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Maths and Stats Foundation: The Comprehensive Guide

A rigorous and engaging deep-dive into maths and statistics, with hands-on applications and exercises.

Top-Rated 877+ Learners

Created By Emmanuel S.

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  • Expert-Taught Videos

  • Guided Hands-On Exercises

  • Outcome Focus

  • Auto-Graded Assessments

  • Recall Quizzes

  • Real-Time Insights

Starts at

100% Money-Back Guarantee

This Course is Not Available in your region

This Course Includes:

  • 3 Hours of On-Demand Videos
  • 18 Guided Hands-On Exercises
  • 4 Auto-Graded Assessments
  • 1 Assignment
  • 33 Recall Quizzes
  • 4 Ebooks

Training for Teams of 5+?

Transform your workforce with access to KnowledgeHut's top-rated courses.

    Starts at

    100% Money-Back Guarantee

    This Course is Not Available in your region

    This Course Includes:

    • 3 Hours of On-Demand Videos
    • 18 Guided Hands-On Exercises
    • 4 Auto-Graded Assessments
    • 1 Assignment
    • 33 Recall Quizzes
    • 4 Ebooks

    Training for Teams of 5+?

    Transform your workforce with access to KnowledgeHut's top-rated courses.

    What You Will Learn

    • Start with the basics like mean, median and mode and understand the impact of Scaling and Shifting .
    • Understand how regression analysis works and explore the Root Mean Square Error.
    • See how Stats & Maths contribute to data science, machine learning, and business intel.
    • Introduce yourself to Analysis of variance (ANOVA) and it’s use cases.
    • Learn how to perform hypothesis testing and understand T-Test and T-Distribution.
    • Get acquainted with probability distribution and understand the Bayes Theorem.
    Show More

    The KnowledgeHut Edge

    Superior Outcomes

    Focus on skilled-based outcomes with advanced insights from our state-of-the art learning platform.

    Immersive Learning

    Go beyond just videos and learn with recall quizzes, interactive eBooks, case studies and more.

    World-Class Instructors

    Course instructors and designers from top businesses including Google, Amazon, Twitter and IBM.

    Continual Support

    Learn better with support along the way. Get 24/7 help, stay unblocked and ramp up your skills.

    Real-World Learning

    Get an intimate, insider look at leading companies in the field through real-world case studies.

    Industry-Vetted Curriculum

    Curriculum primed for industry relevance and developed with guidance from industry advisory boards.

    Curriculum 

    1.

    Learning Objectives:

    Introduce yourself to statistics with the basics like mean, median, and mode and its applications. 

    Topics
    • Mean 
    • Median 
    • Mode 
    • Mean vs Median 
    • Skewness 
    • Skewness Practice 
    • Skewness Solution 
    • Range and IQR 
    • Sample vs Population 
    • Variance and Standard Deviation
    • Impact of Scaling and Shifting 
    • Statistical Moments 
    2.

    Learning Objectives:

    Get acquainted with probability distribution and normal distribution and their application. 

    Topics
    • What is a Distribution? 
    • Normal Distribution 
    • Z-Scores 
    • Exercise - Normal Distribution 
    • Solution - Normal Distribution
    3.

    Learning Objectives:

    Understand probability theory, learn the solutions for addition rule and multiplication rule and get an overview of various theorems such as Bayes theorem and central limit theorem. 

    Topics
    • Intro 
    • Probability Basics 
    • Simple Probability - Exercise 1 
    • Simple Probability - Quick Solution 
    • Detailed Solution - Simple Probability 
    • The Addition Rule 
    • Exercise - Addition Rule 
    • Quick Solution - Addition Rule 
    • Addition Rule - Solution 
    • Multiplication Rule 
    • Rule of Multiplication - Exercise 
    • Rule of Multiplication - Solution 
    • Bayes Theorem 
    • Bayes Example 
    • Expected Value 
    • Expected Value - Exercise 
    • Expected Value - Solution 
    • 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 
    4.

    Learning Objectives:

    Learn to perform Hypothesis Testing and its application in data science. 

    Topics
    • Intro
    • What Is an Hypothesis?
    • Significance Level and P-Value
    • Type I and Type II Error
    • Confidence Intervals and Margin of Error
    • Excursion: Calculating Sample Size and Power
    • Performing the Hypothesis Test
    • Hypothesis Test – Exercise
    • Hypothesis Test – Solution
    • T-Test and T-Distribution
    • Hypothesis – Proportion Testing
    • Important P-Z Pairs
    5.

    Learning Objectives:

    Get an overview of linear regression and get acquainted with RMSD and RMSE. 

    Topics
    • Intro
    • Linear Regression
    • Correlation Coefficient
    • Correlation – Exercise
    • Correlation – Solution
    • Regression – Exercise
    • Regression – Solution
    • Residual, MSE and MAE
    • MSE and MAE – Exercise
    • MSE and MAE – Solution
    • Coefficient of Determination
    • Root Mean Square Error
    • Root Mean Square Error – Exercise
    • Root Mean Square Error – Solution
    • Multiple Linear Regression
    6.

    Learning Objectives:

    Gain in-depth understanding of regression through its various types like Multiple Linear Regression, Polynomial Regression etc and learn to tackle Missing Data. 

    Topics
    • Multiple Linear Regression 
    • Overfitting 
    • Polynomial Regression 
    • Logistic Regression 
    • Decision Trees 
    • Regression Trees 
    • Random Forests 
    • Strategies to Deal With Missing Data 
    7.

    Learning Objectives:

    Learn to use Analysis of variance (ANOVA) to split an observed aggregate variability found inside a data set into two parts: systematic factors and random factors. 

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

    Prerequisites

    There are no prerequisites for this course.

    What Learners Are Saying

    Thanks to team KH, I was able to WFH and attain conceptual knowledge in Maths & Statistics.

    L
    Lakshmi Nanda

    Market Research Analyst

    This is a solid refresher in Maths and Stats and for Learning the basics but at a flexible schedule.

    M
    Meera Nair

    Data Engineer

    This is great for a solid foundation in Maths and Statistics in a self-learning format. The on-demand videos was good.

    S
    Sreejit Vishwanathan

    Data Consultant

    Thanks to this on-demand course from KnowledgeHut, I improved my Math concepts from home at my own pace.

    R
    Rob D'Souza

    Business Analyst

    In my opinion, this is the best way to learn in Math and Statistics. The on-demand content was paced very well.

    V
    Vincent Mendonca

    Data Analyst

    How Our Course Compares

    YouTube Videos Online Courses KnowledgeHut

    On-Demand Videos

    Immersive Learning Experience

    Structured Curriculum

    Course Curated by Industry Experts

    Auto-Graded Assessments

    Lifetime Access to Courseware

    Our Course Advisor

    Emmanuel S.
    Emmanuel S.

    Data Consultant

    Emmanuel is an experienced Data Analyst with expertise across SQL, Excel VBA, Excel PowerQuery, Power BI and R among others. He brings on board 15+ years of experience, across institutional, state and federal organizations.

    Our Course Advisor

    Emmanuel is an experienced Data Analyst with expertise across SQL, Excel VBA, Excel PowerQuery, Power BI and R among others. He brings on board 15+ years of experience, across institutional, state and federal organizations.

    Emmanuel S.
    Emmanuel S.

    Data Consultant

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    Frequently Asked Questions

    Yes, you will experience KnowledgeHut's immersive learning in an on-demand format. This will include e-learning material to help you:

    • LEARN with recall quizzes, interactive ebooks, and case studies
    • ASSESS your skills progression with diagnostic, module-level, and final assessments
    • PRACTICE with real-world simulations and Cloud Labs
    • GAIN INSIGHTS with real-time reports and analytics on how you're progressing, your learning challenges, and suggestions of sections to revisit to build competency in the required areas.

    Yes, our online course is designed to give you flexibility to skill up as per your convenience. The course is delivered in a Self-Paced mode so that you can balance your work and learning as per your schedule.

    Yes! Upon passing this online course, you will receive a signed certificate of completion from KnowledgeHut. Thousands of KnowledgeHut alumni use their course certificate to demonstrate skills to employers and their networks.

    KnowledgeHut’s online courses is well-regarded by industry experts, who contribute to our curriculum and use our tech programs to train their own teams.


    The software and system requirements for this online course is as follows:
    Software Requirements
    - Internet browser

    System Requirements
    - Windows or equivalent environment with Internet browser and high-speed Internet connectivity.

    Yes, it does. In the unlikely event that you are not satisfied with the course, and you wish to withdraw within the first seven days, we’ll issue a 100% refund. No questions asked!

    You can cancel your enrolment and receive refunds in line with our Cancellations and Refunds policy found at https://www.knowledgehut.com/refund-policy.

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