Statistics for Data Science and Business Analysis

Statistics you need in the office: Descriptive & Inferential statistics, Hypothesis testing, Regression analysis


What you'll learn
Understand the fundamentals of statistics
Learn how to work with different types of data
How to plot different types of data
Calculate the measures of central tendency, asymmetry, and variability
Calculate correlation and covariance
Distinguish and work with different types of distributions
Estimate confidence intervals
Perform hypothesis testing
Make data driven decisions
Understand the mechanics of regression analysis
Carry out regression analysis
Use and understand dummy variables
Understand the concepts needed for data science even with Python and R!

Requirements
Absolutely no experience is required. We will start from the basics and gradually build up your knowledge. Everything is in the course.
A willingness to learn and practice

Description
Do you want to work as a Marketing Analyst, a Business Intelligence Analyst, a Data Analyst, or a Data Scientist?And you want to acquire the quantitative skills needed for the job?Well then, you’ve come to the right place! Statistics for Data Science and Business Analysis is here for you! (with TEMPLATES in Excel included) This is where you start. And it is the perfect beginning! In no time, you will acquire the fundamental skills that will enable you to understand complicated statistical analysis directly applicable to real-life situations. We have created a course that is: Easy to understand

Comprehensive

Practical

To the point

Packed with plenty of exercises and resources Data-driven

Introduces you to the statistical scientific lingo

Teaches you about data visualization

Shows you the main pillars of quant research

It is no secret that a lot of these topics have been explained online. Thousands of times. However, it is next to impossible to find a structured program that gives you an understanding of why certain statistical tests are being used so often. Modern software packages and programming languages are automating most of these activities, but this course gives you something more valuable – critical thinking abilities. Computers and programming languages are like ships at sea. They are fine vessels that will carry you to the desired destination, but it is up to you, the aspiring data scientist or BI analyst, to navigate and point them in the right direction. Teaching is our passion

We worked full-time for several months to create the best possible Statistics course, which would deliver the most value to you. We want you to succeed, which is why the course aims to be as engaging as possible. High-quality animations, superb course materials, quiz questions, handouts and course notes, as well as a glossary with all new terms you will learn, are just some of the perks you will get by subscribing. What makes this course different from the rest of the Statistics courses out there?

High-quality production – HD video and animations (This isn’t a collection of boring lectures!) Knowledgeable instructor (An adept mathematician and statistician who has competed at an international level) Complete training – we will cover all major statistical topics and skills you need to become a marketing analyst, a business intelligence analyst, a data analyst, or a data scientist Extensive case studies that will help you reinforce everything you’ve learned Excellent support - if you don’t understand a concept or you simply want to drop us a line, you’ll receive an answer within 1 business day Dynamic - we don’t want to waste your time! The instructor sets a very good pace throughout the whole courseWhy do you need these skills?

Salary/Income – careers in the field of data science are some of the most popular in the corporate world today. And, given that most businesses are starting to realize the advantages of working with the data at their disposal, this trend will only continue to grow Promotions – If you understand Statistics well, you will be able to back up your business ideas with quantitative evidence, which is an easy path to career growth Secure Future – as we said, the demand for people who understand numbers and data, and can interpret it, is growing exponentially; you’ve probably heard of the number of jobs that will be automated soon, right? Well, data science careers are the ones doing the automating, not getting automatedGrowth - this isn’t a boring job. Every day, you will face different challenges that will test your existing skills and require you to learn something new Please bear in mind that the course comes with Udemy’s 30-day unconditional money-back guarantee. And why not give such a guarantee? We are certain this course will provide a ton of value for you.