Free online courseStatistics for Data Science

Duration of the online course: 10 hours and 53 minutes

New course

Free online course on Statistics for Data Science. Learn basic to advanced statistics with Python, and prepare for data science interviews. Ideal for beginners to intermediates.

Course Description

Welcome to "Statistics for Data Science," a course meticulously crafted to equip you with the foundational pillars and advanced techniques in statistics essential for data science. Spanning over 10 hours and 53 minutes, this comprehensive program delves deeply into various statistical concepts, making it an invaluable resource for those aspiring to excel in data science.

As part of the Basic studies category under the Statistics subcategory, this course begins with an introductory session that lays down the significance of statistics in the realm of data science. Live Day 1 sets the stage by covering fundamental concepts, ensuring you grasp the core principles that will be built upon in subsequent sessions.

Transitioning from basic to intermediate statistics, Live Day 2 bridges the initial foundational knowledge to more intricate statistical techniques. This segment is designed to elevate your understanding, ensuring you are well-versed with essential statistical methods that are pertinent in data science.

On Live Day 3, the focus shifts towards integrating Python with intermediate statistics. By incorporating Python, a powerful programming language widely used in data science, you start to see how these statistical techniques can be practically applied to real-world data sets. This hands-on approach not only solidifies theoretical knowledge but also enhances your computational skills.

Live Days 4, 5, and 6 are dedicated to advanced statistics with Python. These sessions are an in-depth exploration into sophisticated statistical methods. They enable you to tackle complex data science problems more effectively. The three-day span allows for a detailed and thorough understanding, ensuring you are adept at using advanced statistical tools and techniques.

The course then moves to summarizing statistics with Python in Live Day 7. This session encapsulates the journey so far, providing an overview and summary that ties together all the concepts learned. By the end of this session, you'll have a comprehensive understanding of statistics in the context of data science, capable of summarizing and interpreting complex data with ease.

To conclude, the course includes a valuable video titled "Watch This Video To Crack Any Stats Interview For Data Scientist," which focuses on understanding Probability Density Function (PDF), Probability Mass Function (PMF), and Cumulative Distribution Function (CDF). This video is specially designed to prepare you for interviews, ensuring you can confidently discuss and apply statistical concepts during your job search.

While the course currently holds no reviews, the meticulously structured content and the practical application of Python for data science make it a quintessential program for anyone looking to strengthen their statistical acumen in data science. Embark on this educational voyage and transform your proficiency in statistics to new heights.

Conteúdo do Curso

  • Video class: Live Day 1- Introduction To statistics In Data Science

    1h29m

  • Exercise: What type of sampling involves dividing the population into non-overlapping groups?

  • Video class: Live Day 2- Basic To Intermediate Statistics

    1h26m

  • Exercise: In statistics, what is meant by a measure of central tendency?

  • Video class: Live Day 3- Intermediate Statistics With Python In Data Science

    1h34m

  • Exercise: In statistics, which of the following distributions is known for its bell-shaped curve and is symmetrical around the mean?

  • Video class: Live Day 4- Advance Statistics With Python In Data Science

    1h31m

  • Exercise: In hypothesis testing, what is the purpose of setting a significance level (alpha)?

  • Video class: Live Day 5- Advance Statistics With Python In Data Science

    1h32m

  • Exercise: In hypothesis testing, if a test results in rejecting the null hypothesis when it is actually true, this is known as:

  • Video class: Live Day 6- Advance Statistics With Python In Data Science

    1h38m

  • Exercise: In the context of statistical tests, what is the primary purpose of conducting a chi-square test?

  • Video class: Live Day 7- Summarizing Statistics With Python In Data Science

    1h21m

  • Exercise: What principle does the Pareto distribution highlight with its 80-20 rule?

  • Video class: Watch This Video To Crack Any Stats Interview For Data Scientist- Understanding PDF,PMF and CDF

    0h19m

  • Exercise: When considering probability functions, which type is used to describe a discrete random variable?

Statistics for Data Science

Free online courses on Statistics for Data Science

Free Courses on Statistics for Data Science

Unlock the power of data with our curated list of free courses on Statistics for Data Science. Whether you're a beginner looking to dip your toes into the world of data or an experienced professional aiming to refine your skills, these courses offer a comprehensive pathway to mastering statistical techniques essential for data science. Dive into topics like probability, hypothesis testing, regression analysis, and more, all at no cost!

Statistics is the backbone of data science, providing the tools and methodologies required to make sense of complex datasets. These free courses are designed to equip you with the knowledge and skills needed to analyze data, draw meaningful insights, and make data-driven decisions. Each course is crafted by industry experts and leading academic institutions, ensuring you receive top-quality education without breaking the bank.

Explore our extensive list of free Statistics for Data Science courses and take the first step towards becoming a data-savvy professional. Whether you're interested in learning the basics or delving into advanced statistical methods, there's a course for everyone. Enhance your career prospects and stay ahead in the competitive field of data science by enrolling in these free courses today!

Featured Free Courses on Statistics for Data Science:

  • Introduction to Probability and Statistics: Learn the fundamental concepts of probability and statistics, including distributions, random variables, and statistical inference.
  • Statistical Methods for Data Science: Dive deeper into statistical techniques such as hypothesis testing, ANOVA, and regression analysis tailored for data science applications.
  • Data Science: Statistical Learning: Explore statistical learning methods, including supervised and unsupervised learning, with practical examples and case studies.
  • Applied Statistics with R: Gain hands-on experience with statistical analysis using the R programming language, a popular tool among data scientists.
  • Bayesian Statistics for Data Science: Understand the principles of Bayesian statistics and how they apply to real-world data science problems.
  • Advanced Statistical Modeling: Master advanced statistical models and techniques, including multivariate analysis and time series forecasting.
  • Statistics for Machine Learning: Learn the statistical foundations necessary for building and evaluating machine learning models.

Each course offers a flexible learning schedule, allowing you to progress at your own pace. With interactive content, real-world examples, and practical exercises, you'll be able to apply statistical concepts directly to your data science projects. Plus, many of these courses provide certificates upon completion, adding value to your professional portfolio.

Don't miss out on this opportunity to enhance your statistical knowledge and boost your data science career. Start learning today with our selection of free Statistics for Data Science courses and join the ranks of data-driven professionals transforming industries worldwide.

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Ready to embark on your learning journey? Check out our list of free courses on Statistics for Data Science and start mastering the art of data analysis and interpretation today!

This free course includes:

10 hours and 53 minutes of online video course

Exercises to train your knowledge

Certificate of course completion

100% free, from content to certificate

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