Statistics For Data Science Courses
Statistics for Data Science courses can help you learn data visualization, hypothesis testing, regression analysis, and probability theory. You can build skills in interpreting data trends, making predictions, and conducting A/B testing. Many courses introduce tools like R, Python, and SQL, that support analyzing datasets and implementing statistical models. By engaging with these tools, you can effectively apply statistical methods to real-world data challenges, enhancing your ability to draw meaningful insights.
Popular Statistics For Data Science Courses and Certifications
Status: Free TrialUniversity of London
Skills you'll gain: Pandas (Python Package), NumPy, Probability & Statistics, Unsupervised Learning, Statistics, Data Analysis, Statistical Analysis, Jupyter, Data Manipulation, Machine Learning Algorithms, Descriptive Statistics, Matplotlib, Data Visualization Software, Python Programming, Machine Learning, Data Preprocessing
Status: PreviewUniversity of London
Skills you'll gain: Descriptive Statistics, Statistics, Probability & Statistics, Statistical Hypothesis Testing, Data Visualization, Data-Driven Decision-Making, Statistical Modeling, Data Analysis, Probability, Probability Distribution, Sampling (Statistics), Risk Modeling, Statistical Inference, Mathematical Modeling
Status: PreviewUniversity of California, Santa Cruz
Skills you'll gain: Scientific Visualization, Data Literacy, Data Visualization Software, Animations, Data Presentation, Video Editing, Data Storytelling, Adobe After Effects, Graphics Software, Visualization (Computer Graphics), Storyboarding, Adobe Premiere, Peer Review, Motion Graphics, Autodesk Maya, Post-Production, Computer Graphic Techniques, Technical Communication, Style Guides, Professional Development
Status: Free TrialSkills you'll gain: Data Storytelling, Model Evaluation, Feature Engineering, Exploratory Data Analysis, Data Science, Machine Learning, Data Analysis, Data Preprocessing, Matlab, Technical Communication, Predictive Modeling, Data Manipulation, Data Import/Export
Status: Free TrialSkills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Data Visualization, Dashboard, Ggplot2, Plot (Graphics), Shiny (R Package), R Programming, Leaflet (Software), Data Analysis, Scatter Plots, Box Plots, Data Science, Spatial Data Analysis, Histogram, UI Components, Application Deployment
Status: Free TrialSkills you'll gain: Data Visualization, Interactive Data Visualization, Data Import/Export, Technical Communication, Data Analysis, Exploratory Data Analysis, Data Visualization Software, Data Cleansing, Matlab, Statistical Analysis, Probability & Statistics, Descriptive Statistics, Data Manipulation, Data Mapping, Scripting
Status: Free TrialJohns Hopkins University
Skills you'll gain: Biostatistics, Statistical Visualization, Epidemiology, Quantitative Research, Descriptive Statistics, Probability & Statistics, Statistical Methods, Probability Distribution, Statistics, Public Health, Sample Size Determination
Status: Free TrialUniversity of Pennsylvania
Skills you'll gain: Matplotlib, Data Analysis, Pandas (Python Package), Data Visualization, Data Science, Data Cleansing, Pivot Tables And Charts, Data Visualization Software, Data Preprocessing, Data Manipulation, Scatter Plots, NumPy, Exploratory Data Analysis, Jupyter, Data Import/Export, Histogram, Python Programming, Data Structures, Programming Principles
Status: Free TrialSkills you'll gain: Exploratory Data Analysis, Feature Engineering, Statistical Methods, Data Preprocessing, Statistical Inference, Statistical Hypothesis Testing, Data Access, Anomaly Detection, Statistical Analysis, Data Analysis, Data Cleansing, Data Manipulation, Machine Learning, Probability & Statistics, Jupyter, Data Import/Export, Pandas (Python Package), Data Transformation, Data Quality
Status: PreviewYonsei University
Skills you'll gain: Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Geospatial Mapping, Database Management Systems, Big Data, Apache Hadoop, PostgreSQL, Network Analysis
Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage Technologies, Data Preprocessing, Data Storage, Machine Learning Algorithms, Machine Learning, Distributed Computing, Data Processing, Data Science, Statistical Methods, Model Evaluation, Descriptive Statistics
Status: Free TrialSkills you'll gain: Exploratory Data Analysis, Model Evaluation, Data Transformation, Data Analysis, Data Cleansing, Data Manipulation, Data Import/Export, Predictive Modeling, Data Preprocessing, Regression Analysis, Data Science, Statistical Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data-Driven Decision-Making, Matplotlib, Data Visualization, NumPy, Python Programming
Searches related to statistics for data science
In summary, here are 10 of our most popular statistics for data science courses
- Statistics and Clustering in Python: University of London
- Probability and Statistics: To p or not to p?: University of London
- Data-Driven Animation for Science Communication: University of California, Santa Cruz
- Data Science Project: MATLAB for the Real World: MathWorks
- Data Visualization with R: IBM
- Exploratory Data Analysis with MATLAB: MathWorks
- Summary Statistics in Public Health : Johns Hopkins University
- Data Analysis Using Python: University of Pennsylvania
- Exploratory Data Analysis for Machine Learning: IBM
- Spatial Data Science and Applications: Yonsei University
