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Statistical Modeling for Data science

Become a master of Core Stats For A Data Science Career. Master Statistical modeling and Many More

GulabChand Tejwani

Instructor

Bestseller Top Rated

What you will learn?

  • Understand what a Normal Distribution is
  • Apply Hypothesis Testing for Means
  • Understand standard deviations
  • Apply the Central Limit Theorem
  • Difference between continuous and discrete variables
  • Use the Z-Score and Z-Tables
  • what a sampling distribution is

This Course Includes

  • Recorded Lessons:  16
  • Recorded Hours:  2
  • Duration:   2 days (Avg)
  • TD Assessment Available
  • Access on Mobile

Course Description

On the off chance that you are going for a profession as a Data Scientist or Business Analyst at that point looking over your statistics abilities is something you have to do.

In any case, it's only difficult to begin... Learning/re-adapting ALL of details just appears like an overwhelming undertaking.

That is precisely why we have made this course!

Here you will rapidly get the significant details learning for a Data Scientist or Analyst.

This isn't simply one more exhausting course on details.

This course is exceptionally pragmatic.

I have particularly included true models of business difficulties to demonstrate to you how you could apply this learning to help your vocation.

In the meantime you will ace points, for example, dispersions, the z-test, the Central Limit Theorem, theory testing, certainty interims, measurable criticalness and some more!

So what are you sitting tight for?

Select now and enable your profession!

Who this course is for:

  • People working in any numerate field which requires data analysis
  • People carrying out observational or experimental studies
  • Any one who want to make career in Data Science

Course Content

16 Lessons | 1hr 12min

Frequently Asked Questions

Statistical modeling is the process of creating mathematical representations of real-world processes or systems using statistical techniques.

The course will cover topics such as probability theory, regression analysis, hypothesis testing, ANOVA (Analysis of Variance), time series analysis, and machine learning techniques relevant to statistical modeling.

The course will cover topics such as probability theory, regression analysis, hypothesis testing, ANOVA (Analysis of Variance), time series analysis, and machine learning techniques relevant to statistical modeling.

This course is designed for data scientists, analysts, and anyone interested in learning how to apply statistical methods to analyze data. It is suitable for individuals with a basic understanding of statistics and data analysis.

The course will cover topics such as probability theory, regression analysis, hypothesis testing, ANOVA (Analysis of Variance), time series analysis, and machine learning techniques relevant to statistical modeling.

While a basic understanding of statistics is beneficial, the course will start with fundamental concepts. Participants with varying levels of expertise can benefit from the content.
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(4.3)
1hr 12min
₹385 ₹3499
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