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
Skills you'll gain: Python Programming, NumPy, Data Analysis
Skills you'll gain: Excel Formulas, Data Analysis, Pivot Tables And Charts, Spreadsheet Software, Data Cleansing, Microsoft Excel, Analytics, Analysis, Data Entry, Data Import/Export, Data Wrangling, Google Sheets, Data Quality, Data Science, Data Transformation, Data Manipulation, Data Presentation, Editing
University of California, Davis
Skills you'll gain: Data Governance, SQL, Data Quality, Data Access, Data Manipulation, Data Science, Data Analysis
University of California, Davis
Skills you'll gain: Presentations, Data Governance, SQL, Data Presentation, Apache Spark, Distributed Computing, Descriptive Statistics, Data Lakes, Data Storytelling, Peer Review, Data Quality, Exploratory Data Analysis, Data Pipelines, Statistical Analysis, Data Warehousing, Data Access, Data Analysis, Complex Problem Solving, Performance Tuning, JSON
Johns Hopkins University
Skills you'll gain: Rmarkdown, Exploratory Data Analysis, R (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Visualization, Data Processing, Plot (Graphics), Statistical Programming, Statistical Visualization, Ggplot2, Knitr, Data Sharing, Statistical Reporting, GitHub, Machine Learning
University of Colorado Boulder
Skills you'll gain: Statistical Inference, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Ethics, Experimentation, Research Design, Statistical Methods, Data Science, Data Analysis, Statistics, Statistical Analysis, Predictive Modeling, Machine Learning, Model Evaluation, Logistic Regression, Linear Algebra, Classification Algorithms, Calculus
Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Model Evaluation, R (Software), Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Visualization, Knitr, Machine Learning, GitHub
Fractal Analytics
Skills you'll gain: Feature Engineering, Data Wrangling, Exploratory Data Analysis, Matplotlib, Statistical Analysis, Data Visualization, Plot (Graphics), Data Preprocessing, Statistical Methods, Seaborn, Data Science, Data Manipulation, Data Cleansing, Data Analysis, Pandas (Python Package), Statistics, Data Transformation, Descriptive Statistics, Correlation Analysis, Statistical Hypothesis Testing
Macquarie University
Skills you'll gain: Data Visualization, Statistical Inference, Statistical Hypothesis Testing, Data-Driven Decision-Making, Descriptive Statistics, Statistical Analysis, Statistical Methods, Sampling (Statistics), Excel Formulas, Spreadsheet Software, Box Plots, Time Series Analysis and Forecasting, Data Analysis Software, Statistical Modeling, Advanced Analytics, Financial Forecasting, Probability Distribution, Descriptive Analytics, Variance Analysis, Predictive Modeling
Johns Hopkins University
Skills you'll gain: Bioinformatics, Unix Commands, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Unix, Data Science, Data Management, Statistical Methods, Molecular Biology, Command-Line Interface, Statistical Hypothesis Testing, Data Analysis Software, Data Quality, Statistical Modeling, Data Structures, Code Reusability, Big Data, R Programming, Python Programming
Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Model Evaluation, Data Cleansing, Data Preprocessing, Data Manipulation, Data Analysis, Model Training, Scatter Plots, Statistical Analysis, Predictive Modeling, Regression Analysis, Statistical Methods, Data Transformation, Data Import/Export, Descriptive Statistics, Box Plots, Model Optimization, Data Visualization, Python Programming
Skills you'll gain: Data Store, Data Architecture, Apache Hadoop, Extract, Transform, Load, Relational Databases, Big Data, Data Storage, Databases, Apache Spark, Data Storage Technologies, Data Lakes, Data Warehousing, Data Governance, Data Pipelines, Data Integration, Data Processing, SQL, NoSQL, Data Security, Data Science
