What is statistics for data science?

Statistics for data science refers to the mathematical analysis used to sort, analyze, interpret, and present data. It includes concepts like probability distribution, regression, and over or under-sampling. Descriptive statistics organizes data based on characteristics of the data set, such as normal distribution, central tendency, variability, and standard deviation. Inferential statistics incorporates the use of probability theory to infer characteristics of the data set.

Why learn statistics for data science?

Learning statistics for data science can lead to career opportunities in data science and related fields. As organizations increasingly rely on data to make decisions, they tend to seek out analysts who understand how to work with data and present it to stakeholders. Learning statistics for data science can also provide a good salary. As of 2020, the median pay for computer and information research scientists in the US is $122,840 and the job market remains positive, according to the Bureau of Labor Statistics. Mathematicians and statisticians have a similar job outlook and a median salary of $92,030 per year.

What are typical careers that use statistics for data science?

Data analysis, data architects, data scientists, and information officers typically use statistics for data science in their regular work. Data science is a broad field, and statistics can be useful in other roles that require analyzing and presenting data. This includes data warehouse analysts, data visualization developers, database managers, and machine learning engineers. Additional related fields include financial analysts, teachers, and researchers working for universities and corporate settings.

How can online courses help me learn statistics for data science?

Through online courses, you can learn the fundamentals of statistics for data science, including the theories and techniques statisticians use in their work. Some courses explore fundamental concepts like Bayes’ Theorem and probability theory. Others present methods for calculating and evaluating data sets. You can brush up on your knowledge of programs statisticians use, like Excel and Python, or examine the application of statistics specific fields.

What are the benefits of taking an online Statistics for Data Science course?

Online Statistics for Data Science courses offer a convenient and flexible way to enhance your knowledge or learn new Statistics for Data Science skills. Choose from a wide range of Statistics for Data Science courses offered by top universities and industry leaders tailored to various skill levels.

What Statistics for Data Science courses are best for training and upskilling employees or the workforce?

When looking to enhance your workforce's skills in Statistics for Data Science, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here .

Top Statistics For Data Science Courses - Learn Statistics For Data Science Online

Explore the Statistics for Data Science Course Catalog

Status: Free
Eindhoven University of Technology
Process Mining: Data science in Action
Skills you'll gain: Business Process, Process Analysis, Process Improvement, Business Process Management, Data Mining, Business Process Modeling, Process Optimization, Operational Analysis, Performance Analysis, Data Analysis, Real Time Data, Data Science, Verification And Validation
4.7
Rating, 4.7 out of 5 stars
1.2K reviews
Intermediate · Course · 1 - 3 Months
IBM
IBM AI Foundations for Business
Skills you'll gain: Data Mining, Artificial Intelligence, Generative AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Information Architecture, Strategic Decision-Making, Cloud Computing, Data Analysis, Data Science, Deep Learning, Digital Transformation, Data Strategy, Data-Driven Decision-Making, Artificial Neural Networks, Business Strategy, Business Process Automation, Technology Strategies, Governance
4.7
Rating, 4.7 out of 5 stars
92K reviews
Beginner · Specialization · 1 - 3 Months
Google
Foundations: Data, Data, Everywhere
Skills you'll gain: Data Ethics, Data Analysis, Analytics, Data-Driven Decision-Making, Google Sheets, Business Analytics, Spreadsheet Software, Analytical Skills, Data Sharing, Data Cleansing, Data Processing, Data Strategy, Data Visualization Software, SQL
4.8
Rating, 4.8 out of 5 stars
113K reviews
Beginner · Course · 1 - 4 Weeks
IBM
IBM Data Management
Skills you'll gain: Dashboard, Data Storytelling, Data Warehousing, SQL, Data Presentation, Data Governance, Data Security, Data Migration, Data Visualization, Interactive Data Visualization, Descriptive Statistics, Data Mining, Cloud Storage, Data Visualization Software, Statistical Hypothesis Testing, Extract, Transform, Load, Data Management, MySQL, Relational Databases, Excel Formulas
4.7
Rating, 4.7 out of 5 stars
16K reviews
Beginner · Professional Certificate · 3 - 6 Months
Duke University
Introduction to Probability and Data with R
Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Analysis, Statistical Software, Data Science, Descriptive Statistics
4.7
Rating, 4.7 out of 5 stars
5.7K reviews
Beginner · Course · 1 - 3 Months
Macquarie University
Excel Fundamentals for Data Analysis
Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Data Manipulation, Data Transformation, Data Validation, Data Analysis, Pivot Tables And Charts, Automation
4.8
Rating, 4.8 out of 5 stars
4K reviews
Intermediate · Course · 1 - 3 Months
Status: Free
Yale University
The Science of Well-Being
Skills you'll gain:
4.9
Rating, 4.9 out of 5 stars
39K reviews
Mixed · Course · 1 - 3 Months
Status: AI skills
Meta
Meta Data Analyst
Skills you'll gain: Data Storytelling, Business Metrics, Key Performance Indicators (KPIs), Data Management, Data Collection, Data Governance, Bayesian Statistics, Data Analysis, Descriptive Statistics, Statistical Hypothesis Testing, Information Privacy, Data Cleansing, Pandas (Python Package), Data Visualization Software, Statistical Inference, Spreadsheet Software, Correlation Analysis, Google Sheets, Exploratory Data Analysis, Data Manipulation
4.7
Rating, 4.7 out of 5 stars
1.3K reviews
Beginner · Professional Certificate · 3 - 6 Months
University of Pennsylvania
Data Analysis Using Python
Skills you'll gain: Matplotlib, Data Analysis, Pandas (Python Package), Data Science, Data Cleansing, Pivot Tables And Charts, Data Visualization Software, Data Manipulation, Scatter Plots, NumPy, Data Quality, Jupyter, Data Import/Export, Histogram, Python Programming, Programming Principles
4.5
Rating, 4.5 out of 5 stars
416 reviews
Beginner · Course · 1 - 4 Weeks
Johns Hopkins University
R Programming
Skills you'll gain: Statistical Analysis, R Programming, Statistical Programming, Data Analysis, Debugging, Simulations, Program Development, Software Installation, Computer Programming, Data Structures, Performance Tuning, Data Import/Export
4.5
Rating, 4.5 out of 5 stars
22K reviews
Intermediate · Course · 1 - 4 Weeks
Johns Hopkins University
The Data Scientist’s Toolbox
Skills you'll gain: Rmarkdown, Version Control, Data Science, General Science and Research, Data Analysis, R Programming, Statistical Programming, Exploratory Data Analysis, Software Installation
4.6
Rating, 4.6 out of 5 stars
34K reviews
Mixed · Course · 1 - 4 Weeks
IBM
Exploratory Data Analysis for Machine Learning
Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Cleansing, Data Access, Data Analysis, Statistical Inference, Statistical Hypothesis Testing, Data Quality, Probability & Statistics, Jupyter, Big Data, Machine Learning, Data Manipulation, Pandas (Python Package), Statistical Analysis, Data Transformation, Data Presentation, Artificial Intelligence
4.6
Rating, 4.6 out of 5 stars
2.2K reviews
Intermediate · Course · 1 - 3 Months