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  3. Practical Statistics For Business and Data Science

Practical Statistics For Business and Data Science

In the course, we will cover all the foundational concepts needed to begin your journey in data science, and business analytics and learn the concepts and techniques required to use statistics effectively to make better decisions.

Woody Lewenstein
Woody Lewenstein
Data Science | core | 5 hours 30 minutes |   Published: Nov 2022

    Discussions

Overview

1.5KSTUDENTS*
96.7%RECOMMEND*

This course includes:

  • 5.5 hours of on-demand video  
  • Certificate of completion  
  • Direct access/chat with the instructor 
  • 100% self-paced online 
This course is for people who want to use statistics to make better decisions. In the course, we will 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.  The course is hands-on and practical, with a focus on showing you how to use the skills taught. Wherever possible, we 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 we will show you how to clean it up and make sense of it. 
  • Visualizing Data – We will show you all the standard ways to visualize your data usefully, and in each case show you how to use Excel to create beautiful visualizations. 
  • Probability – We will teach you all the fundamentals of probability, up to and including conditional probability, and an intro to Bayesian statistics 

Skills You Will Gain

Data Science
Data Visualization
Probability
Statistics

Learning Outcomes (At The End Of This Program, You Will Be Able To...)

  • Perform data analysis with the most important tools for making sense of data. 
  • Use Excel to create effective visuals. 
  • Understand and comment on data visualizations. 
  • Clean your data to be ready for analysis 

Prerequisites

  • Nothing beyond basic arithmetic and a desire to learn. 

Who Should Attend

  • People who want to use statistics to make better decisions. 

Curriculum

Instructors

*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.
1Module 0 - Introduction
2Module 1 - Descriptive Statistics
3Module 2 - Cleaning Data
4Module 3 - Visualizing Data
5Module 4 - Sampling
6Module 5 - Probability

You need to enroll in this course to access the curriculum. Click 'Enroll' to get started!

Segment 00 - Message from Instructor

You need to enroll in this course to access the curriculum. Click 'Enroll' to get started!

Segment 11 - Anomalies and Outliers

Segment 12 - Coding Data

You need to enroll in this course to access the curriculum. Click 'Enroll' to get started!

Segment 1 - Mean Average

Segment 2 - Median Average

Segment 3 - Mode Average

Segment 4 - Comparing Averages

Segment 5 - Quantiles, Range and IQR

Segment 6 - Standard Deviation and Variance

Segment 7 - Coefficient of Variation

Segment 9 - Kurtosis

Segment 8 - Skew

Segment 10 - Correlation

You need to enroll in this course to access the curriculum. Click 'Enroll' to get started!

Segment 21 - Populations and Samples

Segment 22 - Random sampling 1

Segment 23 - Non-Random Sampling

You need to enroll in this course to access the curriculum. Click 'Enroll' to get started!

Segment 13 - Line Graphs

Segment 14 - Bar Charts

Segment 15 - Dual Axis Charts

Segment 16 - Pie Charts

Segment 17 - Histograms

Segment 18 - Box Plots

Segment 19 - Cumulative Frequency

Segment 20 - Comparing Visualizations

You need to enroll in this course to access the curriculum. Click 'Enroll' to get started!

Segment 24 - What is Probability?

Segment 25 - Independent Events

Segment 26 - Mutually Exclusive Events

Segment 27 - Tree Diagrams

Segment 28 - Venn Diagrams

Segment 29 - Conditional Probability

Segment 30 - Set Notation

Segment 31 - Bayes Theorem

Woody Lewenstein

Woody Lewenstein

With a passion for mathematics and education, Woody Lewenstein has dedicated his career to helping learners of all levels achieve their mathematical goals. He is the founder of Mathematics with Woody, an initiative that offers tailored online mathematics courses designed to support school students preparing for A-levels, as well as adults looking to reskill or enhance their mathematical expertise for industry-specific applications.

Woody’s courses are thoughtfully crafted to make complex mathematical concepts accessible and engaging, ensuring that learners not only understand but also apply their knowledge effectively. In addition to his role as an online educator, he brings extensive experience from a range of educational settings.

For nearly seven years, Woody has taught mathematics at Wren Academy, guiding students through their academic journeys with clarity and enthusiasm. He previously taught both mathematics and economics at King's College London Maths School Trust, enriching his instructional approach with a broad perspective on the practical applications of mathematical principles.

Woody’s academic background includes a Bachelor's degree from the University of Oxford, a Master's degree from King's College London, and a Postgraduate Degree in Education from the University of Roehampton. This strong combination of academic excellence and hands-on teaching experience enables him to deliver comprehensive, effective instruction tailored to the diverse needs of his students.

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