Statistics and Mathematics for Analytics involves the study of statistical methods and mathematical concepts used in data analysis, interpretation, and modeling within the field of analytics. It includes a range of mathematical and statistical techniques applied to extract meaningful insights from data, make predictions, and aid in decision-making.

Note: Please note that the course comes with online e-learning (videos) only. No hard copy will be provided.

Why should one take Statistics and Mathematics for Analytics Certification?

Statistical and mathematical models form the foundation of predictive analytics, enabling organizations to forecast trends, behaviors, and outcomes. Proficiency in mathematics and statistics is crucial for developing and improving machine learning algorithms and AI models.

Vskills Certificate in Statistics and Mathematics for Analytics provides a hands-on approach to understand the nuances of statistics and mathematics for analytics.

Who will benefit from taking Statistics and Mathematics for Analytics Certification?

Data Analysts, Data Scientists, Business Analysts and Decision-Makers will benefit immensely by opting for Vskills Certificate in Statistics and Mathematics for Analytics to gain an edge in the Statistics and Mathematics for Analytics and be noticeable amongst their colleagues as well as make progress in their respective careers.

Students taking the certification also gain by showcasing their understanding of Statistics and Mathematics for Analytics and are able to increase their job opportunities.

Companies that hire Statistics and Mathematics for Analytics Professionals

Consulting firms, financial institutions, tech companies and startups are constantly hiring skilled professionals in statistics and mathematics for analytics. IT companies, MNCs hire Statistics and Mathematics for Analytics professionals for analytics testing related tasks. Companies employing Statistics and Mathematics for Analytics professionals include Google, TCS, Accenture, IBM, Tech Mahindra, GE, Amex, Deloitte, Wipro, etc.

Statistics and Mathematics for Analytics Related Blogs

Checkout the latest online blogs on Statistics and Mathematics for Analytics Professional.

Statistics and Mathematics for Analytics Jobs

Checkout the various job openings for Statistics and Mathematics for Analytics Professional, click here..

Statistics and Mathematics for Analytics Internships

Vskills runs its flagship internship program where bright interns work with academic council, click to know more details..

Apply for Statistics and Mathematics for Analytics Professional Certification

By Net banking / Credit Card/Debit Card

We accept Visa/Master/Amex cards and all Indian Banks Debit Cards. There is no need to fill the application form in case you are paying online.

Please click Buy Now to proceed with online payments.

Buy Now

TABLE OF CONTENT

Let's Get Started

Welcome!
What Will You Learn in This Course?
How Can You Get the Most Out of It?

Descriptive Statistics

Introduction
Mean
Median
Mode
Mean or Median?
Skewness
Practice: Skewness
Solution: Skewness
Range and IQR
Sample Versus Population
Variance and Standard Deviation
Impact of Scaling and Shifting
Statistical Moments

Distributions

What Is Distribution?
Normal Distribution
Z-Scores
Practice: Normal Distribution
Solution: Normal Distribution

Probability Theory

Introduction
Probability Basics
Calculating Simple Probabilities
Practice: Simple Probabilities
Quick Solution: Simple Probabilities
Detailed Solution: Simple Probabilities
Rule of Addition
Practice: Rule of Addition
Quick Solution: Rule of Addition
Detailed Solution: Rule of Addition
Rule of Multiplication
Practice: Rule of Multiplication
Solution: Rule of Multiplication
Bayes Theorem
Bayes Theorem - Practical Example
Expected Value
Practice: Expected Value
Solution: Expected Value
Law of Large Numbers
Central Limit Theorem - Theory
Central Limit Theorem - Intuition
Central Limit Theorem - Challenge
Central Limit Theorem - Exercise
Central Limit Theorem - Solution
Binomial Distribution
Poisson Distribution
Real-Life Problems

Hypothesis Testing

Introduction
What Is a Hypothesis?
Significance Level and P-Value
Type I and Type II Errors
Confidence Intervals and Margin of Error
Excursion: Calculating Sample Size and Power
Performing the Hypothesis Test
Practice: Hypothesis Test
Solution: Hypothesis Test
t-test and t-distribution
Proportion Testing
Important p-z Pairs

Regressions

Introduction
Linear Regression
Correlation Coefficient
Practice: Correlation
Solution: Correlation
Practice: Linear Regression
Solution: Linear Regression
Residual, MSE, and MAE
Practice: MSE and MAE
Solution: MSE and MAE
Coefficient of Determination
Root Mean Square Error
Practice: RMSE
Solution: RMSE

Advanced Regression and Machine Learning Algorithms

Multiple Linear Regression
Overfitting
Polynomial Regression
Logistic Regression
Decision Trees
Regression Trees
Random Forests
Dealing with Missing Data

ANOVA (Analysis of Variance)

ANOVA - Basics and Assumptions
One-Way ANOVA
F-Distribution
Two-Way ANOVA – Sum of Squares
Two-Way ANOVA – F-Ratio and Conclusions

Certificate in Statistics and Mathematics for Analytics

How It Works

Test Details

Benefits of Certification

Why should one take Statistics and Mathematics for Analytics Certification?

Who will benefit from taking Statistics and Mathematics for Analytics Certification?

Statistics and Mathematics for Analytics Table of Contents

Statistics and Mathematics for Analytics Practice Questions

Statistics and Mathematics for Analytics Interview Questions

Companies that hire Statistics and Mathematics for Analytics Professionals

Apply for Statistics and Mathematics for Analytics Professional Certification

TABLE OF CONTENT

Let's Get Started

Descriptive Statistics

Distributions

Probability Theory

Hypothesis Testing

Regressions

Advanced Regression and Machine Learning Algorithms

ANOVA (Analysis of Variance)