Statistics and Data Science in R Course
R Programming for Data Science & Data Analysis. Applying R for Statistics and Data Visualization with GGplot2 in R
Tailored for aspiring statisticians, data scientists, and analysts, this program provides a deep dive into statistical concepts and practical applications using the R programming language.
What You Will Learn:
- Foundations of Statistics:
- Gain a solid understanding of fundamental statistical concepts, including probability, hypothesis testing, and confidence intervals.
- Explore the principles of statistical inference and how it applies to real-world data analysis.
- Data Exploration and Visualization in R:
- Learn how to use R for effective data exploration and visualization.
- Master data visualization techniques to uncover patterns, trends, and outliers in datasets.
- Descriptive Statistics:
- Dive into descriptive statistics to summarize and interpret key features of datasets.
- Explore measures of central tendency, dispersion, and the shape of distributions.
- Inferential Statistics with R:
- Understand how to conduct inferential statistics, including t-tests, ANOVA, and chi-square tests.
- Learn how to make informed decisions based on statistical analysis.
- Regression Analysis:
- Explore regression analysis for modeling relationships between variables.
- Understand linear and logistic regression models and their applications.
- Statistical Modeling in R:
- Learn how to build and interpret statistical models using R.
- Explore advanced statistical techniques for modeling complex relationships in data.
- Time Series Analysis:
- Dive into time series analysis for understanding and forecasting temporal data.
- Learn how to use R for time series visualization, decomposition, and modeling.
- Practical Applications and Projects:
- Apply your statistical and data science knowledge through hands-on projects.
- Gain practical experience in solving real-world problems using R for statistical analysis.
Having a background in programming but limited knowledge of statistics, I found this course to be the perfect blend of theory and practical application. The R programming exercises were well-designed, and the instructors did an excellent job of demystifying complex statistical concepts.
— Emma
I enrolled in the 'Statistics and Data Science in R Course' to strengthen my statistical skills for my research work, and it exceeded my expectations. The instructors provide a clear and concise explanation of statistical concepts, making it easy to grasp even for someone with minimal R experience.
— Daniel
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