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Learner Reviews & Feedback for Applied Statistics for Data Analytics by DeepLearning.AI

4.9
stars
31 ratings

About the Course

Throughout this course, you will learn the fundamental statistical concepts, analyses, and visualizations that serve as the foundation for a career as a data analyst. Whether you're new to statistics or looking to refresh your skills, this course will equip you with powerful techniques to extract meaningful insights from your data. By the end of this course, you will feel more confident and capable of implementing rigorous statistical analyses in your career as a data analyst! In the first module, you’ll explore the essential building blocks of statistics that enable rigorous data analysis. By the end, you’ll be able to define populations, samples, and sampling methods; characterize datasets using measures of central tendency, variability, and skewness; use correlation to understand relationships between features; and employ segmentation to reveal insights about different groups within your data. You’ll apply these concepts to real-world scenarios: analyzing movie ratings and durations over time, explaining customer behavior, and exploring healthcare outcomes. In the second module, you’ll cover key probability rules and concepts like conditional probability and independence, all with real-world examples you’ll encounter as a data analyst. Then you’ll explore probability distributions, both discrete and continuous. You'll learn about important distributions like the binomial and normal distributions, and how they model real-world phenomena. You’ll also see how you can use sample data to understand the distribution of your population, and how to answer common business questions like how common are certain outcomes or ranges of outcomes? Finally, you’ll get hands on with simulation techniques. You'll see how to generate random data following specific distributions, allowing you to model complex scenarios and inform decision-making. In modules 3 and 4, you'll learn powerful techniques to draw conclusions about populations based on sample data. This is your first foray into inferential statistics. You’ll start by constructing confidence intervals - a way to estimate population parameters like means and proportions with a measure of certainty. You'll learn how to construct and interpret these intervals for both means and proportions. You’ll also visualize how this powerful technique helps you manage the inherent uncertainty when investigating many business questions. Next, you’ll conduct hypothesis testing, a cornerstone of statistical inference that helps you determine whether an observed difference reflects random variation or a true difference. You'll discover how to formulate hypotheses, calculate test statistics, and interpret p-values to make data-driven decisions. You’ll learn tests for means and proportions, as well as how to compare two samples. Throughout the course, you’ll use large language models as a thought partner for descriptive and inferential statistics. You'll see how AI can help formulate hypotheses, interpret results, and even perform calculations and create visualizations for those statistics....
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1 - 10 of 10 Reviews for Applied Statistics for Data Analytics

By Alireza S

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Aug 5, 2024

The course was awesome! At first I thought the initial quiz exams have low number of questions but the final quiz had sufficient questions. Also, working with google sheets and submitting the answers were interesting! Only the up and down arrows on numerical value text areas changes due to mouse focus on them (Learners must review their answers before submitting to ensure their values are correct).

By Todd L

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Apr 17, 2025

Great course. Really well organized and structured. Plus there are a few visual gags along the way :) I wasn't expecting to get much out of the parts where they show you how to work with LLMs, but it was very useful. You learn some good prompting techniques.

By Akanksha S

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Mar 27, 2025

I have done many statistics courses and i always get lost in the formulas rather than understanding the core principle reason behind. The excel implementation are great it definitely helps a lot!!. Looking forward to the other 3 courses to be released.

By A F

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May 13, 2025

Excelent course for applied statistics. Very well organised by the DeepLearning.AI team and beautifully and smoothly presented by Sean Barnes. To the point and with respect for the learner time. Well done. Thank you!!!

By Christian J P H

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Jul 20, 2025

Every time im getting into feeling more confident with data. I was amazed because this was finally an up to date formation, in which I was able to think using LMMs and so on, it was just excellent.

By Manfredo W

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Mar 27, 2025

really awesome and informative, could have been a little deeper into two sample test and anova

By Varun H

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Jul 11, 2025

Informative and easy to grasp

By Dinh T

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Jul 1, 2025

Really good course

By Danny A

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Apr 9, 2025

.

By Yhobany M G

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Jun 25, 2025

Una manera clara para introducirse en el mundo del analisis estadistico sobre todo para aquellos que no tenemos pocos o ningun conocimiento al respecto.