing Analyst, Business Intelligence Analyst, Data Analyst, or Data Scientist? And you wish to learn the necessary mathematical abilities for the job? Then you've arrived to the right location! You can use Statistics for Data Science and Business Analysis. (includes TEMPLATES in Excel). This is where you should begin. And it's an excellent start!

It's no secret that a lot of these topics have been thoroughly discussed on the internet. Hundreds of times. It is, however, nearly impossible to find an organized program that explains why specific statistical tests are utilized so frequently. Although modern software packages and computer languages automate the majority of these tasks, this course provides you with something much more valuable: critical thinking skills. Computers and programming languages function similarly to ships at sea. They are excellent vessels that will transport you to your intended location; nevertheless, it is up to you, the aspiring data scientist or BI analyst, to navigate and steer them in the appropriate direction.

For several months, the authors worked full-time to build the greatest possible Statistics course that will provide the most value to you. Because the writers want you to succeed, the course is designed to be as interesting as possible. Subscribing will provide you high-quality animations, excellent course materials, quiz questions, handouts, and course notes, as well as a glossary with all new terms you'll learn.

Please keep in mind that Udemy's 30-day unconditional money-back guarantee applies to this course. What's the harm in providing such a guarantee? This course will undoubtedly be beneficial to you.

What you will learn

• Knowing the principles of statistics is essential.
• Learn how to deal with various forms of data.
• How to visualize various sorts of data
• Calculate the central tendency, asymmetry, and variability metrics.
• Correlation and covariance should be calculated.
• Differentiate between different sorts of distributions and deal with them.
• Calculate the confidence intervals.
• Confirm your hypothesis.
• Make decisions based on data.
• Recognize how regression analysis works.
• Execute a regression analysis
• Dummy variables should be used and understood.
• Even with Python and R, you can grasp the ideas required for data science!

Who this course is for

• People who want a career in Data Science
• People who want a career in Business Intelligence
• Business analysts
• Business executives
• Individuals who are passionate about numbers and quant analysis
• Anyone who wants to learn the subtleties of Statistics and how it is used in the business world
• People who want to start learning statistics
• People who want to learn the fundamentals of statistics

Requirements

• It is not necessary to have any prior experience.
• A willingness to learn and put what you've learned into practice

Instructor: 365 Careers

Udemy rate: 4.5/5.0 (31,433 ratings)

Enroll here: https://www.udemy.com/course/statistics-for-data-science-and-business-analysis/