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Probability & Statistics courses

Probability and statistics courses explore mathematical concepts for analyzing random events and interpreting data through models and inference. Use tools such as Python, R, Excel and Google Sheets to apply your theoretical knowledge in statistics.

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Recommended for Probability & Statistics beginners

Build your Probability & Statistics skills with interactive courses, curated by real-world experts

Kurs

Introduction to Statistics in R

MedelnivåKunskapsnivå
4.7+
2 022 recensioner
4 tim
Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.

Lärstig

Statistiker i R

4.5+
7 recensioner
52 tim
En statistiker samlar in och analyserar data och hjälper företag att förstå kvantitativa data, inklusive att upptäcka trender och göra förutsägelser.

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Utforska kurser och inlärningsvägar inom Probability & Statistics

Kurs

Practicing Statistics Interview Questions in R

AvanceradKunskapsnivå
4.7+
20 recensioner
4 tim
In this course, youll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.

Kurs

ChIP-seq with Bioconductor in R

MedelnivåKunskapsnivå
4.7+
48 recensioner
4 tim
Learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset.

Kurs

Intermediate Network Analysis in Python

AvanceradKunskapsnivå
4.8+
76 recensioner
4 tim
Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.

Kurs

Analyzing Survey Data in Python

MedelnivåKunskapsnivå
4.6+
51 recensioner
4 tim
Learn how to analyze survey data with Python and discover when it is appropriate to apply statistical tools that are descriptive and inferential in nature.

Kurs

Building Response Models in R

MedelnivåKunskapsnivå
4.8+
29 recensioner
4 tim
Learn to build simple models of market response to increase the effectiveness of your marketing plans.

Kurs

Bayesian Modeling with RJAGS

AvanceradKunskapsnivå
4.8+
47 recensioner
4 tim
In this course, youll learn how to implement more advanced Bayesian models using RJAGS.

Kurs

Forecasting Product Demand in R

MedelnivåKunskapsnivå
4.6+
29 recensioner
4 tim
Learn how to identify important drivers of demand, look at seasonal effects, and predict demand for a hierarchy of products from a real world example.

Kurs

Introduction to Anomaly Detection in R

MedelnivåKunskapsnivå
4.8+
25 recensioner
4 tim
Learn statistical tests for identifying outliers and how to use sophisticated anomaly scoring algorithms.

Kurs

Mixture Models in R

MedelnivåKunskapsnivå
4.7+
22 recensioner
4 tim
Learn mixture models: a convenient and formal statistical framework for probabilistic clustering and classification.

Kurs

Probability Puzzles in R

GrundläggandeKunskapsnivå
4.8+
66 recensioner
4 tim
Learn strategies for answering probability questions in R by solving a variety of probability puzzles.

Kurs

Case Studies: Network Analysis in R

GrundläggandeKunskapsnivå
4.7+
43 recensioner
4 tim
Apply fundamental concepts in network analysis to large real-world datasets in 4 different case studies.

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    Frequently asked questions

    How does probability and statistics related to data science?

    Probability and statistics are foundational to data science, offering the tools and frameworks necessary for analyzing data, making predictions, and deriving meaningful insights. They enable data scientists to understand patterns, assess uncertainties, and make informed decisions based on data analysis.

    Why is it important to develop knowledge in probability and statistics?

    Developing knowledge in probability and statistics is crucial for effectively interpreting data and making reliable predictions. This understanding forms the basis for designing experiments, analyzing results, and validating conclusions in various fields, ensuring decisions are data-driven and evidence-based.

    What careers can I pursue with knowledge in probability and statistics?

    With knowledge in probability and statistics, you can pursue a wide array of careers such as data scientist, market researcher, machine learning engineer, statistical analyst, and risk manager. These roles span various industries including finance, healthcare, technology, and government, where interpreting data and making evidence-based decisions are key.

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