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In this post, I will share some of the best Statistics courses available on Udemy for Programmers and Software Engineers. In the first section, you will find a quick list, and in the next section, each course is described in detail. Please have a look:
Are you interested in learning more about Statistics courses? Check out the details below to see which Statistics course is right for you.
Best Statistics Courses on Udemy
Become a Probability & Statistics Master
★★★★★
$25.00 in stock
Udemy.com
as of July 17, 2024 12:17 am
Learn everything from Probability & Statistics, then test your knowledge with 600+ practice questions
Created by: Krista King
Your geeky, trusty math tutor
Your geeky, trusty math tutor
Rating:4.68 (9633reviews)
71005students enrolled
What Will I Learn?
- Visualizing data, including bar graphs, pie charts, venn diagrams, histograms, and dot plots
- Analyzing data, including mean, median, and mode, plus range and IQR and box-and-whisker plots
- Data distributions, including mean, variance, and standard deviation, and normal distributions and z-scores
- Probability, including union vs. intersection and independent and dependent events and Bayes' theorem
- Discrete random variables, including binomial, Bernoulli, Poisson, and geometric random variables
- Sampling, including types of studies, bias, and sampling distribution of the sample mean or sample proportion, and confidence intervals
- Hypothesis testing, including inferential statistics, significance level, type I and II errors, test statistics, and p-values
- Regression, including scatterplots, correlation coefficient, the residual, coefficient of determination, RMSE, and chi-square
Requirements
- You should be comfortable with arithmetic (addition, subtraction, multiplication, division) of whole numbers.
- You should be comfortable with basic algebraic operations and simple equation solving.
- You'll only need simple arithmetic and algebra to solve these probability and statistics problems, so if you have that simple foundation, you'll be well prepared for this course.
Target audience
- Current probability and statistics students, or students about to start probability and statistics who are looking to get ahead
- Homeschool parents looking for extra support with probability and statistics
- Anyone who wants to study math for fun after being away from school for a while
Statistics for Data Science and Business Analysis
★★★★★
$17.00 in stock
Udemy.com
as of July 17, 2024 12:17 am
Statistics you need in the office: Descriptive & Inferential statistics, Hypothesis testing, Regression analysis
Created by: 365 Careers
Creating opportunities for Data Science and Finance students
Creating opportunities for Data Science and Finance students
Created by: 365 Careers Team
Creating opportunities for Business & Finance students
Creating opportunities for Business & Finance students
Rating:4.59 (34026reviews)
155652students enrolled
What Will I 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
Target audience
- People who want a career in Data Science
- People who want a career in Business Intelligence
- Business analysts
- Business executives
- Individuals who are passionate about numbers and quant analysis
- Anyone who wants to learn the subtleties of Statistics and how it is used in the business world
- People who want to start learning statistics
- People who want to learn the fundamentals of statistics
Probability and Statistics for Business and Data Science
★★★★★
$16.00 in stock
Udemy.com
as of July 17, 2024 12:17 am
Learn how to apply probability and statistics to real data science and business applications!
Created by: Jose Portilla
Head of Data Science at Pierian Training
Head of Data Science at Pierian Training
Rating:4.65 (5569reviews)
29227students enrolled
What Will I Learn?
- Understand the basics of probability
- Be able to implement basic statistics
- Understand how to use various statistical distributions
- Apply statistical methods and hypothesis testing to business problems
- Understand how regression models work
- Implement one way and two way ANOVA
- Understand Chi Squared Tests
- Be able to understand different types of data
Requirements
- Paper and Pencil to take notes
- Optional: Excel or Python to run simulations
Target audience
- Someone interested in learning how to apply probability and statistics to business or data science
Statistics for Data Analysis Using Excel 2016
★★★★★
$16.00 in stock
Udemy.com
as of July 17, 2024 12:17 am
Plain & Simple Lessons on Descriptive & Inferential Statistics Theory With Excel Examples for Business & Six Sigma
Created by: Sandeep Kumar, Quality Gurus Inc.
Experienced Quality Director • Six Sigma Coach • Consultant
Experienced Quality Director • Six Sigma Coach • Consultant
Rating:4.53 (4780reviews)
20434students enrolled
What Will I Learn?
- You will learn Descriptive and Inferential Statistics with the help of simple but practical examples.
- You will learn to use the power of Microsoft Excel to perform statistical calculations for you. No need to remember long formulas and equations.
- You will understand statistics from basic to advance level to solve business problems using Microsoft Excel.
- You will learn to make sense out of vast amount of data around you, to make fact based decisions.
Requirements
- You should have some basic understanding of Microsoft Excel.
Target audience
- Business managers and data analysts who are trying make decision based on data and facts
- Six Sigma Green and Black Belt professionals using MS Excel to conduct statistical analysis
Statistics for Data Analysis Using Python
★★★★★
$14.00 in stock
Udemy.com
as of July 17, 2024 12:17 am
Learn Python from Basics • Descriptive, Inferential Statistics • Plots for Data Visualization • Data Science
Created by: Sandeep Kumar, Quality Gurus Inc.
Experienced Quality Director • Six Sigma Coach • Consultant
Experienced Quality Director • Six Sigma Coach • Consultant
Created by: Abhin Chhabra
Senior Software Engineer
Senior Software Engineer
Rating:4.6 (705reviews)
5721students enrolled
What Will I Learn?
- Python from basics - No prior knowledge required
- Statistics from basics - No prior knowledge required
- You will first learn the basic statistical concepts, followed by application of these concepts using Python. This course is a nice combination of theory and practice.
- Inferential Statistics - One and two sample z, t, Chi Square, F Tests, ANOVA and more.
- Descriptive Statistics - Mean, Mode, Median, Standard Deviation, Variance and Interquartile Range
- Probability Distributions - Normal, Binomial and Poisson
Requirements
- Basic school level mathematics will be helpful.
- You will need to download and install Python on your PC or laptop.
Target audience
- Anyone who want to use statistics to make fact based decisions.
- Anyone who wants to learn Python for career in data science.
- Anyone who thinks Statistics is confusing and wants to learn it in plain and simple language.
Introduction to Statistics
★★★★★
$13.00 in stock
Udemy.com
as of July 17, 2024 12:17 am
Learn the fundamentals of statistics
Created by: Splice Data
Data Analyst
Data Analyst
Rating:4.63 (144reviews)
1484students enrolled
What Will I Learn?
- Learn the fundamentals of statistics
- Finding means, medians, and modes
- Calculating standard deviation
- Understanding probability
Requirements
- basic understanding of mathematics
Target audience
- Anyone interested in learning basic statistics
- Professionals interested in understanding statistics
- Students
The Data Science Course 2022: Complete Data Science Bootcamp
★★★★★
$19.00 in stock
Udemy.com
as of July 17, 2024 12:17 am
Complete Data Science Training: Mathematics, Statistics, Python, Advanced Statistics in Python, Machine & Deep Learning
Created by: 365 Careers
Creating opportunities for Data Science and Finance students
Creating opportunities for Data Science and Finance students
Created by: 365 Careers Team
Creating opportunities for Business & Finance students
Creating opportunities for Business & Finance students
Rating:4.63 (113963reviews)
535564students enrolled
What Will I Learn?
- The course provides the entire toolbox you need to become a data scientist
- Fill up your resume with in demand data science skills: Statistical analysis, Python programming with NumPy, pandas, matplotlib, and Seaborn, Advanced statistical analysis, Tableau, Machine Learning with stats models and scikit-learn, Deep learning with TensorFlow
- Impress interviewers by showing an understanding of the data science field
- Learn how to pre-process data
- Understand the mathematics behind Machine Learning (an absolute must which other courses don’t teach!)
- Start coding in Python and learn how to use it for statistical analysis
- Perform linear and logistic regressions in Python
- Carry out cluster and factor analysis
- Be able to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn
- Apply your skills to real-life business cases
- Use state-of-the-art Deep Learning frameworks such as Google’s TensorFlowDevelop a business intuition while coding and solving tasks with big data
- Unfold the power of deep neural networks
- Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could improve performance
- Warm up your fingers as you will be eager to apply everything you have learned here to more and more real-life situations
Requirements
- No prior experience is required. We will start from the very basics
- You’ll need to install Anaconda. We will show you how to do that step by step
- Microsoft Excel 2003, 2010, 2013, 2016, or 365
Target audience
- You should take this course if you want to become a Data Scientist or if you want to learn about the field
- This course is for you if you want a great career
- The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills
Statistics for Business Analytics and Data Science A-Z™
★★★★★
$19.00 in stock
Udemy.com
as of July 17, 2024 12:17 am
Learn The Core Stats For A Data Science Career. Master Statistical Significance, Confidence Intervals And Much More!
Created by: Kirill Eremenko
Data Scientist
Data Scientist
Created by: Ligency I Team
Helping Data Scientists Succeed
Helping Data Scientists Succeed
Created by: Ligency Team
Helping Data Scientists Succeed
Helping Data Scientists Succeed
Rating:4.53 (10088reviews)
56490students enrolled
What Will I 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
Requirements
- Just a basic knowledge of high school maths
Target audience
- Anybody who wants to master stats for business analytics
- Anybody who wants to learn stats from the ground up
- Anybody who wants to get hands-on experience with stats
Master statistics & machine learning: intuition, math, code
★★★★★
$16.00 in stock
Udemy.com
as of July 17, 2024 12:17 am
A rigorous and engaging deep-dive into statistics and machine-learning, with hands-on applications in Python and MATLAB.
Created by: Mike X Cohen
Neuroscientist, writer, professor
Neuroscientist, writer, professor
Rating:4.69 (1436reviews)
16038students enrolled
What Will I Learn?
- Descriptive statistics (mean, variance, etc)
- Inferential statistics
- T-tests, correlation, ANOVA, regression, clustering
- The math behind the "black box" statistical methods
- How to implement statistical methods in code
- How to interpret statistics correctly and avoid common misunderstandings
- Coding techniques in Python and MATLAB/Octave
- Machine learning methods like clustering, predictive analysis, classification, and data cleaning
Requirements
- Good work ethic and motivation to learn.
- Previous background in statistics or machine learning is not necessary.
- Python -OR- MATLAB with the Statistics toolbox (or Octave).
- Some coding familiarity for the optional code exercises.
- No textbooks necessary! All materials are provided inside the course.
Target audience
- Students taking statistics or machine learning courses
- Professionals who need to learn statistics and machine learning
- Scientists who want to understand their data analyses
- Anyone who wants to see "under the hood" of machine learning
- Artificial intelligence (AI) students
- Business intelligence students
Statistics & Mathematics for Data Science & Data Analytics
★★★★★
$15.00 in stock
Udemy.com
as of July 17, 2024 12:17 am
Learn the statistics & probability for data science and business analysis
Created by: Nikolai Schuler
Data Scientist and BI Consultant
Data Scientist and BI Consultant
Rating:4.55 (1006reviews)
5740students enrolled
What Will I Learn?
- Master the fundamentals of statistics for data science & data analytics
- Master descriptive statistics & probability theory
- Machine learning methods like Decision Trees and Decision Forests
- Probability distributions such as Normal distribution, Poisson Distribution and more
- Hypothesis testing, p-value, type I & type II error
- Logistic Regressions, Multiple Linear Regression, Regression Trees
- Correlation, R-Square, RMSE, MAE, coefficient of determination and more
Requirements
- Absolutely no previous experience required. We will learn everything right from the basics and then work our way up step by step
- Eagerness and motivation to learn
Target audience
- Anybody that wants to master statistics & probabilities for data science & data analysis
- Anybody who wants to pursue a career in Data Science
- Professionals and students who want to understand the necessary statistics for data analysis
Price Statistics
- All prices mentioned above are in United States dollar.
- This product is available at Udemy.
- At udemy.com you can purchase Introduction to Statistics for only $13.00
- The lowest price of Become a Probability & Statistics Master was obtained on July 17, 2024 12:17 am.
