Statistics 101: Guiding Data Science & Analysis using Excel

Statistics 101: Guiding Data Science & Analysis using Excel - Statistics, Data Analytics, Data Science, Methods, Basics of Machine Learning, Linear Algebra

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Description

Interested in the pathway to Machine Learning? Path to Machine Learning begins with Statistics. This course is for such students! This course is for Beginners and uses Excel for Data Analysis ( Data Analysis Toolpak and Excel Functions)

The course is designed to provide the fundamentals of machine learning and deep learning. It is targeted toward newbies, scholars, students preparing for interviews, or anyone seeking to hone the data science skills necessary. In this course, we will cover the basics of machine learning, and deep learning and cover a few case studies.

This short course provides a broad introduction to machine learning, and deep learning. We will present a suite of tools for exploratory data analysis and machine learning modeling. We will get started with python and machine learning and provide case studies using keras and sklearn.

Contents:

- Measures of Central Tendency, Measures of Dispersion, Visualization

- How to create Pivot Tables

- How to enable Data Analysis Toolpak

- Contingency Tables in Excel

- Binomial Distribution and Normal Distribution in Excel

So what are you waiting for? Learn Statistics and Data Analysis in a way that will enhance your knowledge and improve your career!

Thanks for joining the course. I am looking forward to seeing you. let's get started!

Who this course is for:

• Machine learning enthusiasts, scholars or anyone seeking to hone the data science skills necessary
• Beginner and intermediate developers interested in data science.

Statistics for Business Analytics and Data Science A-Z™

Statistics for Business Analytics and Data Science A-Z™, Learn The Core Stats For A Data Science Career. Master Statistical Significance, Confidence Intervals And Much More!

• Created by Kirill Eremenko, SuperDataScience Team
•  English
•  English [Auto-generated], Spanish [Auto-generated]
• 7 hours on-demand video
• 2 articles
• Full lifetime access
• Access on mobile and TV
• Certificate of Completion

What you'll learn

• Understand what a Normal Distribution is
• Understand standard deviations
• Explain the difference between continuous and discrete variables
• Understand what a sampling distribution is
• Understand the Central Limit Theorem
• Apply the Central Limit Theorem in practice
• Apply Hypothesis Testing for Means
• Apply Hypothesis Testing for Proportions
• Use the Z-Score and Z-Tables
• Use the t-Score and t-Tables
• Understand the difference between a normal distribution and a t-distribution
• Understand and apply statistical significance
• Create confidence intervals
• Understand the potential pitfalls of overusing p-Values

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Curso completo de Estadística a nivel universitario

Curso completo de Estadística a nivel universitario, Probabilidades, descriptiva univariada y bivariada, distribuciones, estimación, inferencia, test de hipótesis, y más!

• Created by Elisa Cabana Garceran del Vall
• Last updated 4/2019
•  Spanish
•  Spanish [Auto-generated]
• 7.5 hours on-demand video
• 17 articles
• 22 downloadable resources
• Full lifetime access
• Access on mobile and TV
• Certificate of Completion

What you'll learn

• Serás capaz de entender todos los conceptos y su estrecha relación entre sí.
• Conseguirás realizar los ejercicios tipo test y prácticos con mucha más soltura.
• Tendrás acceso a la explicación detallada de los métodos.
• Verás ejercicios de ejemplo de cada tema, resueltos con tableta gráfica Wacom.
• Tendrás disponibles los materiales complementarios con el resumen de propiedades utilizadas y con todas las fórmulas.
• Podrás obtener un certificado válido y reconocido.

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Probability and Statistics for Business and Data Science

Probability and Statistics for Business and Data Science, Learn how to apply probability and statistics to real data science and business applications!

Publisher :  Jose Portilla, Pierian Data Inc.

Course Length : 5 hours

Course Language : English

Description

Welcome to Probability and Statistics for Business and Data Science!

In this course we cover what you need to know about probability and statistics to succeed in business and the data science field!

This practical course will go over theory and implementation of statistics to real world problems. Each section has example problems, in course quizzes, and assessment tests.

We’ll start by talking about the basics of data, understanding how to examine it with measurements of central tendency, dispersion, and also building an understanding of how bivariate data sources can relate to each other.

Afterwards we’ll dive into probability , learning about combinations and permutations, as well as conditional probability and how to apply bayes theorem.

Then we’ll move on to discussing the most common distributions found in statistics, creating a solid foundation of understanding how to work with uniform, binomial, poisson, and normal distributions.

Up next we’ll talk about statistics, applying what we’ve learned so far to real world business cases, including hypothesis testing and the student's T distribution.

We’ll end the course with 3 sections on advanced topics, such as ANOVA (analysis of variance), understanding regression analysis, and finally performing chi squared analysis.

The sections are modular and organized by topic, so you can reference what you need and jump right in!

Our course includes HD Video with clear explanations and high quality animations, we also include extensive case studies to show you how to apply this knowledge to the real world.

We'll cover everything you need to know about statistics and probability to clearly tackle real world business and data science problems!

Including: 

• Measurements of Data
• Mean, Median, and Mode
• Variance and Standard Deviation
• Co-variance and Correlation
• Permutations and Combinations
• Unions and Intersections
• Conditional Probability
• Bayes Theorem
• Binomial Distribution
• Poisson Distribution
• Normal Distribution
• Sampling
• Central Limit Theorem
• Hypothesis Testing
• T-Distribution Testing
• Regression Analysis
• ANOVA
• Chi Squared
• and much more!

Not only do you get great technical content, but you’ll also have access to our online QA forums as well as our student chat channel. Where the TAs and myself are happy to help out with any questions you encounter! Upon finishing this course you’ll receive a certificate of completion you can post on your linkedin profile to show off to your colleagues, or even potential employers!

All of this content comes with a 30 day money back guarantee, so you can try out the course risk free!

So what are you waiting for? Enroll today and we'll see you inside the course!

Who is the target audience?

• Someone interested in learning how to apply probability and statistics to business or data science

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