Learn Statistical Data Analysis with Python
Learn Statistical Data Analysis with Python, available at Free, has an average rating of 4.15, with 17 lectures, based on 77 reviews, and has 4523 subscribers.
You will learn about I can explain and calculate the importance of measures of central tendency. I can explain and calculate the importance of measures of dispersion. I can identify the relative strengths and weaknesses of the measures of tendency. I can identify the relative strengths and weaknesses of the measures of dispersion. I can create and interpret a histogram, a bar chart, a box plot, and a frequency table. I can identify and describe scatter plots and line graphs to determine the relationships between two variables. I can calculate and interpret the Pearson correlation coefficient to determine the relationships between two variables. This course is ideal for individuals who are This course is designed for professionals with an interest in getting hands-on experience with the respective data science techniques and tools. It is particularly useful for This course is designed for professionals with an interest in getting hands-on experience with the respective data science techniques and tools.
Enroll now: Learn Statistical Data Analysis with Python
Summary
Title: Learn Statistical Data Analysis with Python
Price: Free
Average Rating: 4.15
Number of Lectures: 17
Number of Published Lectures: 17
Number of Curriculum Items: 17
Number of Published Curriculum Objects: 17
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
- I can explain and calculate the importance of measures of central tendency.
- I can explain and calculate the importance of measures of dispersion.
- I can identify the relative strengths and weaknesses of the measures of tendency.
- I can identify the relative strengths and weaknesses of the measures of dispersion.
- I can create and interpret a histogram, a bar chart, a box plot, and a frequency table.
- I can identify and describe scatter plots and line graphs to determine the relationships between two variables.
- I can calculate and interpret the Pearson correlation coefficient to determine the relationships between two variables.
Who Should Attend
- This course is designed for professionals with an interest in getting hands-on experience with the respective data science techniques and tools.
Target Audiences
- This course is designed for professionals with an interest in getting hands-on experience with the respective data science techniques and tools.
By the end of this course, you will have achieved the following learning outcomes:
-
I can explain and calculate the importance of measures of central tendency.
-
I can explain and calculate the importance of measures of dispersion.
-
I can identify the relative strengths and weaknesses of the measures of tendency.
-
I can identify the relative strengths and weaknesses of the measures of dispersion.
-
I can create and interpret a histogram, a bar chart, a box plot, and a frequency table.
-
I can identify and describe scatter plots and line graphs to determine the relationships between two variables.
-
I can calculate and interpret the Pearson correlation coefficient to determine the relationships between two variables.
These are some of the basics statistical data analysis techniques that you will get to use while working on data science projects. For example, in order to check for model assumptions while working on a predictive solution, you will need to apply the above techniques i.e. to test for normality of variables in a dataset, you can plot a histogram or a pair plot, to check for correlation, you can calculate the Pearson correlation coefficient etc.
In addition, these techniques will also be important while also working on data analysis projects where the creation of a descriptive analysis report will be a necessity.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Chapter 2: About the Resources
Lecture 1: About the Resources
Chapter 3: Statistical Data Analysis: Overview
Lecture 1: Statistical Data Analysis: Overview
Chapter 4: Overview: Univariate Analysis
Lecture 1: Overview: Univariate Analysis
Chapter 5: Bar Chart
Lecture 1: Bar Chart
Chapter 6: Histogram
Lecture 1: Histogram
Chapter 7: Frequency Table
Lecture 1: Frequency Table
Chapter 8: Pie Chart
Lecture 1: Pie Chart
Chapter 9: Box Plot
Lecture 1: Box Plot
Chapter 10: Measures of Central Tendency
Lecture 1: Measures of Central Tendency
Chapter 11: Measures of Dispersion
Lecture 1: Measures of Dispersion
Chapter 12: Overview: Bivariate Analysis
Lecture 1: Overview: Bivariate Analysis
Chapter 13: Scatterplot
Lecture 1: Scatterplot
Chapter 14: Pearson Correlation Coefficient
Lecture 1: Pearson Correlation Coefficient
Chapter 15: Pearson Correlation Coefficient – Visualisation
Lecture 1: Pearson Correlation Coefficient – Visualisation
Chapter 16: Line Graphs
Lecture 1: Line Graphs
Chapter 17: What's Next
Lecture 1: What's Next
Instructors
-
Valentine Mwangi
Data Science Curriculum Designer
Rating Distribution
- 1 stars: 5 votes
- 2 stars: 3 votes
- 3 stars: 13 votes
- 4 stars: 25 votes
- 5 stars: 31 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
You may also like
- Learn to Fix iPhones and Start a Delivery Service
- Make Money With High Ticket Sales (Even If You're A Newbie)
- Masterclass: Start a Profitable Internet Cafe Business
- Google Analytics for Shopify: A Complete Step-by-Step Guide
- Creating Amazing Property Video (Using Your Smartphone)
- The Fundamentals of Business Intelligence (BI)
- Outsource Easier!
- Amazon SEO & Listing Optimization SECRETS to Double Sales
- Strategic Workforce Planning: A Fundamental Beginner's Guide
- Start A Start Hustle And Build A Second Income
- SPA RETAIL 101 – how to create a sales culture in your Spa?
- Beyond Upwork: How to Find Freelance Clients Outside Upwork
- How to manage event venue
- Ultimate Amazon FBA Mastery Course – Start With Any Budget
- The Gaming Youtube Masterclass
- Power BI Business User
- PMI – PgMP | 2024 Real Practice Exams (1150 Questions)
- Six Sigma: Certified Lean Six Sigma Green Belt | Accredited
- International B2B Trade Shows Management
- Project Management Guide for Human Resources (HR)