Beginner Statistics for Data Analytics – Learn the Easy Way!
Beginner Statistics for Data Analytics – Learn the Easy Way!, available at $74.99, has an average rating of 4.55, with 42 lectures, 5 quizzes, based on 4819 reviews, and has 16201 subscribers.
You will learn about Understand the fundamentals of statistics w/o memorizing complicated formulas Make better, more accurate data-driven decisions Understand and carry out a regression analysis Make estimates using confidence intervals Plot different types of data using scatter plots and histograms Calculate correlation, standard deviation, and other measures This course is ideal for individuals who are People who want a career in Data Science or Business analysts or People who want to learn the fundamentals of statistics or Recent grads looking for an analytical job It is particularly useful for People who want a career in Data Science or Business analysts or People who want to learn the fundamentals of statistics or Recent grads looking for an analytical job.
Enroll now: Beginner Statistics for Data Analytics – Learn the Easy Way!
Summary
Title: Beginner Statistics for Data Analytics – Learn the Easy Way!
Price: $74.99
Average Rating: 4.55
Number of Lectures: 42
Number of Quizzes: 5
Number of Published Lectures: 42
Number of Published Quizzes: 5
Number of Curriculum Items: 47
Number of Published Curriculum Objects: 47
Original Price: $34.99
Quality Status: approved
Status: Live
What You Will Learn
- Understand the fundamentals of statistics w/o memorizing complicated formulas
- Make better, more accurate data-driven decisions
- Understand and carry out a regression analysis
- Make estimates using confidence intervals
- Plot different types of data using scatter plots and histograms
- Calculate correlation, standard deviation, and other measures
Who Should Attend
- People who want a career in Data Science
- Business analysts
- People who want to learn the fundamentals of statistics
- Recent grads looking for an analytical job
Target Audiences
- People who want a career in Data Science
- Business analysts
- People who want to learn the fundamentals of statistics
- Recent grads looking for an analytical job
This is not another boring stats course. We’ll teach you the fundamental statistical tools to be successful in analytics…without boring you with complex formulas and theory.
Statistical analysis can benefit almost anyone in any industry. We live in a world flooded with data. Having the tools to analyze and synthesize that data will help you stand out on your team.
In a few short hours, you’ll have the fundamental skills to help you immediately start applying sophisticated statistical analyses to your data.
Our course is:
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Very easy to understand– There is not memorizing complex formulas (we have Excel to do that for us) or learning abstract theories. Just real, applicable knowledge.
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Fun– We keep the course light-hearted with fun examples
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To the point– We removed all the fluff so you’re just left with the most essential knowledge
What you’ll be able to do by the end of the course
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Create visualizations such as histograms and scatter plots to visually show your data
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Apply basic descriptive statistics to your past data to gain greater insights
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Combine descriptive and inferential statistics to analyze and forecast your data
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Utilize a regression analysis to spot trends in your data and build a robust forecasting model
Let’s start learning!
Course Curriculum
Chapter 1: Introduction
Lecture 1: Welcome to the course!
Lecture 2: Course inroduction
Chapter 2: The Fundamentals of Statistics
Lecture 1: Descriptive vs. Inferential Statistics
Lecture 2: Population vs. Sample
Lecture 3: Categorical vs. Numerical Data
Lecture 4: Ways to Visually Show your Data
Lecture 5: The Ultimate Goal of Statistics
Lecture 6: Mean (Average)
Lecture 7: Median
Lecture 8: Mode
Lecture 9: Applying Mean, Median, and Mode
Chapter 3: A Deeper Dive into Descriptive Statistics
Lecture 1: Understanding and Creating Histograms pt. I
Lecture 2: Understanding and Creating Histograms pt. II
Lecture 3: Skewness in our Histogram
Lecture 4: Intro to Variance
Lecture 5: Intro to Standard Deviation
Lecture 6: Applying Standard Deviation
Lecture 7: Coefficient of Variation
Chapter 4: Inferential Statistics & Estimates
Lecture 1: Probability Distribution
Lecture 2: The Normal Distribution
Lecture 3: Simple Explanation of the Central Limit Theorem
Lecture 4: Proving out the Central Limit Theorem
Lecture 5: Intro to Estimates
Lecture 6: Calculating a Confidence Interval Estimate
Lecture 7: Applying Confidence Interval Estimates
Chapter 5: Intro to Regression Analysis
Lecture 1: What is a Regression Analysis
Lecture 2: Understanding and Creating Scatter Plots
Lecture 3: Correlation and Causation
Lecture 4: Applying Correlation
Lecture 5: Understanding the Correlation Number
Lecture 6: Creating a Line of Best Fit (Trendline)
Lecture 7: The Equation of the Line
Chapter 6: Creating and Understanding a Regression
Lecture 1: Setting up Excel for Regression
Lecture 2: Creating our First Regression
Lecture 3: Understanding the Regression Statistics
Lecture 4: Understanding R Square
Lecture 5: Understanding P-values
Lecture 6: Understanding the Final Regression Outputs
Lecture 7: Tying it All Together
Lecture 8: Creating a Confidence Interval Estimate
Chapter 7: Conclusion
Lecture 1: Conclusion
Lecture 2: Final Thoughts
Instructors
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Joseph @ Wisdify
CFO, Corporate Finance expert, Instructor, Mentor
Rating Distribution
- 1 stars: 13 votes
- 2 stars: 39 votes
- 3 stars: 421 votes
- 4 stars: 1791 votes
- 5 stars: 2555 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!
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