Statistics for Data Science and Business Analytics Bootcamp

Simpliv

Course

Online

£ 40 VAT inc.

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Description

  • Type

    Course

  • Methodology

    Online

  • Start date

    Different dates available

If you are starting a career in Data Science or Business Analysis, then this course will help you to Built a Strong FoundationThis course is Very Practical, Easy to Understand and Every Concept is explained with an exampleI have specifically included real-world examples to show, how you could apply this knowledge to boost YOUR careerWe'll cover everything you need to know about statistics and probability for Data Science and Business Analysis!Including:Levels of Measurement
Measures of Central Tendency
Population and Sample
Population Standard Variance
Quartiles and IQR
Permutations,Combinations
Intersection, Union and Complement
Independent and Dependent Events
Conditional Probability
Bayes’ Theorem
Uniform Distribution, Binomial Distribution
Poisson Distribution, Normal Distribution, Skewness
Standardization and Z Score
Central Limit Theorem
Hypothesis Testing, Type I and Type II Error
Students T-Distribution
ANOVA - Analysis of Variance
F Distribution
Linear Regression and much more...So what are you waiting for?Enroll now and empower your career!

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now open

About this course

Understand the Fundamentals of Statistics
Understand the basics of Probability
Learn how to work with Different Types of Data
Distinguish and work with Different Types of Distributions
Apply statistical methods and hypothesis testing to business problems
Understand all the concepts needed for data science
Understand the working of Regression Analysis
Implement one way and two way ANOVA
Learn Chi-Square Analysis
Understand Central Limit Theorem

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Reviews

This centre's achievements

2021

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 4 years

Subjects

  • Business Analysis
  • Testing
  • Statistics
  • Probability

Course programme

Introduction 1 lecture 02:16 Introduction Introduction 1 lecture 02:16 Introduction Introduction Introduction Introduction Introduction Statistic Basic 6 lectures 36:52 Data Levels of Measurement Measures of Central Tendency Population and Sample Measures of Dispersion Quartiles and IQR Statistic Basic 6 lectures 36:52 Data Levels of Measurement Measures of Central Tendency Population and Sample Measures of Dispersion Quartiles and IQR Data Data Data Data Levels of Measurement Levels of Measurement Levels of Measurement Levels of Measurement Measures of Central Tendency Measures of Central Tendency Measures of Central Tendency Measures of Central Tendency Population and Sample Population and Sample Population and Sample Population and Sample Measures of Dispersion Measures of Dispersion Measures of Dispersion Measures of Dispersion Quartiles and IQR Quartiles and IQR Quartiles and IQR Quartiles and IQR Probability 8 lectures 34:35 Introduction to Probability Permutations Combinations Intersection, Union and Complement Independent and Dependent Events Conditional Probability Addition and Multiplication Rules Bayes’ Theorem Probability 8 lectures 34:35 Introduction to Probability Permutations Combinations Intersection, Union and Complement Independent and Dependent Events Conditional Probability Addition and Multiplication Rules Bayes’ Theorem Introduction to Probability Introduction to Probability Introduction to Probability Introduction to Probability Permutations Permutations Permutations Permutations Combinations Combinations Combinations Combinations Intersection, Union and Complement Intersection, Union and Complement Intersection, Union and Complement Intersection, Union and Complement Independent and Dependent Events Independent and Dependent Events Independent and Dependent Events Independent and Dependent Events Conditional Probability Conditional Probability Conditional Probability Conditional Probability Addition and Multiplication Rules Addition and Multiplication Rules Addition and Multiplication Rules Addition and Multiplication Rules Bayes’ Theorem Bayes’ Theorem Bayes’ Theorem Bayes’ Theorem Distributions 7 lectures 51:40 Introduction to Distribution Uniform Distribution Binomial Distribution Poisson Distribution Normal Distribution Skewness Standardization and Z Score Distributions 7 lectures 51:40 Introduction to Distribution Uniform Distribution Binomial Distribution Poisson Distribution Normal Distribution Skewness Standardization and Z Score Introduction to Distribution Introduction to Distribution Introduction to Distribution Introduction to Distribution Uniform Distribution Uniform Distribution Uniform Distribution Uniform Distribution Binomial Distribution Binomial Distribution Binomial Distribution Binomial Distribution Poisson Distribution Poisson Distribution Poisson Distribution Poisson Distribution Normal Distribution Normal Distribution Normal Distribution Normal Distribution Skewness Skewness Skewness Skewness Standardization and Z Score Standardization and Z Score Standardization and Z Score Standardization and Z Score Central Limit Theorem 1 lecture 08:55 Central Limit Theorem Central Limit Theorem 1 lecture 08:55 Central Limit Theorem Central Limit Theorem Central Limit Theorem Central Limit Theorem Central Limit Theorem Hypothesis Testing 8 lectures 01:30:57 Hypothesis Testing and Hypothesis Formulation Null and Alternative Hypothesis Important Concepts in Hypothesis Testing Exercise 1 Exercise 2 Type I and Type II Error Students T-Distribution Exercises on Students T-Distribution Hypothesis Testing

Additional information

Basic knowledge of high school Mathematics We will start from the basics and gradually build up your knowledge, Everything is covered in the course!

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Statistics for Data Science and Business Analytics Bootcamp

£ 40 VAT inc.

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