Course Features

Price

Original price was: £490.00.Current price is: £14.99.

Study Method

Online | Self-paced

Course Format

Reading Material - PDF, article

Duration

21 hours, 55 minutes

Qualification

No formal qualification

Certificate

At completion

Additional info

Coming soon

Overview

Over View
Who is this course for
Requirments
Career Path

Who is this course for?

Over View
Who is this course for
Requirments
Career Path

Requirements

Over View
Who is this course for
Requirments
Career Path

Career path

Over View
Who is this course for
Requirments
Career Path

    • Introduction to Statistics 00:10:00
    • Types of Statistical Analysis – Descriptive Statistics 00:10:00
    • Types of Statistical Analysis – Inferential Statistics 00:10:00
    • Relationship Between Statistics and Machine Learning 00:10:00
    • Understanding Types of Data 00:10:00
    • Resampling Techniques 00:10:00
    • Measures of Central Tendency 00:10:00
    • Measures of Dispersion – Range and Interquartile Range 00:10:00
    • Measures of Dispersion – Variance and Standard Deviation 00:10:00
    • Hands-On Exercise with Python 00:10:00
    • Measures of Shape 00:10:00
    • Measures of Position 00:10:00
    • Standard Scores 00:10:00
    • Descriptive Statistics Hands-On 00:10:00
    • Problem Statement – Wine Reviews Dataset Analysis 00:10:00
    • Solution for Project 1 00:10:00
    • Project 2 – Customer Income Data Analysis 00:10:00
    • Solution for Project 2 00:10:00
    • Project 3 – US Arrests Dataset 00:10:00
    • Solution for Project 3 00:10:00
    • Solution for Big Mart Data Analysis 00:10:00
    • Project 4 – BigMart Sales Data Analysis 00:10:00
    • Introduction to EDA 00:10:00
    • Types of Data Analysis 00:10:00
    • Univariate Non-Graphical EDA – Outlier Analysis 00:10:00
    • Univariate Graphical EDA – Hands-On 00:10:00
    • Multivariate Non-Graphical EDA 00:10:00
    • Multivariate Graphical EDA 00:10:00
    • Steps in EDA 00:10:00
    • Summary of Graphical EDA Techniques 00:10:00
    • Hands-On EDA on Titanic Dataset 00:10:00
    • Project 5 – Crimes in Boston City 00:10:00
    • Project 5 – Solution 00:10:00
    • Project 6 – PUBG Game Analysis 00:10:00
    • Project 6 – Solution 00:10:00
    • Project 7 – FIFA Game Analysis 00:10:00
    • Project 7 – Solution 00:10:00
    • Project 8 – Covid-19 Data Analysis 00:10:00
    • Project 8 – Solution 00:10:00
    • Introduction to Probability 00:10:00
    • Key Terminology of Probability 00:10:00
    • Rules of Probability 00:10:00
    • Marginal and Joint Probability 00:10:00
    • Disjoint and Non-Disjoint Events 00:10:00
    • Independent and Dependent Events 00:10:00
    • Product Rule for Dependent and Independent Events 00:10:00
    • Practical Task with Manifold Bank to Compute Probability 00:10:00
    • Bayes Theorem 00:10:00
    • Bayes Theorem in Data Science 00:10:00
    • Hands-On Bayes Algorithm in Python 00:10:00
    • Random Variables 00:10:00
    • Various Distribution Functions 00:10:00
    • Central Limit Theorem and Hands-On 00:10:00
    • Applications of Probability Distributions 00:10:00
    • Hands-On: Transforming Data to Get Normal Distribution Curve 00:10:00
    • Example Problems for Probability 00:10:00
    • Project 9 – Cars Dataset Solution 00:10:00
    • Hands-On Bayes Theorem 00:10:00
    • Project 10 – Hands-On Normal Distribution and CDF 00:10:00
    • Hands-On – Generate Discrete & Continuous Random Numbers 00:10:00
    • Introduction to Inferential Statistics 00:10:00
    • Key Terminology of Inferential Statistics 00:10:00
    • Hands-On – Population and Sample 00:10:00
    • Types of Statistical Inference 00:10:00
    • Confidence Interval, Margin of Error, and Estimation 00:10:00
    • Demo – Margin of Error and Confidence Interval 00:10:00
    • Understanding Hypothesis Testing – Key Steps & Concepts 00:10:00
    • Z-Test Explained – Theory & Example Problem 00:10:00
    • Z-Test Hands-On – Step-by-Step Solution 00:10:00
    • One-Sample t-Test – Introduction & Use Cases 00:10:00
    • One-Sample t-Test Hands-On Practice 00:10:00
    • Two-Sample t-Test – Comparing Means Between Two Groups 00:10:00
    • Two-Sample t-Test Hands-On Practice 00:10:00
    • Paired Sample t-Test – When & How to Use It 00:10:00
    • Paired Sample t-Test Hands-On Practice 00:10:00
    • Chi-Square Goodness of Fit – Introduction & Application 00:10:00
    • Chi-Square Test Hands-On Practice 00:10:00
    • ANOVA – Analysis of Variance Simplified 00:10:00
    • ANOVA Hands-On Practice 00:10:00
    • Project 11 Inferential Statistics 00:10:00
    • Project 11 – Solution 00:10:00
    • Project 12 – Blood Pressure Health Dataset 00:10:00
    • Project 12 – Solution 00:10:00
    • Project 13 – Student Admissions Dataset 00:10:00
    • Project 13 – Solution 00:10:00
    • Introduction to Regression: What, Why, and Types of Problems 00:10:00
    • Assumptions of Linear Regression 00:10:00
    • Intuition of Linear Regression 00:10:00
    • Linear Regression with Normal Equation 00:10:00
    • Apply Linear Regression Using Scikit-Learn – Hands-On 00:10:00
    • Checking Assumptions of Linear Regression – Hands-On 00:10:00
    • How Good Is Your Fit? 00:10:00
    • Minimization of Error and Gradient Descent 00:10:00
    • Gradient Descent Hands-On Part 1 00:10:00
    • Gradient Descent Hands-On Part 2 00:10:00
    • Project 14 – Implementation of Linear Regression Using StatsModels 00:10:00
    • Project 14 – Solution 00:10:00
    • Project 15 – Salary Prediction Problem Statement 00:10:00
    • Project 15 – Solution 00:10:00
    • Project 16 – House Price Prediction Dataset 00:10:00
    • Project 16 – Solution 00:10:00
    • Project 17 – Medical Cost Prediction 00:10:00
    • Project 17 – Solution 00:10:00
    • Project 18 – Company Profit Prediction 00:10:00
    • Project 18 – Solution 00:10:00
    • Introduction to Logistic Regression 00:10:00
    • Hands-On – Logistic Regression Plot 00:10:00
    • Assumptions of Logistic Regression 00:10:00
    • Logistic Regression from Scratch 00:10:00
    • Project 19 – Diabetes Prediction 00:10:00
    • Project 19 – Solution 00:10:00
    • Project 20 – Heart Disease Prediction 00:10:00
    • Project 20 – Solution 00:10:00
    • Project 21 – Titanic Survival Dataset 00:10:00
    • Project 21 – Solution 00:10:00
    • Project 22 – Nursery Student Dataset 00:10:00
    • Project 22 – Solution 00:10:00
    • Resampling Techniques 00:10:00
    • Cross-Validation Techniques – Hands-On 00:10:00
    • Project 23 – Flight Price Prediction 00:10:00
    • Project 23 – Solution 00:10:00
    • Project 24 – Concrete Compressive Strength 00:10:00
    • Project 24 – Solution 00:10:00
    • Project 25 – US Baseball Salary Prediction 00:10:00
    • Project 25 – Solution 00:10:00
    • Exam of Statistics & Probability for Data Science: Foundations to Advanced Techniques 00:50:00
    • Premium Certificate 00:15:00
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Yes, our premium certificate and transcript are widely recognized and accepted by embassies worldwide, particularly by the UK embassy. This adds credibility to your qualification and enhances its value for professional and academic purposes.

Yes, this course is designed for learners of all levels, including beginners. The content is structured to provide step-by-step guidance, ensuring that even those with no prior experience can follow along and gain valuable knowledge.

Yes, professionals will also benefit from this course. It covers advanced concepts, practical applications, and industry insights that can help enhance existing skills and knowledge. Whether you are looking to refine your expertise or expand your qualifications, this course provides valuable learning.

No, you have lifetime access to the course. Once enrolled, you can revisit the materials at any time as long as the course remains available. Additionally, we regularly update our content to ensure it stays relevant and up to date.

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Yes, the course includes both assessments and assignments. Your final marks will be determined by a combination of 20% from assignments and 80% from assessments. These evaluations are designed to test your understanding and ensure you have grasped the key concepts effectively.

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Yes, you will receive a free digital certificate automatically once you complete the course. If you would like a premium CPD-accredited certificate, either in digital or physical format, you can upgrade for a small fee.

Course Features

Price

Original price was: £490.00.Current price is: £14.99.

Study Method

Online | Self-paced

Course Format

Reading Material - PDF, article

Duration

21 hours, 55 minutes

Qualification

No formal qualification

Certificate

At completion

Additional info

Coming soon

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