What skills can I learn in data science courses on Coursera?

Data science courses on Coursera cover a comprehensive array of essential skills including: Fundamentals of data manipulation and data analysis using tools like Python and R Statistical analysis and probability modeling Machine learning techniques, including supervised and unsupervised learning Data visualization and communication using platforms like Tableau and PowerBI Big data technologies such as Hadoop and Spark Deep learning and artificial intelligence concepts Time series analysis for forecasting and trend analysis Data ethics and data privacy best practices

Do I need prior experience in programming to start these data science courses?

No prior programming experience is required to begin beginner data science courses . The curriculum is designed to support learners at various skill levels: Beginners can start with introductory courses on data analysis and basic programming. Intermediate learners can advance to more complex statistical methods and machine learning models. Advanced professionals can specialize in areas like artificial intelligence , deep learning , or big data technologies.

What data science certifications and credentials are available?

Data science courses on Coursera offer a variety of credentialing options: Professional certificates that demonstrate comprehensive data science skills Specialized course certificates in areas such as machine learning, business analytics, or data engineering Certifications from leading technology companies and academic institutions These certificates can help demonstrate data science skills, employability and career progression.

What career opportunities are available with skills in data science?

Skills in data science can lead to a wide range of career opportunities in various sectors including technology, healthcare, finance, and more: Data Scientist Data Analyst Machine Learning Engineer Business Intelligence Analyst Quantitative Analyst Data Engineers and Database Administrators Professionals in these roles utilize data science skills to extract insights from data, support decision-making, and innovate with new algorithms and predictive models. Discover which data science role suits you best by taking our career quiz !

How can I purchase data science training courses for my team?

Looking to enhance your team's data science skills? Coursera provides tailored enterprise solutions for teams ranging of 5-125 employees. Our offerings include advanced analytics, customized learning paths, and collaborative tools. To explore our data science training options and make a purchase, please visit our Coursera for Teams page.

Top Data Science Courses - Learn Data Science Online

Results for "data science"

Johns Hopkins University
Data Science: Statistics and Machine Learning
Skills you'll gain: Shiny (R Package), Rmarkdown, Regression Analysis, Leaflet (Software), Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Statistical Machine Learning, Feature Engineering, Statistical Analysis, Statistical Modeling, Probability, Correlation Analysis, Data Science, Data Analysis
4.4
Rating, 4.4 out of 5 stars
7.2K reviews
Intermediate · Specialization · 3 - 6 Months
Coursera Project Network
Statistics For Data Science
Skills you'll gain: Correlation Analysis, Probability & Statistics, Statistics, Statistical Analysis, Data Analysis, Sampling (Statistics), Data Science, Probability Distribution, Descriptive Statistics, Statistical Inference, Exploratory Data Analysis
3.9
Rating, 3.9 out of 5 stars
33 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free
Coursera Instructor Network
Data Science for Professionals
Skills you'll gain: Predictive Modeling, Predictive Analytics, Statistical Analysis, Data Manipulation, Data Analysis, Data Science, Data Visualization Software, Statistics, Data Cleansing, Data Processing, Data-Driven Decision-Making, Business Analytics, Exploratory Data Analysis, Machine Learning
4.5
Rating, 4.5 out of 5 stars
13 reviews
Beginner · Course · 1 - 4 Weeks
Google
Data Analysis with R Programming
Skills you'll gain: Rmarkdown, Ggplot2, R Programming, Data Analysis, Tidyverse (R Package), Data Visualization Software, Data Cleansing, Statistical Analysis, Data Manipulation, Package and Software Management, Data Structures
4.8
Rating, 4.8 out of 5 stars
11K reviews
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Data Science: Foundations using R
Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Visualization, Statistical Programming, Ggplot2, Dimensionality Reduction, Data Visualization Software, Data Integration, Knitr, Data Analysis, Data Import/Export, General Science and Research, Data Sharing, Statistical Reporting
4.6
Rating, 4.6 out of 5 stars
48K reviews
Beginner · Specialization · 3 - 6 Months
IBM
SQL for Data Science with R
Skills you'll gain: Relational Databases, Database Design, SQL, Database Management, Databases, Query Languages, Data Analysis, Exploratory Data Analysis, R Programming, Data Manipulation, Data Access
4.3
Rating, 4.3 out of 5 stars
174 reviews
Beginner · Course · 1 - 3 Months
DeepLearning.AI
Probability & Statistics for Machine Learning & Data Science
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Statistical Inference, A/B Testing, Statistical Analysis, Data Science, Exploratory Data Analysis, Data Analysis, Statistical Visualization
4.6
Rating, 4.6 out of 5 stars
545 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free
Coursera Project Network
Data Science Coding Challenge: Loan Default Prediction
Skills you'll gain: Applied Machine Learning, Jupyter, Data Processing, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Predictive Analytics, Data Manipulation, Data Science, Python Programming
4.7
Rating, 4.7 out of 5 stars
89 reviews
Intermediate · Guided Project · Less Than 2 Hours
Status: Free
University of Leeds
Programming for Data Science
Skills you'll gain: Jupyter, Programming Principles, Computer Programming, Python Programming, Development Environment, Scripting, Statistical Programming, Data Structures, Data Manipulation, Debugging
4.3
Rating, 4.3 out of 5 stars
24 reviews
Beginner · Course · 1 - 4 Weeks
University of Michigan
Python for Everybody
Skills you'll gain: Web Scraping, Data Processing, Relational Databases, JSON, Database Design, SQL, Network Protocols, Databases, Web Services, Restful API, Programming Principles, Data Cleansing, Data Structures, Data Storytelling, Data Collection, Computer Programming, Python Programming, Data Manipulation, Development Environment, Computational Thinking
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
277K reviews
Beginner · Specialization · 3 - 6 Months
IBM
Tools for Data Science
Skills you'll gain: Jupyter, Data Visualization Software, Data Science, GitHub, Big Data, R Programming, Statistical Programming, Application Programming Interface (API), Machine Learning, Cloud Computing, Git (Version Control System), Python Programming, SQL
4.5
Rating, 4.5 out of 5 stars
30K reviews
Beginner · Course · 1 - 3 Months
IBM
Applied Data Science with R
Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Shiny (R Package), Data Visualization, Data Wrangling, Dashboard, Exploratory Data Analysis, Statistical Visualization, Relational Databases, Data Analysis, Ggplot2, Database Design, Data Presentation, SQL, Plot (Graphics), Database Management, Data Manipulation, R Programming, Web Scraping
4.5
Rating, 4.5 out of 5 stars
1.2K reviews
Beginner · Specialization · 3 - 6 Months