Quantitative Courses
Quantitative courses can help you learn statistical analysis, data visualization, probability theory, and regression techniques. You can build skills in interpreting data trends, conducting hypothesis testing, and making data-driven decisions. Many courses introduce tools like R, Python, and Excel, that support performing complex calculations and analyzing datasets. You'll also explore key topics such as time series analysis, experimental design, and predictive modeling, equipping you to tackle real-world data challenges effectively.
Popular Quantitative Courses and Certifications
Status: NewStatus: Free TrialSkills you'll gain: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics
Status: Free TrialJohns Hopkins University
Skills you'll gain: Integral Calculus, Calculus, Geometry, Applied Mathematics, Mechanics, Engineering Calculations, Mathematical Modeling, Physics
Status: NewStatus: PreviewSkills you'll gain: Data Analysis Expressions (DAX), Microsoft Excel, Excel Formulas, Pivot Tables And Charts, Dashboard, Data Processing, Data Presentation, Data Transformation, Data Analysis, Data Visualization, Barcoding, Microsoft PowerPoint, Data Import/Export
Status: PreviewNortheastern University
Skills you'll gain: Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Data Wrangling, Probability & Statistics, Unsupervised Learning, Data Science, Text Mining, Data Manipulation, Statistical Analysis, Data Structures, Data Cleansing, Programming Principles, Data Visualization Software, Python Programming
Searches related to quantitative
In summary, here are 4 of our most popular quantitative courses
- Data Science Fundamentals Part 2: Unit 2:Â Pearson
- Calculus through Data & Modelling: Integration Applications:Â Johns Hopkins University
- Excel Data Analysis and DAX Essentials Course:Â Simplilearn
- Data Analytics Engineering: Probability & Techniques:Â Northeastern University
