Course Features

Price

Original price was: £499.00.Current price is: £19.99.

Study Method

Online | Self-paced

Course Format

Reading Material - PDF, article

Duration

10 hours, 55 minutes

Qualification

No formal qualification

Certificate

At completion

Overview

Course overview
Who is this course?
Requirments
Career Path

Who is this Course for?

Course overview
Who is this course?
Requirments
Career Path

Requirements

Course overview
Who is this course?
Requirments
Career Path

Career Path

Course overview
Who is this course?
Requirments
Career Path

    • Introduction to Statistics: Definitions and Applications 00:10:00
    • Types of Data: Qualitative vs. Quantitative 00:10:00
    • Scales of Measurement: Nominal, Ordinal, Interval & Ratio 00:10:00
    • Descriptive vs. Inferential Statistics 00:10:00
    • Data Collection Methods & Sampling Techniques 00:10:00
    • Measures of Central Tendency: Mean, Median, and Mode 00:10:00
    • Measures of Dispersion: Range, Variance, Standard Deviation 00:10:00
    • Skewness and Kurtosis 00:10:00
    • Frequency Distributions & Histograms 00:10:00
    • Box Plots and Outlier Detection 00:10:00
    • Introduction to Probability & Set Theory 00:10:00
    • Conditional Probability & Bayes’ Theorem 00:10:00
    • Random Variables & Probability Distributions 00:10:00
    • Discrete Probability Distributions: Binomial & Poisson 00:10:00
    • Continuous Probability Distributions: Normal, t, and Exponential 00:10:00
    • Sampling Distributions & the Central Limit Theorem 00:10:00
    • Confidence Intervals & Margin of Error 00:10:00
    • Hypothesis Testing: Null vs. Alternative Hypothesis 00:10:00
    • Type I and Type II Errors 00:10:00
    • One-Sample and Two-Sample Tests (t-tests & z-tests) 00:10:00
    • Introduction to Correlation & Causation 00:10:00
    • Simple Linear Regression: Concept & Interpretation 00:10:00
    • Multiple Regression Analysis & Assumptions 00:10:00
    • Logistic Regression & Its Applications 00:10:00
    • Evaluating Model Performance & Goodness-of-Fit Tests 00:10:00
    • Introduction to ANOVA: One-Way & Two-Way ANOVA 00:10:00
    • Assumptions and Interpretation of ANOVA 00:10:00
    • Experimental Design Principles: Randomization & Blocking 00:10:00
    • Factorial Experiments & Interaction Effects 00:10:00
    • Post-Hoc Tests & Multiple Comparisons 00:10:00
    • Introduction to Non-Parametric Methods 00:10:00
    • Chi-Square Tests for Independence & Goodness-of-Fit 00:10:00
    • Mann-Whitney U Test & Wilcoxon Signed-Rank Test 00:10:00
    • Kruskal-Wallis and Friedman Tests 00:10:00
    • Bootstrapping and Resampling Techniques 00:10:00
    • Introduction to Time Series Data & Components 00:10:00
    • Moving Averages & Exponential Smoothing 00:10:00
    • Autoregressive (AR), Moving Average (MA), and ARMA Models 00:10:00
    • ARIMA Models for Forecasting 00:10:00
    • Seasonal Adjustments & Trend Analysis 00:10:00
    • Principal Component Analysis (PCA) 00:10:00
    • Factor Analysis & Cluster Analysis 00:10:00
    • Discriminant Analysis & Classification Models 00:10:00
    • Structural Equation Modeling (SEM) 00:10:00
    • Advanced Machine Learning Techniques in Statistics 00:10:00
    • Introduction to Statistical Software (SPSS, R, Python) 00:10:00
    • Data Cleaning & Preprocessing for Analysis 00:10:00
    • Conducting Statistical Tests Using Software 00:10:00
    • Data Visualization & Interpretation of Results 00:10:00
    • Real-World Case Studies & Applications 00:10:00
    • Ethical Issues in Data Collection & Privacy 00:10:00
    • Misuse of Statistics & Data Manipulation 00:10:00
    • Transparency & Reproducibility in Research 00:10:00
    • Bias in Statistical Analysis & Avoiding Misinterpretation 00:10:00
    • Legal and Professional Standards in Data Science 00:10:00
    • Designing a Statistical Research Project 00:10:00
    • Data Collection & Cleaning Techniques 00:10:00
    • Conducting Statistical Tests & Interpretation 00:10:00
    • Writing & Presenting Statistical Reports 00:10:00
    • Final Assessment & Peer Review 00:10:00
      • Exam of Statistics Level 8 Advanced Diploma 00:50:00
      • Claim your Certificate 00:05:00

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    Course Features

    Price

    Original price was: £499.00.Current price is: £19.99.

    Study Method

    Online | Self-paced

    Course Format

    Reading Material - PDF, article

    Duration

    10 hours, 55 minutes

    Qualification

    No formal qualification

    Certificate

    At completion

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